This repo is duplication of jwyang/faster-rcnn.pytorch
C/C++ code(nms, roi pool,align) are removed and easier to study.
Python 3.8.5
Ubuntu 20.04.1 LTS (and Window10)

git clone https://github.com/cuchoco/pytorch_faster_rcnn.git

cd pytorch_faster_rcnn && mkdir data

pip install -r requirements.txt

• PASCAL_VOC 07+12: Please follow the instructions in py-faster-rcnn to prepare VOC datasets.
  Actually, you can refer to any others. After downloading the data, creat softlinks in the folder data/.

├── data
│   ├── VOCdevkit2007
│   └── pretrained_model
│       └── resnet101_caffe.pth

We used two pretrained models in our experiments, VGG and ResNet101.
You can download these two models from:

• VGG16: Dropbox, VT Server

• ResNet101: Dropbox, VT Server

Download them and put them into the data/pretrained_model/

• linux

cd data
git clone https://github.com/pdollar/coco.git 
cd cocoapi/PythonAPI
make

• window

cd data
git clone https://github.com/philferriere/cocoapi
cd cocoapi/PythonAPI/
python setup.py build_ext --inplace

lib/model/utils/config.py

374  # yaml_cfg = edict(yaml.load(f))
375  yaml_cfg = edict(yaml.safe_load(f))

and replace lib/pycocotools with data/cocoapi/PythonAPI/pycocotools

python trainval_net.py