Detectron.pytorch
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A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
(python3) mike@amax:/data2/mike/Detectron.pytorch/lib$ sh make.sh running build_ext building 'utils.cython_bbox' extension creating build creating build/temp.linux-x86_64-3.6 creating build/temp.linux-x86_64-3.6/utils gcc -pthread -B /home/mike/anaconda3/envs/python3/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/home/mike/anaconda3/envs/python3/lib/python3.6/site-packages/numpy/core/include -I/home/mike/anaconda3/envs/python3/include/python3.6m...
Hi everyone, I am doing a comparison with others object detection networks and I have a question: How can I properly variate the threshold to obtain different recall values? I...
Hi, I trained my dataset (only one class) on your code and train the network following "e2e_faster_rcnn ResNet-50.yaml". However, I find that loss_cls is larger than loss_rpn_cls, which is not...
### Expected results In the caffe2 implementation, there is a field TRAIN.WEIGHTS which allows us to use models pretrained on datasets such as coco. Can I merely use pretrained resnet...
Hi, I have a question that confuses me. I use resnet50-fpn backbone The image will be scaled before sending to network, but I found the bounding box coordinates were not...
Hi, I have a small question. During evaluation, the detectron outputs all the keypoints' location, and some logit and probability associated with it. There is no binary tag regarding if...
If multiple datasets are specified for training, what is the sampling ratio between these datasets?
For example, if I have dataset A with 1000 images and dataset B with 500 images, will data from A and B be sampled with a 1:1 ratio or 2:1...
https://github.com/roytseng-tw/Detectron.pytorch/blob/8315af319cd29b8884a7c0382c4700a96bf35bbc/tools/train_net_step.py#L193 Why you use `original_batch_size` instead of `original_batch_size * original_iter_size` ? Is the reason that you ignore the 'original_iter_size' because its default value is 1?
1. yaml.parser.ParserError caused by incorrect indentation in e2e_faster_rcnn_X-101-64x4d-FPN_1x.yaml COMMAND: ``` python tools/test_net.py --dataset coco2017 --cfg configs/baselines/e2e_faster_rcnn_X-101-64x4d-FPN_1x.yaml --load_detectron /path/to/weights/e2e_faster_rcnn_X-101-64x4d-FPN_1x.pkl ``` ERROR : ``` "expected , but found %r" % token.id, token.start_mark)...