update 2.0.1 (#2754)

* update 2.0.1

docs/tutorials/INSTALL.md

@@ -71,8 +71,8 @@ PaddleDetection can be installed in the following two ways:
 **Note:** Installing via pip only supports Python3
 
 ```
-# install paddledet via pip
-pip install paddledet==2.0.0 -i https://pypi.tuna.tsinghua.edu.cn/simple
+# Install paddledet via pip
+pip install paddledet==2.0.1 -i https://mirror.baidu.com/pypi/simple
 
 # Download and use the configuration files and code examples in the source code
 git clone https://github.com/PaddlePaddle/PaddleDetection.git
@@ -86,17 +86,18 @@ cd PaddleDetection
 cd <path/to/clone/PaddleDetection>
 git clone https://github.com/PaddlePaddle/PaddleDetection.git
 
+# Compile and install paddledet
+cd PaddleDetection
+python setup.py install
+
 # Install other dependencies
 pip install -r requirements.txt
 
-# Install PaddleDetection
-cd PaddleDetection
-python setup.py install
 ```
 
 **Note**
 
-1. Because the origin version of cocoapi does not support windows, another version is used which only supports Python3:
+1. If you are working on Windows OS, `pycocotools` installing may failed because of the origin version of cocoapi does not support windows, another version can be used used which only supports Python3:
 
     ```pip install git+https://github.com/philferriere/cocoapi.git#subdirectory=PythonAPI```
 
@@ -109,10 +110,10 @@ python ppdet/modeling/tests/test_architectures.py
 If the tests are passed, the following information will be prompted:
 
 ```
-..........
+.....
 ----------------------------------------------------------------------
-Ran 12 tests in 2.480s
-OK (skipped=2)
+Ran 5 tests in 4.280s
+OK
 ```
 
 ## Inference demo
@@ -122,7 +123,7 @@ OK (skipped=2)
 ```
 # Predict an image by GPU
 export CUDA_VISIBLE_DEVICES=0
-python tools/infer.py -c configs/ppyolo/ppyolo.yml -o use_gpu=true weights=https://paddlemodels.bj.bcebos.com/object_detection/ppyolo.pdparams --infer_img=demo/000000014439.jpg
+python tools/infer.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml -o use_gpu=true weights=https://paddlemodels.bj.bcebos.com/object_detection/ppyolo.pdparams --infer_img=demo/000000014439.jpg
 ```
 
 An image of the same name with the predicted result will be generated under the `output` folder.

docs/tutorials/INSTALL_cn.md

@@ -64,7 +64,7 @@ python -c "import paddle; print(paddle.__version__)"
 
 ```
 # pip安装paddledet
-pip install paddledet==2.0.0 -i https://pypi.tuna.tsinghua.edu.cn/simple
+pip install paddledet==2.0.1 -i https://mirror.baidu.com/pypi/simple
 
 # 下载使用源码中的配置文件和代码示例
 git clone https://github.com/PaddlePaddle/PaddleDetection.git
@@ -78,17 +78,18 @@ cd PaddleDetection
 cd <path/to/clone/PaddleDetection>
 git clone https://github.com/PaddlePaddle/PaddleDetection.git
 
+# 编译安装paddledet
+cd PaddleDetection
+python setup.py install
+
 # 安装其他依赖
 pip install -r requirements.txt
 
-# 安装PaddleDetection
-cd PaddleDetection
-python setup.py install
 ```
 
 **注意**
 
-1. 由于原版cocoapi不支持windows，采用第三方实现版本，该版本仅支持Python3
+1. 若您使用的是Windows系统，由于原版cocoapi不支持Windows，`pycocotools`依赖可能安装失败，可采用第三方实现版本，该版本仅支持Python3
 
     ```pip install git+https://github.com/philferriere/cocoapi.git#subdirectory=PythonAPI```
 
@@ -102,10 +103,10 @@ python ppdet/modeling/tests/test_architectures.py
 测试通过后会提示如下信息：
 
 ```
-..........
+.....
 ----------------------------------------------------------------------
-Ran 12 tests in 2.480s
-OK (skipped=2)
+Ran 5 tests in 4.280s
+OK
 ```
 
 ## 快速体验
@@ -115,7 +116,7 @@ OK (skipped=2)
 ```
 # 在GPU上预测一张图片
 export CUDA_VISIBLE_DEVICES=0
-python tools/infer.py -c configs/ppyolo/ppyolo.yml -o use_gpu=true weights=https://paddlemodels.bj.bcebos.com/object_detection/ppyolo.pdparams --infer_img=demo/000000014439.jpg
+python tools/infer.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml -o use_gpu=true weights=https://paddlemodels.bj.bcebos.com/object_detection/ppyolo.pdparams --infer_img=demo/000000014439.jpg
 ```
 
 会在`output`文件夹下生成一个画有预测结果的同名图像。

ppdet/model_zoo/model_zoo.py

@@ -68,11 +68,11 @@ def list_model(filters=[]):
 
 # models and configs save on bcebos under dygraph directory
 def get_config_file(model_name):
-    return get_config_path("ppdet://dygraph/configs/{}.yml".format(model_name))
+    return get_config_path("ppdet://configs/{}.yml".format(model_name))
 
 
 def get_weights_url(model_name):
-    return "ppdet://dygraph/{}.pdparams".format(model_name)
+    return "ppdet://models/{}.pdparams".format(osp.split(model_name)[-1])
 
 
 def get_model(model_name, pretrained=True):

ppdet/modeling/tests/test_architectures.py

+#   Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+
+import unittest
+import ppdet
+
+
+class TestFasterRCNN(unittest.TestCase):
+    def setUp(self):
+        self.set_config()
+
+    def set_config(self):
+        self.cfg_file = 'configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.yml'
+
+    def test_trainer(self):
+        # Trainer __init__ will build model and DataLoader
+        # 'train' and 'eval' mode include dataset loading
+        # use 'test' mode to simplify tests
+        cfg = ppdet.core.workspace.load_config(self.cfg_file)
+        trainer = ppdet.engine.Trainer(cfg, mode='test')
+
+
+class TestMaskRCNN(TestFasterRCNN):
+    def set_config(self):
+        self.cfg_file = 'configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.yml'
+
+
+class TestCascadeRCNN(TestFasterRCNN):
+    def set_config(self):
+        self.cfg_file = 'configs/cascade_rcnn/cascade_rcnn_r50_fpn_1x_coco.yml'
+
+
+class TestYolov3(TestFasterRCNN):
+    def set_config(self):
+        self.cfg_file = 'configs/yolov3/yolov3_darknet53_270e_coco.yml'
+
+
+class TestSSD(TestFasterRCNN):
+    def set_config(self):
+        self.cfg_file = 'configs/ssd/ssd_vgg16_300_240e_voc.yml'
+
+
+if __name__ == '__main__':
+    unittest.main()

ppdet/utils/download.py

@@ -260,7 +260,8 @@ def get_path(url, root_dir, md5sum=None, check_exist=True):
             fullpath = osp.join(osp.split(fullpath)[0], v)
 
     if osp.exists(fullpath) and check_exist:
-        if _check_exist_file_md5(fullpath, md5sum, url):
+        if not osp.isfile(fullpath) or \
+                _check_exist_file_md5(fullpath, md5sum, url):
             logger.debug("Found {}".format(fullpath))
             return fullpath, True
         else:

setup.py

@@ -42,7 +42,7 @@ def package_model_zoo():
         # exclude dataset base config
         if osp.split(osp.split(cfg)[0])[1] not in ['datasets']:
             valid_cfgs.append(cfg)
-    model_names = [osp.splitext(osp.split(cfg)[1])[0] for cfg in valid_cfgs]
+    model_names = [osp.relpath(cfg, cfg_dir).replace(".yml", "") for cfg in valid_cfgs]
 
     model_zoo_file = osp.join(cur_dir, 'ppdet', 'model_zoo', 'MODEL_ZOO')
     with open(model_zoo_file, 'w') as wf:
@@ -70,7 +70,7 @@ if __name__ == "__main__":
         packages=find_packages(exclude=("configs", "tools", "deploy")),
         package_data={'ppdet.model_zoo': package_model_zoo()},
         author='PaddlePaddle',
-        version='2.0.0',
+        version='2.0.1',
         install_requires=parse_requirements('./requirements.txt'),
         description='Object detection and instance segmentation toolkit based on PaddlePaddle',
         long_description=readme(),