Fix some docs. (#2698)

* Fix some docs
* Unify COCO and VOC
* Change PASCAL to Pascal
* Unify dataset/coco

configs/retinanet_r101_fpn_1x.yml

@@ -79,7 +79,7 @@ FasterRCNNTrainFeed:
   - !PadBatch
     pad_to_stride: 128
   dataset:
-    dataset_dir: data/coco
+    dataset_dir: dataset/coco
     annotation: annotations/instances_train2017.json
     image_dir: train2017
   num_workers: 2
@@ -90,7 +90,7 @@ FasterRCNNEvalFeed:
   - !PadBatch
     pad_to_stride: 128
   dataset:
-    dataset_dir: data/coco
+    dataset_dir: dataset/coco
     annotation: annotations/instances_val2017.json
     image_dir: val2017
   num_workers: 2

demo/mask_rcnn_demo.ipynb

@@ -28,7 +28,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "/home/yang/models/PaddleCV/object_detection\n"
+      "/home/yang/models/PaddleCV/PaddleDetection\n"
      ]
     }
    ],

docs/CONFIG.md

@@ -111,13 +111,13 @@ The corresponding(generated) YAML snippet is as follows, note this is the config
 
 ```yaml
 RPNHead:
-  test_prop:
+  test_proposal:
     eta: 1.0
     min_size: 0.1
     nms_thresh: 0.5
     post_nms_top_n: 1000
     pre_nms_top_n: 6000
-  train_prop:
+  train_proposal:
     eta: 1.0
     min_size: 0.1
     nms_thresh: 0.5

docs/CONFIG_cn.md

@@ -103,13 +103,13 @@ class RPNHead(object):
 
 ```yaml
 RPNHead:
-  test_prop:
+  test_proposal:
     eta: 1.0
     min_size: 0.1
     nms_thresh: 0.5
     post_nms_top_n: 1000
     pre_nms_top_n: 6000
-  train_prop:
+  train_proposal:
     eta: 1.0
     min_size: 0.1
     nms_thresh: 0.5

docs/DATA.md

@@ -26,7 +26,7 @@ following data sources are supported:
 Loads `COCO` type datasets with directory structures like this:
 
   ```
-  data/coco/
+  dataset/coco/
   ├── annotations
   │   ├── instances_train2017.json
   │   ├── instances_val2017.json
@@ -167,7 +167,7 @@ The main APIs are as follows:
 
 #### Canned Datasets
 
-Preset for common datasets, e.g., `MS-COCO` and `Pascal Voc` are included. In
+Preset for common datasets, e.g., `COCO` and `Pascal Voc` are included. In
 most cases, user can simply use these canned dataset as is. Moreover, the
 whole data pipeline is fully customizable through the yaml configuration files.
 

docs/DATA_cn.md

@@ -14,7 +14,7 @@
      该数据集目前分为COCO2012和COCO2017，主要由json文件和image文件组成，其组织结构如下所示：
 
   ```
-  data/coco/
+  dataset/coco/
   ├── annotations
   │   ├── instances_train2014.json
   │   ├── instances_train2017.json

docs/INSTALL.md

@@ -13,7 +13,7 @@
 ## Introduction
 
 This document covers how to install PaddleDetection, its dependencies
-(including PaddlePaddle), together with COCO and PASCAL VOC dataset.
+(including PaddlePaddle), together with COCO and Pascal VOC dataset.
 
 For general information about PaddleDetection, please see [README.md](../README.md).
 
@@ -68,12 +68,12 @@ with the following commands:
 ```
 cd <path/to/clone/models>
 git clone https://github.com/PaddlePaddle/models
-cd models/PaddleCV/object_detection
+cd models/PaddleCV/PaddleDetection
 ```
 
 **Install Python dependencies:**
 
-Required python packages are specified in [requirements.txt](./requirements.txt), and can be installed with:
+Required python packages are specified in [requirements.txt](../requirements.txt), and can be installed with:
 
 ```
 pip install -r requirements.txt
@@ -89,31 +89,31 @@ python ppdet/modeling/tests/test_architectures.py
 
 ## Datasets
 
-PaddleDetection includes support for [MSCOCO](http://cocodataset.org) and [PASCAL VOC](http://host.robots.ox.ac.uk/pascal/VOC/) by default, please follow these instructions to set up the dataset.
+PaddleDetection includes support for [COCO](http://cocodataset.org) and [Pascal VOC](http://host.robots.ox.ac.uk/pascal/VOC/) by default, please follow these instructions to set up the dataset.
 
 **Create symlinks for local datasets:**
 
-Default dataset path in config files is `data/coco` and `data/voc`, if the
+Default dataset path in config files is `dataset/coco` and `dataset/voc`, if the
 datasets are already available on disk, you can simply create symlinks to
 their directories:
 
 ```
-ln -sf <path/to/coco> <path/to/paddle_detection>/data/coco
-ln -sf <path/to/voc> <path/to/paddle_detection>/data/voc
+ln -sf <path/to/coco> <path/to/paddle_detection>/dataset/coco
+ln -sf <path/to/voc> <path/to/paddle_detection>/dataset/voc
 ```
 
 **Download datasets manually:**
 
 On the other hand, to download the datasets, run the following commands:
 
-- MS-COCO
+- COCO
 
 ```
 cd dataset/coco
 ./download.sh
 ```
 
-- PASCAL VOC
+- Pascal VOC
 
 ```
 cd dataset/voc
@@ -123,8 +123,8 @@ cd dataset/voc
 **Download datasets automatically:**
 
 If a training session is started but the dataset is not setup properly (e.g,
-not found in `data/coc` or `data/voc`), PaddleDetection can automatically
-download them from [MSCOCO-2017](http://images.cocodataset.org) and
+not found in `dataset/coco` or `dataset/voc`), PaddleDetection can automatically
+download them from [COCO-2017](http://images.cocodataset.org) and
 [VOC2012](http://host.robots.ox.ac.uk/pascal/VOC), the decompressed datasets
 will be cached in `~/.cache/paddle/dataset/` and can be discovered automatically
 subsequently.

docs/MODEL_ZOO.md

@@ -77,7 +77,7 @@ randomly color distortion, randomly cropping, randomly expansion, randomly inter
 
 **Notes:** In RetinaNet, the base LR is changed to 0.01 for minibatch size 16.
 
-### SSD on PascalVOC
+### SSD on Pascal VOC
 
 | Backbone     | Size | Image/gpu | Lr schd | Box AP | Download  |
 | :----------- | :--: | :-----: | :-----: | :----: | :-------: |