diff --git a/.DS_Store b/.DS_Store index 650cf8b68d8a92f65adb0ac121e86d25c1f5c919..efee7451391bd609c24164a34f0f74db946f3592 100644 Binary files a/.DS_Store and b/.DS_Store differ diff --git a/DataAnnotation/.DS_Store b/DataAnnotation/.DS_Store index 8b40a07badde4cf3c63d927e1e1c2cbb1d759627..31c3b79280075fb648e96f07a6e339e112e93963 100644 Binary files a/DataAnnotation/.DS_Store and b/DataAnnotation/.DS_Store differ diff --git a/DataAnnotation/AnnotationNote/.DS_Store b/DataAnnotation/AnnotationNote/.DS_Store index 5008ddfcf53c02e82d7eee2e57c38e5672ef89f6..a22c8296b0f8a3761b4fdbdd8f43558c4e4f03c4 100644 Binary files a/DataAnnotation/AnnotationNote/.DS_Store and b/DataAnnotation/AnnotationNote/.DS_Store differ diff --git "a/DataAnnotation/AnnotationNote/2_[\347\233\256\346\240\207\346\243\200\346\265\213]\345\222\214[\345\256\236\344\276\213\345\210\206\345\211\262]\344\273\273\345\212\241\346\225\260\346\215\256\346\240\207\346\263\250.md" "b/DataAnnotation/AnnotationNote/2_[\345\256\236\344\276\213\345\210\206\345\211\262]\346\225\260\346\215\256\346\240\207\346\263\250.md" similarity index 100% rename from "DataAnnotation/AnnotationNote/2_[\347\233\256\346\240\207\346\243\200\346\265\213]\345\222\214[\345\256\236\344\276\213\345\210\206\345\211\262]\344\273\273\345\212\241\346\225\260\346\215\256\346\240\207\346\263\250.md" rename to "DataAnnotation/AnnotationNote/2_[\345\256\236\344\276\213\345\210\206\345\211\262]\346\225\260\346\215\256\346\240\207\346\263\250.md" diff --git a/DataAnnotation/README.md b/DataAnnotation/README.md index 705e810df491eeefb574d97b65afecfacce8f12e..f99a779140f6d3075dda0dbd6662b78bd68875b2 100644 --- a/DataAnnotation/README.md +++ b/DataAnnotation/README.md @@ -1,5 +1,5 @@ ### 数据标注 -在DataAnnotation模块下，我们依赖LabeMe标注工具，同时提供了数据处理脚本，帮助用户快速准备训练目标检测和语义分割任务所需的数据。 +您可以使用LabeMe标注工具对您的数据进行标注，同时提供了数据处理脚本，帮助用户快速准备训练目标检测和语义分割任务所需的数据。 ### LabelMe LabelMe是目前广泛使用的数据标注工具，并且在GitHub上开源给用户使用。 diff --git a/DataAnnotation/labelme/.github/stale.yaml b/DataAnnotation/labelme/.github/stale.yaml deleted file mode 100644 index c7f5aacf50bf772df4204484dba5d878968f8058..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/.github/stale.yaml +++ /dev/null @@ -1,19 +0,0 @@ -# Number of days of inactivity before an issue becomes stale -daysUntilStale: 30 -# Number of days of inactivity before a stale issue is closed -daysUntilClose: 7 -# Issues with these labels will never be considered stale -exemptLabels: - - bug -# Label to use when marking an issue as stale -staleLabel: stale -# Comment to post when marking an issue as stale. Set to `false` to disable -markComment: > - This issue has been automatically marked as stale because it has not had - recent activity. It will be closed if no further activity occurs. Thank you - for your contributions. -# Comment to post when removing the stale label. Set to `false` to disable -unmarkComment: false -# Comment to post when closing a stale issue. Set to `false` to disable -closeComment: > - This issue is closed as announced. Feel free to re-open it if needed. diff --git a/DataAnnotation/labelme/.gitignore b/DataAnnotation/labelme/.gitignore deleted file mode 100644 index 0495fc6d1898a78e0d56a1c730ed3f4b729313fd..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/.gitignore +++ /dev/null @@ -1,10 +0,0 @@ -/.cache/ -/.pytest_cache/ - -/build/ -/dist/ -/*.egg-info/ - -*.py[cdo] - -.DS_Store diff --git a/DataAnnotation/labelme/.gitmodules b/DataAnnotation/labelme/.gitmodules deleted file mode 100644 index e077fcaed02942df4f9cb91e055a41782b315777..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/.gitmodules +++ /dev/null @@ -1,3 +0,0 @@ -[submodule "github2pypi"] - path = github2pypi - url = https://github.com/wkentaro/github2pypi.git diff --git a/DataAnnotation/labelme/.travis.yml b/DataAnnotation/labelme/.travis.yml deleted file mode 100644 index 799d0b97ea65096ac5af16a1c0891029cefbbf25..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/.travis.yml +++ /dev/null @@ -1,140 +0,0 @@ -language: generic - -cache: - - pip - -sudo: required - -dist: trusty - -branches: - only: - - master - - /v\d+\.\d+.\d+/ - -notifications: - email: false - -env: - global: - # used by ci-helpers - - SETUP_XVFB=true - - PIP_DEPENDENCIES='hacking pytest pytest-qt' - - - MPLBACKEND=TkAgg # for osx -matrix: - include: - - os: osx - env: - - PYTEST_QT_API=pyqt5 - - PYQT_PACKAGE='pyqt=5' - - PYTHON_VERSION=3.6 - - RUN_PYINSTALLER=true - - os: linux - dist: trusty - env: - - PYTEST_QT_API=pyqt4v2 - - PYQT_PACKAGE='pyqt=4' - - PYTHON_VERSION=2.7 - - os: linux - dist: trusty - env: - - PYTEST_QT_API=pyside2 - - CONDA_CHANNELS='conda-forge' - - PYQT_PACKAGE='pyside2!=5.12.4' - - PYTHON_VERSION=2.7 - - os: linux - dist: trusty - env: - - PYTEST_QT_API=pyside2 - - CONDA_CHANNELS='conda-forge' - - PYQT_PACKAGE='pyside2' - - PYTHON_VERSION=3.6 - - os: linux - dist: trusty - env: - - PYTEST_QT_API=pyqt5 - - PYQT_PACKAGE='pyqt=5' - - PYTHON_VERSION=2.7 - - os: linux - dist: trusty - env: - - PYTEST_QT_API=pyqt5 - - PYQT_PACKAGE='pyqt=5' - - PYTHON_VERSION=3.6 - - RUN_PYINSTALLER=true - -install: - # Setup X - - | - if [ $TRAVIS_OS_NAME = "linux" ]; then - sudo apt-get update - # Xvfb / window manager - sudo apt-get install -y xvfb herbstluftwm - elif [ $TRAVIS_OS_NAME = "osx" ]; then - brew cask install xquartz - fi - - # Setup miniconda - - git clone --depth 1 git://github.com/astropy/ci-helpers.git - - CONDA_DEPENDENCIES=$PYQT_PACKAGE source ci-helpers/travis/setup_conda.sh - - source activate test && export LD_LIBRARY_PATH=$CONDA_PREFIX/lib:$LD_LIBRARY_PATH - - pip install . - - rm -rf ci-helpers miniconda.sh - -before_script: - - if [ $TRAVIS_OS_NAME = "linux" ]; then (herbstluftwm )& fi - - if [ $TRAVIS_OS_NAME = "osx" ]; then (sudo Xvfb :99 -ac -screen 0 1024x768x8 )& fi - - sleep 1 - -script: - # Run flake8 - - flake8 examples labelme setup.py tests - - # Run help2man - - conda install -y help2man - - # Run pytest - - pytest -v tests - - - labelme --help - - labelme --version - - # Run examples - - (cd examples/primitives && labelme_json_to_dataset primitives.json && rm -rf primitives_json) - - (cd examples/tutorial && rm -rf apc2016_obj3_json && labelme_json_to_dataset apc2016_obj3.json && python load_label_png.py && git checkout -- .) - - (cd examples/semantic_segmentation && rm -rf data_dataset_voc && ./labelme2voc.py data_annotated data_dataset_voc --labels labels.txt && git checkout -- .) - - (cd examples/instance_segmentation && rm -rf data_dataset_voc && ./labelme2voc.py data_annotated data_dataset_voc --labels labels.txt && git checkout -- .) - - (cd examples/video_annotation && rm -rf data_dataset_voc && ./labelme2voc.py data_annotated data_dataset_voc --labels labels.txt && git checkout -- .) - - - pip install lxml # for bbox_detection/labelme2voc.py - - (cd examples/bbox_detection && rm -rf data_dataset_voc && ./labelme2voc.py data_annotated data_dataset_voc --labels labels.txt && git checkout -- .) - - - pip install cython && pip install pycocotools # for instance_segmentation/labelme2coco.py - - (cd examples/instance_segmentation && rm -rf data_dataset_coco && ./labelme2coco.py data_annotated data_dataset_coco --labels labels.txt && git checkout -- .) - - # Run pyinstaller - - | - if [ "$RUN_PYINSTALLER" = "true" ]; then - # Cleanup - pip uninstall -y $PIP_DEPENDENCIES - - # https://github.com/wkentaro/labelme/issues/183 - if [ $TRAVIS_OS_NAME = "osx" ]; then - pip uninstall -y Pillow - conda install -y Pillow - fi - - # Build the standalone executable - pip install 'pyinstaller!=3.4' # 3.4 raises error - - # numpy 1.17 raises error - # See https://github.com/wkentaro/labelme/issues/465 - pip install 'numpy<1.17' - - pyinstaller labelme.spec - dist/labelme --version - fi - -after_script: - - true # noop diff --git a/DataAnnotation/labelme/LICENSE b/DataAnnotation/labelme/LICENSE deleted file mode 100644 index bde8540348ca6a49db4cfc3d0fa57ba2d4c44377..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/LICENSE +++ /dev/null @@ -1,15 +0,0 @@ -Copyright (C) 2016-2018 Kentaro Wada. -Copyright (C) 2011 Michael Pitidis, Hussein Abdulwahid. - -Labelme is free software: you can redistribute it and/or modify -it under the terms of the GNU General Public License as published by -the Free Software Foundation, either version 3 of the License, or -(at your option) any later version. - -Labelme is distributed in the hope that it will be useful, -but WITHOUT ANY WARRANTY; without even the implied warranty of -MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -GNU General Public License for more details. - -You should have received a copy of the GNU General Public License -along with Labelme. If not, see . diff --git a/DataAnnotation/labelme/MANIFEST.in b/DataAnnotation/labelme/MANIFEST.in deleted file mode 100644 index bb3ec5f0d4c70ef732aa4d399282a5ddb2a008fd..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/MANIFEST.in +++ /dev/null @@ -1 +0,0 @@ -include README.md diff --git a/DataAnnotation/labelme/README.md b/DataAnnotation/labelme/README.md deleted file mode 100644 index 2d03e0cbb379af09106b217036c3894f47382a98..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/README.md +++ /dev/null @@ -1,243 +0,0 @@ -

-
labelme -

- -

- Image Polygonal Annotation with Python -

- -
- - - - -
- -
- -
- -
- -## Description - -Labelme is a graphical image annotation tool inspired by . -It is written in Python and uses Qt for its graphical interface. - - -VOC dataset example of instance segmentation. - - -Other examples (semantic segmentation, bbox detection, and classification). - - -Various primitives (polygon, rectangle, circle, line, and point). - - -## Features - -- [x] Image annotation for polygon, rectangle, circle, line and point. ([tutorial](examples/tutorial)) -- [x] Image flag annotation for classification and cleaning. ([#166](https://github.com/wkentaro/labelme/pull/166)) -- [x] Video annotation. ([video annotation](examples/video_annotation)) -- [x] GUI customization (predefined labels / flags, auto-saving, label validation, etc). ([#144](https://github.com/wkentaro/labelme/pull/144)) -- [x] Exporting VOC-format dataset for semantic/instance segmentation. ([semantic segmentation](examples/semantic_segmentation), [instance segmentation](examples/instance_segmentation)) -- [x] Exporting COCO-format dataset for instance segmentation. ([instance segmentation](examples/instance_segmentation)) - - - -## Requirements - -- Ubuntu / macOS / Windows -- Python2 / Python3 -- [PyQt4 / PyQt5](http://www.riverbankcomputing.co.uk/software/pyqt/intro) / [PySide2](https://wiki.qt.io/PySide2_GettingStarted) - - -## Installation - -There are options: - -- Platform agonistic installation: [Anaconda](#anaconda), [Docker](#docker) -- Platform specific installation: [Ubuntu](#ubuntu), [macOS](#macos), [Windows](#windows) - -### Anaconda - -You need install [Anaconda](https://www.continuum.io/downloads), then run below: - -```bash -# python2 -conda create --name=labelme python=2.7 -source activate labelme -# conda install -c conda-forge pyside2 -conda install pyqt -pip install labelme -# if you'd like to use the latest version. run below: -# pip install git+https://github.com/wkentaro/labelme.git - -# python3 -conda create --name=labelme python=3.6 -source activate labelme -# conda install -c conda-forge pyside2 -# conda install pyqt -pip install pyqt5 # pyqt5 can be installed via pip on python3 -pip install labelme -``` - -### Docker - -You need install [docker](https://www.docker.com), then run below: - -```bash -wget https://raw.githubusercontent.com/wkentaro/labelme/master/labelme/cli/on_docker.py -O labelme_on_docker -chmod u+x labelme_on_docker - -# Maybe you need http://sourabhbajaj.com/blog/2017/02/07/gui-applications-docker-mac/ on macOS -./labelme_on_docker examples/tutorial/apc2016_obj3.jpg -O examples/tutorial/apc2016_obj3.json -./labelme_on_docker examples/semantic_segmentation/data_annotated -``` - -### Ubuntu - -```bash -# Ubuntu 14.04 / Ubuntu 16.04 -# Python2 -# sudo apt-get install python-qt4 # PyQt4 -sudo apt-get install python-pyqt5 # PyQt5 -sudo pip install labelme -# Python3 -sudo apt-get install python3-pyqt5 # PyQt5 -sudo pip3 install labelme -``` - -### Ubuntu 19.10+ / Debian (sid) - -```bash -sudo apt-get install labelme -``` - -### macOS - -```bash -# macOS Sierra -brew install pyqt # maybe pyqt5 -pip install labelme # both python2/3 should work - -# or install standalone executable / app -# NOTE: this only installs the `labelme` command -brew install wkentaro/labelme/labelme -brew cask install wkentaro/labelme/labelme -``` - -### Windows - -Firstly, follow instruction in [Anaconda](#anaconda). - -```bash -# Pillow 5 causes dll load error on Windows. -# https://github.com/wkentaro/labelme/pull/174 -conda install pillow=4.0.0 -``` - - -## Usage - -Run `labelme --help` for detail. -The annotations are saved as a [JSON](http://www.json.org/) file. - -```bash -labelme # just open gui - -# tutorial (single image example) -cd examples/tutorial -labelme apc2016_obj3.jpg # specify image file -labelme apc2016_obj3.jpg -O apc2016_obj3.json # close window after the save -labelme apc2016_obj3.jpg --nodata # not include image data but relative image path in JSON file -labelme apc2016_obj3.jpg \ - --labels highland_6539_self_stick_notes,mead_index_cards,kong_air_dog_squeakair_tennis_ball # specify label list - -# semantic segmentation example -cd examples/semantic_segmentation -labelme data_annotated/ # Open directory to annotate all images in it -labelme data_annotated/ --labels labels.txt # specify label list with a file -``` - -For more advanced usage, please refer to the examples: - -* [Tutorial (Single Image Example)](examples/tutorial) -* [Semantic Segmentation Example](examples/semantic_segmentation) -* [Instance Segmentation Example](examples/instance_segmentation) -* [Video Annotation Example](examples/video_annotation) - -### Command Line Arguemnts -- `--output` specifies the location that annotations will be written to. If the location ends with .json, a single annotation will be written to this file. Only one image can be annotated if a location is specified with .json. If the location does not end with .json, the program will assume it is a directory. Annotations will be stored in this directory with a name that corresponds to the image that the annotation was made on. -- The first time you run labelme, it will create a config file in `~/.labelmerc`. You can edit this file and the changes will be applied the next time that you launch labelme. If you would prefer to use a config file from another location, you can specify this file with the `--config` flag. -- Without the `--nosortlabels` flag, the program will list labels in alphabetical order. When the program is run with this flag, it will display labels in the order that they are provided. -- Flags are assigned to an entire image. [Example](examples/classification) -- Labels are assigned to a single polygon. [Example](examples/bbox_detection) - -## FAQ - -- **How to convert JSON file to numpy array?** See [examples/tutorial](examples/tutorial#convert-to-dataset). -- **How to load label PNG file?** See [examples/tutorial](examples/tutorial#how-to-load-label-png-file). -- **How to get annotations for semantic segmentation?** See [examples/semantic_segmentation](examples/semantic_segmentation). -- **How to get annotations for instance segmentation?** See [examples/instance_segmentation](examples/instance_segmentation). - - -## Testing - -```bash -pip install hacking pytest pytest-qt -flake8 . -pytest -v tests -``` - - -## Developing - -```bash -git clone https://github.com/wkentaro/labelme.git -cd labelme - -# Install anaconda3 and labelme -curl -L https://github.com/wkentaro/dotfiles/raw/master/local/bin/install_anaconda3.sh | bash -s . -source .anaconda3/bin/activate -pip install -e . -``` - - -## How to build standalone executable - -Below shows how to build the standalone executable on macOS, Linux and Windows. -Also, there are pre-built executables in -[the release section](https://github.com/wkentaro/labelme/releases). - -```bash -# Setup conda -conda create --name labelme python==3.6.0 -conda activate labelme - -# Build the standalone executable -pip install . -pip install pyinstaller -pyinstaller labelme.spec -dist/labelme --version -``` - - -## Acknowledgement - -This repo is the fork of [mpitid/pylabelme](https://github.com/mpitid/pylabelme), -whose development has already stopped. - - -## Cite This Project - -If you use this project in your research or wish to refer to the baseline results published in the README, please use the following BibTeX entry. - -```bash -@misc{labelme2016, - author = {Ketaro Wada}, - title = {{labelme: Image Polygonal Annotation with Python}}, - howpublished = {\url{https://github.com/wkentaro/labelme}}, - year = {2016} -} -``` diff --git a/DataAnnotation/labelme/docker/Dockerfile b/DataAnnotation/labelme/docker/Dockerfile deleted file mode 100644 index 0b0a895310e39b1052a75b750f6206ed6faf3cad..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/docker/Dockerfile +++ /dev/null @@ -1,29 +0,0 @@ -FROM ubuntu:xenial - -# http://fabiorehm.com/blog/2014/09/11/running-gui-apps-with-docker/ -RUN export uid=1000 gid=1000 && \ - mkdir -p /home/developer && \ - echo "developer:x:${uid}:${gid}:Developer,,,:/home/developer:/bin/bash" >> /etc/passwd && \ - echo "developer:x:${uid}:" >> /etc/group && \ - mkdir -p /etc/sudoers.d && \ - echo "developer ALL=(ALL) NOPASSWD: ALL" > /etc/sudoers.d/developer && \ - chmod 0440 /etc/sudoers.d/developer && \ - chown ${uid}:${gid} -R /home/developer - -RUN \ - apt-get update -qq && \ - apt-get upgrade -qq -y && \ - apt-get install -qq -y \ - # requirements - git \ - python3 \ - python3-pip \ - python3-matplotlib \ - python3-pyqt5 \ - # utilities - sudo - -RUN pip3 install -v git+https://github.com/wkentaro/labelme.git - -USER developer -ENV HOME /home/developer diff --git a/DataAnnotation/labelme/docs/man/labelme.1 b/DataAnnotation/labelme/docs/man/labelme.1 deleted file mode 100644 index 0f6891c9ccfa8d00cd819d9f9b4f54a26d508547..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/docs/man/labelme.1 +++ /dev/null @@ -1,81 +0,0 @@ -.\" DO NOT MODIFY THIS FILE! It was generated by help2man 1.47.8. -.TH LABELME "1" "August 2019" "labelme 3.16.3" "User Commands" -.SH NAME -labelme \- manual page for labelme 3.16.3 -.SH DESCRIPTION -usage: labelme [\-h] [\-\-version] [\-\-reset\-config] -.IP -[\-\-logger\-level {debug,info,warning,fatal,error}] -[\-\-output OUTPUT] [\-\-config CONFIG_FILE] [\-\-nodata] -[\-\-autosave] [\-\-nosortlabels] [\-\-flags FLAGS] -[\-\-labelflags LABEL_FLAGS] [\-\-labels LABELS] -[\-\-validatelabel {exact,instance}] [\-\-keep\-prev] -[\-\-epsilon EPSILON] -[filename] -.SS "positional arguments:" -.TP -filename -image or label filename -.SS "optional arguments:" -.TP -\fB\-h\fR, \fB\-\-help\fR -show this help message and exit -.TP -\fB\-\-version\fR, \fB\-V\fR -show version -.TP -\fB\-\-reset\-config\fR -reset qt config -.TP -\fB\-\-logger\-level\fR {debug,info,warning,fatal,error} -logger level -.TP -\fB\-\-output\fR OUTPUT, \fB\-O\fR OUTPUT, \fB\-o\fR OUTPUT -output file or directory (if it ends with .json it is -recognized as file, else as directory) -.TP -\fB\-\-config\fR CONFIG_FILE -config file (default: /home/wkentaro/.labelmerc) -.TP -\fB\-\-nodata\fR -stop storing image data to JSON file -.TP -\fB\-\-autosave\fR -auto save -.TP -\fB\-\-nosortlabels\fR -stop sorting labels -.TP -\fB\-\-flags\fR FLAGS -comma separated list of flags OR file containing flags -.TP -\fB\-\-labelflags\fR LABEL_FLAGS -yaml string of label specific flags OR file containing -json string of label specific flags (ex. {person\-\ed+: -[male, tall], dog\-\ed+: [black, brown, white], .*: -[occluded]}) -.TP -\fB\-\-labels\fR LABELS -comma separated list of labels OR file containing -labels -.TP -\fB\-\-validatelabel\fR {exact,instance} -label validation types -.TP -\fB\-\-keep\-prev\fR -keep annotation of previous frame -.TP -\fB\-\-epsilon\fR EPSILON -epsilon to find nearest vertex on canvas -.SH "SEE ALSO" -The full documentation for -.B labelme -is maintained as a Texinfo manual. If the -.B info -and -.B labelme -programs are properly installed at your site, the command -.IP -.B info labelme -.PP -should give you access to the complete manual. diff --git a/DataAnnotation/labelme/examples/bbox_detection/.readme/annotation.jpg b/DataAnnotation/labelme/examples/bbox_detection/.readme/annotation.jpg deleted file mode 100644 index d9096201e3b9df6a7024de17c3bb0d72da5af4a3..0000000000000000000000000000000000000000 Binary files a/DataAnnotation/labelme/examples/bbox_detection/.readme/annotation.jpg and /dev/null differ diff --git a/DataAnnotation/labelme/examples/bbox_detection/README.md b/DataAnnotation/labelme/examples/bbox_detection/README.md deleted file mode 100644 index dbe65a3c7b6a4e72bee954966d04b5c3eff1794c..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/examples/bbox_detection/README.md +++ /dev/null @@ -1,25 +0,0 @@ -# Bounding Box Detection Example - - -## Usage - -```bash -labelme data_annotated --labels labels.txt --nodata --autosave -``` - -![](.readme/annotation.jpg) - - -## Convert to VOC-format Dataset - -```bash -# It generates: -# - data_dataset_voc/JPEGImages -# - data_dataset_voc/Annotations -# - data_dataset_voc/AnnotationsVisualization -./labelme2voc.py data_annotated data_dataset_voc --labels labels.txt -``` - - - -Fig1. JPEG image (left), Bounding box annotation visualization (right). diff --git a/DataAnnotation/labelme/examples/bbox_detection/data_annotated/2011_000003.jpg b/DataAnnotation/labelme/examples/bbox_detection/data_annotated/2011_000003.jpg deleted file mode 100755 index b3bea66c5f9619bf62885cb6afd9c22a54b9d23d..0000000000000000000000000000000000000000 Binary files a/DataAnnotation/labelme/examples/bbox_detection/data_annotated/2011_000003.jpg and /dev/null differ diff --git a/DataAnnotation/labelme/examples/bbox_detection/data_annotated/2011_000003.json b/DataAnnotation/labelme/examples/bbox_detection/data_annotated/2011_000003.json deleted file mode 100644 index 17c3dd33c16a3ecd7260b0c745c0aac8fe335bae..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/examples/bbox_detection/data_annotated/2011_000003.json +++ /dev/null @@ -1,51 +0,0 @@ -{ - "flags": {}, - "shapes": [ - { - "label": "person", - "line_color": null, - "fill_color": null, - "points": [ - [ - 191, - 107 - ], - [ - 313, - 329 - ] - ], - "shape_type": "rectangle" - }, - { - "label": "person", - "line_color": null, - "fill_color": null, - "points": [ - [ - 365, - 83 - ], - [ - 500, - 333 - ] - ], - "shape_type": "rectangle" - } - ], - "lineColor": [ - 0, - 255, - 0, - 128 - ], - "fillColor": [ - 255, - 0, - 0, - 128 - ], - "imagePath": "2011_000003.jpg", - "imageData": null -} \ No newline at end of file diff --git a/DataAnnotation/labelme/examples/bbox_detection/data_annotated/2011_000006.jpg b/DataAnnotation/labelme/examples/bbox_detection/data_annotated/2011_000006.jpg deleted file mode 100755 index d713c46a2f1483f9d67e34f2b09ac3caea10d056..0000000000000000000000000000000000000000 Binary files a/DataAnnotation/labelme/examples/bbox_detection/data_annotated/2011_000006.jpg and /dev/null differ diff --git a/DataAnnotation/labelme/examples/bbox_detection/data_annotated/2011_000006.json b/DataAnnotation/labelme/examples/bbox_detection/data_annotated/2011_000006.json deleted file mode 100644 index ec6fc693e381f01b15d5a87b676e35398eb5a34d..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/examples/bbox_detection/data_annotated/2011_000006.json +++ /dev/null @@ -1,83 +0,0 @@ -{ - "flags": {}, - "shapes": [ - { - "label": "person", - "line_color": null, - "fill_color": null, - "points": [ - [ - 91, - 107 - ], - [ - 240, - 330 - ] - ], - "shape_type": "rectangle" - }, - { - "label": "person", - "line_color": null, - "fill_color": null, - "points": [ - [ - 178, - 110 - ], - [ - 298, - 282 - ] - ], - "shape_type": "rectangle" - }, - { - "label": "person", - "line_color": null, - "fill_color": null, - "points": [ - [ - 254, - 115 - ], - [ - 369, - 292 - ] - ], - "shape_type": "rectangle" - }, - { - "label": "person", - "line_color": null, - "fill_color": null, - "points": [ - [ - 395, - 81 - ], - [ - 447, - 117 - ] - ], - "shape_type": "rectangle" - } - ], - "lineColor": [ - 0, - 255, - 0, - 128 - ], - "fillColor": [ - 255, - 0, - 0, - 128 - ], - "imagePath": "2011_000006.jpg", - "imageData": null -} \ No newline at end of file diff --git a/DataAnnotation/labelme/examples/bbox_detection/data_annotated/2011_000025.jpg b/DataAnnotation/labelme/examples/bbox_detection/data_annotated/2011_000025.jpg deleted file mode 100755 index c26c3895f352b7abbde5ab458fcd78ed3122ea87..0000000000000000000000000000000000000000 Binary files a/DataAnnotation/labelme/examples/bbox_detection/data_annotated/2011_000025.jpg and /dev/null differ diff --git a/DataAnnotation/labelme/examples/bbox_detection/data_annotated/2011_000025.json b/DataAnnotation/labelme/examples/bbox_detection/data_annotated/2011_000025.json deleted file mode 100644 index c39d26a4763e1cef92d9875245bdfbeb4b0daf45..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/examples/bbox_detection/data_annotated/2011_000025.json +++ /dev/null @@ -1,67 +0,0 @@ -{ - "flags": {}, - "shapes": [ - { - "label": "bus", - "line_color": null, - "fill_color": null, - "points": [ - [ - 84, - 20 - ], - [ - 435, - 373 - ] - ], - "shape_type": "rectangle" - }, - { - "label": "bus", - "line_color": null, - "fill_color": null, - "points": [ - [ - 1, - 99 - ], - [ - 107, - 282 - ] - ], - "shape_type": "rectangle" - }, - { - "label": "car", - "line_color": null, - "fill_color": null, - "points": [ - [ - 409, - 167 - ], - [ - 500, - 266 - ] - ], - "shape_type": "rectangle" - } - ], - "lineColor": [ - 0, - 255, - 0, - 128 - ], - "fillColor": [ - 255, - 0, - 0, - 128 - ], - "imagePath": "2011_000025.jpg", - "imageData": null -} \ No newline at end of file diff --git a/DataAnnotation/labelme/examples/bbox_detection/data_dataset_voc/Annotations/2011_000003.xml b/DataAnnotation/labelme/examples/bbox_detection/data_dataset_voc/Annotations/2011_000003.xml deleted file mode 100644 index 2160f7c43c759e1f4f18a01f329bc9310e494e36..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/examples/bbox_detection/data_dataset_voc/Annotations/2011_000003.xml +++ /dev/null @@ -1,37 +0,0 @@ - - - 2011_000003.jpg - - - - - 338 - 500 - 3 - - - - person - - - - - 191 - 107 - 313 - 329 - - - - person - - - - - 365 - 83 - 500 - 333 - - - diff --git a/DataAnnotation/labelme/examples/bbox_detection/data_dataset_voc/Annotations/2011_000006.xml b/DataAnnotation/labelme/examples/bbox_detection/data_dataset_voc/Annotations/2011_000006.xml deleted file mode 100644 index 7cbfdbd2feec4d308dbac49cbb03c69fc01c2ca5..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/examples/bbox_detection/data_dataset_voc/Annotations/2011_000006.xml +++ /dev/null @@ -1,61 +0,0 @@ - - - 2011_000006.jpg - - - - - 375 - 500 - 3 - - - - person - - - - - 91 - 107 - 240 - 330 - - - - person - - - - - 178 - 110 - 298 - 282 - - - - person - - - - - 254 - 115 - 369 - 292 - - - - person - - - - - 395 - 81 - 447 - 117 - - - diff --git a/DataAnnotation/labelme/examples/bbox_detection/data_dataset_voc/Annotations/2011_000025.xml b/DataAnnotation/labelme/examples/bbox_detection/data_dataset_voc/Annotations/2011_000025.xml deleted file mode 100644 index 6369d2e78425807ae98b6216e1f673f2534c5874..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/examples/bbox_detection/data_dataset_voc/Annotations/2011_000025.xml +++ /dev/null @@ -1,49 +0,0 @@ - - - 2011_000025.jpg - - - - - 375 - 500 - 3 - - - - bus - - - - - 84 - 20 - 435 - 373 - - - - bus - - - - - 1 - 99 - 107 - 282 - - - - car - - - - - 409 - 167 - 500 - 266 - - - diff --git a/DataAnnotation/labelme/examples/bbox_detection/data_dataset_voc/AnnotationsVisualization/2011_000003.jpg b/DataAnnotation/labelme/examples/bbox_detection/data_dataset_voc/AnnotationsVisualization/2011_000003.jpg deleted file mode 100644 index ea60e1086130f4af541f625d9dbdb759cbad61a6..0000000000000000000000000000000000000000 Binary files a/DataAnnotation/labelme/examples/bbox_detection/data_dataset_voc/AnnotationsVisualization/2011_000003.jpg and /dev/null differ diff --git a/DataAnnotation/labelme/examples/bbox_detection/data_dataset_voc/AnnotationsVisualization/2011_000006.jpg b/DataAnnotation/labelme/examples/bbox_detection/data_dataset_voc/AnnotationsVisualization/2011_000006.jpg deleted file mode 100644 index 7d3ca12510eb641c20707ff5da8fec90ea998b85..0000000000000000000000000000000000000000 Binary files a/DataAnnotation/labelme/examples/bbox_detection/data_dataset_voc/AnnotationsVisualization/2011_000006.jpg and /dev/null differ diff --git a/DataAnnotation/labelme/examples/bbox_detection/data_dataset_voc/AnnotationsVisualization/2011_000025.jpg b/DataAnnotation/labelme/examples/bbox_detection/data_dataset_voc/AnnotationsVisualization/2011_000025.jpg deleted file mode 100644 index 18e6755462bff8e0c9de82a9f3ad35a8c1fecc7e..0000000000000000000000000000000000000000 Binary files a/DataAnnotation/labelme/examples/bbox_detection/data_dataset_voc/AnnotationsVisualization/2011_000025.jpg and /dev/null differ diff --git a/DataAnnotation/labelme/examples/bbox_detection/data_dataset_voc/JPEGImages/2011_000003.jpg b/DataAnnotation/labelme/examples/bbox_detection/data_dataset_voc/JPEGImages/2011_000003.jpg deleted file mode 100644 index 7d8306fff829eeef248cf77ff705cef2b1d67572..0000000000000000000000000000000000000000 Binary files a/DataAnnotation/labelme/examples/bbox_detection/data_dataset_voc/JPEGImages/2011_000003.jpg and /dev/null differ diff --git a/DataAnnotation/labelme/examples/bbox_detection/data_dataset_voc/JPEGImages/2011_000006.jpg b/DataAnnotation/labelme/examples/bbox_detection/data_dataset_voc/JPEGImages/2011_000006.jpg deleted file mode 100644 index 0f1617fdb5dcb95486ca321151dc2f347964eda1..0000000000000000000000000000000000000000 Binary files a/DataAnnotation/labelme/examples/bbox_detection/data_dataset_voc/JPEGImages/2011_000006.jpg and /dev/null differ diff --git a/DataAnnotation/labelme/examples/bbox_detection/data_dataset_voc/JPEGImages/2011_000025.jpg b/DataAnnotation/labelme/examples/bbox_detection/data_dataset_voc/JPEGImages/2011_000025.jpg deleted file mode 100644 index eeb9cfa56f374ccaf47aa0920bac3303bb4c15bb..0000000000000000000000000000000000000000 Binary files a/DataAnnotation/labelme/examples/bbox_detection/data_dataset_voc/JPEGImages/2011_000025.jpg and /dev/null differ diff --git a/DataAnnotation/labelme/examples/bbox_detection/data_dataset_voc/class_names.txt b/DataAnnotation/labelme/examples/bbox_detection/data_dataset_voc/class_names.txt deleted file mode 100644 index 84cc9ed5433778a9246484aa32060b28e72ca78f..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/examples/bbox_detection/data_dataset_voc/class_names.txt +++ /dev/null @@ -1,21 +0,0 @@ -_background_ -aeroplane -bicycle -bird -boat -bottle -bus -car -cat -chair -cow -diningtable -dog -horse -motorbike -person -potted plant -sheep -sofa -train -tv/monitor \ No newline at end of file diff --git a/DataAnnotation/labelme/examples/bbox_detection/labelme2voc.py b/DataAnnotation/labelme/examples/bbox_detection/labelme2voc.py deleted file mode 100755 index 9688fd1312f1f05c6278f2b73422bc68275ba514..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/examples/bbox_detection/labelme2voc.py +++ /dev/null @@ -1,133 +0,0 @@ -#!/usr/bin/env python - -from __future__ import print_function - -import argparse -import glob -import json -import os -import os.path as osp -import sys - -try: - import lxml.builder - import lxml.etree -except ImportError: - print('Please install lxml:\n\n pip install lxml\n') - sys.exit(1) -import numpy as np -import PIL.Image - -import labelme - - -def main(): - parser = argparse.ArgumentParser( - formatter_class=argparse.ArgumentDefaultsHelpFormatter - ) - parser.add_argument('input_dir', help='input annotated directory') - parser.add_argument('output_dir', help='output dataset directory') - parser.add_argument('--labels', help='labels file', required=True) - args = parser.parse_args() - - if osp.exists(args.output_dir): - print('Output directory already exists:', args.output_dir) - sys.exit(1) - os.makedirs(args.output_dir) - os.makedirs(osp.join(args.output_dir, 'JPEGImages')) - os.makedirs(osp.join(args.output_dir, 'Annotations')) - os.makedirs(osp.join(args.output_dir, 'AnnotationsVisualization')) - print('Creating dataset:', args.output_dir) - - class_names = [] - class_name_to_id = {} - for i, line in enumerate(open(args.labels).readlines()): - class_id = i - 1 # starts with -1 - class_name = line.strip() - class_name_to_id[class_name] = class_id - if class_id == -1: - assert class_name == '__ignore__' - continue - elif class_id == 0: - assert class_name == '_background_' - class_names.append(class_name) - class_names = tuple(class_names) - print('class_names:', class_names) - out_class_names_file = osp.join(args.output_dir, 'class_names.txt') - with open(out_class_names_file, 'w') as f: - f.writelines('\n'.join(class_names)) - print('Saved class_names:', out_class_names_file) - - for label_file in glob.glob(osp.join(args.input_dir, '*.json')): - print('Generating dataset from:', label_file) - with open(label_file) as f: - data = json.load(f) - base = osp.splitext(osp.basename(label_file))[0] - out_img_file = osp.join( - args.output_dir, 'JPEGImages', base + '.jpg') - out_xml_file = osp.join( - args.output_dir, 'Annotations', base + '.xml') - out_viz_file = osp.join( - args.output_dir, 'AnnotationsVisualization', base + '.jpg') - - img_file = osp.join(osp.dirname(label_file), data['imagePath']) - img = np.asarray(PIL.Image.open(img_file)) - PIL.Image.fromarray(img).save(out_img_file) - - maker = lxml.builder.ElementMaker() - xml = maker.annotation( - maker.folder(), - maker.filename(base + '.jpg'), - maker.database(), # e.g., The VOC2007 Database - maker.annotation(), # e.g., Pascal VOC2007 - maker.image(), # e.g., flickr - maker.size( - maker.height(str(img.shape[0])), - maker.width(str(img.shape[1])), - maker.depth(str(img.shape[2])), - ), - maker.segmented(), - ) - - bboxes = [] - labels = [] - for shape in data['shapes']: - if shape['shape_type'] != 'rectangle': - print('Skipping shape: label={label}, shape_type={shape_type}' - .format(**shape)) - continue - - class_name = shape['label'] - class_id = class_names.index(class_name) - - (xmin, ymin), (xmax, ymax) = shape['points'] - bboxes.append([xmin, ymin, xmax, ymax]) - labels.append(class_id) - - xml.append( - maker.object( - maker.name(shape['label']), - maker.pose(), - maker.truncated(), - maker.difficult(), - maker.bndbox( - maker.xmin(str(xmin)), - maker.ymin(str(ymin)), - maker.xmax(str(xmax)), - maker.ymax(str(ymax)), - ), - ) - ) - - captions = [class_names[l] for l in labels] - viz = labelme.utils.draw_instances( - img, bboxes, labels, captions=captions - ) - PIL.Image.fromarray(viz).save(out_viz_file) - - with open(out_xml_file, 'wb') as f: - f.write(lxml.etree.tostring(xml, pretty_print=True)) - - -if __name__ == '__main__': - main() diff --git a/DataAnnotation/labelme/examples/bbox_detection/labels.txt b/DataAnnotation/labelme/examples/bbox_detection/labels.txt deleted file mode 100644 index 40668df3696bcee4844ce941030e133c9f78ddc8..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/examples/bbox_detection/labels.txt +++ /dev/null @@ -1,22 +0,0 @@ -__ignore__ -_background_ -aeroplane -bicycle -bird -boat -bottle -bus -car -cat -chair -cow -diningtable -dog -horse -motorbike -person -potted plant -sheep -sofa -train -tv/monitor \ No newline at end of file diff --git a/DataAnnotation/labelme/examples/classification/.readme/annotation_cat.jpg b/DataAnnotation/labelme/examples/classification/.readme/annotation_cat.jpg deleted file mode 100644 index b804849f066abd2cfc7660a38cfb499c65cb8d81..0000000000000000000000000000000000000000 Binary files a/DataAnnotation/labelme/examples/classification/.readme/annotation_cat.jpg and /dev/null differ diff --git a/DataAnnotation/labelme/examples/classification/.readme/annotation_dog.jpg b/DataAnnotation/labelme/examples/classification/.readme/annotation_dog.jpg deleted file mode 100644 index 983fd7d7759357e8161a6eb148fb3b4a75c5e1d7..0000000000000000000000000000000000000000 Binary files a/DataAnnotation/labelme/examples/classification/.readme/annotation_dog.jpg and /dev/null differ diff --git a/DataAnnotation/labelme/examples/classification/README.md b/DataAnnotation/labelme/examples/classification/README.md deleted file mode 100644 index 30b3d7786adfb345a3702cffbe177d17fbff0604..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/examples/classification/README.md +++ /dev/null @@ -1,11 +0,0 @@ -# Classification Example - - -## Usage - -```bash -labelme data_annotated --flags flags.txt --nodata -``` - - - diff --git a/DataAnnotation/labelme/examples/classification/data_annotated/0001.jpg b/DataAnnotation/labelme/examples/classification/data_annotated/0001.jpg deleted file mode 100644 index 7e791e90d0ed9aa78cfe4f8538e8db3c3cd6598f..0000000000000000000000000000000000000000 Binary files a/DataAnnotation/labelme/examples/classification/data_annotated/0001.jpg and /dev/null differ diff --git a/DataAnnotation/labelme/examples/classification/data_annotated/0001.json b/DataAnnotation/labelme/examples/classification/data_annotated/0001.json deleted file mode 100644 index 04d26ae39afbc356005b4acb15cf49aa27b3df8a..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/examples/classification/data_annotated/0001.json +++ /dev/null @@ -1,22 +0,0 @@ -{ - "flags": { - "__ignore__": false, - "cat": true, - "dog": false - }, - "shapes": [], - "lineColor": [ - 0, - 255, - 0, - 128 - ], - "fillColor": [ - 255, - 0, - 0, - 128 - ], - "imagePath": "0001.jpg", - "imageData": null -} \ No newline at end of file diff --git a/DataAnnotation/labelme/examples/classification/data_annotated/0002.jpg b/DataAnnotation/labelme/examples/classification/data_annotated/0002.jpg deleted file mode 100644 index eb96f3e57345c77aaa1a05b27c186200014e10a2..0000000000000000000000000000000000000000 Binary files a/DataAnnotation/labelme/examples/classification/data_annotated/0002.jpg and /dev/null differ diff --git a/DataAnnotation/labelme/examples/classification/data_annotated/0002.json b/DataAnnotation/labelme/examples/classification/data_annotated/0002.json deleted file mode 100644 index 4acef600a99f19dbdefa6b9840d923de7a29d435..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/examples/classification/data_annotated/0002.json +++ /dev/null @@ -1,22 +0,0 @@ -{ - "flags": { - "__ignore__": false, - "cat": false, - "dog": true - }, - "shapes": [], - "lineColor": [ - 0, - 255, - 0, - 128 - ], - "fillColor": [ - 255, - 0, - 0, - 128 - ], - "imagePath": "0002.jpg", - "imageData": null -} \ No newline at end of file diff --git a/DataAnnotation/labelme/examples/classification/flags.txt b/DataAnnotation/labelme/examples/classification/flags.txt deleted file mode 100644 index a80af6dcc6442b4ce56a5aaa7c6c3fa23fef506d..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/examples/classification/flags.txt +++ /dev/null @@ -1,3 +0,0 @@ -__ignore__ -cat -dog diff --git a/DataAnnotation/labelme/examples/instance_segmentation/.readme/annotation.jpg b/DataAnnotation/labelme/examples/instance_segmentation/.readme/annotation.jpg deleted file mode 100644 index fbebf549c454886790f20ced05f2a12ab58b50e0..0000000000000000000000000000000000000000 Binary files a/DataAnnotation/labelme/examples/instance_segmentation/.readme/annotation.jpg and /dev/null differ diff --git a/DataAnnotation/labelme/examples/instance_segmentation/.readme/draw_label_png_class.jpg b/DataAnnotation/labelme/examples/instance_segmentation/.readme/draw_label_png_class.jpg deleted file mode 100644 index 3ff1b64daf54e7b59b1453eea0b4604f4fada77d..0000000000000000000000000000000000000000 Binary files a/DataAnnotation/labelme/examples/instance_segmentation/.readme/draw_label_png_class.jpg and /dev/null differ diff --git a/DataAnnotation/labelme/examples/instance_segmentation/.readme/draw_label_png_object.jpg b/DataAnnotation/labelme/examples/instance_segmentation/.readme/draw_label_png_object.jpg deleted file mode 100644 index b6228d8a339ba0ebca4ced6f0cab6107de4843f1..0000000000000000000000000000000000000000 Binary files a/DataAnnotation/labelme/examples/instance_segmentation/.readme/draw_label_png_object.jpg and /dev/null differ diff --git a/DataAnnotation/labelme/examples/instance_segmentation/README.md b/DataAnnotation/labelme/examples/instance_segmentation/README.md deleted file mode 100644 index 4803fb0441832a02323f426ecf43b54d9ce381ec..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/examples/instance_segmentation/README.md +++ /dev/null @@ -1,47 +0,0 @@ -# Instance Segmentation Example - -## Annotation - -```bash -labelme data_annotated --labels labels.txt --nodata -labelme data_annotated --labels labels.txt --nodata --labelflags '{.*: [occluded, truncated], person-\d+: [male]}' -``` - -![](.readme/annotation.jpg) - -## Convert to VOC-format Dataset - -```bash -# It generates: -# - data_dataset_voc/JPEGImages -# - data_dataset_voc/SegmentationClass -# - data_dataset_voc/SegmentationClassVisualization -# - data_dataset_voc/SegmentationObject -# - data_dataset_voc/SegmentationObjectVisualization -./labelme2voc.py data_annotated data_dataset_voc --labels labels.txt -``` - - -Fig 1. JPEG image (left), JPEG class label visualization (center), JPEG instance label visualization (right) - - -Note that the label file contains only very low label values (ex. `0, 4, 14`), and -`255` indicates the `__ignore__` label value (`-1` in the npy file). -You can see the label PNG file by following. - -```bash -labelme_draw_label_png data_dataset_voc/SegmentationClassPNG/2011_000003.png # left -labelme_draw_label_png data_dataset_voc/SegmentationObjectPNG/2011_000003.png # right -``` - - - - -## Convert to COCO-format Dataset - -```bash -# It generates: -# - data_dataset_coco/JPEGImages -# - data_dataset_coco/annotations.json -./labelme2coco.py data_annotated data_dataset_coco --labels labels.txt -``` diff --git a/DataAnnotation/labelme/examples/instance_segmentation/data_annotated/2011_000003.jpg b/DataAnnotation/labelme/examples/instance_segmentation/data_annotated/2011_000003.jpg deleted file mode 100755 index b3bea66c5f9619bf62885cb6afd9c22a54b9d23d..0000000000000000000000000000000000000000 Binary files a/DataAnnotation/labelme/examples/instance_segmentation/data_annotated/2011_000003.jpg and /dev/null differ diff --git a/DataAnnotation/labelme/examples/instance_segmentation/data_annotated/2011_000003.json b/DataAnnotation/labelme/examples/instance_segmentation/data_annotated/2011_000003.json deleted file mode 100644 index e562dd97a7c6dead609b9bf12d2f921825c29549..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/examples/instance_segmentation/data_annotated/2011_000003.json +++ /dev/null @@ -1,513 +0,0 @@ -{ - "version": "3.14.2", - "flags": {}, - "shapes": [ - { - "label": "person-1", - "line_color": null, - "fill_color": null, - "points": [ - [ - 250.984126984127, - 106.92063492063491 - ], - [ - 229.984126984127, - 118.92063492063491 - ], - [ - 221.984126984127, - 134.9206349206349 - ], - [ - 223.984126984127, - 147.9206349206349 - ], - [ - 217.984126984127, - 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1eab526a3ddf74b0710104ebd22866592a784cf7..0000000000000000000000000000000000000000 Binary files a/DataAnnotation/labelme/examples/instance_segmentation/data_dataset_voc/SegmentationObjectVisualization/2011_000006.jpg and /dev/null differ diff --git a/DataAnnotation/labelme/examples/instance_segmentation/data_dataset_voc/SegmentationObjectVisualization/2011_000025.jpg b/DataAnnotation/labelme/examples/instance_segmentation/data_dataset_voc/SegmentationObjectVisualization/2011_000025.jpg deleted file mode 100644 index e2cb6d246983eabc4cc48ddb766d6d502e334c9c..0000000000000000000000000000000000000000 Binary files a/DataAnnotation/labelme/examples/instance_segmentation/data_dataset_voc/SegmentationObjectVisualization/2011_000025.jpg and /dev/null differ diff --git a/DataAnnotation/labelme/examples/instance_segmentation/data_dataset_voc/class_names.txt b/DataAnnotation/labelme/examples/instance_segmentation/data_dataset_voc/class_names.txt deleted file mode 100644 index 84cc9ed5433778a9246484aa32060b28e72ca78f..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/examples/instance_segmentation/data_dataset_voc/class_names.txt +++ /dev/null @@ -1,21 +0,0 @@ -_background_ -aeroplane -bicycle -bird -boat -bottle -bus -car -cat -chair -cow -diningtable -dog -horse -motorbike -person -potted plant -sheep -sofa -train -tv/monitor \ No newline at end of file diff --git a/DataAnnotation/labelme/examples/instance_segmentation/labelme2coco.py b/DataAnnotation/labelme/examples/instance_segmentation/labelme2coco.py deleted file mode 100755 index 43e86fb212a6716e69e3f89655c7ef8690e0b942..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/examples/instance_segmentation/labelme2coco.py +++ /dev/null @@ -1,153 +0,0 @@ -#!/usr/bin/env python - -import argparse -import collections -import datetime -import glob -import json -import os -import os.path as osp -import sys - -import numpy as np -import PIL.Image - -import labelme - -try: - import pycocotools.mask -except ImportError: - print('Please install pycocotools:\n\n pip install pycocotools\n') - sys.exit(1) - - -def main(): - parser = argparse.ArgumentParser( - formatter_class=argparse.ArgumentDefaultsHelpFormatter - ) - parser.add_argument('input_dir', help='input annotated directory') - parser.add_argument('output_dir', help='output dataset directory') - parser.add_argument('--labels', help='labels file', required=True) - args = parser.parse_args() - - if osp.exists(args.output_dir): - print('Output directory already exists:', args.output_dir) - sys.exit(1) - os.makedirs(args.output_dir) - os.makedirs(osp.join(args.output_dir, 'JPEGImages')) - print('Creating dataset:', args.output_dir) - - now = datetime.datetime.now() - - data = dict( - info=dict( - description=None, - url=None, - version=None, - year=now.year, - contributor=None, - date_created=now.strftime('%Y-%m-%d %H:%M:%S.%f'), - ), - licenses=[dict( - url=None, - id=0, - name=None, - )], - images=[ - # license, url, file_name, height, width, date_captured, id - ], - type='instances', - annotations=[ - # segmentation, area, iscrowd, image_id, bbox, category_id, id - ], - categories=[ - # supercategory, id, name - ], - ) - - class_name_to_id = {} - for i, line in enumerate(open(args.labels).readlines()): - class_id = i - 1 # starts with -1 - class_name = line.strip() - if class_id == -1: - assert class_name == '__ignore__' - continue - class_name_to_id[class_name] = class_id - data['categories'].append(dict( - supercategory=None, - id=class_id, - name=class_name, - )) - - out_ann_file = osp.join(args.output_dir, 'annotations.json') - label_files = glob.glob(osp.join(args.input_dir, '*.json')) - for image_id, label_file in enumerate(label_files): - print('Generating dataset from:', label_file) - with open(label_file) as f: - label_data = json.load(f) - - base = osp.splitext(osp.basename(label_file))[0] - out_img_file = osp.join( - args.output_dir, 'JPEGImages', base + '.jpg' - ) - - img_file = osp.join( - osp.dirname(label_file), label_data['imagePath'] - ) - img = np.asarray(PIL.Image.open(img_file)) - PIL.Image.fromarray(img).save(out_img_file) - data['images'].append(dict( - license=0, - url=None, - file_name=osp.relpath(out_img_file, osp.dirname(out_ann_file)), - height=img.shape[0], - width=img.shape[1], - date_captured=None, - id=image_id, - )) - - masks = {} # for area - segmentations = collections.defaultdict(list) # for segmentation - for shape in label_data['shapes']: - points = shape['points'] - label = shape['label'] - shape_type = shape.get('shape_type', None) - mask = labelme.utils.shape_to_mask( - img.shape[:2], points, shape_type - ) - - if label in masks: - masks[label] = masks[label] | mask - else: - masks[label] = mask - - points = np.asarray(points).flatten().tolist() - segmentations[label].append(points) - - for label, mask in masks.items(): - cls_name = label.split('-')[0] - if cls_name not in class_name_to_id: - continue - cls_id = class_name_to_id[cls_name] - - mask = np.asfortranarray(mask.astype(np.uint8)) - mask = pycocotools.mask.encode(mask) - area = float(pycocotools.mask.area(mask)) - bbox = pycocotools.mask.toBbox(mask).flatten().tolist() - - data['annotations'].append(dict( - id=len(data['annotations']), - image_id=image_id, - category_id=cls_id, - segmentation=segmentations[label], - area=area, - bbox=bbox, - iscrowd=0, - )) - - with open(out_ann_file, 'w') as f: - json.dump(data, f) - - -if __name__ == '__main__': - main() diff --git a/DataAnnotation/labelme/examples/instance_segmentation/labelme2voc.py b/DataAnnotation/labelme/examples/instance_segmentation/labelme2voc.py deleted file mode 100755 index 366233bf0f760ca286924eda6d17042df57d3250..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/examples/instance_segmentation/labelme2voc.py +++ /dev/null @@ -1,117 +0,0 @@ -#!/usr/bin/env python - -from __future__ import print_function - -import argparse -import glob -import json -import os -import os.path as osp -import sys - -import numpy as np -import PIL.Image - -import labelme - - -def main(): - parser = argparse.ArgumentParser( - formatter_class=argparse.ArgumentDefaultsHelpFormatter - ) - parser.add_argument('input_dir', help='input annotated directory') - parser.add_argument('output_dir', help='output dataset directory') - parser.add_argument('--labels', help='labels file', required=True) - args = parser.parse_args() - - if osp.exists(args.output_dir): - print('Output directory already exists:', args.output_dir) - sys.exit(1) - os.makedirs(args.output_dir) - os.makedirs(osp.join(args.output_dir, 'JPEGImages')) - os.makedirs(osp.join(args.output_dir, 'SegmentationClass')) - os.makedirs(osp.join(args.output_dir, 'SegmentationClassPNG')) - os.makedirs(osp.join(args.output_dir, 'SegmentationClassVisualization')) - os.makedirs(osp.join(args.output_dir, 'SegmentationObject')) - os.makedirs(osp.join(args.output_dir, 'SegmentationObjectPNG')) - os.makedirs(osp.join(args.output_dir, 'SegmentationObjectVisualization')) - print('Creating dataset:', args.output_dir) - - class_names = [] - class_name_to_id = {} - for i, line in enumerate(open(args.labels).readlines()): - class_id = i - 1 # starts with -1 - class_name = line.strip() - class_name_to_id[class_name] = class_id - if class_id == -1: - assert class_name == '__ignore__' - continue - elif class_id == 0: - assert class_name == '_background_' - class_names.append(class_name) - class_names = tuple(class_names) - print('class_names:', class_names) - out_class_names_file = osp.join(args.output_dir, 'class_names.txt') - with open(out_class_names_file, 'w') as f: - f.writelines('\n'.join(class_names)) - print('Saved class_names:', out_class_names_file) - - colormap = labelme.utils.label_colormap(255) - - for label_file in glob.glob(osp.join(args.input_dir, '*.json')): - print('Generating dataset from:', label_file) - with open(label_file) as f: - base = osp.splitext(osp.basename(label_file))[0] - out_img_file = osp.join( - args.output_dir, 'JPEGImages', base + '.jpg') - out_cls_file = osp.join( - args.output_dir, 'SegmentationClass', base + '.npy') - out_clsp_file = osp.join( - args.output_dir, 'SegmentationClassPNG', base + '.png') - out_clsv_file = osp.join( - args.output_dir, - 'SegmentationClassVisualization', - base + '.jpg', - ) - out_ins_file = osp.join( - args.output_dir, 'SegmentationObject', base + '.npy') - out_insp_file = osp.join( - args.output_dir, 'SegmentationObjectPNG', base + '.png') - out_insv_file = osp.join( - args.output_dir, - 'SegmentationObjectVisualization', - base + '.jpg', - ) - - data = json.load(f) - - img_file = osp.join(osp.dirname(label_file), data['imagePath']) - img = np.asarray(PIL.Image.open(img_file)) - PIL.Image.fromarray(img).save(out_img_file) - - cls, ins = labelme.utils.shapes_to_label( - img_shape=img.shape, - shapes=data['shapes'], - label_name_to_value=class_name_to_id, - type='instance', - ) - ins[cls == -1] = 0 # ignore it. - - # class label - labelme.utils.lblsave(out_clsp_file, cls) - np.save(out_cls_file, cls) - clsv = labelme.utils.draw_label( - cls, img, class_names, colormap=colormap) - PIL.Image.fromarray(clsv).save(out_clsv_file) - - # instance label - labelme.utils.lblsave(out_insp_file, ins) - np.save(out_ins_file, ins) - instance_ids = np.unique(ins) - instance_names = [str(i) for i in range(max(instance_ids) + 1)] - insv = labelme.utils.draw_label(ins, img, instance_names) - PIL.Image.fromarray(insv).save(out_insv_file) - - -if __name__ == '__main__': - main() diff --git a/DataAnnotation/labelme/examples/instance_segmentation/labels.txt b/DataAnnotation/labelme/examples/instance_segmentation/labels.txt deleted file mode 100644 index 40668df3696bcee4844ce941030e133c9f78ddc8..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/examples/instance_segmentation/labels.txt +++ /dev/null @@ -1,22 +0,0 @@ -__ignore__ -_background_ -aeroplane -bicycle -bird -boat -bottle -bus -car -cat -chair -cow -diningtable -dog -horse -motorbike -person -potted plant -sheep -sofa -train -tv/monitor \ No newline at end of file diff --git a/DataAnnotation/labelme/examples/primitives/primitives.jpg b/DataAnnotation/labelme/examples/primitives/primitives.jpg deleted file mode 100644 index 9ed704a6f041ab81c5a646934b88af3bea17da9e..0000000000000000000000000000000000000000 Binary files a/DataAnnotation/labelme/examples/primitives/primitives.jpg and /dev/null differ diff --git a/DataAnnotation/labelme/examples/primitives/primitives.json b/DataAnnotation/labelme/examples/primitives/primitives.json deleted file mode 100644 index 76bdd4ead5c62781f1b1f2cde1117b0726c8f3e2..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/examples/primitives/primitives.json +++ /dev/null @@ -1,140 +0,0 @@ -{ - "version": "3.5.0", - "flags": {}, - "shapes": [ - { - "label": "rectangle", - "line_color": null, - "fill_color": null, - "points": [ - [ - 32, - 35 - ], - [ - 132, - 135 - ] - ], - "shape_type": "rectangle" - }, - { - "label": "circle", - "line_color": null, - "fill_color": null, - "points": [ - [ - 195, - 84 - ], - [ - 225, - 125 - ] - ], - "shape_type": "circle" - }, - { - "label": "rectangle", - "line_color": null, - "fill_color": null, - "points": [ - [ - 391, - 33 - ], - [ - 542, - 135 - ] - ], - "shape_type": "rectangle" - }, - { - "label": "polygon", - "line_color": null, - "fill_color": null, - "points": [ - [ - 69, - 318 - ], - [ - 45, - 403 - ], - [ - 173, - 406 - ], - [ - 198, - 321 - ] - ], - "shape_type": "polygon" - }, - { - "label": "line", - "line_color": null, - "fill_color": null, - "points": [ - [ - 188, - 178 - ], - [ - 160, - 224 - ] - ], - "shape_type": "line" - }, - { - "label": "point", - "line_color": null, - "fill_color": null, - "points": [ - [ - 345, - 174 - ] - ], - "shape_type": "point" - }, - { - "label": "line_strip", - "line_color": null, - "fill_color": null, - "points": [ - [ - 441, - 181 - ], - [ - 403, - 274 - ], - [ - 545, - 275 - ] - ], - "shape_type": "linestrip" - } - ], - "lineColor": [ - 0, - 255, - 0, - 128 - ], - "fillColor": [ - 255, - 0, - 0, - 128 - ], - "imagePath": "primitives.jpg", - "imageData": null -} \ No newline at end of file diff --git a/DataAnnotation/labelme/examples/semantic_segmentation/.readme/annotation.jpg b/DataAnnotation/labelme/examples/semantic_segmentation/.readme/annotation.jpg deleted file mode 100644 index b0932079c96581c430407ac40a271e095f692092..0000000000000000000000000000000000000000 Binary files a/DataAnnotation/labelme/examples/semantic_segmentation/.readme/annotation.jpg and /dev/null differ diff --git a/DataAnnotation/labelme/examples/semantic_segmentation/.readme/draw_label_png.jpg b/DataAnnotation/labelme/examples/semantic_segmentation/.readme/draw_label_png.jpg deleted file mode 100644 index 3ff1b64daf54e7b59b1453eea0b4604f4fada77d..0000000000000000000000000000000000000000 Binary files a/DataAnnotation/labelme/examples/semantic_segmentation/.readme/draw_label_png.jpg and /dev/null differ diff --git a/DataAnnotation/labelme/examples/semantic_segmentation/README.md b/DataAnnotation/labelme/examples/semantic_segmentation/README.md deleted file mode 100644 index a119af1509712e875521a6e5650f4ab294525f95..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/examples/semantic_segmentation/README.md +++ /dev/null @@ -1,35 +0,0 @@ -# Semantic Segmentation Example - -## Annotation - -```bash -labelme data_annotated --labels labels.txt --nodata -``` - -![](.readme/annotation.jpg) - - -## Convert to VOC-format Dataset - -```bash -# It generates: -# - data_dataset_voc/JPEGImages -# - data_dataset_voc/SegmentationClass -# - data_dataset_voc/SegmentationClassVisualization -./labelme2voc.py data_annotated data_dataset_voc --labels labels.txt -``` - - - -Fig 1. JPEG image (left), PNG label (center), JPEG label visualization (right) - - -Note that the label file contains only very low label values (ex. `0, 4, 14`), and -`255` indicates the `__ignore__` label value (`-1` in the npy file). -You can see the label PNG file by following. - -```bash -labelme_draw_label_png data_dataset_voc/SegmentationClassPNG/2011_000003.png -``` - - diff --git a/DataAnnotation/labelme/examples/semantic_segmentation/data_annotated/2011_000003.jpg b/DataAnnotation/labelme/examples/semantic_segmentation/data_annotated/2011_000003.jpg deleted file mode 100755 index b3bea66c5f9619bf62885cb6afd9c22a54b9d23d..0000000000000000000000000000000000000000 Binary files a/DataAnnotation/labelme/examples/semantic_segmentation/data_annotated/2011_000003.jpg and /dev/null differ diff --git a/DataAnnotation/labelme/examples/semantic_segmentation/data_annotated/2011_000003.json b/DataAnnotation/labelme/examples/semantic_segmentation/data_annotated/2011_000003.json deleted file mode 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a/DataAnnotation/labelme/examples/semantic_segmentation/data_dataset_voc/SegmentationClassVisualization/2011_000006.jpg and /dev/null differ diff --git a/DataAnnotation/labelme/examples/semantic_segmentation/data_dataset_voc/SegmentationClassVisualization/2011_000025.jpg b/DataAnnotation/labelme/examples/semantic_segmentation/data_dataset_voc/SegmentationClassVisualization/2011_000025.jpg deleted file mode 100644 index ddae9a7c1662444fa9dd96207e59c36f8622f5de..0000000000000000000000000000000000000000 Binary files a/DataAnnotation/labelme/examples/semantic_segmentation/data_dataset_voc/SegmentationClassVisualization/2011_000025.jpg and /dev/null differ diff --git a/DataAnnotation/labelme/examples/semantic_segmentation/data_dataset_voc/class_names.txt b/DataAnnotation/labelme/examples/semantic_segmentation/data_dataset_voc/class_names.txt deleted file mode 100644 index 84cc9ed5433778a9246484aa32060b28e72ca78f..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/examples/semantic_segmentation/data_dataset_voc/class_names.txt +++ /dev/null @@ -1,21 +0,0 @@ -_background_ -aeroplane -bicycle -bird -boat -bottle -bus -car -cat -chair -cow -diningtable -dog -horse -motorbike -person -potted plant -sheep -sofa -train -tv/monitor \ No newline at end of file diff --git a/DataAnnotation/labelme/examples/semantic_segmentation/labelme2voc.py b/DataAnnotation/labelme/examples/semantic_segmentation/labelme2voc.py deleted file mode 100755 index 7695de9054e985932562a6709ce23e66e7f09e80..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/examples/semantic_segmentation/labelme2voc.py +++ /dev/null @@ -1,95 +0,0 @@ -#!/usr/bin/env python - -from __future__ import print_function - -import argparse -import glob -import json -import os -import os.path as osp -import sys - -import numpy as np -import PIL.Image - -import labelme - - -def main(): - parser = argparse.ArgumentParser( - formatter_class=argparse.ArgumentDefaultsHelpFormatter - ) - parser.add_argument('input_dir', help='input annotated directory') - parser.add_argument('output_dir', help='output dataset directory') - parser.add_argument('--labels', help='labels file', required=True) - args = parser.parse_args() - - if osp.exists(args.output_dir): - print('Output directory already exists:', args.output_dir) - sys.exit(1) - os.makedirs(args.output_dir) - os.makedirs(osp.join(args.output_dir, 'JPEGImages')) - os.makedirs(osp.join(args.output_dir, 'SegmentationClass')) - os.makedirs(osp.join(args.output_dir, 'SegmentationClassPNG')) - os.makedirs(osp.join(args.output_dir, 'SegmentationClassVisualization')) - print('Creating dataset:', args.output_dir) - - class_names = [] - class_name_to_id = {} - for i, line in enumerate(open(args.labels).readlines()): - class_id = i - 1 # starts with -1 - class_name = line.strip() - class_name_to_id[class_name] = class_id - if class_id == -1: - assert class_name == '__ignore__' - continue - elif class_id == 0: - assert class_name == '_background_' - class_names.append(class_name) - class_names = tuple(class_names) - print('class_names:', class_names) - out_class_names_file = osp.join(args.output_dir, 'class_names.txt') - with open(out_class_names_file, 'w') as f: - f.writelines('\n'.join(class_names)) - print('Saved class_names:', out_class_names_file) - - colormap = labelme.utils.label_colormap(255) - - for label_file in glob.glob(osp.join(args.input_dir, '*.json')): - print('Generating dataset from:', label_file) - with open(label_file) as f: - base = osp.splitext(osp.basename(label_file))[0] - out_img_file = osp.join( - args.output_dir, 'JPEGImages', base + '.jpg') - out_lbl_file = osp.join( - args.output_dir, 'SegmentationClass', base + '.npy') - out_png_file = osp.join( - args.output_dir, 'SegmentationClassPNG', base + '.png') - out_viz_file = osp.join( - args.output_dir, - 'SegmentationClassVisualization', - base + '.jpg', - ) - - data = json.load(f) - - img_file = osp.join(osp.dirname(label_file), data['imagePath']) - img = np.asarray(PIL.Image.open(img_file)) - PIL.Image.fromarray(img).save(out_img_file) - - lbl = labelme.utils.shapes_to_label( - img_shape=img.shape, - shapes=data['shapes'], - label_name_to_value=class_name_to_id, - ) - labelme.utils.lblsave(out_png_file, lbl) - - np.save(out_lbl_file, lbl) - - viz = labelme.utils.draw_label( - lbl, img, class_names, colormap=colormap) - PIL.Image.fromarray(viz).save(out_viz_file) - - -if __name__ == '__main__': - main() diff --git a/DataAnnotation/labelme/examples/semantic_segmentation/labels.txt b/DataAnnotation/labelme/examples/semantic_segmentation/labels.txt deleted file mode 100644 index 40668df3696bcee4844ce941030e133c9f78ddc8..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/examples/semantic_segmentation/labels.txt +++ /dev/null @@ -1,22 +0,0 @@ -__ignore__ -_background_ -aeroplane -bicycle -bird -boat -bottle -bus -car -cat -chair -cow -diningtable -dog -horse -motorbike -person -potted plant -sheep -sofa -train -tv/monitor \ No newline at end of file diff --git a/DataAnnotation/labelme/examples/tutorial/.readme/annotation.jpg b/DataAnnotation/labelme/examples/tutorial/.readme/annotation.jpg deleted file mode 100644 index e365a5226a19a1149a65cee2146defa7c7b62a87..0000000000000000000000000000000000000000 Binary files a/DataAnnotation/labelme/examples/tutorial/.readme/annotation.jpg and /dev/null differ diff --git a/DataAnnotation/labelme/examples/tutorial/.readme/draw_json.jpg b/DataAnnotation/labelme/examples/tutorial/.readme/draw_json.jpg deleted file mode 100644 index 9f135a440dad4f03a57e025b61399ab1869a0023..0000000000000000000000000000000000000000 Binary files a/DataAnnotation/labelme/examples/tutorial/.readme/draw_json.jpg and /dev/null differ diff --git a/DataAnnotation/labelme/examples/tutorial/.readme/draw_label_png.jpg b/DataAnnotation/labelme/examples/tutorial/.readme/draw_label_png.jpg deleted file mode 100644 index 182dfd34d54cc80931ddbc28d8dbbea0c9a9295e..0000000000000000000000000000000000000000 Binary files a/DataAnnotation/labelme/examples/tutorial/.readme/draw_label_png.jpg and /dev/null differ diff --git a/DataAnnotation/labelme/examples/tutorial/README.md b/DataAnnotation/labelme/examples/tutorial/README.md deleted file mode 100644 index 7ca53996c1082f61af87b427d7bfeb5fbe34b1ce..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/examples/tutorial/README.md +++ /dev/null @@ -1,66 +0,0 @@ -# Tutorial (Single Image Example) - -## Annotation - -```bash -labelme apc2016_obj3.jpg -O apc2016_obj3.json -``` - -![](.readme/annotation.jpg) - - -## Visualization - -To view the json file quickly, you can use utility script: - -```bash -labelme_draw_json apc2016_obj3.json -``` - - - - -## Convert to Dataset - -To convert the json to set of image and label, you can run following: - - -```bash -labelme_json_to_dataset apc2016_obj3.json -o apc2016_obj3_json -``` - -It generates standard files from the JSON file. - -- [img.png](apc2016_obj3_json/img.png): Image file. -- [label.png](apc2016_obj3_json/label.png): uint8 label file. -- [label_viz.png](apc2016_obj3_json/label_viz.png): Visualization of `label.png`. -- [label_names.txt](apc2016_obj3_json/label_names.txt): Label names for values in `label.png`. - -## How to load label PNG file? - -Note that loading `label.png` is a bit difficult -(`scipy.misc.imread`, `skimage.io.imread` may not work correctly), -and please use `PIL.Image.open` to avoid unexpected behavior: - -```python -# see load_label_png.py also. ->>> import numpy as np ->>> import PIL.Image - ->>> label_png = 'apc2016_obj3_json/label.png' ->>> lbl = np.asarray(PIL.Image.open(label_png)) ->>> print(lbl.dtype) -dtype('uint8') ->>> np.unique(lbl) -array([0, 1, 2, 3], dtype=uint8) ->>> lbl.shape -(907, 1210) -``` - -Also, you can see the label PNG file by: - -```python -labelme_draw_label_png apc2016_obj3_json/label.png -``` - - diff --git a/DataAnnotation/labelme/examples/tutorial/apc2016_obj3.jpg b/DataAnnotation/labelme/examples/tutorial/apc2016_obj3.jpg deleted file mode 100644 index dd9490a6550d48bf0be443de9e5bd5ffc1187dff..0000000000000000000000000000000000000000 Binary files a/DataAnnotation/labelme/examples/tutorial/apc2016_obj3.jpg and /dev/null differ diff --git a/DataAnnotation/labelme/examples/tutorial/apc2016_obj3.json b/DataAnnotation/labelme/examples/tutorial/apc2016_obj3.json deleted file mode 100644 index 635016295da065b5d7ee1a83e8afda9b5d00e133..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/examples/tutorial/apc2016_obj3.json +++ /dev/null @@ -1,250 +0,0 @@ -{ - "shapes": [ - { - "label": "shelf", - "line_color": null, - "fill_color": null, - "points": [ - [ - 7.942307692307736, - 79.82692307692312 - ], - [ - 171.94230769230774, - 713.8269230769231 - ], - [ - 968.9423076923077, - 732.8269230769231 - ], - [ - 1181.9423076923076, - 109.82692307692312 - ] - ] - }, - { - "label": "highland_6539_self_stick_notes", - "line_color": null, - "fill_color": null, - "points": [ - [ - 430.16339869281046, - 516.2450980392157 - ], - [ - 390.9477124183006, - 606.4411764705883 - ], - [ - 398.7908496732026, - 697.2908496732026 - ], - [ - 522.3202614379085, - 711.6699346405229 - ], - [ - 762.18954248366, - 721.4738562091503 - ], - [ - 777.2222222222222, - 634.5457516339869 - ], - [ - 761.5359477124183, - 537.8137254901961 - ], - [ - 634.0849673202614, - 518.8594771241831 - ], - [ - 573.3006535947712, - 512.9771241830066 - ], - [ - 534.0849673202614, - 513.6307189542484 - ] - ] - }, - { - "label": "mead_index_cards", - "line_color": null, - "fill_color": null, - "points": [ - [ - 447.156862745098, - 394.6764705882353 - ], - [ - 410.55555555555554, - 480.95098039215685 - ], - [ - 415.1307189542483, - 522.781045751634 - ], - [ - 422.9738562091503, - 522.781045751634 - ], - [ - 427.5490196078431, - 515.5915032679738 - ], - [ - 570.032679738562, - 512.3235294117648 - ], - [ - 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-} \ No newline at end of file diff --git a/DataAnnotation/labelme/examples/tutorial/apc2016_obj3_json/img.png b/DataAnnotation/labelme/examples/tutorial/apc2016_obj3_json/img.png deleted file mode 100644 index d3d5fedd5979def5e6ba8ef1c550f2ed77ee636e..0000000000000000000000000000000000000000 Binary files a/DataAnnotation/labelme/examples/tutorial/apc2016_obj3_json/img.png and /dev/null differ diff --git a/DataAnnotation/labelme/examples/tutorial/apc2016_obj3_json/info.yaml b/DataAnnotation/labelme/examples/tutorial/apc2016_obj3_json/info.yaml deleted file mode 100644 index 0ffcd0f98f6575f9a72f5a16db93285831b9258a..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/examples/tutorial/apc2016_obj3_json/info.yaml +++ /dev/null @@ -1,6 +0,0 @@ -label_names: -- _background_ -- shelf -- highland_6539_self_stick_notes -- mead_index_cards -- kong_air_dog_squeakair_tennis_ball diff --git a/DataAnnotation/labelme/examples/tutorial/apc2016_obj3_json/label.png b/DataAnnotation/labelme/examples/tutorial/apc2016_obj3_json/label.png deleted file mode 100644 index a3dea0e19c419d5124c0395b3aafab0c64fcf657..0000000000000000000000000000000000000000 Binary files a/DataAnnotation/labelme/examples/tutorial/apc2016_obj3_json/label.png and /dev/null differ diff --git a/DataAnnotation/labelme/examples/tutorial/apc2016_obj3_json/label_names.txt b/DataAnnotation/labelme/examples/tutorial/apc2016_obj3_json/label_names.txt deleted file mode 100644 index 38d5d082ee7d231bf85f8e36c00e3140a8002e13..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/examples/tutorial/apc2016_obj3_json/label_names.txt +++ /dev/null @@ -1,5 +0,0 @@ -_background_ -shelf -highland_6539_self_stick_notes -mead_index_cards -kong_air_dog_squeakair_tennis_ball diff --git a/DataAnnotation/labelme/examples/tutorial/apc2016_obj3_json/label_viz.png b/DataAnnotation/labelme/examples/tutorial/apc2016_obj3_json/label_viz.png deleted file mode 100644 index fdcb43aa91e01b1bf4c8900967b260cefda90806..0000000000000000000000000000000000000000 Binary files a/DataAnnotation/labelme/examples/tutorial/apc2016_obj3_json/label_viz.png and /dev/null differ diff --git a/DataAnnotation/labelme/examples/tutorial/load_label_png.py b/DataAnnotation/labelme/examples/tutorial/load_label_png.py deleted file mode 100644 index 82d8c78c4c3b20c604de172408d396ba219abad7..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/examples/tutorial/load_label_png.py +++ /dev/null @@ -1,37 +0,0 @@ -#!/usr/bin/env python - -from __future__ import print_function - -import os.path as osp - -import numpy as np -import PIL.Image - - -here = osp.dirname(osp.abspath(__file__)) - - -def main(): - label_png = osp.join(here, 'apc2016_obj3_json/label.png') - print('Loading:', label_png) - print() - - lbl = np.asarray(PIL.Image.open(label_png)) - labels = np.unique(lbl) - - label_names_txt = osp.join(here, 'apc2016_obj3_json/label_names.txt') - label_names = [name.strip() for name in open(label_names_txt)] - print('# of labels:', len(labels)) - print('# of label_names:', len(label_names)) - if len(labels) != len(label_names): - print('Number of unique labels and label_names must be same.') - quit(1) - print() - - print('label: label_name') - for label, label_name in zip(labels, label_names): - print('%d: %s' % (label, label_name)) - - -if __name__ == '__main__': - main() diff --git a/DataAnnotation/labelme/examples/video_annotation/.readme/00000100.jpg b/DataAnnotation/labelme/examples/video_annotation/.readme/00000100.jpg deleted file mode 100644 index 5e210fc2749fbc5b956a14de38f5134609c2e079..0000000000000000000000000000000000000000 Binary files a/DataAnnotation/labelme/examples/video_annotation/.readme/00000100.jpg and /dev/null differ diff --git a/DataAnnotation/labelme/examples/video_annotation/.readme/00000101.jpg b/DataAnnotation/labelme/examples/video_annotation/.readme/00000101.jpg deleted file mode 100644 index fa3e8a4109fdbb73b83f706a9eeb0393059cd007..0000000000000000000000000000000000000000 Binary files a/DataAnnotation/labelme/examples/video_annotation/.readme/00000101.jpg and /dev/null differ diff --git a/DataAnnotation/labelme/examples/video_annotation/.readme/data_annotated.gif b/DataAnnotation/labelme/examples/video_annotation/.readme/data_annotated.gif deleted file mode 100644 index bf2709168807c7bedbd1cddd89e245f162493466..0000000000000000000000000000000000000000 Binary files a/DataAnnotation/labelme/examples/video_annotation/.readme/data_annotated.gif and /dev/null differ diff --git a/DataAnnotation/labelme/examples/video_annotation/README.md b/DataAnnotation/labelme/examples/video_annotation/README.md deleted file mode 100644 index de1947128b69ac6b5dba72a8e27aa302ca5aae70..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/examples/video_annotation/README.md +++ /dev/null @@ -1,31 +0,0 @@ -# Video Annotation Example - - -## Annotation - -```bash -labelme data_annotated --labels labels.txt --nodata --keep-prev -``` - - - -*Fig 1. Video annotation example. A frame (left), The next frame (right).* - - - - -*Fig 2. Visualization of video semantic segmentation.* - - -## How to Convert a Video File to Images for Annotation? - -```bash -# Download and install software for converting a video file (MP4) to images -wget https://raw.githubusercontent.com/wkentaro/dotfiles/f3c5ad1f47834818d4f123c36ed59a5943709518/local/bin/video_to_images -pip install imageio imageio-ffmpeg tqdm - -python video_to_images your_video.mp4 # this creates your_video/ directory -ls your_video/ - -labelme your_video/ -``` diff --git a/DataAnnotation/labelme/examples/video_annotation/data_annotated/00000100.jpg b/DataAnnotation/labelme/examples/video_annotation/data_annotated/00000100.jpg deleted file mode 100644 index 09699728ca7dd50a63b6306ebae0f149e4b81392..0000000000000000000000000000000000000000 Binary files a/DataAnnotation/labelme/examples/video_annotation/data_annotated/00000100.jpg and /dev/null differ diff --git a/DataAnnotation/labelme/examples/video_annotation/data_annotated/00000100.json 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a/DataAnnotation/labelme/examples/video_annotation/data_dataset_voc/class_names.txt +++ /dev/null @@ -1,3 +0,0 @@ -_background_ -car -track \ No newline at end of file diff --git a/DataAnnotation/labelme/examples/video_annotation/labelme2voc.py b/DataAnnotation/labelme/examples/video_annotation/labelme2voc.py deleted file mode 120000 index 03bbbb8836b5d1bfc2e23707fc72ddef7d2ab250..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/examples/video_annotation/labelme2voc.py +++ /dev/null @@ -1 +0,0 @@ -../semantic_segmentation/labelme2voc.py \ No newline at end of file diff --git a/DataAnnotation/labelme/examples/video_annotation/labels.txt b/DataAnnotation/labelme/examples/video_annotation/labels.txt deleted file mode 100644 index 077705b636646bf16e5aff898dea39b29c5ac344..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/examples/video_annotation/labels.txt +++ /dev/null @@ -1,4 +0,0 @@ -__ignore__ -_background_ -car -track diff --git a/DataAnnotation/labelme/github2pypi/.travis.yml b/DataAnnotation/labelme/github2pypi/.travis.yml deleted file mode 100644 index 29c13b74dd3d244f161ca1c3a2a7f74fe2c86fb4..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/github2pypi/.travis.yml +++ /dev/null @@ -1,26 +0,0 @@ -sudo: false - -cache: - - pip - -dist: trusty - -language: python - -python: - - '3.6' - - '2.7' - -branches: - only: - - master - -notifications: - email: false - -install: - - true # drop pip install -r requirements.txt - -script: - - pip install flake8 - - flake8 . diff --git a/DataAnnotation/labelme/github2pypi/README.md b/DataAnnotation/labelme/github2pypi/README.md deleted file mode 100644 index 972ee38cbc0cacdf90839c744b157bb4866d0676..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/github2pypi/README.md +++ /dev/null @@ -1,47 +0,0 @@ -

- github2pypi -

- -

- Utils to release Python repository on GitHub to PyPi -

- -
- -
- - -## Usage - - -### 1. Add `github2pypi` as submodule. - -See [imgviz](https://github.com/wkentaro/imgviz) as an example. - -```bash -git clone https://github.com/wkentaro/imgviz -cd imgviz - -git submodule add https://github.com/wkentaro/github2pypi.git -``` - - -### 2. Edit `setup.py`. - -```python -import github2pypi - -... -with open('README.md') as f: - # e.g., ![](examples/image.jpg) -> - # ![](https://github.com/wkentaro/imgviz/blob/master/examples/image.jpg) - long_description = github2pypi.replace_url( - slug='wkentaro/imgviz', content=f.read() - ) - -setup( - ... - long_description=long_description, - long_description_content_type='text/markdown', -) -``` diff --git a/DataAnnotation/labelme/github2pypi/__init__.py b/DataAnnotation/labelme/github2pypi/__init__.py deleted file mode 100644 index 5339798420ed25ab0c241a4469923d104f08b77b..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/github2pypi/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -# flake8: noqa - -from .replace_url import replace_url diff --git a/DataAnnotation/labelme/github2pypi/replace_url.py b/DataAnnotation/labelme/github2pypi/replace_url.py deleted file mode 100644 index 03b1a57abb42ffa1eb130a4e40697225832e762e..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/github2pypi/replace_url.py +++ /dev/null @@ -1,41 +0,0 @@ -import re - - -def replace_url(slug, content, branch='master'): - - def repl(match): - if not match: - return - - url = match.group(1) - if url.startswith('http'): - return match.group(0) - - url_new = ( - 'https://github.com/{slug}/blob/{branch}/{url}' - .format(slug=slug, branch=branch, url=url) - ) - if re.match(r'.*[\.jpg|\.png]$', url_new): - url_new += '?raw=true' - - start0, end0 = match.regs[0] - start, end = match.regs[1] - start -= start0 - end -= start0 - - res = match.group(0) - res = res[:start] + url_new + res[end:] - return res - - lines = [] - for line in content.splitlines(): - patterns = [ - r'!\[.*?\]\((.*?)\)', - r'', - r'\[.*?\]\((.*?)\)', - r'', - ] - for pattern in patterns: - line = re.sub(pattern, repl, line) - lines.append(line) - return '\n'.join(lines) diff --git a/DataAnnotation/labelme/labelme.spec b/DataAnnotation/labelme/labelme.spec deleted file mode 100644 index c4e13edb871d143377a4f40ab63deaaced6e659f..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/labelme.spec +++ /dev/null @@ -1,45 +0,0 @@ -# -*- mode: python -*- -# vim: ft=python - - -block_cipher = None - - -a = Analysis( - ['labelme/main.py'], - pathex=['labelme'], - binaries=[], - datas=[ - ('labelme/config/default_config.yaml', 'labelme/config'), - ('labelme/icons/*', 'labelme/icons'), - ], - hiddenimports=[], - hookspath=[], - runtime_hooks=[], - excludes=['matplotlib'], - win_no_prefer_redirects=False, - win_private_assemblies=False, - cipher=block_cipher, -) -pyz = PYZ(a.pure, a.zipped_data, cipher=block_cipher) -exe = EXE( - pyz, - a.scripts, - a.binaries, - a.zipfiles, - a.datas, - name='labelme', - debug=False, - strip=False, - upx=True, - runtime_tmpdir=None, - console=False, - icon='labelme/icons/icon.ico', -) -app = BUNDLE( - exe, - name='labelme.app', - icon='labelme/icons/icon.icns', - bundle_identifier=None, - info_plist={'NSHighResolutionCapable': 'True'}, -) diff --git a/DataAnnotation/labelme/labelme/__init__.py b/DataAnnotation/labelme/labelme/__init__.py deleted file mode 100644 index 6b50d0055b8975f4cd6ec0cea2e74da8262688b5..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/labelme/__init__.py +++ /dev/null @@ -1,23 +0,0 @@ -# flake8: noqa - -import logging -import sys - -from qtpy import QT_VERSION - - -__appname__ = 'labelme' - -QT4 = QT_VERSION[0] == '4' -QT5 = QT_VERSION[0] == '5' -del QT_VERSION - -PY2 = sys.version[0] == '2' -PY3 = sys.version[0] == '3' -del sys - - -from labelme._version import __version__ - -from labelme import testing -from labelme import utils diff --git a/DataAnnotation/labelme/labelme/_version.py b/DataAnnotation/labelme/labelme/_version.py deleted file mode 100644 index 23e46419b60d8852acb951febaeb76c52bbb6ac6..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/labelme/_version.py +++ /dev/null @@ -1,5 +0,0 @@ -# Semantic Versioning 2.0.0: https://semver.org/ -# 1. MAJOR version when you make incompatible API changes; -# 2. MINOR version when you add functionality in a backwards-compatible manner; -# 3. PATCH version when you make backwards-compatible bug fixes. -__version__ = '3.16.3' diff --git a/DataAnnotation/labelme/labelme/app.py b/DataAnnotation/labelme/labelme/app.py deleted file mode 100644 index 7bf9706c66e831c68345ca6a7ed328bfeed2eb89..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/labelme/app.py +++ /dev/null @@ -1,1670 +0,0 @@ -import functools -import os -import os.path as osp -import re -import webbrowser - -from qtpy import QtCore -from qtpy.QtCore import Qt -from qtpy import QtGui -from qtpy import QtWidgets - -from labelme import __appname__ -from labelme import PY2 -from labelme import QT5 - -from . import utils -from labelme.config import get_config -from labelme.label_file import LabelFile -from labelme.label_file import LabelFileError -from labelme.logger import logger -from labelme.shape import DEFAULT_FILL_COLOR -from labelme.shape import DEFAULT_LINE_COLOR -from labelme.shape import Shape -from labelme.widgets import Canvas -from labelme.widgets import ColorDialog -from labelme.widgets import EscapableQListWidget -from labelme.widgets import LabelDialog -from labelme.widgets import LabelQListWidget -from labelme.widgets import ToolBar -from labelme.widgets import ZoomWidget - - -# FIXME -# - [medium] Set max zoom value to something big enough for FitWidth/Window - -# TODO(unknown): -# - [high] Add polygon movement with arrow keys -# - [high] Deselect shape when clicking and already selected(?) -# - [low,maybe] Open images with drag & drop. -# - [low,maybe] Preview images on file dialogs. -# - Zoom is too "steppy". - - -class MainWindow(QtWidgets.QMainWindow): - - FIT_WINDOW, FIT_WIDTH, MANUAL_ZOOM = 0, 1, 2 - - def __init__( - self, - config=None, - filename=None, - output=None, - output_file=None, - output_dir=None, - ): - if output is not None: - logger.warning( - 'argument output is deprecated, use output_file instead' - ) - if output_file is None: - output_file = output - - # see labelme/config/default_config.yaml for valid configuration - if config is None: - config = get_config() - self._config = config - - super(MainWindow, self).__init__() - self.setWindowTitle(__appname__) - - # Whether we need to save or not. - self.dirty = False - - self._noSelectionSlot = False - - # Main widgets and related state. - self.labelDialog = LabelDialog( - parent=self, - labels=self._config['labels'], - sort_labels=self._config['sort_labels'], - show_text_field=self._config['show_label_text_field'], - completion=self._config['label_completion'], - fit_to_content=self._config['fit_to_content'], - flags=self._config['label_flags'] - ) - - self.labelList = LabelQListWidget() - self.lastOpenDir = None - - self.flag_dock = self.flag_widget = None - self.flag_dock = QtWidgets.QDockWidget('Flags', self) - self.flag_dock.setObjectName('Flags') - self.flag_widget = QtWidgets.QListWidget() - if config['flags']: - self.loadFlags({k: False for k in config['flags']}) - self.flag_dock.setWidget(self.flag_widget) - self.flag_widget.itemChanged.connect(self.setDirty) - - self.labelList.itemActivated.connect(self.labelSelectionChanged) - self.labelList.itemSelectionChanged.connect(self.labelSelectionChanged) - self.labelList.itemDoubleClicked.connect(self.editLabel) - # Connect to itemChanged to detect checkbox changes. - self.labelList.itemChanged.connect(self.labelItemChanged) - self.labelList.setDragDropMode( - QtWidgets.QAbstractItemView.InternalMove) - self.labelList.setParent(self) - self.shape_dock = QtWidgets.QDockWidget('Polygon Labels', self) - self.shape_dock.setObjectName('Labels') - self.shape_dock.setWidget(self.labelList) - - self.uniqLabelList = EscapableQListWidget() - self.uniqLabelList.setToolTip( - "Select label to start annotating for it. " - "Press 'Esc' to deselect.") - if self._config['labels']: - self.uniqLabelList.addItems(self._config['labels']) - self.uniqLabelList.sortItems() - self.label_dock = QtWidgets.QDockWidget(u'Label List', self) - self.label_dock.setObjectName(u'Label List') - self.label_dock.setWidget(self.uniqLabelList) - - self.fileSearch = QtWidgets.QLineEdit() - self.fileSearch.setPlaceholderText('Search Filename') - self.fileSearch.textChanged.connect(self.fileSearchChanged) - self.fileListWidget = QtWidgets.QListWidget() - self.fileListWidget.itemSelectionChanged.connect( - self.fileSelectionChanged - ) - fileListLayout = QtWidgets.QVBoxLayout() - fileListLayout.setContentsMargins(0, 0, 0, 0) - fileListLayout.setSpacing(0) - fileListLayout.addWidget(self.fileSearch) - fileListLayout.addWidget(self.fileListWidget) - self.file_dock = QtWidgets.QDockWidget(u'File List', self) - self.file_dock.setObjectName(u'Files') - fileListWidget = QtWidgets.QWidget() - fileListWidget.setLayout(fileListLayout) - self.file_dock.setWidget(fileListWidget) - - self.zoomWidget = ZoomWidget() - self.colorDialog = ColorDialog(parent=self) - - self.canvas = self.labelList.canvas = Canvas( - epsilon=self._config['epsilon'], - ) - self.canvas.zoomRequest.connect(self.zoomRequest) - - scrollArea = QtWidgets.QScrollArea() - scrollArea.setWidget(self.canvas) - scrollArea.setWidgetResizable(True) - self.scrollBars = { - Qt.Vertical: scrollArea.verticalScrollBar(), - Qt.Horizontal: scrollArea.horizontalScrollBar(), - } - self.canvas.scrollRequest.connect(self.scrollRequest) - - self.canvas.newShape.connect(self.newShape) - self.canvas.shapeMoved.connect(self.setDirty) - self.canvas.selectionChanged.connect(self.shapeSelectionChanged) - self.canvas.drawingPolygon.connect(self.toggleDrawingSensitive) - - self.setCentralWidget(scrollArea) - - features = QtWidgets.QDockWidget.DockWidgetFeatures() - for dock in ['flag_dock', 'label_dock', 'shape_dock', 'file_dock']: - if self._config[dock]['closable']: - features = features | QtWidgets.QDockWidget.DockWidgetClosable - if self._config[dock]['floatable']: - features = features | QtWidgets.QDockWidget.DockWidgetFloatable - if self._config[dock]['movable']: - features = features | QtWidgets.QDockWidget.DockWidgetMovable - getattr(self, dock).setFeatures(features) - if self._config[dock]['show'] is False: - getattr(self, dock).setVisible(False) - - self.addDockWidget(Qt.RightDockWidgetArea, self.flag_dock) - self.addDockWidget(Qt.RightDockWidgetArea, self.label_dock) - self.addDockWidget(Qt.RightDockWidgetArea, self.shape_dock) - self.addDockWidget(Qt.RightDockWidgetArea, self.file_dock) - - # Actions - action = functools.partial(utils.newAction, self) - shortcuts = self._config['shortcuts'] - quit = action('&Quit', self.close, shortcuts['quit'], 'quit', - 'Quit application') - open_ = action('&Open', self.openFile, shortcuts['open'], 'open', - 'Open image or label file') - opendir = action('&Open Dir', self.openDirDialog, - shortcuts['open_dir'], 'open', u'Open Dir') - openNextImg = action( - '&Next Image', - self.openNextImg, - shortcuts['open_next'], - 'next', - u'Open next (hold Ctl+Shift to copy labels)', - enabled=False, - ) - openPrevImg = action( - '&Prev Image', - self.openPrevImg, - shortcuts['open_prev'], - 'prev', - u'Open prev (hold Ctl+Shift to copy labels)', - enabled=False, - ) - save = action('&Save', self.saveFile, shortcuts['save'], 'save', - 'Save labels to file', enabled=False) - saveAs = action('&Save As', self.saveFileAs, shortcuts['save_as'], - 'save-as', 'Save labels to a different file', - enabled=False) - - deleteFile = action( - '&Delete File', - self.deleteFile, - shortcuts['delete_file'], - 'delete', - 'Delete current label file', - enabled=False) - - changeOutputDir = action( - '&Change Output Dir', - slot=self.changeOutputDirDialog, - shortcut=shortcuts['save_to'], - icon='open', - tip=u'Change where annotations are loaded/saved' - ) - - saveAuto = action( - text='Save &Automatically', - slot=lambda x: self.actions.saveAuto.setChecked(x), - icon='save', - tip='Save automatically', - checkable=True, - enabled=True, - ) - saveAuto.setChecked(self._config['auto_save']) - - close = action('&Close', self.closeFile, shortcuts['close'], 'close', - 'Close current file') - color1 = action('Polygon &Line Color', self.chooseColor1, - shortcuts['edit_line_color'], 'color_line', - 'Choose polygon line color') - color2 = action('Polygon &Fill Color', self.chooseColor2, - shortcuts['edit_fill_color'], 'color', - 'Choose polygon fill color') - - toggle_keep_prev_mode = action( - 'Keep Previous Annotation', - self.toggleKeepPrevMode, - shortcuts['toggle_keep_prev_mode'], None, - 'Toggle "keep pevious annotation" mode', - checkable=True) - toggle_keep_prev_mode.setChecked(self._config['keep_prev']) - - createMode = action( - 'Create Polygons', - lambda: self.toggleDrawMode(False, createMode='polygon'), - shortcuts['create_polygon'], - 'objects', - 'Start drawing polygons', - enabled=False, - ) - createRectangleMode = action( - 'Create Rectangle', - lambda: self.toggleDrawMode(False, createMode='rectangle'), - shortcuts['create_rectangle'], - 'objects', - 'Start drawing rectangles', - enabled=False, - ) - createCircleMode = action( - 'Create Circle', - lambda: self.toggleDrawMode(False, createMode='circle'), - shortcuts['create_circle'], - 'objects', - 'Start drawing circles', - enabled=False, - ) - createLineMode = action( - 'Create Line', - lambda: self.toggleDrawMode(False, createMode='line'), - shortcuts['create_line'], - 'objects', - 'Start drawing lines', - enabled=False, - ) - createPointMode = action( - 'Create Point', - lambda: self.toggleDrawMode(False, createMode='point'), - shortcuts['create_point'], - 'objects', - 'Start drawing points', - enabled=False, - ) - createLineStripMode = action( - 'Create LineStrip', - lambda: self.toggleDrawMode(False, createMode='linestrip'), - shortcuts['create_linestrip'], - 'objects', - 'Start drawing linestrip. Ctrl+LeftClick ends creation.', - enabled=False, - ) - editMode = action('Edit Polygons', self.setEditMode, - shortcuts['edit_polygon'], 'edit', - 'Move and edit the selected polygons', enabled=False) - - delete = action('Delete Polygons', self.deleteSelectedShape, - shortcuts['delete_polygon'], 'cancel', - 'Delete the selected polygons', enabled=False) - copy = action('Duplicate Polygons', self.copySelectedShape, - shortcuts['duplicate_polygon'], 'copy', - 'Create a duplicate of the selected polygons', - enabled=False) - undoLastPoint = action('Undo last point', self.canvas.undoLastPoint, - shortcuts['undo_last_point'], 'undo', - 'Undo last drawn point', enabled=False) - addPointToEdge = action( - 'Add Point to Edge', - self.canvas.addPointToEdge, - shortcuts['add_point_to_edge'], - 'edit', - 'Add point to the nearest edge', - enabled=False, - ) - - undo = action('Undo', self.undoShapeEdit, shortcuts['undo'], 'undo', - 'Undo last add and edit of shape', enabled=False) - - hideAll = action('&Hide\nPolygons', - functools.partial(self.togglePolygons, False), - icon='eye', tip='Hide all polygons', enabled=False) - showAll = action('&Show\nPolygons', - functools.partial(self.togglePolygons, True), - icon='eye', tip='Show all polygons', enabled=False) - - help = action('&Tutorial', self.tutorial, icon='help', - tip='Show tutorial page') - - zoom = QtWidgets.QWidgetAction(self) - zoom.setDefaultWidget(self.zoomWidget) - self.zoomWidget.setWhatsThis( - 'Zoom in or out of the image. Also accessible with ' - '{} and {} from the canvas.' - .format( - utils.fmtShortcut( - '{},{}'.format( - shortcuts['zoom_in'], shortcuts['zoom_out'] - ) - ), - utils.fmtShortcut("Ctrl+Wheel"), - ) - ) - self.zoomWidget.setEnabled(False) - - zoomIn = action('Zoom &In', functools.partial(self.addZoom, 1.1), - shortcuts['zoom_in'], 'zoom-in', - 'Increase zoom level', enabled=False) - zoomOut = action('&Zoom Out', functools.partial(self.addZoom, 0.9), - shortcuts['zoom_out'], 'zoom-out', - 'Decrease zoom level', enabled=False) - zoomOrg = action('&Original size', - functools.partial(self.setZoom, 100), - shortcuts['zoom_to_original'], 'zoom', - 'Zoom to original size', enabled=False) - fitWindow = action('&Fit Window', self.setFitWindow, - shortcuts['fit_window'], 'fit-window', - 'Zoom follows window size', checkable=True, - enabled=False) - fitWidth = action('Fit &Width', self.setFitWidth, - shortcuts['fit_width'], 'fit-width', - 'Zoom follows window width', - checkable=True, enabled=False) - # Group zoom controls into a list for easier toggling. - zoomActions = (self.zoomWidget, zoomIn, zoomOut, zoomOrg, - fitWindow, fitWidth) - self.zoomMode = self.FIT_WINDOW - fitWindow.setChecked(Qt.Checked) - self.scalers = { - self.FIT_WINDOW: self.scaleFitWindow, - self.FIT_WIDTH: self.scaleFitWidth, - # Set to one to scale to 100% when loading files. - self.MANUAL_ZOOM: lambda: 1, - } - - edit = action('&Edit Label', self.editLabel, shortcuts['edit_label'], - 'edit', 'Modify the label of the selected polygon', - enabled=False) - - shapeLineColor = action( - 'Shape &Line Color', self.chshapeLineColor, icon='color-line', - tip='Change the line color for this specific shape', enabled=False) - shapeFillColor = action( - 'Shape &Fill Color', self.chshapeFillColor, icon='color', - tip='Change the fill color for this specific shape', enabled=False) - fill_drawing = action( - 'Fill Drawing Polygon', - lambda x: self.canvas.setFillDrawing(x), - None, - 'color', - 'Fill polygon while drawing', - checkable=True, - enabled=True, - ) - fill_drawing.setChecked(True) - - # Lavel list context menu. - labelMenu = QtWidgets.QMenu() - utils.addActions(labelMenu, (edit, delete)) - self.labelList.setContextMenuPolicy(Qt.CustomContextMenu) - self.labelList.customContextMenuRequested.connect( - self.popLabelListMenu) - - # Store actions for further handling. - self.actions = utils.struct( - saveAuto=saveAuto, - changeOutputDir=changeOutputDir, - save=save, saveAs=saveAs, open=open_, close=close, - deleteFile=deleteFile, - lineColor=color1, fillColor=color2, - toggleKeepPrevMode=toggle_keep_prev_mode, - delete=delete, edit=edit, copy=copy, - undoLastPoint=undoLastPoint, undo=undo, - addPointToEdge=addPointToEdge, - createMode=createMode, editMode=editMode, - createRectangleMode=createRectangleMode, - createCircleMode=createCircleMode, - createLineMode=createLineMode, - createPointMode=createPointMode, - createLineStripMode=createLineStripMode, - shapeLineColor=shapeLineColor, shapeFillColor=shapeFillColor, - zoom=zoom, zoomIn=zoomIn, zoomOut=zoomOut, zoomOrg=zoomOrg, - fitWindow=fitWindow, fitWidth=fitWidth, - zoomActions=zoomActions, - openNextImg=openNextImg, openPrevImg=openPrevImg, - fileMenuActions=(open_, opendir, save, saveAs, close, quit), - tool=(), - # XXX: need to add some actions here to activate the shortcut - editMenu=( - edit, - copy, - delete, - None, - undo, - undoLastPoint, - None, - addPointToEdge, - None, - color1, - color2, - None, - toggle_keep_prev_mode, - ), - # menu shown at right click - menu=( - createMode, - createRectangleMode, - createCircleMode, - createLineMode, - createPointMode, - createLineStripMode, - editMode, - edit, - copy, - delete, - shapeLineColor, - shapeFillColor, - undo, - undoLastPoint, - addPointToEdge, - ), - onLoadActive=( - close, - createMode, - createRectangleMode, - createCircleMode, - createLineMode, - createPointMode, - createLineStripMode, - editMode, - ), - onShapesPresent=(saveAs, hideAll, showAll), - ) - - self.canvas.edgeSelected.connect( - self.actions.addPointToEdge.setEnabled - ) - - self.menus = utils.struct( - file=self.menu('&File'), - edit=self.menu('&Edit'), - view=self.menu('&View'), - help=self.menu('&Help'), - recentFiles=QtWidgets.QMenu('Open &Recent'), - labelList=labelMenu, - ) - - utils.addActions( - self.menus.file, - ( - open_, - openNextImg, - openPrevImg, - opendir, - self.menus.recentFiles, - save, - saveAs, - saveAuto, - changeOutputDir, - close, - deleteFile, - None, - quit, - ), - ) - utils.addActions(self.menus.help, (help,)) - utils.addActions( - self.menus.view, - ( - self.flag_dock.toggleViewAction(), - self.label_dock.toggleViewAction(), - self.shape_dock.toggleViewAction(), - self.file_dock.toggleViewAction(), - None, - fill_drawing, - None, - hideAll, - showAll, - None, - zoomIn, - zoomOut, - zoomOrg, - None, - fitWindow, - fitWidth, - None, - ), - ) - - self.menus.file.aboutToShow.connect(self.updateFileMenu) - - # Custom context menu for the canvas widget: - utils.addActions(self.canvas.menus[0], self.actions.menu) - utils.addActions( - self.canvas.menus[1], - ( - action('&Copy here', self.copyShape), - action('&Move here', self.moveShape), - ), - ) - - self.tools = self.toolbar('Tools') - # Menu buttons on Left - self.actions.tool = ( - open_, - opendir, - openNextImg, - openPrevImg, - save, - deleteFile, - None, - createMode, - editMode, - copy, - delete, - undo, - None, - zoomIn, - zoom, - zoomOut, - fitWindow, - fitWidth, - ) - - self.statusBar().showMessage('%s started.' % __appname__) - self.statusBar().show() - - if output_file is not None and self._config['auto_save']: - logger.warn( - 'If `auto_save` argument is True, `output_file` argument ' - 'is ignored and output filename is automatically ' - 'set as IMAGE_BASENAME.json.' - ) - self.output_file = output_file - self.output_dir = output_dir - - # Application state. - self.image = QtGui.QImage() - self.imagePath = None - self.recentFiles = [] - self.maxRecent = 7 - self.lineColor = None - self.fillColor = None - self.otherData = None - self.zoom_level = 100 - self.fit_window = False - - if filename is not None and osp.isdir(filename): - self.importDirImages(filename, load=False) - else: - self.filename = filename - - if config['file_search']: - self.fileSearch.setText(config['file_search']) - self.fileSearchChanged() - - # XXX: Could be completely declarative. - # Restore application settings. - self.settings = QtCore.QSettings('labelme', 'labelme') - # FIXME: QSettings.value can return None on PyQt4 - self.recentFiles = self.settings.value('recentFiles', []) or [] - size = self.settings.value('window/size', QtCore.QSize(600, 500)) - position = self.settings.value('window/position', QtCore.QPoint(0, 0)) - self.resize(size) - self.move(position) - # or simply: - # self.restoreGeometry(settings['window/geometry'] - self.restoreState( - self.settings.value('window/state', QtCore.QByteArray())) - self.lineColor = QtGui.QColor( - self.settings.value('line/color', Shape.line_color)) - self.fillColor = QtGui.QColor( - self.settings.value('fill/color', Shape.fill_color)) - Shape.line_color = self.lineColor - Shape.fill_color = self.fillColor - - # Populate the File menu dynamically. - self.updateFileMenu() - # Since loading the file may take some time, - # make sure it runs in the background. - if self.filename is not None: - self.queueEvent(functools.partial(self.loadFile, self.filename)) - - # Callbacks: - self.zoomWidget.valueChanged.connect(self.paintCanvas) - - self.populateModeActions() - - # self.firstStart = True - # if self.firstStart: - # QWhatsThis.enterWhatsThisMode() - - def menu(self, title, actions=None): - menu = self.menuBar().addMenu(title) - if actions: - utils.addActions(menu, actions) - return menu - - def toolbar(self, title, actions=None): - toolbar = ToolBar(title) - toolbar.setObjectName('%sToolBar' % title) - # toolbar.setOrientation(Qt.Vertical) - toolbar.setToolButtonStyle(Qt.ToolButtonTextUnderIcon) - if actions: - utils.addActions(toolbar, actions) - self.addToolBar(Qt.LeftToolBarArea, toolbar) - return toolbar - - # Support Functions - - def noShapes(self): - return not self.labelList.itemsToShapes - - def populateModeActions(self): - tool, menu = self.actions.tool, self.actions.menu - self.tools.clear() - utils.addActions(self.tools, tool) - self.canvas.menus[0].clear() - utils.addActions(self.canvas.menus[0], menu) - self.menus.edit.clear() - actions = ( - self.actions.createMode, - self.actions.createRectangleMode, - self.actions.createCircleMode, - self.actions.createLineMode, - self.actions.createPointMode, - self.actions.createLineStripMode, - self.actions.editMode, - ) - utils.addActions(self.menus.edit, actions + self.actions.editMenu) - - def setDirty(self): - if self._config['auto_save'] or self.actions.saveAuto.isChecked(): - label_file = osp.splitext(self.imagePath)[0] + '.json' - if self.output_dir: - label_file_without_path = osp.basename(label_file) - label_file = osp.join(self.output_dir, label_file_without_path) - self.saveLabels(label_file) - return - self.dirty = True - self.actions.save.setEnabled(True) - self.actions.undo.setEnabled(self.canvas.isShapeRestorable) - title = __appname__ - if self.filename is not None: - title = '{} - {}*'.format(title, self.filename) - self.setWindowTitle(title) - - def setClean(self): - self.dirty = False - self.actions.save.setEnabled(False) - self.actions.createMode.setEnabled(True) - self.actions.createRectangleMode.setEnabled(True) - self.actions.createCircleMode.setEnabled(True) - self.actions.createLineMode.setEnabled(True) - self.actions.createPointMode.setEnabled(True) - self.actions.createLineStripMode.setEnabled(True) - title = __appname__ - if self.filename is not None: - title = '{} - {}'.format(title, self.filename) - self.setWindowTitle(title) - - if self.hasLabelFile(): - self.actions.deleteFile.setEnabled(True) - else: - self.actions.deleteFile.setEnabled(False) - - def toggleActions(self, value=True): - """Enable/Disable widgets which depend on an opened image.""" - for z in self.actions.zoomActions: - z.setEnabled(value) - for action in self.actions.onLoadActive: - action.setEnabled(value) - - def queueEvent(self, function): - QtCore.QTimer.singleShot(0, function) - - def status(self, message, delay=5000): - self.statusBar().showMessage(message, delay) - - def resetState(self): - self.labelList.clear() - self.filename = None - self.imagePath = None - self.imageData = None - self.labelFile = None - self.otherData = None - self.canvas.resetState() - - def currentItem(self): - items = self.labelList.selectedItems() - if items: - return items[0] - return None - - def addRecentFile(self, filename): - if filename in self.recentFiles: - self.recentFiles.remove(filename) - elif len(self.recentFiles) >= self.maxRecent: - self.recentFiles.pop() - self.recentFiles.insert(0, filename) - - # Callbacks - - def undoShapeEdit(self): - self.canvas.restoreShape() - self.labelList.clear() - self.loadShapes(self.canvas.shapes) - self.actions.undo.setEnabled(self.canvas.isShapeRestorable) - - def tutorial(self): - url = 'https://github.com/wkentaro/labelme/tree/master/examples/tutorial' # NOQA - webbrowser.open(url) - - def toggleDrawingSensitive(self, drawing=True): - """Toggle drawing sensitive. - - In the middle of drawing, toggling between modes should be disabled. - """ - self.actions.editMode.setEnabled(not drawing) - self.actions.undoLastPoint.setEnabled(drawing) - self.actions.undo.setEnabled(not drawing) - self.actions.delete.setEnabled(not drawing) - - def toggleDrawMode(self, edit=True, createMode='polygon'): - self.canvas.setEditing(edit) - self.canvas.createMode = createMode - if edit: - self.actions.createMode.setEnabled(True) - self.actions.createRectangleMode.setEnabled(True) - self.actions.createCircleMode.setEnabled(True) - self.actions.createLineMode.setEnabled(True) - self.actions.createPointMode.setEnabled(True) - self.actions.createLineStripMode.setEnabled(True) - else: - if createMode == 'polygon': - self.actions.createMode.setEnabled(False) - self.actions.createRectangleMode.setEnabled(True) - self.actions.createCircleMode.setEnabled(True) - self.actions.createLineMode.setEnabled(True) - self.actions.createPointMode.setEnabled(True) - self.actions.createLineStripMode.setEnabled(True) - elif createMode == 'rectangle': - self.actions.createMode.setEnabled(True) - self.actions.createRectangleMode.setEnabled(False) - self.actions.createCircleMode.setEnabled(True) - self.actions.createLineMode.setEnabled(True) - self.actions.createPointMode.setEnabled(True) - self.actions.createLineStripMode.setEnabled(True) - elif createMode == 'line': - self.actions.createMode.setEnabled(True) - self.actions.createRectangleMode.setEnabled(True) - self.actions.createCircleMode.setEnabled(True) - self.actions.createLineMode.setEnabled(False) - self.actions.createPointMode.setEnabled(True) - self.actions.createLineStripMode.setEnabled(True) - elif createMode == 'point': - self.actions.createMode.setEnabled(True) - self.actions.createRectangleMode.setEnabled(True) - self.actions.createCircleMode.setEnabled(True) - self.actions.createLineMode.setEnabled(True) - self.actions.createPointMode.setEnabled(False) - self.actions.createLineStripMode.setEnabled(True) - elif createMode == "circle": - self.actions.createMode.setEnabled(True) - self.actions.createRectangleMode.setEnabled(True) - self.actions.createCircleMode.setEnabled(False) - self.actions.createLineMode.setEnabled(True) - self.actions.createPointMode.setEnabled(True) - self.actions.createLineStripMode.setEnabled(True) - elif createMode == "linestrip": - self.actions.createMode.setEnabled(True) - self.actions.createRectangleMode.setEnabled(True) - self.actions.createCircleMode.setEnabled(True) - self.actions.createLineMode.setEnabled(True) - self.actions.createPointMode.setEnabled(True) - self.actions.createLineStripMode.setEnabled(False) - else: - raise ValueError('Unsupported createMode: %s' % createMode) - self.actions.editMode.setEnabled(not edit) - - def setEditMode(self): - self.toggleDrawMode(True) - - def updateFileMenu(self): - current = self.filename - - def exists(filename): - return osp.exists(str(filename)) - - menu = self.menus.recentFiles - menu.clear() - files = [f for f in self.recentFiles if f != current and exists(f)] - for i, f in enumerate(files): - icon = utils.newIcon('labels') - action = QtWidgets.QAction( - icon, '&%d %s' % (i + 1, QtCore.QFileInfo(f).fileName()), self) - action.triggered.connect(functools.partial(self.loadRecent, f)) - menu.addAction(action) - - def popLabelListMenu(self, point): - self.menus.labelList.exec_(self.labelList.mapToGlobal(point)) - - def validateLabel(self, label): - # no validation - if self._config['validate_label'] is None: - return True - - for i in range(self.uniqLabelList.count()): - label_i = self.uniqLabelList.item(i).text() - if self._config['validate_label'] in ['exact', 'instance']: - if label_i == label: - return True - if self._config['validate_label'] == 'instance': - m = re.match(r'^{}-[0-9]*$'.format(label_i), label) - if m: - return True - return False - - def editLabel(self, item=False): - if item and not isinstance(item, QtWidgets.QListWidgetItem): - raise TypeError('unsupported type of item: {}'.format(type(item))) - - if not self.canvas.editing(): - return - if not item: - item = self.currentItem() - if item is None: - return - shape = self.labelList.get_shape_from_item(item) - if shape is None: - return - text, flags = self.labelDialog.popUp(shape.label, flags=shape.flags) - if text is None: - return - if not self.validateLabel(text): - self.errorMessage('Invalid label', - "Invalid label '{}' with validation type '{}'" - .format(text, self._config['validate_label'])) - return - shape.label = text - shape.flags = flags - item.setText(text) - self.setDirty() - if not self.uniqLabelList.findItems(text, Qt.MatchExactly): - self.uniqLabelList.addItem(text) - self.uniqLabelList.sortItems() - - def fileSearchChanged(self): - self.importDirImages( - self.lastOpenDir, - pattern=self.fileSearch.text(), - load=False, - ) - - def fileSelectionChanged(self): - items = self.fileListWidget.selectedItems() - if not items: - return - item = items[0] - - if not self.mayContinue(): - return - - currIndex = self.imageList.index(str(item.text())) - if currIndex < len(self.imageList): - filename = self.imageList[currIndex] - if filename: - self.loadFile(filename) - - # React to canvas signals. - def shapeSelectionChanged(self, selected_shapes): - self._noSelectionSlot = True - for shape in self.canvas.selectedShapes: - shape.selected = False - self.labelList.clearSelection() - self.canvas.selectedShapes = selected_shapes - for shape in self.canvas.selectedShapes: - shape.selected = True - item = self.labelList.get_item_from_shape(shape) - item.setSelected(True) - self._noSelectionSlot = False - n_selected = len(selected_shapes) - self.actions.delete.setEnabled(n_selected) - self.actions.copy.setEnabled(n_selected) - self.actions.edit.setEnabled(n_selected == 1) - self.actions.shapeLineColor.setEnabled(n_selected) - self.actions.shapeFillColor.setEnabled(n_selected) - - def addLabel(self, shape): - item = QtWidgets.QListWidgetItem(shape.label) - item.setFlags(item.flags() | Qt.ItemIsUserCheckable) - item.setCheckState(Qt.Checked) - self.labelList.itemsToShapes.append((item, shape)) - self.labelList.addItem(item) - if not self.uniqLabelList.findItems(shape.label, Qt.MatchExactly): - self.uniqLabelList.addItem(shape.label) - self.uniqLabelList.sortItems() - self.labelDialog.addLabelHistory(item.text()) - for action in self.actions.onShapesPresent: - action.setEnabled(True) - - def remLabels(self, shapes): - for shape in shapes: - item = self.labelList.get_item_from_shape(shape) - self.labelList.takeItem(self.labelList.row(item)) - - def loadShapes(self, shapes, replace=True): - self._noSelectionSlot = True - for shape in shapes: - self.addLabel(shape) - self.labelList.clearSelection() - self._noSelectionSlot = False - self.canvas.loadShapes(shapes, replace=replace) - - def loadLabels(self, shapes): - s = [] - for label, points, line_color, fill_color, shape_type, flags in shapes: - shape = Shape(label=label, shape_type=shape_type) - for x, y in points: - shape.addPoint(QtCore.QPointF(x, y)) - shape.close() - - if line_color: - shape.line_color = QtGui.QColor(*line_color) - - if fill_color: - shape.fill_color = QtGui.QColor(*fill_color) - - default_flags = {} - if self._config['label_flags']: - for pattern, keys in self._config['label_flags'].items(): - if re.match(pattern, label): - for key in keys: - default_flags[key] = False - shape.flags = default_flags - shape.flags.update(flags) - - s.append(shape) - self.loadShapes(s) - - def loadFlags(self, flags): - self.flag_widget.clear() - for key, flag in flags.items(): - item = QtWidgets.QListWidgetItem(key) - item.setFlags(item.flags() | Qt.ItemIsUserCheckable) - item.setCheckState(Qt.Checked if flag else Qt.Unchecked) - self.flag_widget.addItem(item) - - def saveLabels(self, filename): - lf = LabelFile() - - def format_shape(s): - return dict( - label=s.label.encode('utf-8') if PY2 else s.label, - line_color=s.line_color.getRgb() - if s.line_color != self.lineColor else None, - fill_color=s.fill_color.getRgb() - if s.fill_color != self.fillColor else None, - points=[(p.x(), p.y()) for p in s.points], - shape_type=s.shape_type, - flags=s.flags - ) - - shapes = [format_shape(shape) for shape in self.labelList.shapes] - flags = {} - for i in range(self.flag_widget.count()): - item = self.flag_widget.item(i) - key = item.text() - flag = item.checkState() == Qt.Checked - flags[key] = flag - try: - imagePath = osp.relpath( - self.imagePath, osp.dirname(filename)) - imageData = self.imageData if self._config['store_data'] else None - if osp.dirname(filename) and not osp.exists(osp.dirname(filename)): - os.makedirs(osp.dirname(filename)) - lf.save( - filename=filename, - shapes=shapes, - imagePath=imagePath, - imageData=imageData, - imageHeight=self.image.height(), - imageWidth=self.image.width(), - lineColor=self.lineColor.getRgb(), - fillColor=self.fillColor.getRgb(), - otherData=self.otherData, - flags=flags, - ) - self.labelFile = lf - items = self.fileListWidget.findItems( - self.imagePath, Qt.MatchExactly - ) - if len(items) > 0: - if len(items) != 1: - raise RuntimeError('There are duplicate files.') - items[0].setCheckState(Qt.Checked) - # disable allows next and previous image to proceed - # self.filename = filename - return True - except LabelFileError as e: - self.errorMessage('Error saving label data', '%s' % e) - return False - - def copySelectedShape(self): - added_shapes = self.canvas.copySelectedShapes() - self.labelList.clearSelection() - for shape in added_shapes: - self.addLabel(shape) - self.setDirty() - - def labelSelectionChanged(self): - if self._noSelectionSlot: - return - if self.canvas.editing(): - selected_shapes = [] - for item in self.labelList.selectedItems(): - shape = self.labelList.get_shape_from_item(item) - selected_shapes.append(shape) - if selected_shapes: - self.canvas.selectShapes(selected_shapes) - - def labelItemChanged(self, item): - shape = self.labelList.get_shape_from_item(item) - label = str(item.text()) - if label != shape.label: - shape.label = str(item.text()) - self.setDirty() - else: # User probably changed item visibility - self.canvas.setShapeVisible(shape, item.checkState() == Qt.Checked) - - # Callback functions: - - def newShape(self): - """Pop-up and give focus to the label editor. - - position MUST be in global coordinates. - """ - items = self.uniqLabelList.selectedItems() - text = None - flags = {} - if items: - text = items[0].text() - if self._config['display_label_popup'] or not text: - # instance label auto increment - if self._config['instance_label_auto_increment']: - previous_label = self.labelDialog.edit.text() - split = previous_label.split('-') - if len(split) > 1 and split[-1].isdigit(): - split[-1] = str(int(split[-1]) + 1) - instance_text = '-'.join(split) - else: - instance_text = previous_label - if instance_text != '': - text = instance_text - text, flags = self.labelDialog.popUp(text) - if text is None: - self.labelDialog.edit.setText(previous_label) - - if text and not self.validateLabel(text): - self.errorMessage('Invalid label', - "Invalid label '{}' with validation type '{}'" - .format(text, self._config['validate_label'])) - text = '' - if text: - self.labelList.clearSelection() - self.addLabel(self.canvas.setLastLabel(text, flags)) - self.actions.editMode.setEnabled(True) - self.actions.undoLastPoint.setEnabled(False) - self.actions.undo.setEnabled(True) - self.setDirty() - else: - self.canvas.undoLastLine() - self.canvas.shapesBackups.pop() - - def scrollRequest(self, delta, orientation): - units = - delta * 0.1 # natural scroll - bar = self.scrollBars[orientation] - bar.setValue(bar.value() + bar.singleStep() * units) - - def setZoom(self, value): - self.actions.fitWidth.setChecked(False) - self.actions.fitWindow.setChecked(False) - self.zoomMode = self.MANUAL_ZOOM - self.zoomWidget.setValue(value) - - def addZoom(self, increment=1.1): - self.setZoom(self.zoomWidget.value() * increment) - - def zoomRequest(self, delta, pos): - canvas_width_old = self.canvas.width() - units = 1.1 - if delta < 0: - units = 0.9 - self.addZoom(units) - - canvas_width_new = self.canvas.width() - if canvas_width_old != canvas_width_new: - canvas_scale_factor = canvas_width_new / canvas_width_old - - x_shift = round(pos.x() * canvas_scale_factor) - pos.x() - y_shift = round(pos.y() * canvas_scale_factor) - pos.y() - - self.scrollBars[Qt.Horizontal].setValue( - self.scrollBars[Qt.Horizontal].value() + x_shift) - self.scrollBars[Qt.Vertical].setValue( - self.scrollBars[Qt.Vertical].value() + y_shift) - - def setFitWindow(self, value=True): - if value: - self.actions.fitWidth.setChecked(False) - self.zoomMode = self.FIT_WINDOW if value else self.MANUAL_ZOOM - self.adjustScale() - - def setFitWidth(self, value=True): - if value: - self.actions.fitWindow.setChecked(False) - self.zoomMode = self.FIT_WIDTH if value else self.MANUAL_ZOOM - self.adjustScale() - - def togglePolygons(self, value): - for item, shape in self.labelList.itemsToShapes: - item.setCheckState(Qt.Checked if value else Qt.Unchecked) - - def loadFile(self, filename=None): - """Load the specified file, or the last opened file if None.""" - # changing fileListWidget loads file - if (filename in self.imageList and - self.fileListWidget.currentRow() != - self.imageList.index(filename)): - self.fileListWidget.setCurrentRow(self.imageList.index(filename)) - self.fileListWidget.repaint() - return - - self.resetState() - self.canvas.setEnabled(False) - if filename is None: - filename = self.settings.value('filename', '') - filename = str(filename) - if not QtCore.QFile.exists(filename): - self.errorMessage( - 'Error opening file', 'No such file: %s' % filename) - return False - # assumes same name, but json extension - self.status("Loading %s..." % osp.basename(str(filename))) - label_file = osp.splitext(filename)[0] + '.json' - if self.output_dir: - label_file_without_path = osp.basename(label_file) - label_file = osp.join(self.output_dir, label_file_without_path) - if QtCore.QFile.exists(label_file) and \ - LabelFile.is_label_file(label_file): - try: - self.labelFile = LabelFile(label_file) - except LabelFileError as e: - self.errorMessage( - 'Error opening file', - "

%s

" - "

Make sure %s is a valid label file." - % (e, label_file)) - self.status("Error reading %s" % label_file) - return False - self.imageData = self.labelFile.imageData - self.imagePath = osp.join( - osp.dirname(label_file), - self.labelFile.imagePath, - ) - if self.labelFile.lineColor is not None: - self.lineColor = QtGui.QColor(*self.labelFile.lineColor) - if self.labelFile.fillColor is not None: - self.fillColor = QtGui.QColor(*self.labelFile.fillColor) - self.otherData = self.labelFile.otherData - else: - self.imageData = LabelFile.load_image_file(filename) - if self.imageData: - self.imagePath = filename - self.labelFile = None - image = QtGui.QImage.fromData(self.imageData) - - if image.isNull(): - formats = ['*.{}'.format(fmt.data().decode()) - for fmt in QtGui.QImageReader.supportedImageFormats()] - self.errorMessage( - 'Error opening file', - '

Make sure {0} is a valid image file.
' - 'Supported image formats: {1}

' - .format(filename, ','.join(formats))) - self.status("Error reading %s" % filename) - return False - self.image = image - self.filename = filename - if self._config['keep_prev']: - prev_shapes = self.canvas.shapes - self.canvas.loadPixmap(QtGui.QPixmap.fromImage(image)) - if self._config['flags']: - self.loadFlags({k: False for k in self._config['flags']}) - if self.labelFile: - self.loadLabels(self.labelFile.shapes) - if self.labelFile.flags is not None: - self.loadFlags(self.labelFile.flags) - if self._config['keep_prev'] and not self.labelList.shapes: - self.loadShapes(prev_shapes, replace=False) - self.setClean() - self.canvas.setEnabled(True) - self.adjustScale(initial=True) - self.paintCanvas() - self.addRecentFile(self.filename) - self.toggleActions(True) - self.status("Loaded %s" % osp.basename(str(filename))) - return True - - def resizeEvent(self, event): - if self.canvas and not self.image.isNull()\ - and self.zoomMode != self.MANUAL_ZOOM: - self.adjustScale() - super(MainWindow, self).resizeEvent(event) - - def paintCanvas(self): - assert not self.image.isNull(), "cannot paint null image" - self.canvas.scale = 0.01 * self.zoomWidget.value() - self.canvas.adjustSize() - self.canvas.update() - - def adjustScale(self, initial=False): - value = self.scalers[self.FIT_WINDOW if initial else self.zoomMode]() - self.zoomWidget.setValue(int(100 * value)) - - def scaleFitWindow(self): - """Figure out the size of the pixmap to fit the main widget.""" - e = 2.0 # So that no scrollbars are generated. - w1 = self.centralWidget().width() - e - h1 = self.centralWidget().height() - e - a1 = w1 / h1 - # Calculate a new scale value based on the pixmap's aspect ratio. - w2 = self.canvas.pixmap.width() - 0.0 - h2 = self.canvas.pixmap.height() - 0.0 - a2 = w2 / h2 - return w1 / w2 if a2 >= a1 else h1 / h2 - - def scaleFitWidth(self): - # The epsilon does not seem to work too well here. - w = self.centralWidget().width() - 2.0 - return w / self.canvas.pixmap.width() - - def closeEvent(self, event): - if not self.mayContinue(): - event.ignore() - self.settings.setValue( - 'filename', self.filename if self.filename else '') - self.settings.setValue('window/size', self.size()) - self.settings.setValue('window/position', self.pos()) - self.settings.setValue('window/state', self.saveState()) - self.settings.setValue('line/color', self.lineColor) - self.settings.setValue('fill/color', self.fillColor) - self.settings.setValue('recentFiles', self.recentFiles) - # ask the use for where to save the labels - # self.settings.setValue('window/geometry', self.saveGeometry()) - - # User Dialogs # - - def loadRecent(self, filename): - if self.mayContinue(): - self.loadFile(filename) - - def openPrevImg(self, _value=False): - keep_prev = self._config['keep_prev'] - if QtGui.QGuiApplication.keyboardModifiers() == \ - (QtCore.Qt.ControlModifier | QtCore.Qt.ShiftModifier): - self._config['keep_prev'] = True - - if not self.mayContinue(): - return - - if len(self.imageList) <= 0: - return - - if self.filename is None: - return - - currIndex = self.imageList.index(self.filename) - if currIndex - 1 >= 0: - filename = self.imageList[currIndex - 1] - if filename: - self.loadFile(filename) - - self._config['keep_prev'] = keep_prev - - def openNextImg(self, _value=False, load=True): - keep_prev = self._config['keep_prev'] - if QtGui.QGuiApplication.keyboardModifiers() == \ - (QtCore.Qt.ControlModifier | QtCore.Qt.ShiftModifier): - self._config['keep_prev'] = True - - if not self.mayContinue(): - return - - if len(self.imageList) <= 0: - return - - filename = None - if self.filename is None: - filename = self.imageList[0] - else: - currIndex = self.imageList.index(self.filename) - if currIndex + 1 < len(self.imageList): - filename = self.imageList[currIndex + 1] - else: - filename = self.imageList[-1] - self.filename = filename - - if self.filename and load: - self.loadFile(self.filename) - - self._config['keep_prev'] = keep_prev - - def openFile(self, _value=False): - if not self.mayContinue(): - return - path = osp.dirname(str(self.filename)) if self.filename else '.' - formats = ['*.{}'.format(fmt.data().decode()) - for fmt in QtGui.QImageReader.supportedImageFormats()] - filters = "Image & Label files (%s)" % ' '.join( - formats + ['*%s' % LabelFile.suffix]) - filename = QtWidgets.QFileDialog.getOpenFileName( - self, '%s - Choose Image or Label file' % __appname__, - path, filters) - if QT5: - filename, _ = filename - filename = str(filename) - if filename: - self.loadFile(filename) - - def changeOutputDirDialog(self, _value=False): - default_output_dir = self.output_dir - if default_output_dir is None and self.filename: - default_output_dir = osp.dirname(self.filename) - if default_output_dir is None: - default_output_dir = self.currentPath() - - output_dir = QtWidgets.QFileDialog.getExistingDirectory( - self, '%s - Save/Load Annotations in Directory' % __appname__, - default_output_dir, - QtWidgets.QFileDialog.ShowDirsOnly | - QtWidgets.QFileDialog.DontResolveSymlinks, - ) - output_dir = str(output_dir) - - if not output_dir: - return - - self.output_dir = output_dir - - self.statusBar().showMessage( - '%s . Annotations will be saved/loaded in %s' % - ('Change Annotations Dir', self.output_dir)) - self.statusBar().show() - - current_filename = self.filename - self.importDirImages(self.lastOpenDir, load=False) - - if current_filename in self.imageList: - # retain currently selected file - self.fileListWidget.setCurrentRow( - self.imageList.index(current_filename)) - self.fileListWidget.repaint() - - def saveFile(self, _value=False): - assert not self.image.isNull(), "cannot save empty image" - if self._config['flags'] or self.hasLabels(): - if self.labelFile: - # DL20180323 - overwrite when in directory - self._saveFile(self.labelFile.filename) - elif self.output_file: - self._saveFile(self.output_file) - self.close() - else: - self._saveFile(self.saveFileDialog()) - - def saveFileAs(self, _value=False): - assert not self.image.isNull(), "cannot save empty image" - if self.hasLabels(): - self._saveFile(self.saveFileDialog()) - - def saveFileDialog(self): - caption = '%s - Choose File' % __appname__ - filters = 'Label files (*%s)' % LabelFile.suffix - if self.output_dir: - dlg = QtWidgets.QFileDialog( - self, caption, self.output_dir, filters - ) - else: - dlg = QtWidgets.QFileDialog( - self, caption, self.currentPath(), filters - ) - dlg.setDefaultSuffix(LabelFile.suffix[1:]) - dlg.setAcceptMode(QtWidgets.QFileDialog.AcceptSave) - dlg.setOption(QtWidgets.QFileDialog.DontConfirmOverwrite, False) - dlg.setOption(QtWidgets.QFileDialog.DontUseNativeDialog, False) - basename = osp.basename(osp.splitext(self.filename)[0]) - if self.output_dir: - default_labelfile_name = osp.join( - self.output_dir, basename + LabelFile.suffix - ) - else: - default_labelfile_name = osp.join( - self.currentPath(), basename + LabelFile.suffix - ) - filename = dlg.getSaveFileName( - self, 'Choose File', default_labelfile_name, - 'Label files (*%s)' % LabelFile.suffix) - if QT5: - filename, _ = filename - filename = str(filename) - return filename - - def _saveFile(self, filename): - if filename and self.saveLabels(filename): - self.addRecentFile(filename) - self.setClean() - - def closeFile(self, _value=False): - if not self.mayContinue(): - return - self.resetState() - self.setClean() - self.toggleActions(False) - self.canvas.setEnabled(False) - self.actions.saveAs.setEnabled(False) - - def getLabelFile(self): - if self.filename.lower().endswith('.json'): - label_file = self.filename - else: - label_file = osp.splitext(self.filename)[0] + '.json' - - return label_file - - def deleteFile(self): - mb = QtWidgets.QMessageBox - msg = 'You are about to permanently delete this label file, ' \ - 'proceed anyway?' - answer = mb.warning(self, 'Attention', msg, mb.Yes | mb.No) - if answer != mb.Yes: - return - - label_file = self.getLabelFile() - if osp.exists(label_file): - os.remove(label_file) - logger.info('Label file is removed: {}'.format(label_file)) - - item = self.fileListWidget.currentItem() - item.setCheckState(Qt.Unchecked) - - self.resetState() - - # Message Dialogs. # - def hasLabels(self): - if not self.labelList.itemsToShapes: - self.errorMessage( - 'No objects labeled', - 'You must label at least one object to save the file.') - return False - return True - - def hasLabelFile(self): - if self.filename is None: - return False - - label_file = self.getLabelFile() - return osp.exists(label_file) - - def mayContinue(self): - if not self.dirty: - return True - mb = QtWidgets.QMessageBox - msg = 'Save annotations to "{}" before closing?'.format(self.filename) - answer = mb.question(self, - 'Save annotations?', - msg, - mb.Save | mb.Discard | mb.Cancel, - mb.Save) - if answer == mb.Discard: - return True - elif answer == mb.Save: - self.saveFile() - return True - else: # answer == mb.Cancel - return False - - def errorMessage(self, title, message): - return QtWidgets.QMessageBox.critical( - self, title, '

%s

%s' % (title, message)) - - def currentPath(self): - return osp.dirname(str(self.filename)) if self.filename else '.' - - def chooseColor1(self): - color = self.colorDialog.getColor( - self.lineColor, 'Choose line color', default=DEFAULT_LINE_COLOR) - if color: - self.lineColor = color - # Change the color for all shape lines: - Shape.line_color = self.lineColor - self.canvas.update() - self.setDirty() - - def chooseColor2(self): - color = self.colorDialog.getColor( - self.fillColor, 'Choose fill color', default=DEFAULT_FILL_COLOR) - if color: - self.fillColor = color - Shape.fill_color = self.fillColor - self.canvas.update() - self.setDirty() - - def toggleKeepPrevMode(self): - self._config['keep_prev'] = not self._config['keep_prev'] - - def deleteSelectedShape(self): - yes, no = QtWidgets.QMessageBox.Yes, QtWidgets.QMessageBox.No - msg = 'You are about to permanently delete {} polygons, ' \ - 'proceed anyway?'.format(len(self.canvas.selectedShapes)) - if yes == QtWidgets.QMessageBox.warning(self, 'Attention', msg, - yes | no): - self.remLabels(self.canvas.deleteSelected()) - self.setDirty() - if self.noShapes(): - for action in self.actions.onShapesPresent: - action.setEnabled(False) - - def chshapeLineColor(self): - color = self.colorDialog.getColor( - self.lineColor, 'Choose line color', default=DEFAULT_LINE_COLOR) - if color: - for shape in self.canvas.selectedShapes: - shape.line_color = color - self.canvas.update() - self.setDirty() - - def chshapeFillColor(self): - color = self.colorDialog.getColor( - self.fillColor, 'Choose fill color', default=DEFAULT_FILL_COLOR) - if color: - for shape in self.canvas.selectedShapes: - shape.fill_color = color - self.canvas.update() - self.setDirty() - - def copyShape(self): - self.canvas.endMove(copy=True) - self.labelList.clearSelection() - for shape in self.canvas.selectedShapes: - self.addLabel(shape) - self.setDirty() - - def moveShape(self): - self.canvas.endMove(copy=False) - self.setDirty() - - def openDirDialog(self, _value=False, dirpath=None): - if not self.mayContinue(): - return - - defaultOpenDirPath = dirpath if dirpath else '.' - if self.lastOpenDir and osp.exists(self.lastOpenDir): - defaultOpenDirPath = self.lastOpenDir - else: - defaultOpenDirPath = osp.dirname(self.filename) \ - if self.filename else '.' - - targetDirPath = str(QtWidgets.QFileDialog.getExistingDirectory( - self, '%s - Open Directory' % __appname__, defaultOpenDirPath, - QtWidgets.QFileDialog.ShowDirsOnly | - QtWidgets.QFileDialog.DontResolveSymlinks)) - self.importDirImages(targetDirPath) - - @property - def imageList(self): - lst = [] - for i in range(self.fileListWidget.count()): - item = self.fileListWidget.item(i) - lst.append(item.text()) - return lst - - def importDirImages(self, dirpath, pattern=None, load=True): - self.actions.openNextImg.setEnabled(True) - self.actions.openPrevImg.setEnabled(True) - - if not self.mayContinue() or not dirpath: - return - - self.lastOpenDir = dirpath - self.filename = None - self.fileListWidget.clear() - for filename in self.scanAllImages(dirpath): - if pattern and pattern not in filename: - continue - label_file = osp.splitext(filename)[0] + '.json' - if self.output_dir: - label_file_without_path = osp.basename(label_file) - label_file = osp.join(self.output_dir, label_file_without_path) - item = QtWidgets.QListWidgetItem(filename) - item.setFlags(Qt.ItemIsEnabled | Qt.ItemIsSelectable) - if QtCore.QFile.exists(label_file) and \ - LabelFile.is_label_file(label_file): - item.setCheckState(Qt.Checked) - else: - item.setCheckState(Qt.Unchecked) - self.fileListWidget.addItem(item) - self.openNextImg(load=load) - - def scanAllImages(self, folderPath): - extensions = ['.%s' % fmt.data().decode("ascii").lower() - for fmt in QtGui.QImageReader.supportedImageFormats()] - images = [] - - for root, dirs, files in os.walk(folderPath): - for file in files: - if file.lower().endswith(tuple(extensions)): - relativePath = osp.join(root, file) - images.append(relativePath) - images.sort(key=lambda x: x.lower()) - return images diff --git a/DataAnnotation/labelme/labelme/cli/__init__.py b/DataAnnotation/labelme/labelme/cli/__init__.py deleted file mode 100644 index 21bbbc375fc17961b6e02cec814dbe043a748bb4..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/labelme/cli/__init__.py +++ /dev/null @@ -1,6 +0,0 @@ -# flake8: noqa - -from . import draw_json -from . import draw_label_png -from . import json_to_dataset -from . import on_docker diff --git a/DataAnnotation/labelme/labelme/cli/draw_json.py b/DataAnnotation/labelme/labelme/cli/draw_json.py deleted file mode 100644 index bd1c6d61d7d1636f7b9bd62e4510d36fa9b9e4af..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/labelme/cli/draw_json.py +++ /dev/null @@ -1,58 +0,0 @@ -#!/usr/bin/env python - -import argparse -import base64 -import json -import os -import sys - -import matplotlib.pyplot as plt - -from labelme import utils - - -PY2 = sys.version_info[0] == 2 - - -def main(): - parser = argparse.ArgumentParser() - parser.add_argument('json_file') - args = parser.parse_args() - - json_file = args.json_file - - data = json.load(open(json_file)) - - if data['imageData']: - imageData = data['imageData'] - else: - imagePath = os.path.join(os.path.dirname(json_file), data['imagePath']) - with open(imagePath, 'rb') as f: - imageData = f.read() - imageData = base64.b64encode(imageData).decode('utf-8') - img = utils.img_b64_to_arr(imageData) - - label_name_to_value = {'_background_': 0} - for shape in sorted(data['shapes'], key=lambda x: x['label']): - label_name = shape['label'] - if label_name in label_name_to_value: - label_value = label_name_to_value[label_name] - else: - label_value = len(label_name_to_value) - label_name_to_value[label_name] = label_value - lbl = utils.shapes_to_label(img.shape, data['shapes'], label_name_to_value) - - label_names = [None] * (max(label_name_to_value.values()) + 1) - for name, value in label_name_to_value.items(): - label_names[value] = name - lbl_viz = utils.draw_label(lbl, img, label_names) - - plt.subplot(121) - plt.imshow(img) - plt.subplot(122) - plt.imshow(lbl_viz) - plt.show() - - -if __name__ == '__main__': - main() diff --git a/DataAnnotation/labelme/labelme/cli/draw_label_png.py b/DataAnnotation/labelme/labelme/cli/draw_label_png.py deleted file mode 100644 index c2c4cb90c67529027d7830d29531db9d52ea94d0..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/labelme/cli/draw_label_png.py +++ /dev/null @@ -1,28 +0,0 @@ -import argparse - -import matplotlib.pyplot as plt -import numpy as np -import PIL.Image - -from labelme.logger import logger -from labelme import utils - - -def main(): - parser = argparse.ArgumentParser( - formatter_class=argparse.ArgumentDefaultsHelpFormatter) - parser.add_argument('label_png', help='label PNG file') - args = parser.parse_args() - - lbl = np.asarray(PIL.Image.open(args.label_png)) - - logger.info('label shape: {}'.format(lbl.shape)) - logger.info('unique label values: {}'.format(np.unique(lbl))) - - lbl_viz = utils.draw_label(lbl) - plt.imshow(lbl_viz) - plt.show() - - -if __name__ == '__main__': - main() diff --git a/DataAnnotation/labelme/labelme/cli/json_to_dataset.py b/DataAnnotation/labelme/labelme/cli/json_to_dataset.py deleted file mode 100644 index 871be8bf62f616fc6acf9a999f6d98386d92171c..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/labelme/cli/json_to_dataset.py +++ /dev/null @@ -1,76 +0,0 @@ -import argparse -import base64 -import json -import os -import os.path as osp - -import PIL.Image -import yaml - -from labelme.logger import logger -from labelme import utils - - -def main(): - logger.warning('This script is aimed to demonstrate how to convert the' - 'JSON file to a single image dataset, and not to handle' - 'multiple JSON files to generate a real-use dataset.') - - parser = argparse.ArgumentParser() - parser.add_argument('json_file') - parser.add_argument('-o', '--out', default=None) - args = parser.parse_args() - - json_file = args.json_file - - if args.out is None: - out_dir = osp.basename(json_file).replace('.', '_') - out_dir = osp.join(osp.dirname(json_file), out_dir) - else: - out_dir = args.out - if not osp.exists(out_dir): - os.mkdir(out_dir) - - data = json.load(open(json_file)) - imageData = data.get('imageData') - - if not imageData: - imagePath = os.path.join(os.path.dirname(json_file), data['imagePath']) - with open(imagePath, 'rb') as f: - imageData = f.read() - imageData = base64.b64encode(imageData).decode('utf-8') - img = utils.img_b64_to_arr(imageData) - - label_name_to_value = {'_background_': 0} - for shape in sorted(data['shapes'], key=lambda x: x['label']): - label_name = shape['label'] - if label_name in label_name_to_value: - label_value = label_name_to_value[label_name] - else: - label_value = len(label_name_to_value) - label_name_to_value[label_name] = label_value - lbl = utils.shapes_to_label(img.shape, data['shapes'], label_name_to_value) - - label_names = [None] * (max(label_name_to_value.values()) + 1) - for name, value in label_name_to_value.items(): - label_names[value] = name - lbl_viz = utils.draw_label(lbl, img, label_names) - - PIL.Image.fromarray(img).save(osp.join(out_dir, 'img.png')) - utils.lblsave(osp.join(out_dir, 'label.png'), lbl) - PIL.Image.fromarray(lbl_viz).save(osp.join(out_dir, 'label_viz.png')) - - with open(osp.join(out_dir, 'label_names.txt'), 'w') as f: - for lbl_name in label_names: - f.write(lbl_name + '\n') - - logger.warning('info.yaml is being replaced by label_names.txt') - info = dict(label_names=label_names) - with open(osp.join(out_dir, 'info.yaml'), 'w') as f: - yaml.safe_dump(info, f, default_flow_style=False) - - logger.info('Saved to: {}'.format(out_dir)) - - -if __name__ == '__main__': - main() diff --git a/DataAnnotation/labelme/labelme/cli/on_docker.py b/DataAnnotation/labelme/labelme/cli/on_docker.py deleted file mode 100644 index e47423cd40a0b60106bf66f29af54a3315c94c16..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/labelme/cli/on_docker.py +++ /dev/null @@ -1,100 +0,0 @@ -#!/usr/bin/env python - -from __future__ import print_function - -import argparse -import distutils.spawn -import json -import os -import os.path as osp -import platform -import shlex -import subprocess -import sys - - -def get_ip(): - dist = platform.platform().split('-')[0] - if dist == 'Linux': - return '' - elif dist == 'Darwin': - cmd = 'ifconfig en0' - output = subprocess.check_output(shlex.split(cmd)) - if str != bytes: # Python3 - output = output.decode('utf-8') - for row in output.splitlines(): - cols = row.strip().split(' ') - if cols[0] == 'inet': - ip = cols[1] - return ip - else: - raise RuntimeError('No ip is found.') - else: - raise RuntimeError('Unsupported platform.') - - -def labelme_on_docker(in_file, out_file): - ip = get_ip() - cmd = 'xhost + %s' % ip - subprocess.check_output(shlex.split(cmd)) - - if out_file: - out_file = osp.abspath(out_file) - if osp.exists(out_file): - raise RuntimeError('File exists: %s' % out_file) - else: - open(osp.abspath(out_file), 'w') - - cmd = 'docker run -it --rm' \ - ' -e DISPLAY={0}:0' \ - ' -e QT_X11_NO_MITSHM=1' \ - ' -v /tmp/.X11-unix:/tmp/.X11-unix' \ - ' -v {1}:{2}' \ - ' -w /home/developer' - in_file_a = osp.abspath(in_file) - in_file_b = osp.join('/home/developer', osp.basename(in_file)) - cmd = cmd.format( - ip, - in_file_a, - in_file_b, - ) - if out_file: - out_file_a = osp.abspath(out_file) - out_file_b = osp.join('/home/developer', osp.basename(out_file)) - cmd += ' -v {0}:{1}'.format(out_file_a, out_file_b) - cmd += ' wkentaro/labelme labelme {0}'.format(in_file_b) - if out_file: - cmd += ' -O {0}'.format(out_file_b) - subprocess.call(shlex.split(cmd)) - - if out_file: - try: - json.load(open(out_file)) - return out_file - except Exception: - if open(out_file).read() == '': - os.remove(out_file) - raise RuntimeError('Annotation is cancelled.') - - -def main(): - parser = argparse.ArgumentParser() - parser.add_argument('in_file', help='Input file or directory.') - parser.add_argument('-O', '--output') - args = parser.parse_args() - - if not distutils.spawn.find_executable('docker'): - print('Please install docker', file=sys.stderr) - sys.exit(1) - - try: - out_file = labelme_on_docker(args.in_file, args.output) - if out_file: - print('Saved to: %s' % out_file) - except RuntimeError as e: - sys.stderr.write(e.__str__() + '\n') - sys.exit(1) - - -if __name__ == '__main__': - main() diff --git a/DataAnnotation/labelme/labelme/config/__init__.py b/DataAnnotation/labelme/labelme/config/__init__.py deleted file mode 100644 index e62e2c5a4f7b10dd8acc4549676f292227f550f7..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/labelme/config/__init__.py +++ /dev/null @@ -1,79 +0,0 @@ -import os.path as osp -import shutil - -import yaml - -from labelme.logger import logger - - -here = osp.dirname(osp.abspath(__file__)) - - -def update_dict(target_dict, new_dict, validate_item=None): - for key, value in new_dict.items(): - if validate_item: - validate_item(key, value) - if key not in target_dict: - logger.warn('Skipping unexpected key in config: {}' - .format(key)) - continue - if isinstance(target_dict[key], dict) and \ - isinstance(value, dict): - update_dict(target_dict[key], value, validate_item=validate_item) - else: - target_dict[key] = value - - -# ----------------------------------------------------------------------------- - - -def get_default_config(): - config_file = osp.join(here, 'default_config.yaml') - with open(config_file) as f: - config = yaml.safe_load(f) - - # save default config to ~/.labelmerc - user_config_file = osp.join(osp.expanduser('~'), '.labelmerc') - if not osp.exists(user_config_file): - try: - shutil.copy(config_file, user_config_file) - except Exception: - logger.warn('Failed to save config: {}'.format(user_config_file)) - - return config - - -def validate_config_item(key, value): - if key == 'validate_label' and value not in [None, 'exact', 'instance']: - raise ValueError( - "Unexpected value for config key 'validate_label': {}" - .format(value) - ) - if key == 'labels' and value is not None and len(value) != len(set(value)): - raise ValueError( - "Duplicates are detected for config key 'labels': {}".format(value) - ) - - -def get_config(config_from_args=None, config_file=None): - # Configuration load order: - # - # 1. default config (lowest priority) - # 2. config file passed by command line argument or ~/.labelmerc - # 3. command line argument (highest priority) - - # 1. default config - config = get_default_config() - - # 2. config from yaml file - if config_file is not None and osp.exists(config_file): - with open(config_file) as f: - user_config = yaml.safe_load(f) or {} - update_dict(config, user_config, validate_item=validate_config_item) - - # 3. command line argument - if config_from_args is not None: - update_dict(config, config_from_args, - validate_item=validate_config_item) - - return config diff --git a/DataAnnotation/labelme/labelme/config/default_config.yaml b/DataAnnotation/labelme/labelme/config/default_config.yaml deleted file mode 100644 index dacac3f51df876b8c123eac055b07123e8f9db5b..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/labelme/config/default_config.yaml +++ /dev/null @@ -1,80 +0,0 @@ -auto_save: false -display_label_popup: true -instance_label_auto_increment: true -store_data: true -keep_prev: false -logger_level: info - -flags: null -label_flags: null -labels: null -file_search: null -sort_labels: true -validate_label: null - -# main -flag_dock: - show: true - closable: true - movable: true - floatable: true -label_dock: - show: true - closable: true - movable: true - floatable: true -shape_dock: - show: true - closable: true - movable: true - floatable: true -file_dock: - show: true - closable: true - movable: true - floatable: true - -# label_dialog -show_label_text_field: true -label_completion: startswith -fit_to_content: - column: true - row: false - -epsilon: 10.0 - -shortcuts: - close: Ctrl+W - open: Ctrl+O - open_dir: Ctrl+U - quit: Ctrl+Q - save: Ctrl+S - save_as: Ctrl+Shift+S - save_to: null - delete_file: Ctrl+Delete - - open_next: [D, Ctrl+Shift+D] - open_prev: [A, Ctrl+Shift+A] - - zoom_in: [Ctrl++, Ctrl+=] - zoom_out: Ctrl+- - zoom_to_original: Ctrl+0 - fit_window: Ctrl+F - fit_width: Ctrl+Shift+F - - create_polygon: Ctrl+N - create_rectangle: Ctrl+R - create_circle: null - create_line: null - create_point: null - create_linestrip: null - edit_polygon: Ctrl+J - delete_polygon: Delete - duplicate_polygon: Ctrl+D - undo: Ctrl+Z - undo_last_point: [Ctrl+Z, Backspace] - add_point_to_edge: Ctrl+Shift+P - edit_label: Ctrl+E - edit_line_color: Ctrl+L - edit_fill_color: Ctrl+Shift+L - toggle_keep_prev_mode: Ctrl+P diff --git 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b/DataAnnotation/labelme/labelme/icons/undo-cross.png deleted file mode 100644 index 7d57dcbd0f63427cd0de28a6108660e366b984e5..0000000000000000000000000000000000000000 Binary files a/DataAnnotation/labelme/labelme/icons/undo-cross.png and /dev/null differ diff --git a/DataAnnotation/labelme/labelme/icons/undo.png b/DataAnnotation/labelme/labelme/icons/undo.png deleted file mode 100644 index b2ac62bc03f106a5c6bac3a43d51e45c9a1402f4..0000000000000000000000000000000000000000 Binary files a/DataAnnotation/labelme/labelme/icons/undo.png and /dev/null differ diff --git a/DataAnnotation/labelme/labelme/icons/zoom-in.png b/DataAnnotation/labelme/labelme/icons/zoom-in.png deleted file mode 100644 index 1ac4864d4a0c95a022e19ef38b4544711de39f1e..0000000000000000000000000000000000000000 Binary files a/DataAnnotation/labelme/labelme/icons/zoom-in.png and /dev/null differ diff --git a/DataAnnotation/labelme/labelme/icons/zoom-out.png b/DataAnnotation/labelme/labelme/icons/zoom-out.png deleted file mode 100644 index d67a87de533e307cb0e95ab2623259d98eb1adae..0000000000000000000000000000000000000000 Binary files a/DataAnnotation/labelme/labelme/icons/zoom-out.png and /dev/null differ diff --git a/DataAnnotation/labelme/labelme/icons/zoom.png b/DataAnnotation/labelme/labelme/icons/zoom.png deleted file mode 100644 index 8265f27840a14b4b275086df67af01c73a3a8420..0000000000000000000000000000000000000000 Binary files a/DataAnnotation/labelme/labelme/icons/zoom.png and /dev/null differ diff --git a/DataAnnotation/labelme/labelme/label_file.py b/DataAnnotation/labelme/labelme/label_file.py deleted file mode 100644 index ca756a69308a205c24a45c4f86bf363e5fd0f506..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/labelme/label_file.py +++ /dev/null @@ -1,175 +0,0 @@ -import base64 -import io -import json -import os.path as osp - -import PIL.Image - -from labelme._version import __version__ -from labelme.logger import logger -from labelme import PY2 -from labelme import QT4 -from labelme import utils - - -class LabelFileError(Exception): - pass - - -class LabelFile(object): - - suffix = '.json' - - def __init__(self, filename=None): - self.shapes = () - self.imagePath = None - self.imageData = None - if filename is not None: - self.load(filename) - self.filename = filename - - @staticmethod - def load_image_file(filename): - try: - image_pil = PIL.Image.open(filename) - except IOError: - logger.error('Failed opening image file: {}'.format(filename)) - return - - # apply orientation to image according to exif - image_pil = utils.apply_exif_orientation(image_pil) - - with io.BytesIO() as f: - ext = osp.splitext(filename)[1].lower() - if PY2 and QT4: - format = 'PNG' - elif ext in ['.jpg', '.jpeg']: - format = 'JPEG' - else: - format = 'PNG' - image_pil.save(f, format=format) - f.seek(0) - return f.read() - - def load(self, filename): - keys = [ - 'imageData', - 'imagePath', - 'lineColor', - 'fillColor', - 'shapes', # polygonal annotations - 'flags', # image level flags - 'imageHeight', - 'imageWidth', - ] - try: - with open(filename, 'rb' if PY2 else 'r') as f: - data = json.load(f) - if data['imageData'] is not None: - imageData = base64.b64decode(data['imageData']) - if PY2 and QT4: - imageData = utils.img_data_to_png_data(imageData) - else: - # relative path from label file to relative path from cwd - imagePath = osp.join(osp.dirname(filename), data['imagePath']) - imageData = self.load_image_file(imagePath) - flags = data.get('flags') or {} - imagePath = data['imagePath'] - self._check_image_height_and_width( - base64.b64encode(imageData).decode('utf-8'), - data.get('imageHeight'), - data.get('imageWidth'), - ) - lineColor = data['lineColor'] - fillColor = data['fillColor'] - shapes = ( - ( - s['label'], - s['points'], - s['line_color'], - s['fill_color'], - s.get('shape_type', 'polygon'), - s.get('flags', {}), - ) - for s in data['shapes'] - ) - except Exception as e: - raise LabelFileError(e) - - otherData = {} - for key, value in data.items(): - if key not in keys: - otherData[key] = value - - # Only replace data after everything is loaded. - self.flags = flags - self.shapes = shapes - self.imagePath = imagePath - self.imageData = imageData - self.lineColor = lineColor - self.fillColor = fillColor - self.filename = filename - self.otherData = otherData - - @staticmethod - def _check_image_height_and_width(imageData, imageHeight, imageWidth): - img_arr = utils.img_b64_to_arr(imageData) - if imageHeight is not None and img_arr.shape[0] != imageHeight: - logger.error( - 'imageHeight does not match with imageData or imagePath, ' - 'so getting imageHeight from actual image.' - ) - imageHeight = img_arr.shape[0] - if imageWidth is not None and img_arr.shape[1] != imageWidth: - logger.error( - 'imageWidth does not match with imageData or imagePath, ' - 'so getting imageWidth from actual image.' - ) - imageWidth = img_arr.shape[1] - return imageHeight, imageWidth - - def save( - self, - filename, - shapes, - imagePath, - imageHeight, - imageWidth, - imageData=None, - lineColor=None, - fillColor=None, - otherData=None, - flags=None, - ): - if imageData is not None: - imageData = base64.b64encode(imageData).decode('utf-8') - imageHeight, imageWidth = self._check_image_height_and_width( - imageData, imageHeight, imageWidth - ) - if otherData is None: - otherData = {} - if flags is None: - flags = {} - data = dict( - version=__version__, - flags=flags, - shapes=shapes, - lineColor=lineColor, - fillColor=fillColor, - imagePath=imagePath, - imageData=imageData, - imageHeight=imageHeight, - imageWidth=imageWidth, - ) - for key, value in otherData.items(): - data[key] = value - try: - with open(filename, 'wb' if PY2 else 'w') as f: - json.dump(data, f, ensure_ascii=False, indent=2) - self.filename = filename - except Exception as e: - raise LabelFileError(e) - - @staticmethod - def is_label_file(filename): - return osp.splitext(filename)[1].lower() == LabelFile.suffix diff --git a/DataAnnotation/labelme/labelme/logger.py b/DataAnnotation/labelme/labelme/logger.py deleted file mode 100644 index f826771d94d0c335e9445b1e7804caec0025683c..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/labelme/logger.py +++ /dev/null @@ -1,51 +0,0 @@ -import logging - -import termcolor - -from . import __appname__ - - -COLORS = { - 'WARNING': 'yellow', - 'INFO': 'white', - 'DEBUG': 'blue', - 'CRITICAL': 'red', - 'ERROR': 'red', -} - - -class ColoredFormatter(logging.Formatter): - - def __init__(self, msg, use_color=True): - logging.Formatter.__init__(self, msg) - self.use_color = use_color - - def format(self, record): - levelname = record.levelname - if self.use_color and levelname in COLORS: - colored_levelname = termcolor.colored( - '[{}]'.format(levelname), color=COLORS[levelname] - ) - record.levelname = colored_levelname - return logging.Formatter.format(self, record) - - -class ColoredLogger(logging.Logger): - - fmt_filename = termcolor.colored('%(filename)s', attrs={'bold': True}) - FORMAT = '%(levelname)s %(message)s ({}:%(lineno)d)'.format(fmt_filename) - - def __init__(self, name): - logging.Logger.__init__(self, name, logging.INFO) - - color_formatter = ColoredFormatter(self.FORMAT) - - console = logging.StreamHandler() - console.setFormatter(color_formatter) - - self.addHandler(console) - return - - -logging.setLoggerClass(ColoredLogger) -logger = logging.getLogger(__appname__) diff --git a/DataAnnotation/labelme/labelme/main.py b/DataAnnotation/labelme/labelme/main.py deleted file mode 100644 index caeb7d7f17f05f948bc37af6f6f692e46de6c766..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/labelme/main.py +++ /dev/null @@ -1,179 +0,0 @@ -import argparse -import codecs -import logging -import os -import sys -import yaml - -from qtpy import QtWidgets - -from labelme import __appname__ -from labelme import __version__ -from labelme.app import MainWindow -from labelme.config import get_config -from labelme.logger import logger -from labelme.utils import newIcon - - -def main(): - parser = argparse.ArgumentParser() - parser.add_argument( - '--version', '-V', action='store_true', help='show version' - ) - parser.add_argument( - '--reset-config', action='store_true', help='reset qt config' - ) - parser.add_argument( - '--logger-level', - default='info', - choices=['debug', 'info', 'warning', 'fatal', 'error'], - help='logger level', - ) - parser.add_argument('filename', nargs='?', help='image or label filename') - parser.add_argument( - '--output', - '-O', - '-o', - help='output file or directory (if it ends with .json it is ' - 'recognized as file, else as directory)' - ) - default_config_file = os.path.join(os.path.expanduser('~'), '.labelmerc') - parser.add_argument( - '--config', - dest='config_file', - help='config file (default: %s)' % default_config_file, - default=default_config_file, - ) - # config for the gui - parser.add_argument( - '--nodata', - dest='store_data', - action='store_false', - help='stop storing image data to JSON file', - default=argparse.SUPPRESS, - ) - parser.add_argument( - '--autosave', - dest='auto_save', - action='store_true', - help='auto save', - default=argparse.SUPPRESS, - ) - parser.add_argument( - '--nosortlabels', - dest='sort_labels', - action='store_false', - help='stop sorting labels', - default=argparse.SUPPRESS, - ) - parser.add_argument( - '--flags', - help='comma separated list of flags OR file containing flags', - default=argparse.SUPPRESS, - ) - parser.add_argument( - '--labelflags', - dest='label_flags', - help='yaml string of label specific flags OR file containing json ' - 'string of label specific flags (ex. {person-\d+: [male, tall], ' - 'dog-\d+: [black, brown, white], .*: [occluded]})', - default=argparse.SUPPRESS, - ) - parser.add_argument( - '--labels', - help='comma separated list of labels OR file containing labels', - default=argparse.SUPPRESS, - ) - parser.add_argument( - '--validatelabel', - dest='validate_label', - choices=['exact', 'instance'], - help='label validation types', - default=argparse.SUPPRESS, - ) - parser.add_argument( - '--keep-prev', - action='store_true', - help='keep annotation of previous frame', - default=argparse.SUPPRESS, - ) - parser.add_argument( - '--epsilon', - type=float, - help='epsilon to find nearest vertex on canvas', - default=argparse.SUPPRESS, - ) - args = parser.parse_args() - - if args.version: - print('{0} {1}'.format(__appname__, __version__)) - sys.exit(0) - - logger.setLevel(getattr(logging, args.logger_level.upper())) - - if hasattr(args, 'flags'): - if os.path.isfile(args.flags): - with codecs.open(args.flags, 'r', encoding='utf-8') as f: - args.flags = [l.strip() for l in f if l.strip()] - else: - args.flags = [l for l in args.flags.split(',') if l] - - if hasattr(args, 'labels'): - if os.path.isfile(args.labels): - with codecs.open(args.labels, 'r', encoding='utf-8') as f: - args.labels = [l.strip() for l in f if l.strip()] - else: - args.labels = [l for l in args.labels.split(',') if l] - - if hasattr(args, 'label_flags'): - if os.path.isfile(args.label_flags): - with codecs.open(args.label_flags, 'r', encoding='utf-8') as f: - args.label_flags = yaml.load(f) - else: - args.label_flags = yaml.load(args.label_flags) - - config_from_args = args.__dict__ - config_from_args.pop('version') - reset_config = config_from_args.pop('reset_config') - filename = config_from_args.pop('filename') - output = config_from_args.pop('output') - config_file = config_from_args.pop('config_file') - config = get_config(config_from_args, config_file) - - if not config['labels'] and config['validate_label']: - logger.error('--labels must be specified with --validatelabel or ' - 'validate_label: true in the config file ' - '(ex. ~/.labelmerc).') - sys.exit(1) - - output_file = None - output_dir = None - if output is not None: - if output.endswith('.json'): - output_file = output - else: - output_dir = output - - app = QtWidgets.QApplication(sys.argv) - app.setApplicationName(__appname__) - app.setWindowIcon(newIcon('icon')) - win = MainWindow( - config=config, - filename=filename, - output_file=output_file, - output_dir=output_dir, - ) - - if reset_config: - logger.info('Resetting Qt config: %s' % win.settings.fileName()) - win.settings.clear() - sys.exit(0) - - win.show() - win.raise_() - sys.exit(app.exec_()) - - -# this main block is required to generate executable by pyinstaller -if __name__ == '__main__': - main() diff --git a/DataAnnotation/labelme/labelme/shape.py b/DataAnnotation/labelme/labelme/shape.py deleted file mode 100644 index cfb0c08433edd05c9dd0168e0d3eaddb139080b3..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/labelme/shape.py +++ /dev/null @@ -1,253 +0,0 @@ -import copy -import math - -from qtpy import QtCore -from qtpy import QtGui - -import labelme.utils - - -# TODO(unknown): -# - [opt] Store paths instead of creating new ones at each paint. - - -DEFAULT_LINE_COLOR = QtGui.QColor(0, 255, 0, 128) -DEFAULT_FILL_COLOR = QtGui.QColor(255, 0, 0, 128) -DEFAULT_SELECT_LINE_COLOR = QtGui.QColor(255, 255, 255) -DEFAULT_SELECT_FILL_COLOR = QtGui.QColor(0, 128, 255, 155) -DEFAULT_VERTEX_FILL_COLOR = QtGui.QColor(0, 255, 0, 255) -DEFAULT_HVERTEX_FILL_COLOR = QtGui.QColor(255, 0, 0) - - -class Shape(object): - - P_SQUARE, P_ROUND = 0, 1 - - MOVE_VERTEX, NEAR_VERTEX = 0, 1 - - # The following class variables influence the drawing of all shape objects. - line_color = DEFAULT_LINE_COLOR - fill_color = DEFAULT_FILL_COLOR - select_line_color = DEFAULT_SELECT_LINE_COLOR - select_fill_color = DEFAULT_SELECT_FILL_COLOR - vertex_fill_color = DEFAULT_VERTEX_FILL_COLOR - hvertex_fill_color = DEFAULT_HVERTEX_FILL_COLOR - point_type = P_ROUND - point_size = 8 - scale = 1.0 - - def __init__(self, label=None, line_color=None, shape_type=None, - flags=None): - self.label = label - self.points = [] - self.fill = False - self.selected = False - self.shape_type = shape_type - self.flags = flags - - self._highlightIndex = None - self._highlightMode = self.NEAR_VERTEX - self._highlightSettings = { - self.NEAR_VERTEX: (4, self.P_ROUND), - self.MOVE_VERTEX: (1.5, self.P_SQUARE), - } - - self._closed = False - - if line_color is not None: - # Override the class line_color attribute - # with an object attribute. Currently this - # is used for drawing the pending line a different color. - self.line_color = line_color - - self.shape_type = shape_type - - @property - def shape_type(self): - return self._shape_type - - @shape_type.setter - def shape_type(self, value): - if value is None: - value = 'polygon' - if value not in ['polygon', 'rectangle', 'point', - 'line', 'circle', 'linestrip']: - raise ValueError('Unexpected shape_type: {}'.format(value)) - self._shape_type = value - - def close(self): - self._closed = True - - def addPoint(self, point): - if self.points and point == self.points[0]: - self.close() - else: - self.points.append(point) - - def popPoint(self): - if self.points: - return self.points.pop() - return None - - def insertPoint(self, i, point): - self.points.insert(i, point) - - def isClosed(self): - return self._closed - - def setOpen(self): - self._closed = False - - def getRectFromLine(self, pt1, pt2): - x1, y1 = pt1.x(), pt1.y() - x2, y2 = pt2.x(), pt2.y() - return QtCore.QRectF(x1, y1, x2 - x1, y2 - y1) - - def paint(self, painter): - if self.points: - color = self.select_line_color \ - if self.selected else self.line_color - pen = QtGui.QPen(color) - # Try using integer sizes for smoother drawing(?) - pen.setWidth(max(1, int(round(2.0 / self.scale)))) - painter.setPen(pen) - - line_path = QtGui.QPainterPath() - vrtx_path = QtGui.QPainterPath() - - if self.shape_type == 'rectangle': - assert len(self.points) in [1, 2] - if len(self.points) == 2: - rectangle = self.getRectFromLine(*self.points) - line_path.addRect(rectangle) - for i in range(len(self.points)): - self.drawVertex(vrtx_path, i) - elif self.shape_type == "circle": - assert len(self.points) in [1, 2] - if len(self.points) == 2: - rectangle = self.getCircleRectFromLine(self.points) - line_path.addEllipse(rectangle) - for i in range(len(self.points)): - self.drawVertex(vrtx_path, i) - elif self.shape_type == "linestrip": - line_path.moveTo(self.points[0]) - for i, p in enumerate(self.points): - line_path.lineTo(p) - self.drawVertex(vrtx_path, i) - else: - line_path.moveTo(self.points[0]) - # Uncommenting the following line will draw 2 paths - # for the 1st vertex, and make it non-filled, which - # may be desirable. - # self.drawVertex(vrtx_path, 0) - - for i, p in enumerate(self.points): - line_path.lineTo(p) - self.drawVertex(vrtx_path, i) - if self.isClosed(): - line_path.lineTo(self.points[0]) - - painter.drawPath(line_path) - painter.drawPath(vrtx_path) - painter.fillPath(vrtx_path, self.vertex_fill_color) - if self.fill: - color = self.select_fill_color \ - if self.selected else self.fill_color - painter.fillPath(line_path, color) - - def drawVertex(self, path, i): - d = self.point_size / self.scale - shape = self.point_type - point = self.points[i] - if i == self._highlightIndex: - size, shape = self._highlightSettings[self._highlightMode] - d *= size - if self._highlightIndex is not None: - self.vertex_fill_color = self.hvertex_fill_color - else: - self.vertex_fill_color = Shape.vertex_fill_color - if shape == self.P_SQUARE: - path.addRect(point.x() - d / 2, point.y() - d / 2, d, d) - elif shape == self.P_ROUND: - path.addEllipse(point, d / 2.0, d / 2.0) - else: - assert False, "unsupported vertex shape" - - def nearestVertex(self, point, epsilon): - min_distance = float('inf') - min_i = None - for i, p in enumerate(self.points): - dist = labelme.utils.distance(p - point) - if dist <= epsilon and dist < min_distance: - min_distance = dist - min_i = i - return min_i - - def nearestEdge(self, point, epsilon): - min_distance = float('inf') - post_i = None - for i in range(len(self.points)): - line = [self.points[i - 1], self.points[i]] - dist = labelme.utils.distancetoline(point, line) - if dist <= epsilon and dist < min_distance: - min_distance = dist - post_i = i - return post_i - - def containsPoint(self, point): - return self.makePath().contains(point) - - def getCircleRectFromLine(self, line): - """Computes parameters to draw with `QPainterPath::addEllipse`""" - if len(line) != 2: - return None - (c, point) = line - r = line[0] - line[1] - d = math.sqrt(math.pow(r.x(), 2) + math.pow(r.y(), 2)) - rectangle = QtCore.QRectF(c.x() - d, c.y() - d, 2 * d, 2 * d) - return rectangle - - def makePath(self): - if self.shape_type == 'rectangle': - path = QtGui.QPainterPath() - if len(self.points) == 2: - rectangle = self.getRectFromLine(*self.points) - path.addRect(rectangle) - elif self.shape_type == "circle": - path = QtGui.QPainterPath() - if len(self.points) == 2: - rectangle = self.getCircleRectFromLine(self.points) - path.addEllipse(rectangle) - else: - path = QtGui.QPainterPath(self.points[0]) - for p in self.points[1:]: - path.lineTo(p) - return path - - def boundingRect(self): - return self.makePath().boundingRect() - - def moveBy(self, offset): - self.points = [p + offset for p in self.points] - - def moveVertexBy(self, i, offset): - self.points[i] = self.points[i] + offset - - def highlightVertex(self, i, action): - self._highlightIndex = i - self._highlightMode = action - - def highlightClear(self): - self._highlightIndex = None - - def copy(self): - return copy.deepcopy(self) - - def __len__(self): - return len(self.points) - - def __getitem__(self, key): - return self.points[key] - - def __setitem__(self, key, value): - self.points[key] = value diff --git a/DataAnnotation/labelme/labelme/testing.py b/DataAnnotation/labelme/labelme/testing.py deleted file mode 100644 index 587298ec75f36b7077242d02e0758e6692a601e6..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/labelme/testing.py +++ /dev/null @@ -1,25 +0,0 @@ -import json -import os.path as osp - -import labelme.utils - - -def assert_labelfile_sanity(filename): - assert osp.exists(filename) - - data = json.load(open(filename)) - - assert 'imagePath' in data - imageData = data.get('imageData', None) - if imageData is None: - assert osp.exists(data['imagePath']) - img = labelme.utils.img_b64_to_arr(imageData) - - H, W = img.shape[:2] - assert 'shapes' in data - for shape in data['shapes']: - assert 'label' in shape - assert 'points' in shape - for x, y in shape['points']: - assert 0 <= x <= W - assert 0 <= y <= H diff --git a/DataAnnotation/labelme/labelme/utils/__init__.py b/DataAnnotation/labelme/labelme/utils/__init__.py deleted file mode 100644 index 4716101fe58142919ca4ede8c10fe1e2b5d40e2a..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/labelme/utils/__init__.py +++ /dev/null @@ -1,29 +0,0 @@ -# flake8: noqa - -from ._io import lblsave - -from .image import apply_exif_orientation -from .image import img_arr_to_b64 -from .image import img_b64_to_arr -from .image import img_data_to_png_data - -from .shape import labelme_shapes_to_label -from .shape import masks_to_bboxes -from .shape import polygons_to_mask -from .shape import shape_to_mask -from .shape import shapes_to_label - -from .draw import draw_instances -from .draw import draw_label -from .draw import label_colormap -from .draw import label2rgb - -from .qt import newIcon -from .qt import newButton -from .qt import newAction -from .qt import addActions -from .qt import labelValidator -from .qt import struct -from .qt import distance -from .qt import distancetoline -from .qt import fmtShortcut diff --git a/DataAnnotation/labelme/labelme/utils/_io.py b/DataAnnotation/labelme/labelme/utils/_io.py deleted file mode 100644 index 82550086a392d321286de6a81901ef7cc75d3b8f..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/labelme/utils/_io.py +++ /dev/null @@ -1,23 +0,0 @@ -import os.path as osp - -import numpy as np -import PIL.Image - -from labelme.utils.draw import label_colormap - - -def lblsave(filename, lbl): - if osp.splitext(filename)[1] != '.png': - filename += '.png' - # Assume label ranses [-1, 254] for int32, - # and [0, 255] for uint8 as VOC. - if lbl.min() >= -1 and lbl.max() < 255: - lbl_pil = PIL.Image.fromarray(lbl.astype(np.uint8), mode='P') - colormap = label_colormap(255) - lbl_pil.putpalette((colormap * 255).astype(np.uint8).flatten()) - lbl_pil.save(filename) - else: - raise ValueError( - '[%s] Cannot save the pixel-wise class label as PNG. ' - 'Please consider using the .npy format.' % filename - ) diff --git a/DataAnnotation/labelme/labelme/utils/draw.py b/DataAnnotation/labelme/labelme/utils/draw.py deleted file mode 100644 index bf529a515532a2bac86d5b713e013f2b8a2071fd..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/labelme/utils/draw.py +++ /dev/null @@ -1,157 +0,0 @@ -import io -import os.path as osp - -import numpy as np -import PIL.Image -import PIL.ImageDraw -import PIL.ImageFont - - -def label_colormap(N=256): - - def bitget(byteval, idx): - return ((byteval & (1 << idx)) != 0) - - cmap = np.zeros((N, 3)) - for i in range(0, N): - id = i - r, g, b = 0, 0, 0 - for j in range(0, 8): - r = np.bitwise_or(r, (bitget(id, 0) << 7 - j)) - g = np.bitwise_or(g, (bitget(id, 1) << 7 - j)) - b = np.bitwise_or(b, (bitget(id, 2) << 7 - j)) - id = (id >> 3) - cmap[i, 0] = r - cmap[i, 1] = g - cmap[i, 2] = b - cmap = cmap.astype(np.float32) / 255 - return cmap - - -def _validate_colormap(colormap, n_labels): - if colormap is None: - colormap = label_colormap(n_labels) - else: - assert colormap.shape == (colormap.shape[0], 3), \ - 'colormap must be sequence of RGB values' - assert 0 <= colormap.min() and colormap.max() <= 1, \ - 'colormap must ranges 0 to 1' - return colormap - - -# similar function as skimage.color.label2rgb -def label2rgb( - lbl, img=None, n_labels=None, alpha=0.5, thresh_suppress=0, colormap=None, -): - if n_labels is None: - n_labels = len(np.unique(lbl)) - - colormap = _validate_colormap(colormap, n_labels) - colormap = (colormap * 255).astype(np.uint8) - - lbl_viz = colormap[lbl] - lbl_viz[lbl == -1] = (0, 0, 0) # unlabeled - - if img is not None: - img_gray = PIL.Image.fromarray(img).convert('LA') - img_gray = np.asarray(img_gray.convert('RGB')) - # img_gray = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY) - # img_gray = cv2.cvtColor(img_gray, cv2.COLOR_GRAY2RGB) - lbl_viz = alpha * lbl_viz + (1 - alpha) * img_gray - lbl_viz = lbl_viz.astype(np.uint8) - - return lbl_viz - - -def draw_label(label, img=None, label_names=None, colormap=None, **kwargs): - """Draw pixel-wise label with colorization and label names. - - label: ndarray, (H, W) - Pixel-wise labels to colorize. - img: ndarray, (H, W, 3), optional - Image on which the colorized label will be drawn. - label_names: iterable - List of label names. - """ - import matplotlib.pyplot as plt - - backend_org = plt.rcParams['backend'] - plt.switch_backend('agg') - - plt.subplots_adjust(left=0, right=1, top=1, bottom=0, - wspace=0, hspace=0) - plt.margins(0, 0) - plt.gca().xaxis.set_major_locator(plt.NullLocator()) - plt.gca().yaxis.set_major_locator(plt.NullLocator()) - - if label_names is None: - label_names = [str(l) for l in range(label.max() + 1)] - - colormap = _validate_colormap(colormap, len(label_names)) - - label_viz = label2rgb( - label, img, n_labels=len(label_names), colormap=colormap, **kwargs - ) - plt.imshow(label_viz) - plt.axis('off') - - plt_handlers = [] - plt_titles = [] - for label_value, label_name in enumerate(label_names): - if label_value not in label: - continue - fc = colormap[label_value] - p = plt.Rectangle((0, 0), 1, 1, fc=fc) - plt_handlers.append(p) - plt_titles.append('{value}: {name}' - .format(value=label_value, name=label_name)) - plt.legend(plt_handlers, plt_titles, loc='lower right', framealpha=.5) - - f = io.BytesIO() - plt.savefig(f, bbox_inches='tight', pad_inches=0) - plt.cla() - plt.close() - - plt.switch_backend(backend_org) - - out_size = (label_viz.shape[1], label_viz.shape[0]) - out = PIL.Image.open(f).resize(out_size, PIL.Image.BILINEAR).convert('RGB') - out = np.asarray(out) - return out - - -def draw_instances( - image=None, - bboxes=None, - labels=None, - masks=None, - captions=None, -): - import matplotlib - - # TODO(wkentaro) - assert image is not None - assert bboxes is not None - assert labels is not None - assert masks is None - assert captions is not None - - viz = PIL.Image.fromarray(image) - draw = PIL.ImageDraw.ImageDraw(viz) - - font_path = osp.join( - osp.dirname(matplotlib.__file__), - 'mpl-data/fonts/ttf/DejaVuSans.ttf' - ) - font = PIL.ImageFont.truetype(font_path) - - colormap = label_colormap(255) - for bbox, label, caption in zip(bboxes, labels, captions): - color = colormap[label] - color = tuple((color * 255).astype(np.uint8).tolist()) - - xmin, ymin, xmax, ymax = bbox - draw.rectangle((xmin, ymin, xmax, ymax), outline=color) - draw.text((xmin, ymin), caption, font=font) - - return np.asarray(viz) diff --git a/DataAnnotation/labelme/labelme/utils/image.py b/DataAnnotation/labelme/labelme/utils/image.py deleted file mode 100644 index ab7e45dd303cd48d4ccfe43844ce387a48a0cb4b..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/labelme/utils/image.py +++ /dev/null @@ -1,82 +0,0 @@ -import base64 -import io - -import numpy as np -import PIL.ExifTags -import PIL.Image -import PIL.ImageOps - - -def img_b64_to_arr(img_b64): - f = io.BytesIO() - f.write(base64.b64decode(img_b64)) - img_arr = np.array(PIL.Image.open(f)) - return img_arr - - -def img_arr_to_b64(img_arr): - img_pil = PIL.Image.fromarray(img_arr) - f = io.BytesIO() - img_pil.save(f, format='PNG') - img_bin = f.getvalue() - if hasattr(base64, 'encodebytes'): - img_b64 = base64.encodebytes(img_bin) - else: - img_b64 = base64.encodestring(img_bin) - return img_b64 - - -def img_data_to_png_data(img_data): - with io.BytesIO() as f: - f.write(img_data) - img = PIL.Image.open(f) - - with io.BytesIO() as f: - img.save(f, 'PNG') - f.seek(0) - return f.read() - - -def apply_exif_orientation(image): - try: - exif = image._getexif() - except AttributeError: - exif = None - - if exif is None: - return image - - exif = { - PIL.ExifTags.TAGS[k]: v - for k, v in exif.items() - if k in PIL.ExifTags.TAGS - } - - orientation = exif.get('Orientation', None) - - if orientation == 1: - # do nothing - return image - elif orientation == 2: - # left-to-right mirror - return PIL.ImageOps.mirror(image) - elif orientation == 3: - # rotate 180 - return image.transpose(PIL.Image.ROTATE_180) - elif orientation == 4: - # top-to-bottom mirror - return PIL.ImageOps.flip(image) - elif orientation == 5: - # top-to-left mirror - return PIL.ImageOps.mirror(image.transpose(PIL.Image.ROTATE_270)) - elif orientation == 6: - # rotate 270 - return image.transpose(PIL.Image.ROTATE_270) - elif orientation == 7: - # top-to-right mirror - return PIL.ImageOps.mirror(image.transpose(PIL.Image.ROTATE_90)) - elif orientation == 8: - # rotate 90 - return image.transpose(PIL.Image.ROTATE_90) - else: - return image diff --git a/DataAnnotation/labelme/labelme/utils/qt.py b/DataAnnotation/labelme/labelme/utils/qt.py deleted file mode 100644 index a7f7344f8013572cfa4e029196cedabb35b6989d..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/labelme/utils/qt.py +++ /dev/null @@ -1,88 +0,0 @@ -from math import sqrt -import os.path as osp - -import numpy as np - -from qtpy import QtCore -from qtpy import QtGui -from qtpy import QtWidgets - - -here = osp.dirname(osp.abspath(__file__)) - - -def newIcon(icon): - icons_dir = osp.join(here, '../icons') - return QtGui.QIcon(osp.join(':/', icons_dir, '%s.png' % icon)) - - -def newButton(text, icon=None, slot=None): - b = QtWidgets.QPushButton(text) - if icon is not None: - b.setIcon(newIcon(icon)) - if slot is not None: - b.clicked.connect(slot) - return b - - -def newAction(parent, text, slot=None, shortcut=None, icon=None, - tip=None, checkable=False, enabled=True): - """Create a new action and assign callbacks, shortcuts, etc.""" - a = QtWidgets.QAction(text, parent) - if icon is not None: - a.setIconText(text.replace(' ', '\n')) - a.setIcon(newIcon(icon)) - if shortcut is not None: - if isinstance(shortcut, (list, tuple)): - a.setShortcuts(shortcut) - else: - a.setShortcut(shortcut) - if tip is not None: - a.setToolTip(tip) - a.setStatusTip(tip) - if slot is not None: - a.triggered.connect(slot) - if checkable: - a.setCheckable(True) - a.setEnabled(enabled) - return a - - -def addActions(widget, actions): - for action in actions: - if action is None: - widget.addSeparator() - elif isinstance(action, QtWidgets.QMenu): - widget.addMenu(action) - else: - widget.addAction(action) - - -def labelValidator(): - return QtGui.QRegExpValidator(QtCore.QRegExp(r'^[^ \t].+'), None) - - -class struct(object): - def __init__(self, **kwargs): - self.__dict__.update(kwargs) - - -def distance(p): - return sqrt(p.x() * p.x() + p.y() * p.y()) - - -def distancetoline(point, line): - p1, p2 = line - p1 = np.array([p1.x(), p1.y()]) - p2 = np.array([p2.x(), p2.y()]) - p3 = np.array([point.x(), point.y()]) - if np.dot((p3 - p1), (p2 - p1)) < 0: - return np.linalg.norm(p3 - p1) - if np.dot((p3 - p2), (p1 - p2)) < 0: - return np.linalg.norm(p3 - p2) - return np.linalg.norm(np.cross(p2 - p1, p1 - p3)) / np.linalg.norm(p2 - p1) - - -def fmtShortcut(text): - mod, key = text.split('+', 1) - return '%s+%s' % (mod, key) diff --git a/DataAnnotation/labelme/labelme/utils/shape.py b/DataAnnotation/labelme/labelme/utils/shape.py deleted file mode 100644 index bd5cbfe0980e3885c9a462292e20868a85f836ec..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/labelme/utils/shape.py +++ /dev/null @@ -1,112 +0,0 @@ -import math - -import numpy as np -import PIL.Image -import PIL.ImageDraw - -from labelme.logger import logger - - -def polygons_to_mask(img_shape, polygons, shape_type=None): - logger.warning( - "The 'polygons_to_mask' function is deprecated, " - "use 'shape_to_mask' instead." - ) - return shape_to_mask(img_shape, points=polygons, shape_type=shape_type) - - -def shape_to_mask(img_shape, points, shape_type=None, - line_width=10, point_size=5): - mask = np.zeros(img_shape[:2], dtype=np.uint8) - mask = PIL.Image.fromarray(mask) - draw = PIL.ImageDraw.Draw(mask) - xy = [tuple(point) for point in points] - if shape_type == 'circle': - assert len(xy) == 2, 'Shape of shape_type=circle must have 2 points' - (cx, cy), (px, py) = xy - d = math.sqrt((cx - px) ** 2 + (cy - py) ** 2) - draw.ellipse([cx - d, cy - d, cx + d, cy + d], outline=1, fill=1) - elif shape_type == 'rectangle': - assert len(xy) == 2, 'Shape of shape_type=rectangle must have 2 points' - draw.rectangle(xy, outline=1, fill=1) - elif shape_type == 'line': - assert len(xy) == 2, 'Shape of shape_type=line must have 2 points' - draw.line(xy=xy, fill=1, width=line_width) - elif shape_type == 'linestrip': - draw.line(xy=xy, fill=1, width=line_width) - elif shape_type == 'point': - assert len(xy) == 1, 'Shape of shape_type=point must have 1 points' - cx, cy = xy[0] - r = point_size - draw.ellipse([cx - r, cy - r, cx + r, cy + r], outline=1, fill=1) - else: - assert len(xy) > 2, 'Polygon must have points more than 2' - draw.polygon(xy=xy, outline=1, fill=1) - mask = np.array(mask, dtype=bool) - return mask - - -def shapes_to_label(img_shape, shapes, label_name_to_value, type='class'): - assert type in ['class', 'instance'] - - cls = np.zeros(img_shape[:2], dtype=np.int32) - if type == 'instance': - ins = np.zeros(img_shape[:2], dtype=np.int32) - instance_names = ['_background_'] - for shape in shapes: - points = shape['points'] - label = shape['label'] - shape_type = shape.get('shape_type', None) - if type == 'class': - cls_name = label - elif type == 'instance': - cls_name = label.split('-')[0] - if label not in instance_names: - instance_names.append(label) - ins_id = instance_names.index(label) - cls_id = label_name_to_value[cls_name] - mask = shape_to_mask(img_shape[:2], points, shape_type) - cls[mask] = cls_id - if type == 'instance': - ins[mask] = ins_id - - if type == 'instance': - return cls, ins - return cls - - -def labelme_shapes_to_label(img_shape, shapes): - logger.warn('labelme_shapes_to_label is deprecated, so please use ' - 'shapes_to_label.') - - label_name_to_value = {'_background_': 0} - for shape in shapes: - label_name = shape['label'] - if label_name in label_name_to_value: - label_value = label_name_to_value[label_name] - else: - label_value = len(label_name_to_value) - label_name_to_value[label_name] = label_value - - lbl = shapes_to_label(img_shape, shapes, label_name_to_value) - return lbl, label_name_to_value - - -def masks_to_bboxes(masks): - if masks.ndim != 3: - raise ValueError( - 'masks.ndim must be 3, but it is {}' - .format(masks.ndim) - ) - if masks.dtype != bool: - raise ValueError( - 'masks.dtype must be bool type, but it is {}' - .format(masks.dtype) - ) - bboxes = [] - for mask in masks: - where = np.argwhere(mask) - (y1, x1), (y2, x2) = where.min(0), where.max(0) + 1 - bboxes.append((y1, x1, y2, x2)) - bboxes = np.asarray(bboxes, dtype=np.float32) - return bboxes diff --git a/DataAnnotation/labelme/labelme/widgets/__init__.py b/DataAnnotation/labelme/labelme/widgets/__init__.py deleted file mode 100644 index b279e94cff83b075024955b7cf38eb6760c2ed6a..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/labelme/widgets/__init__.py +++ /dev/null @@ -1,16 +0,0 @@ -# flake8: noqa - -from .canvas import Canvas - -from .color_dialog import ColorDialog - -from .escapable_qlist_widget import EscapableQListWidget - -from .label_dialog import LabelDialog -from .label_dialog import LabelQLineEdit - -from .label_qlist_widget import LabelQListWidget - -from .tool_bar import ToolBar - -from .zoom_widget import ZoomWidget diff --git a/DataAnnotation/labelme/labelme/widgets/canvas.py b/DataAnnotation/labelme/labelme/widgets/canvas.py deleted file mode 100644 index b8fb9d4186d2e73dfe37190acd1e215f210275f0..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/labelme/widgets/canvas.py +++ /dev/null @@ -1,713 +0,0 @@ -from qtpy import QtCore -from qtpy import QtGui -from qtpy import QtWidgets - -from labelme import QT5 -from labelme.shape import Shape -import labelme.utils - - -# TODO(unknown): -# - [maybe] Find optimal epsilon value. - - -CURSOR_DEFAULT = QtCore.Qt.ArrowCursor -CURSOR_POINT = QtCore.Qt.PointingHandCursor -CURSOR_DRAW = QtCore.Qt.CrossCursor -CURSOR_MOVE = QtCore.Qt.ClosedHandCursor -CURSOR_GRAB = QtCore.Qt.OpenHandCursor - - -class Canvas(QtWidgets.QWidget): - - zoomRequest = QtCore.Signal(int, QtCore.QPoint) - scrollRequest = QtCore.Signal(int, int) - newShape = QtCore.Signal() - selectionChanged = QtCore.Signal(list) - shapeMoved = QtCore.Signal() - drawingPolygon = QtCore.Signal(bool) - edgeSelected = QtCore.Signal(bool) - - CREATE, EDIT = 0, 1 - - # polygon, rectangle, line, or point - _createMode = 'polygon' - - _fill_drawing = False - - def __init__(self, *args, **kwargs): - self.epsilon = kwargs.pop('epsilon', 10.0) - super(Canvas, self).__init__(*args, **kwargs) - # Initialise local state. - self.mode = self.EDIT - self.shapes = [] - self.shapesBackups = [] - self.current = None - self.selectedShapes = [] # save the selected shapes here - self.selectedShapesCopy = [] - self.lineColor = QtGui.QColor(0, 0, 255) - # self.line represents: - # - createMode == 'polygon': edge from last point to current - # - createMode == 'rectangle': diagonal line of the rectangle - # - createMode == 'line': the line - # - createMode == 'point': the point - self.line = Shape(line_color=self.lineColor) - self.prevPoint = QtCore.QPoint() - self.prevMovePoint = QtCore.QPoint() - self.offsets = QtCore.QPoint(), QtCore.QPoint() - self.scale = 1.0 - self.pixmap = QtGui.QPixmap() - self.visible = {} - self._hideBackround = False - self.hideBackround = False - self.hShape = None - self.hVertex = None - self.hEdge = None - self.movingShape = False - self._painter = QtGui.QPainter() - self._cursor = CURSOR_DEFAULT - # Menus: - # 0: right-click without selection and dragging of shapes - # 1: right-click with selection and dragging of shapes - self.menus = (QtWidgets.QMenu(), QtWidgets.QMenu()) - # Set widget options. - self.setMouseTracking(True) - self.setFocusPolicy(QtCore.Qt.WheelFocus) - - def fillDrawing(self): - return self._fill_drawing - - def setFillDrawing(self, value): - self._fill_drawing = value - - @property - def createMode(self): - return self._createMode - - @createMode.setter - def createMode(self, value): - if value not in ['polygon', 'rectangle', 'circle', - 'line', 'point', 'linestrip']: - raise ValueError('Unsupported createMode: %s' % value) - self._createMode = value - - def storeShapes(self): - shapesBackup = [] - for shape in self.shapes: - shapesBackup.append(shape.copy()) - if len(self.shapesBackups) >= 10: - self.shapesBackups = self.shapesBackups[-9:] - self.shapesBackups.append(shapesBackup) - - @property - def isShapeRestorable(self): - if len(self.shapesBackups) < 2: - return False - return True - - def restoreShape(self): - if not self.isShapeRestorable: - return - self.shapesBackups.pop() # latest - shapesBackup = self.shapesBackups.pop() - self.shapes = shapesBackup - self.selectedShapes = [] - for shape in self.shapes: - shape.selected = False - self.repaint() - - def enterEvent(self, ev): - self.overrideCursor(self._cursor) - - def leaveEvent(self, ev): - self.restoreCursor() - - def focusOutEvent(self, ev): - self.restoreCursor() - - def isVisible(self, shape): - return self.visible.get(shape, True) - - def drawing(self): - return self.mode == self.CREATE - - def editing(self): - return self.mode == self.EDIT - - def setEditing(self, value=True): - self.mode = self.EDIT if value else self.CREATE - if not value: # Create - self.unHighlight() - self.deSelectShape() - - def unHighlight(self): - if self.hShape: - self.hShape.highlightClear() - self.hVertex = self.hShape = None - - def selectedVertex(self): - return self.hVertex is not None - - def mouseMoveEvent(self, ev): - """Update line with last point and current coordinates.""" - try: - if QT5: - pos = self.transformPos(ev.localPos()) - else: - pos = self.transformPos(ev.posF()) - except AttributeError: - return - - self.prevMovePoint = pos - self.restoreCursor() - - # Polygon drawing. - if self.drawing(): - self.line.shape_type = self.createMode - - self.overrideCursor(CURSOR_DRAW) - if not self.current: - return - - color = self.lineColor - if self.outOfPixmap(pos): - # Don't allow the user to draw outside the pixmap. - # Project the point to the pixmap's edges. - pos = self.intersectionPoint(self.current[-1], pos) - elif len(self.current) > 1 and self.createMode == 'polygon' and\ - self.closeEnough(pos, self.current[0]): - # Attract line to starting point and - # colorise to alert the user. - pos = self.current[0] - color = self.current.line_color - self.overrideCursor(CURSOR_POINT) - self.current.highlightVertex(0, Shape.NEAR_VERTEX) - if self.createMode in ['polygon', 'linestrip']: - self.line[0] = self.current[-1] - self.line[1] = pos - elif self.createMode == 'rectangle': - self.line.points = [self.current[0], pos] - self.line.close() - elif self.createMode == 'circle': - self.line.points = [self.current[0], pos] - self.line.shape_type = "circle" - elif self.createMode == 'line': - self.line.points = [self.current[0], pos] - self.line.close() - elif self.createMode == 'point': - self.line.points = [self.current[0]] - self.line.close() - self.line.line_color = color - self.repaint() - self.current.highlightClear() - return - - # Polygon copy moving. - if QtCore.Qt.RightButton & ev.buttons(): - if self.selectedShapesCopy and self.prevPoint: - self.overrideCursor(CURSOR_MOVE) - self.boundedMoveShapes(self.selectedShapesCopy, pos) - self.repaint() - elif self.selectedShapes: - self.selectedShapesCopy = \ - [s.copy() for s in self.selectedShapes] - self.repaint() - return - - # Polygon/Vertex moving. - self.movingShape = False - if QtCore.Qt.LeftButton & ev.buttons(): - if self.selectedVertex(): - self.boundedMoveVertex(pos) - self.repaint() - self.movingShape = True - elif self.selectedShapes and self.prevPoint: - self.overrideCursor(CURSOR_MOVE) - self.boundedMoveShapes(self.selectedShapes, pos) - self.repaint() - self.movingShape = True - return - - # Just hovering over the canvas, 2 posibilities: - # - Highlight shapes - # - Highlight vertex - # Update shape/vertex fill and tooltip value accordingly. - self.setToolTip("Image") - for shape in reversed([s for s in self.shapes if self.isVisible(s)]): - # Look for a nearby vertex to highlight. If that fails, - # check if we happen to be inside a shape. - index = shape.nearestVertex(pos, self.epsilon / self.scale) - index_edge = shape.nearestEdge(pos, self.epsilon / self.scale) - if index is not None: - if self.selectedVertex(): - self.hShape.highlightClear() - self.hVertex = index - self.hShape = shape - self.hEdge = index_edge - shape.highlightVertex(index, shape.MOVE_VERTEX) - self.overrideCursor(CURSOR_POINT) - self.setToolTip("Click & drag to move point") - self.setStatusTip(self.toolTip()) - self.update() - break - elif shape.containsPoint(pos): - if self.selectedVertex(): - self.hShape.highlightClear() - self.hVertex = None - self.hShape = shape - self.hEdge = index_edge - self.setToolTip( - "Click & drag to move shape '%s'" % shape.label) - self.setStatusTip(self.toolTip()) - self.overrideCursor(CURSOR_GRAB) - self.update() - break - else: # Nothing found, clear highlights, reset state. - if self.hShape: - self.hShape.highlightClear() - self.update() - self.hVertex, self.hShape, self.hEdge = None, None, None - self.edgeSelected.emit(self.hEdge is not None) - - def addPointToEdge(self): - if (self.hShape is None and - self.hEdge is None and - self.prevMovePoint is None): - return - shape = self.hShape - index = self.hEdge - point = self.prevMovePoint - shape.insertPoint(index, point) - shape.highlightVertex(index, shape.MOVE_VERTEX) - self.hShape = shape - self.hVertex = index - self.hEdge = None - - def mousePressEvent(self, ev): - if QT5: - pos = self.transformPos(ev.localPos()) - else: - pos = self.transformPos(ev.posF()) - if ev.button() == QtCore.Qt.LeftButton: - if self.drawing(): - if self.current: - # Add point to existing shape. - if self.createMode == 'polygon': - self.current.addPoint(self.line[1]) - self.line[0] = self.current[-1] - if self.current.isClosed(): - self.finalise() - elif self.createMode in ['rectangle', 'circle', 'line']: - assert len(self.current.points) == 1 - self.current.points = self.line.points - self.finalise() - elif self.createMode == 'linestrip': - self.current.addPoint(self.line[1]) - self.line[0] = self.current[-1] - if int(ev.modifiers()) == QtCore.Qt.ControlModifier: - self.finalise() - elif not self.outOfPixmap(pos): - # Create new shape. - self.current = Shape(shape_type=self.createMode) - self.current.addPoint(pos) - if self.createMode == 'point': - self.finalise() - else: - if self.createMode == 'circle': - self.current.shape_type = 'circle' - self.line.points = [pos, pos] - self.setHiding() - self.drawingPolygon.emit(True) - self.update() - else: - group_mode = (int(ev.modifiers()) == QtCore.Qt.ControlModifier) - self.selectShapePoint(pos, multiple_selection_mode=group_mode) - self.prevPoint = pos - self.repaint() - elif ev.button() == QtCore.Qt.RightButton and self.editing(): - group_mode = (int(ev.modifiers()) == QtCore.Qt.ControlModifier) - self.selectShapePoint(pos, multiple_selection_mode=group_mode) - self.prevPoint = pos - self.repaint() - - def mouseReleaseEvent(self, ev): - if ev.button() == QtCore.Qt.RightButton: - menu = self.menus[len(self.selectedShapesCopy) > 0] - self.restoreCursor() - if not menu.exec_(self.mapToGlobal(ev.pos())) \ - and self.selectedShapesCopy: - # Cancel the move by deleting the shadow copy. - self.selectedShapesCopy = [] - self.repaint() - elif ev.button() == QtCore.Qt.LeftButton and self.selectedShapes: - self.overrideCursor(CURSOR_GRAB) - if self.movingShape: - self.storeShapes() - self.shapeMoved.emit() - - def endMove(self, copy): - assert self.selectedShapes and self.selectedShapesCopy - assert len(self.selectedShapesCopy) == len(self.selectedShapes) - # del shape.fill_color - # del shape.line_color - if copy: - for i, shape in enumerate(self.selectedShapesCopy): - self.shapes.append(shape) - self.selectedShapes[i].selected = False - self.selectedShapes[i] = shape - else: - for i, shape in enumerate(self.selectedShapesCopy): - self.selectedShapes[i].points = shape.points - self.selectedShapesCopy = [] - self.repaint() - self.storeShapes() - return True - - def hideBackroundShapes(self, value): - self.hideBackround = value - if self.selectedShapes: - # Only hide other shapes if there is a current selection. - # Otherwise the user will not be able to select a shape. - self.setHiding(True) - self.repaint() - - def setHiding(self, enable=True): - self._hideBackround = self.hideBackround if enable else False - - def canCloseShape(self): - return self.drawing() and self.current and len(self.current) > 2 - - def mouseDoubleClickEvent(self, ev): - # We need at least 4 points here, since the mousePress handler - # adds an extra one before this handler is called. - if self.canCloseShape() and len(self.current) > 3: - self.current.popPoint() - self.finalise() - - def selectShapes(self, shapes): - self.setHiding() - self.selectionChanged.emit(shapes) - self.update() - - def selectShapePoint(self, point, multiple_selection_mode): - """Select the first shape created which contains this point.""" - if self.selectedVertex(): # A vertex is marked for selection. - index, shape = self.hVertex, self.hShape - shape.highlightVertex(index, shape.MOVE_VERTEX) - else: - for shape in reversed(self.shapes): - if self.isVisible(shape) and shape.containsPoint(point): - self.calculateOffsets(shape, point) - self.setHiding() - if multiple_selection_mode: - if shape not in self.selectedShapes: - self.selectionChanged.emit( - self.selectedShapes + [shape]) - else: - self.selectionChanged.emit([shape]) - return - self.deSelectShape() - - def calculateOffsets(self, shape, point): - rect = shape.boundingRect() - x1 = rect.x() - point.x() - y1 = rect.y() - point.y() - x2 = (rect.x() + rect.width() - 1) - point.x() - y2 = (rect.y() + rect.height() - 1) - point.y() - self.offsets = QtCore.QPoint(x1, y1), QtCore.QPoint(x2, y2) - - def boundedMoveVertex(self, pos): - index, shape = self.hVertex, self.hShape - point = shape[index] - if self.outOfPixmap(pos): - pos = self.intersectionPoint(point, pos) - shape.moveVertexBy(index, pos - point) - - def boundedMoveShapes(self, shapes, pos): - if self.outOfPixmap(pos): - return False # No need to move - o1 = pos + self.offsets[0] - if self.outOfPixmap(o1): - pos -= QtCore.QPoint(min(0, o1.x()), min(0, o1.y())) - o2 = pos + self.offsets[1] - if self.outOfPixmap(o2): - pos += QtCore.QPoint(min(0, self.pixmap.width() - o2.x()), - min(0, self.pixmap.height() - o2.y())) - # XXX: The next line tracks the new position of the cursor - # relative to the shape, but also results in making it - # a bit "shaky" when nearing the border and allows it to - # go outside of the shape's area for some reason. - # self.calculateOffsets(self.selectedShapes, pos) - dp = pos - self.prevPoint - if dp: - for shape in shapes: - shape.moveBy(dp) - self.prevPoint = pos - return True - return False - - def deSelectShape(self): - if self.selectedShapes: - self.setHiding(False) - self.selectionChanged.emit([]) - self.update() - - def deleteSelected(self): - deleted_shapes = [] - if self.selectedShapes: - for shape in self.selectedShapes: - self.shapes.remove(shape) - deleted_shapes.append(shape) - self.storeShapes() - self.selectedShapes = [] - self.update() - return deleted_shapes - - def copySelectedShapes(self): - if self.selectedShapes: - self.selectedShapesCopy = [s.copy() for s in self.selectedShapes] - self.boundedShiftShapes(self.selectedShapesCopy) - self.endMove(copy=True) - return self.selectedShapes - - def boundedShiftShapes(self, shapes): - # Try to move in one direction, and if it fails in another. - # Give up if both fail. - point = shapes[0][0] - offset = QtCore.QPoint(2.0, 2.0) - self.offsets = QtCore.QPoint(), QtCore.QPoint() - self.prevPoint = point - if not self.boundedMoveShapes(shapes, point - offset): - self.boundedMoveShapes(shapes, point + offset) - - def paintEvent(self, event): - if not self.pixmap: - return super(Canvas, self).paintEvent(event) - - p = self._painter - p.begin(self) - p.setRenderHint(QtGui.QPainter.Antialiasing) - p.setRenderHint(QtGui.QPainter.HighQualityAntialiasing) - p.setRenderHint(QtGui.QPainter.SmoothPixmapTransform) - - p.scale(self.scale, self.scale) - p.translate(self.offsetToCenter()) - - p.drawPixmap(0, 0, self.pixmap) - Shape.scale = self.scale - for shape in self.shapes: - if (shape.selected or not self._hideBackround) and \ - self.isVisible(shape): - shape.fill = shape.selected or shape == self.hShape - shape.paint(p) - if self.current: - self.current.paint(p) - self.line.paint(p) - if self.selectedShapesCopy: - for s in self.selectedShapesCopy: - s.paint(p) - - if (self.fillDrawing() and self.createMode == 'polygon' and - self.current is not None and len(self.current.points) >= 2): - drawing_shape = self.current.copy() - drawing_shape.addPoint(self.line[1]) - drawing_shape.fill = True - drawing_shape.fill_color.setAlpha(64) - drawing_shape.paint(p) - - p.end() - - def transformPos(self, point): - """Convert from widget-logical coordinates to painter-logical ones.""" - return point / self.scale - self.offsetToCenter() - - def offsetToCenter(self): - s = self.scale - area = super(Canvas, self).size() - w, h = self.pixmap.width() * s, self.pixmap.height() * s - aw, ah = area.width(), area.height() - x = (aw - w) / (2 * s) if aw > w else 0 - y = (ah - h) / (2 * s) if ah > h else 0 - return QtCore.QPoint(x, y) - - def outOfPixmap(self, p): - w, h = self.pixmap.width(), self.pixmap.height() - return not (0 <= p.x() <= w - 1 and 0 <= p.y() <= h - 1) - - def finalise(self): - assert self.current - self.current.close() - self.shapes.append(self.current) - self.storeShapes() - self.current = None - self.setHiding(False) - self.newShape.emit() - self.update() - - def closeEnough(self, p1, p2): - # d = distance(p1 - p2) - # m = (p1-p2).manhattanLength() - # print "d %.2f, m %d, %.2f" % (d, m, d - m) - # divide by scale to allow more precision when zoomed in - return labelme.utils.distance(p1 - p2) < (self.epsilon / self.scale) - - def intersectionPoint(self, p1, p2): - # Cycle through each image edge in clockwise fashion, - # and find the one intersecting the current line segment. - # http://paulbourke.net/geometry/lineline2d/ - size = self.pixmap.size() - points = [(0, 0), - (size.width() - 1, 0), - (size.width() - 1, size.height() - 1), - (0, size.height() - 1)] - x1, y1 = p1.x(), p1.y() - x2, y2 = p2.x(), p2.y() - d, i, (x, y) = min(self.intersectingEdges((x1, y1), (x2, y2), points)) - x3, y3 = points[i] - x4, y4 = points[(i + 1) % 4] - if (x, y) == (x1, y1): - # Handle cases where previous point is on one of the edges. - if x3 == x4: - return QtCore.QPoint(x3, min(max(0, y2), max(y3, y4))) - else: # y3 == y4 - return QtCore.QPoint(min(max(0, x2), max(x3, x4)), y3) - return QtCore.QPoint(x, y) - - def intersectingEdges(self, point1, point2, points): - """Find intersecting edges. - - For each edge formed by `points', yield the intersection - with the line segment `(x1,y1) - (x2,y2)`, if it exists. - Also return the distance of `(x2,y2)' to the middle of the - edge along with its index, so that the one closest can be chosen. - """ - (x1, y1) = point1 - (x2, y2) = point2 - for i in range(4): - x3, y3 = points[i] - x4, y4 = points[(i + 1) % 4] - denom = (y4 - y3) * (x2 - x1) - (x4 - x3) * (y2 - y1) - nua = (x4 - x3) * (y1 - y3) - (y4 - y3) * (x1 - x3) - nub = (x2 - x1) * (y1 - y3) - (y2 - y1) * (x1 - x3) - if denom == 0: - # This covers two cases: - # nua == nub == 0: Coincident - # otherwise: Parallel - continue - ua, ub = nua / denom, nub / denom - if 0 <= ua <= 1 and 0 <= ub <= 1: - x = x1 + ua * (x2 - x1) - y = y1 + ua * (y2 - y1) - m = QtCore.QPoint((x3 + x4) / 2, (y3 + y4) / 2) - d = labelme.utils.distance(m - QtCore.QPoint(x2, y2)) - yield d, i, (x, y) - - # These two, along with a call to adjustSize are required for the - # scroll area. - def sizeHint(self): - return self.minimumSizeHint() - - def minimumSizeHint(self): - if self.pixmap: - return self.scale * self.pixmap.size() - return super(Canvas, self).minimumSizeHint() - - def wheelEvent(self, ev): - if QT5: - mods = ev.modifiers() - delta = ev.angleDelta() - if QtCore.Qt.ControlModifier == int(mods): - # with Ctrl/Command key - # zoom - self.zoomRequest.emit(delta.y(), ev.pos()) - else: - # scroll - self.scrollRequest.emit(delta.x(), QtCore.Qt.Horizontal) - self.scrollRequest.emit(delta.y(), QtCore.Qt.Vertical) - else: - if ev.orientation() == QtCore.Qt.Vertical: - mods = ev.modifiers() - if QtCore.Qt.ControlModifier == int(mods): - # with Ctrl/Command key - self.zoomRequest.emit(ev.delta(), ev.pos()) - else: - self.scrollRequest.emit( - ev.delta(), - QtCore.Qt.Horizontal - if (QtCore.Qt.ShiftModifier == int(mods)) - else QtCore.Qt.Vertical) - else: - self.scrollRequest.emit(ev.delta(), QtCore.Qt.Horizontal) - ev.accept() - - def keyPressEvent(self, ev): - key = ev.key() - if key == QtCore.Qt.Key_Escape and self.current: - self.current = None - self.drawingPolygon.emit(False) - self.update() - elif key == QtCore.Qt.Key_Return and self.canCloseShape(): - self.finalise() - - def setLastLabel(self, text, flags): - assert text - self.shapes[-1].label = text - self.shapes[-1].flags = flags - self.shapesBackups.pop() - self.storeShapes() - return self.shapes[-1] - - def undoLastLine(self): - assert self.shapes - self.current = self.shapes.pop() - self.current.setOpen() - if self.createMode in ['polygon', 'linestrip']: - self.line.points = [self.current[-1], self.current[0]] - elif self.createMode in ['rectangle', 'line', 'circle']: - self.current.points = self.current.points[0:1] - elif self.createMode == 'point': - self.current = None - self.drawingPolygon.emit(True) - - def undoLastPoint(self): - if not self.current or self.current.isClosed(): - return - self.current.popPoint() - if len(self.current) > 0: - self.line[0] = self.current[-1] - else: - self.current = None - self.drawingPolygon.emit(False) - self.repaint() - - def loadPixmap(self, pixmap): - self.pixmap = pixmap - self.shapes = [] - self.repaint() - - def loadShapes(self, shapes, replace=True): - if replace: - self.shapes = list(shapes) - else: - self.shapes.extend(shapes) - self.storeShapes() - self.current = None - self.repaint() - - def setShapeVisible(self, shape, value): - self.visible[shape] = value - self.repaint() - - def overrideCursor(self, cursor): - self.restoreCursor() - self._cursor = cursor - QtWidgets.QApplication.setOverrideCursor(cursor) - - def restoreCursor(self): - QtWidgets.QApplication.restoreOverrideCursor() - - def resetState(self): - self.restoreCursor() - self.pixmap = None - self.shapesBackups = [] - self.update() diff --git a/DataAnnotation/labelme/labelme/widgets/color_dialog.py b/DataAnnotation/labelme/labelme/widgets/color_dialog.py deleted file mode 100644 index e56143d8e3afe43fd97b6937cfe3d739ea56f6bd..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/labelme/widgets/color_dialog.py +++ /dev/null @@ -1,30 +0,0 @@ -from qtpy import QtWidgets - - -class ColorDialog(QtWidgets.QColorDialog): - - def __init__(self, parent=None): - super(ColorDialog, self).__init__(parent) - self.setOption(QtWidgets.QColorDialog.ShowAlphaChannel) - # The Mac native dialog does not support our restore button. - self.setOption(QtWidgets.QColorDialog.DontUseNativeDialog) - # Add a restore defaults button. - # The default is set at invocation time, so that it - # works across dialogs for different elements. - self.default = None - self.bb = self.layout().itemAt(1).widget() - self.bb.addButton(QtWidgets.QDialogButtonBox.RestoreDefaults) - self.bb.clicked.connect(self.checkRestore) - - def getColor(self, value=None, title=None, default=None): - self.default = default - if title: - self.setWindowTitle(title) - if value: - self.setCurrentColor(value) - return self.currentColor() if self.exec_() else None - - def checkRestore(self, button): - if self.bb.buttonRole(button) & \ - QtWidgets.QDialogButtonBox.ResetRole and self.default: - self.setCurrentColor(self.default) diff --git a/DataAnnotation/labelme/labelme/widgets/escapable_qlist_widget.py b/DataAnnotation/labelme/labelme/widgets/escapable_qlist_widget.py deleted file mode 100644 index 1fa81a4ac89ecd1ee1c05c2030bbc741abbb9f48..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/labelme/widgets/escapable_qlist_widget.py +++ /dev/null @@ -1,9 +0,0 @@ -from qtpy.QtCore import Qt -from qtpy import QtWidgets - - -class EscapableQListWidget(QtWidgets.QListWidget): - - def keyPressEvent(self, event): - if event.key() == Qt.Key_Escape: - self.clearSelection() diff --git a/DataAnnotation/labelme/labelme/widgets/label_dialog.py b/DataAnnotation/labelme/labelme/widgets/label_dialog.py deleted file mode 100644 index 05bed7a945b1c19be9298063c01b61c56974354a..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/labelme/widgets/label_dialog.py +++ /dev/null @@ -1,208 +0,0 @@ -import re - -from qtpy import QT_VERSION -from qtpy import QtCore -from qtpy import QtGui -from qtpy import QtWidgets - -QT5 = QT_VERSION[0] == '5' # NOQA - -from labelme.logger import logger -import labelme.utils - - -# TODO(unknown): -# - Calculate optimal position so as not to go out of screen area. - - -class LabelQLineEdit(QtWidgets.QLineEdit): - - def setListWidget(self, list_widget): - self.list_widget = list_widget - - def keyPressEvent(self, e): - if e.key() in [QtCore.Qt.Key_Up, QtCore.Qt.Key_Down]: - self.list_widget.keyPressEvent(e) - else: - super(LabelQLineEdit, self).keyPressEvent(e) - - -class LabelDialog(QtWidgets.QDialog): - - def __init__(self, text="Enter object label", parent=None, labels=None, - sort_labels=True, show_text_field=True, - completion='startswith', fit_to_content=None, flags=None): - if fit_to_content is None: - fit_to_content = {'row': False, 'column': True} - self._fit_to_content = fit_to_content - - super(LabelDialog, self).__init__(parent) - self.edit = LabelQLineEdit() - self.edit.setPlaceholderText(text) - self.edit.setValidator(labelme.utils.labelValidator()) - self.edit.editingFinished.connect(self.postProcess) - if flags: - self.edit.textChanged.connect(self.updateFlags) - layout = QtWidgets.QVBoxLayout() - if show_text_field: - layout.addWidget(self.edit) - # buttons - self.buttonBox = bb = QtWidgets.QDialogButtonBox( - QtWidgets.QDialogButtonBox.Ok | QtWidgets.QDialogButtonBox.Cancel, - QtCore.Qt.Horizontal, - self, - ) - bb.button(bb.Ok).setIcon(labelme.utils.newIcon('done')) - bb.button(bb.Cancel).setIcon(labelme.utils.newIcon('undo')) - bb.accepted.connect(self.validate) - bb.rejected.connect(self.reject) - layout.addWidget(bb) - # label_list - self.labelList = QtWidgets.QListWidget() - if self._fit_to_content['row']: - self.labelList.setHorizontalScrollBarPolicy( - QtCore.Qt.ScrollBarAlwaysOff - ) - if self._fit_to_content['column']: - self.labelList.setVerticalScrollBarPolicy( - QtCore.Qt.ScrollBarAlwaysOff - ) - self._sort_labels = sort_labels - if labels: - self.labelList.addItems(labels) - if self._sort_labels: - self.labelList.sortItems() - else: - self.labelList.setDragDropMode( - QtWidgets.QAbstractItemView.InternalMove) - self.labelList.currentItemChanged.connect(self.labelSelected) - self.edit.setListWidget(self.labelList) - layout.addWidget(self.labelList) - # label_flags - if flags is None: - flags = {} - self._flags = flags - self.flagsLayout = QtWidgets.QVBoxLayout() - self.resetFlags() - layout.addItem(self.flagsLayout) - self.edit.textChanged.connect(self.updateFlags) - self.setLayout(layout) - # completion - completer = QtWidgets.QCompleter() - if not QT5 and completion != 'startswith': - logger.warn( - "completion other than 'startswith' is only " - "supported with Qt5. Using 'startswith'" - ) - completion = 'startswith' - if completion == 'startswith': - completer.setCompletionMode(QtWidgets.QCompleter.InlineCompletion) - # Default settings. - # completer.setFilterMode(QtCore.Qt.MatchStartsWith) - elif completion == 'contains': - completer.setCompletionMode(QtWidgets.QCompleter.PopupCompletion) - completer.setFilterMode(QtCore.Qt.MatchContains) - else: - raise ValueError('Unsupported completion: {}'.format(completion)) - completer.setModel(self.labelList.model()) - self.edit.setCompleter(completer) - - def addLabelHistory(self, label): - if self.labelList.findItems(label, QtCore.Qt.MatchExactly): - return - self.labelList.addItem(label) - if self._sort_labels: - self.labelList.sortItems() - - def labelSelected(self, item): - self.edit.setText(item.text()) - - def validate(self): - text = self.edit.text() - if hasattr(text, 'strip'): - text = text.strip() - else: - text = text.trimmed() - if text: - self.accept() - - def postProcess(self): - text = self.edit.text() - if hasattr(text, 'strip'): - text = text.strip() - else: - text = text.trimmed() - self.edit.setText(text) - - def updateFlags(self, label_new): - # keep state of shared flags - flags_old = self.getFlags() - - flags_new = {} - for pattern, keys in self._flags.items(): - if re.match(pattern, label_new): - for key in keys: - flags_new[key] = flags_old.get(key, False) - self.setFlags(flags_new) - - def deleteFlags(self): - for i in reversed(range(self.flagsLayout.count())): - item = self.flagsLayout.itemAt(i).widget() - self.flagsLayout.removeWidget(item) - item.setParent(None) - - def resetFlags(self, label=''): - flags = {} - for pattern, keys in self._flags.items(): - if re.match(pattern, label): - for key in keys: - flags[key] = False - self.setFlags(flags) - - def setFlags(self, flags): - self.deleteFlags() - for key in flags: - item = QtWidgets.QCheckBox(key, self) - item.setChecked(flags[key]) - self.flagsLayout.addWidget(item) - item.show() - - def getFlags(self): - flags = {} - for i in range(self.flagsLayout.count()): - item = self.flagsLayout.itemAt(i).widget() - flags[item.text()] = item.isChecked() - return flags - - def popUp(self, text=None, move=True, flags=None): - if self._fit_to_content['row']: - self.labelList.setMinimumHeight( - self.labelList.sizeHintForRow(0) * self.labelList.count() + 2 - ) - if self._fit_to_content['column']: - self.labelList.setMinimumWidth( - self.labelList.sizeHintForColumn(0) + 2 - ) - # if text is None, the previous label in self.edit is kept - if text is None: - text = self.edit.text() - if flags: - self.setFlags(flags) - else: - self.resetFlags(text) - self.edit.setText(text) - self.edit.setSelection(0, len(text)) - items = self.labelList.findItems(text, QtCore.Qt.MatchFixedString) - if items: - if len(items) != 1: - logger.warning("Label list has duplicate '{}'".format(text)) - self.labelList.setCurrentItem(items[0]) - row = self.labelList.row(items[0]) - self.edit.completer().setCurrentRow(row) - self.edit.setFocus(QtCore.Qt.PopupFocusReason) - if move: - self.move(QtGui.QCursor.pos()) - if self.exec_(): - return self.edit.text(), self.getFlags() - else: - return None, None diff --git a/DataAnnotation/labelme/labelme/widgets/label_qlist_widget.py b/DataAnnotation/labelme/labelme/widgets/label_qlist_widget.py deleted file mode 100644 index 9184f0feb436288b400b2bc565a68986f1d0e647..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/labelme/widgets/label_qlist_widget.py +++ /dev/null @@ -1,46 +0,0 @@ -from qtpy import QtWidgets - - -class LabelQListWidget(QtWidgets.QListWidget): - - def __init__(self, *args, **kwargs): - super(LabelQListWidget, self).__init__(*args, **kwargs) - self.canvas = None - self.itemsToShapes = [] - self.setSelectionMode(QtWidgets.QAbstractItemView.ExtendedSelection) - - def get_shape_from_item(self, item): - for index, (item_, shape) in enumerate(self.itemsToShapes): - if item_ is item: - return shape - - def get_item_from_shape(self, shape): - for index, (item, shape_) in enumerate(self.itemsToShapes): - if shape_ is shape: - return item - - def clear(self): - super(LabelQListWidget, self).clear() - self.itemsToShapes = [] - - def setParent(self, parent): - self.parent = parent - - def dropEvent(self, event): - shapes = self.shapes - super(LabelQListWidget, self).dropEvent(event) - if self.shapes == shapes: - return - if self.canvas is None: - raise RuntimeError('self.canvas must be set beforehand.') - self.parent.setDirty() - self.canvas.loadShapes(self.shapes) - - @property - def shapes(self): - shapes = [] - for i in range(self.count()): - item = self.item(i) - shape = self.get_shape_from_item(item) - shapes.append(shape) - return shapes diff --git a/DataAnnotation/labelme/labelme/widgets/tool_bar.py b/DataAnnotation/labelme/labelme/widgets/tool_bar.py deleted file mode 100644 index 4fe50d197e7db6fc874979149c10cbd0d178ca1a..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/labelme/widgets/tool_bar.py +++ /dev/null @@ -1,36 +0,0 @@ -from qtpy import QtCore -from qtpy import QtWidgets - - -class ToolBar(QtWidgets.QToolBar): - - def __init__(self, title): - super(ToolBar, self).__init__(title) - layout = self.layout() - m = (0, 0, 0, 0) - layout.setSpacing(0) - layout.setContentsMargins(*m) - self.setContentsMargins(*m) - self.setWindowFlags(self.windowFlags() | QtCore.Qt.FramelessWindowHint) - - def addAction(self, action): - if isinstance(action, QtWidgets.QWidgetAction): - return super(ToolBar, self).addAction(action) - btn = ToolButton() - btn.setDefaultAction(action) - btn.setToolButtonStyle(self.toolButtonStyle()) - self.addWidget(btn) - - -class ToolButton(QtWidgets.QToolButton): - - """ToolBar companion class which ensures all buttons have the same size.""" - - minSize = (60, 60) - - def minimumSizeHint(self): - ms = super(ToolButton, self).minimumSizeHint() - w1, h1 = ms.width(), ms.height() - w2, h2 = self.minSize - self.minSize = max(w1, w2), max(h1, h2) - return QtCore.QSize(*self.minSize) diff --git a/DataAnnotation/labelme/labelme/widgets/zoom_widget.py b/DataAnnotation/labelme/labelme/widgets/zoom_widget.py deleted file mode 100644 index 2ccf081ade42db54bac70af597fb21a96696a102..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/labelme/widgets/zoom_widget.py +++ /dev/null @@ -1,22 +0,0 @@ -from qtpy import QtCore -from qtpy import QtGui -from qtpy import QtWidgets - - -class ZoomWidget(QtWidgets.QSpinBox): - - def __init__(self, value=100): - super(ZoomWidget, self).__init__() - self.setButtonSymbols(QtWidgets.QAbstractSpinBox.NoButtons) - self.setRange(10, 1000) - self.setSuffix(' %') - self.setValue(value) - self.setToolTip('Zoom Level') - self.setStatusTip(self.toolTip()) - self.setAlignment(QtCore.Qt.AlignCenter) - - def minimumSizeHint(self): - height = super(ZoomWidget, self).minimumSizeHint().height() - fm = QtGui.QFontMetrics(self.font()) - width = fm.width(str(self.maximum())) - return QtCore.QSize(width, height) diff --git a/DataAnnotation/labelme/setup.cfg b/DataAnnotation/labelme/setup.cfg deleted file mode 100644 index a2b9dbd915ffb7182462d14c6c9e3335da3fefec..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/setup.cfg +++ /dev/null @@ -1,3 +0,0 @@ -[flake8] -exclude = .anaconda3/*,.anaconda2/*,venv/* -ignore = H304 diff --git a/DataAnnotation/labelme/setup.py b/DataAnnotation/labelme/setup.py deleted file mode 100644 index f877fa84d5498df0b790cb3a336fa4b5f680cd0f..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/setup.py +++ /dev/null @@ -1,143 +0,0 @@ -from __future__ import print_function - -import distutils.spawn -import os.path -from setuptools import find_packages -from setuptools import setup -import shlex -import subprocess -import sys - - -PY3 = sys.version_info[0] == 3 -PY2 = sys.version_info[0] == 2 -assert PY3 or PY2 - - -here = os.path.abspath(os.path.dirname(__file__)) -version_file = os.path.join(here, 'labelme', '_version.py') -if PY3: - import importlib - version = importlib.machinery.SourceFileLoader( - '_version', version_file - ).load_module().__version__ -else: - assert PY2 - import imp - version = imp.load_source('_version', version_file).__version__ -del here - - -install_requires = [ - 'matplotlib', - 'numpy', - 'Pillow>=2.8.0', - 'PyYAML', - 'qtpy', - 'termcolor', -] - -# Find python binding for qt with priority: -# PyQt5 -> PySide2 -> PyQt4, -# and PyQt5 is automatically installed on Python3. -QT_BINDING = None - -try: - import PyQt5 # NOQA - QT_BINDING = 'pyqt5' -except ImportError: - pass - -if QT_BINDING is None: - try: - import PySide2 # NOQA - QT_BINDING = 'pyside2' - except ImportError: - pass - -if QT_BINDING is None: - try: - import PyQt4 # NOQA - QT_BINDING = 'pyqt4' - except ImportError: - if PY2: - print( - 'Please install PyQt5, PySide2 or PyQt4 for Python2.\n' - 'Note that PyQt5 can be installed via pip for Python3.', - file=sys.stderr, - ) - sys.exit(1) - assert PY3 - # PyQt5 can be installed via pip for Python3 - install_requires.append('PyQt5') - QT_BINDING = 'pyqt5' -del QT_BINDING - - -if sys.argv[1] == 'release': - if not distutils.spawn.find_executable('twine'): - print( - 'Please install twine:\n\n\tpip install twine\n', - file=sys.stderr, - ) - sys.exit(1) - - commands = [ - 'python tests/docs_tests/man_tests/test_labelme_1.py', - 'git tag v{:s}'.format(version), - 'git push origin master --tag', - 'python setup.py sdist', - 'twine upload dist/labelme-{:s}.tar.gz'.format(version), - ] - for cmd in commands: - subprocess.check_call(shlex.split(cmd)) - sys.exit(0) - - -def get_long_description(): - with open('README.md') as f: - long_description = f.read() - try: - import github2pypi - return github2pypi.replace_url( - slug='wkentaro/labelme', content=long_description - ) - except Exception: - return long_description - - -setup( - name='labelme', - version=version, - packages=find_packages(), - description='Image Polygonal Annotation with Python', - long_description=get_long_description(), - long_description_content_type='text/markdown', - author='Kentaro Wada', - author_email='www.kentaro.wada@gmail.com', - url='https://github.com/wkentaro/labelme', - install_requires=install_requires, - license='GPLv3', - keywords='Image Annotation, Machine Learning', - classifiers=[ - 'Development Status :: 5 - Production/Stable', - 'Intended Audience :: Developers', - 'Natural Language :: English', - 'Programming Language :: Python', - 'Programming Language :: Python :: 2', - 'Programming Language :: Python :: 3', - 'Programming Language :: Python :: Implementation :: CPython', - 'Programming Language :: Python :: Implementation :: PyPy', - ], - package_data={'labelme': ['icons/*', 'config/*.yaml']}, - entry_points={ - 'console_scripts': [ - 'labelme=labelme.main:main', - 'labelme_draw_json=labelme.cli.draw_json:main', - 'labelme_draw_label_png=labelme.cli.draw_label_png:main', - 'labelme_json_to_dataset=labelme.cli.json_to_dataset:main', - 'labelme_on_docker=labelme.cli.on_docker:main', - ], - }, - data_files=[('share/man/man1', ['docs/man/labelme.1'])], -) diff --git a/DataAnnotation/labelme/tests/docs_tests/man_tests/test_labelme_1.py b/DataAnnotation/labelme/tests/docs_tests/man_tests/test_labelme_1.py deleted file mode 100644 index c38d53b582d4ab0e40f8ed0fe658ef33bdd6c25b..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/tests/docs_tests/man_tests/test_labelme_1.py +++ /dev/null @@ -1,43 +0,0 @@ -#!/usr/bin/env python - -from __future__ import print_function - -import os.path as osp -import re -import shlex -import subprocess -import sys - - -here = osp.dirname(osp.abspath(__file__)) - -cmd = 'help2man labelme' -man_expected = subprocess.check_output(shlex.split(cmd)).decode().splitlines() - -man_file = osp.realpath(osp.join(here, '../../../docs/man/labelme.1')) -with open(man_file) as f: - man_actual = f.read().splitlines() - -patterns_exclude = [ - r'^\.TH .*', - r'^config file.*', - r'^\.\\.*', -] - -PASS = 1 -for line_expected, line_actual in zip(man_expected, man_actual): - for pattern in patterns_exclude: - if re.match(pattern, line_expected) or re.match(pattern, line_actual): - break - else: - if line_expected != line_actual: - print(repr('> {}'.format(line_expected)), file=sys.stderr) - print(repr('< {}'.format(line_actual)), file=sys.stderr) - PASS = 0 - -if not PASS: - print( - 'Please run:\n\n\thelp2man labelme > {}\n'.format(man_file), - file=sys.stderr, - ) -assert PASS diff --git a/DataAnnotation/labelme/tests/labelme_tests/__init__.py b/DataAnnotation/labelme/tests/labelme_tests/__init__.py deleted file mode 100644 index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..0000000000000000000000000000000000000000 diff --git a/DataAnnotation/labelme/tests/labelme_tests/data/apc2016_obj3.jpg b/DataAnnotation/labelme/tests/labelme_tests/data/apc2016_obj3.jpg deleted file mode 120000 index cb6ee76cce45c373b9d38ba5ba5abdd555535cb9..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/tests/labelme_tests/data/apc2016_obj3.jpg +++ /dev/null @@ -1 +0,0 @@ -../../../examples/tutorial/apc2016_obj3.jpg \ No newline at end of file diff --git a/DataAnnotation/labelme/tests/labelme_tests/data/apc2016_obj3.json b/DataAnnotation/labelme/tests/labelme_tests/data/apc2016_obj3.json deleted file mode 120000 index fbccd8d0615ddc7f3cfd22bfa9024a039117bfb3..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/tests/labelme_tests/data/apc2016_obj3.json +++ /dev/null @@ -1 +0,0 @@ -../../../examples/tutorial/apc2016_obj3.json \ No newline at end of file diff --git a/DataAnnotation/labelme/tests/labelme_tests/test_app.py b/DataAnnotation/labelme/tests/labelme_tests/test_app.py deleted file mode 100644 index 018ab88c2ea47248cb6443bfa02280478199c04e..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/tests/labelme_tests/test_app.py +++ /dev/null @@ -1,64 +0,0 @@ -import os.path as osp -import shutil -import tempfile - -import labelme.app -import labelme.config -import labelme.testing - - -here = osp.dirname(osp.abspath(__file__)) -data_dir = osp.join(here, 'data') - - -def test_MainWindow_open(qtbot): - win = labelme.app.MainWindow() - qtbot.addWidget(win) - win.show() - win.close() - - -def test_MainWindow_open_json(qtbot): - filename = osp.join(data_dir, 'apc2016_obj3.json') - labelme.testing.assert_labelfile_sanity(filename) - win = labelme.app.MainWindow(filename=filename) - qtbot.addWidget(win) - win.show() - win.close() - - -def test_MainWindow_annotate_jpg(qtbot): - tmp_dir = tempfile.mkdtemp() - filename = osp.join(tmp_dir, 'apc2016_obj3.jpg') - shutil.copy(osp.join(data_dir, 'apc2016_obj3.jpg'), - filename) - output_file = osp.join(tmp_dir, 'apc2016_obj3.json') - - config = labelme.config.get_default_config() - win = labelme.app.MainWindow( - config=config, - filename=filename, - output_file=output_file, - ) - qtbot.addWidget(win) - win.show() - - def check_imageData(): - assert hasattr(win, 'imageData') - assert win.imageData is not None - - qtbot.waitUntil(check_imageData) # wait for loadFile - - label = 'shelf' - points = [ - (26, 70), - (176, 730), - (986, 742), - (1184, 102), - ] - shape = label, points, None, None, 'polygon', {} - shapes = [shape] - win.loadLabels(shapes) - win.saveFile() - - labelme.testing.assert_labelfile_sanity(output_file) diff --git a/DataAnnotation/labelme/tests/labelme_tests/utils_tests/__init__.py b/DataAnnotation/labelme/tests/labelme_tests/utils_tests/__init__.py deleted file mode 100644 index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..0000000000000000000000000000000000000000 diff --git a/DataAnnotation/labelme/tests/labelme_tests/utils_tests/test_draw.py b/DataAnnotation/labelme/tests/labelme_tests/utils_tests/test_draw.py deleted file mode 100644 index b563fe3b502686eb9c27262e9e134be47ff188bb..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/tests/labelme_tests/utils_tests/test_draw.py +++ /dev/null @@ -1,48 +0,0 @@ -import numpy as np - -from labelme.utils import draw as draw_module -from labelme.utils import shape as shape_module - -from .util import get_img_and_lbl - - -# ----------------------------------------------------------------------------- - - -def test_label_colormap(): - N = 255 - colormap = draw_module.label_colormap(N=N) - assert colormap.shape == (N, 3) - - -def test_label2rgb(): - img, lbl, label_names = get_img_and_lbl() - n_labels = len(label_names) - - viz = draw_module.label2rgb(lbl=lbl, n_labels=n_labels) - assert lbl.shape == viz.shape[:2] - assert viz.dtype == np.uint8 - - viz = draw_module.label2rgb(lbl=lbl, img=img, n_labels=n_labels) - assert img.shape[:2] == lbl.shape == viz.shape[:2] - assert viz.dtype == np.uint8 - - -def test_draw_label(): - img, lbl, label_names = get_img_and_lbl() - - viz = draw_module.draw_label(lbl, img, label_names=label_names) - assert viz.shape[:2] == img.shape[:2] == lbl.shape[:2] - assert viz.dtype == np.uint8 - - -def test_draw_instances(): - img, lbl, label_names = get_img_and_lbl() - labels_and_masks = {l: lbl == l for l in np.unique(lbl) if l != 0} - labels, masks = zip(*labels_and_masks.items()) - masks = np.asarray(masks) - bboxes = shape_module.masks_to_bboxes(masks) - captions = [label_names[l] for l in labels] - viz = draw_module.draw_instances(img, bboxes, labels, captions=captions) - assert viz.shape[:2] == img.shape[:2] - assert viz.dtype == np.uint8 diff --git a/DataAnnotation/labelme/tests/labelme_tests/utils_tests/test_image.py b/DataAnnotation/labelme/tests/labelme_tests/utils_tests/test_image.py deleted file mode 100644 index 34606c109f35b67f7d87ba649f65a321a92e9908..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/tests/labelme_tests/utils_tests/test_image.py +++ /dev/null @@ -1,31 +0,0 @@ -import os.path as osp - -import numpy as np -import PIL.Image - -from labelme.utils import image as image_module - -from .util import data_dir -from .util import get_img_and_data - - -def test_img_b64_to_arr(): - img, _ = get_img_and_data() - assert img.dtype == np.uint8 - assert img.shape == (907, 1210, 3) - - -def test_img_arr_to_b64(): - img_file = osp.join(data_dir, 'apc2016_obj3.jpg') - img_arr = np.asarray(PIL.Image.open(img_file)) - img_b64 = image_module.img_arr_to_b64(img_arr) - img_arr2 = image_module.img_b64_to_arr(img_b64) - np.testing.assert_allclose(img_arr, img_arr2) - - -def test_img_data_to_png_data(): - img_file = osp.join(data_dir, 'apc2016_obj3.jpg') - with open(img_file, 'rb') as f: - img_data = f.read() - png_data = image_module.img_data_to_png_data(img_data) - assert isinstance(png_data, bytes) diff --git a/DataAnnotation/labelme/tests/labelme_tests/utils_tests/test_shape.py b/DataAnnotation/labelme/tests/labelme_tests/utils_tests/test_shape.py deleted file mode 100644 index d9d8dc3c8f2727a451c938dea7af24b9f37088ec..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/tests/labelme_tests/utils_tests/test_shape.py +++ /dev/null @@ -1,23 +0,0 @@ -from .util import get_img_and_data - -from labelme.utils import shape as shape_module - - -def test_shapes_to_label(): - img, data = get_img_and_data() - label_name_to_value = {} - for shape in data['shapes']: - label_name = shape['label'] - label_value = len(label_name_to_value) - label_name_to_value[label_name] = label_value - cls = shape_module.shapes_to_label( - img.shape, data['shapes'], label_name_to_value) - assert cls.shape == img.shape[:2] - - -def test_shape_to_mask(): - img, data = get_img_and_data() - for shape in data['shapes']: - points = shape['points'] - mask = shape_module.shape_to_mask(img.shape[:2], points) - assert mask.shape == img.shape[:2] diff --git a/DataAnnotation/labelme/tests/labelme_tests/utils_tests/util.py b/DataAnnotation/labelme/tests/labelme_tests/utils_tests/util.py deleted file mode 100644 index 504581119282e4e11e3764e5ee36aa9ddaeef61f..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/tests/labelme_tests/utils_tests/util.py +++ /dev/null @@ -1,37 +0,0 @@ -import json -import os.path as osp - -from labelme.utils import image as image_module -from labelme.utils import shape as shape_module - - -here = osp.dirname(osp.abspath(__file__)) -data_dir = osp.join(here, '../data') - - -def get_img_and_data(): - json_file = osp.join(data_dir, 'apc2016_obj3.json') - data = json.load(open(json_file)) - img_b64 = data['imageData'] - img = image_module.img_b64_to_arr(img_b64) - return img, data - - -def get_img_and_lbl(): - img, data = get_img_and_data() - - label_name_to_value = {'__background__': 0} - for shape in data['shapes']: - label_name = shape['label'] - label_value = len(label_name_to_value) - label_name_to_value[label_name] = label_value - - n_labels = max(label_name_to_value.values()) + 1 - label_names = [None] * n_labels - for label_name, label_value in label_name_to_value.items(): - label_names[label_value] = label_name - - lbl = shape_module.shapes_to_label( - img.shape, data['shapes'], label_name_to_value - ) - return img, lbl, label_names diff --git a/DataAnnotation/labelme/tests/labelme_tests/widgets_tests/__init__.py b/DataAnnotation/labelme/tests/labelme_tests/widgets_tests/__init__.py deleted file mode 100644 index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..0000000000000000000000000000000000000000 diff --git a/DataAnnotation/labelme/tests/labelme_tests/widgets_tests/test_label_dialog.py b/DataAnnotation/labelme/tests/labelme_tests/widgets_tests/test_label_dialog.py deleted file mode 100644 index 4b1249c6025ede4f0ab5b97c965e27d1b2f09868..0000000000000000000000000000000000000000 --- a/DataAnnotation/labelme/tests/labelme_tests/widgets_tests/test_label_dialog.py +++ /dev/null @@ -1,87 +0,0 @@ -from qtpy import QtCore -from qtpy import QtWidgets - -from labelme.widgets import LabelDialog -from labelme.widgets import LabelQLineEdit - - -def test_LabelQLineEdit(qtbot): - list_widget = QtWidgets.QListWidget() - list_widget.addItems([ - 'cat', - 'dog', - 'person', - ]) - widget = LabelQLineEdit() - widget.setListWidget(list_widget) - qtbot.addWidget(widget) - - # key press to navigate in label list - item = widget.list_widget.findItems('cat', QtCore.Qt.MatchExactly)[0] - widget.list_widget.setCurrentItem(item) - assert widget.list_widget.currentItem().text() == 'cat' - qtbot.keyPress(widget, QtCore.Qt.Key_Down) - assert widget.list_widget.currentItem().text() == 'dog' - - # key press to enter label - qtbot.keyPress(widget, QtCore.Qt.Key_P) - qtbot.keyPress(widget, QtCore.Qt.Key_E) - qtbot.keyPress(widget, QtCore.Qt.Key_R) - qtbot.keyPress(widget, QtCore.Qt.Key_S) - qtbot.keyPress(widget, QtCore.Qt.Key_O) - qtbot.keyPress(widget, QtCore.Qt.Key_N) - assert widget.text() == 'person' - - -def test_LabelDialog_addLabelHistory(qtbot): - labels = ['cat', 'dog', 'person'] - widget = LabelDialog(labels=labels, sort_labels=True) - qtbot.addWidget(widget) - - widget.addLabelHistory('bicycle') - assert widget.labelList.count() == 4 - widget.addLabelHistory('bicycle') - assert widget.labelList.count() == 4 - item = widget.labelList.item(0) - assert item.text() == 'bicycle' - - -def test_LabelDialog_popUp(qtbot): - labels = ['cat', 'dog', 'person'] - widget = LabelDialog(labels=labels, sort_labels=True) - qtbot.addWidget(widget) - - # popUp(text='cat') - - def interact(): - qtbot.keyClick(widget.edit, QtCore.Qt.Key_P) # enter 'p' for 'person' # NOQA - qtbot.keyClick(widget.edit, QtCore.Qt.Key_Enter) # NOQA - qtbot.keyClick(widget.edit, QtCore.Qt.Key_Enter) # NOQA - - QtCore.QTimer.singleShot(500, interact) - label, flags = widget.popUp('cat') - assert label == 'person' - assert flags == {} - - # popUp() - - def interact(): - qtbot.keyClick(widget.edit, QtCore.Qt.Key_Enter) # NOQA - qtbot.keyClick(widget.edit, QtCore.Qt.Key_Enter) # NOQA - - QtCore.QTimer.singleShot(500, interact) - label, flags = widget.popUp() - assert label == 'person' - assert flags == {} - - # popUp() + key_Up - - def interact(): - qtbot.keyClick(widget.edit, QtCore.Qt.Key_Up) # 'person' -> 'dog' # NOQA - qtbot.keyClick(widget.edit, QtCore.Qt.Key_Enter) # NOQA - qtbot.keyClick(widget.edit, QtCore.Qt.Key_Enter) # NOQA - - QtCore.QTimer.singleShot(500, interact) - label, flags = widget.popUp() - assert label == 'dog' - assert flags == {} diff --git "a/DataAnnotation/\346\240\207\346\263\250\345\267\245\345\205\267\345\256\211\350\243\205\345\222\214\344\275\277\347\224\250/1_Windows/.DS_Store" "b/DataAnnotation/\346\240\207\346\263\250\345\267\245\345\205\267\345\256\211\350\243\205\345\222\214\344\275\277\347\224\250/1_Windows/.DS_Store" new file mode 100644 index 0000000000000000000000000000000000000000..5c5da9f6e1a25227edaec75927524c7e8699f68d Binary files /dev/null and "b/DataAnnotation/\346\240\207\346\263\250\345\267\245\345\205\267\345\256\211\350\243\205\345\222\214\344\275\277\347\224\250/1_Windows/.DS_Store" differ diff --git a/README.md b/README.md index 8d45f11edc7a31e76317b827835467c5320ddec7..8ebb004d11ebdf1484c2b275f50c21aa22e67c36 100644 --- a/README.md +++ b/README.md @@ -10,7 +10,7 @@ -飞桨全流程开发客户端，集飞桨核心框架、模型库、工具及组件等深度学习开发全流程所需能力于一身，不仅为您提供一键安装的客户端，开源开放的技术内核更方便您根据实际生产需求进行直接调用或二次开发，是提升深度学习项目开发效率的最佳辅助工具。 +飞桨全流程开发客户端，集成飞桨核心框架、模型库、工具及组件等核心模块，打通深度学习开发全流程。不仅提供一键安装的客户端，开源开放的技术内核更方便您根据实际生产需求进行直接调用或二次开发，为开发者提供飞桨全流程开发的最佳实践。 PaddleX由PaddleX Client可视化前端和PaddleX Core后端技术内核两个部分组成。