fpn.pytorch
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jwyang
Pytorch implementation of Feature Pyramid Network (FPN) for Object Detection
Hi! Many thanks to your wonderful codes. I separately move the lib of roi pooling part to some of my own projects and it runs correctly after compiling. However, when...
hi guys, i changed the stride in [resnet.layer4](https://github.com/jwyang/fpn.pytorch/blob/23bd1d2fa09fbb9453f11625d758a61b9d600942/lib/model/fpn/resnet.py#L117) from 1 to 2, then i trained the model on the union set of VOC 2007 trainval and VOC 2012 trainval (“07+12”)...
According to the faster rcnn code you wrote earlier， i changed fpn.pytorch code. now it supports both python2 and python3.
when i run 'python trainval_net.py --cuda' IOError: [Errno 2] No such file or directory: 'data/pretrained_model/resnet101_caffe.pth' what is resnet101_caffe.pth,thank you~
In resnet.py (line 117 `self.layer4 = self._make_layer(block, 512, layers[3], stride=1)`), stride is equal to 1. This results in that the size of p4 is equal to the size of p5....
Hi,thanks for your works. The BN layer in pytorch is class torch.nn.BatchNorm2d(num_features, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) in your code you choose the default parameters. Is that right for object detection...
Hi, thanks for your implementation. You mentioned that coco results are on the way, have you got it yet? And just curious, are you planning to extend this FPN net...
In your code, you note that "the original paper used pool_size = 7 for cls branch, and 14 for mask branch, to save the computation time, we first use 14...
