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when i train a R-FCN t with OHEM----rfcn_end2end_ohem.sh, I get loss_bbox = 0 (* 1 = 0 loss) from the very beginning. However, when i train the verision without OHEM, everything is ok and i got a MAP …
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I read the R-FCN paper.
After the Resnet101 they append a randomly initialized 1024-d 1x1 convolution layer to reducing dimension.
However, your implementation append the a 1024-d "3x3" dilation=…
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4.Since py-faster-rcnn does not support multiple training datasets, we need to merge VOC 2007 data and VOC 2012 data manually. Just make a new directory named VOC0712, put all subfolders except ImageS…
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# CA-FCN
## Reference
- [paper - 2018 - Scene Text Recognition from Two-Dimensional Perspective](https://arxiv.org/pdf/1809.06508.pdf)
- [CVPR2019-Scene Text Spotting汇总](https://zhuanlan.zhihu.co…
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```matlab
% fcn.m
function [B] = fcn(A)
B = A>=(A)
end
```
`smop fcn.m`
```
Traceback (most recent call last):
File "/home/pete/.local/lib/python3.5/site-packages/smop/main.py", line 65, …
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Hi @dusty-nv ,
I want to load and test pre-trained segmentation models such as FCN-ResNet18-MHP, FCN-ResNet18-DeepScene on my system with python script e.g. `test.py` before using on Jetson.
H…
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related repos:
- https://github.com/Eniac-Xie/faster-rcnn-resnet
- https://github.com/tianzhi0549/py-faster-rcnn-resnet-imagenet
- https://github.com/kensun0/Face-Detecion-with-the-Faster-R-CNN-R…
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* I'm looking to train R-FCN with a Resnet-101 backbone end to end on the ms-coco dataset.
* To start with, I wanted to make sure my setup was correct, so I used `tutorial_1gpu_e2e_faster_rcnn_R-50-F…
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I got a slow training speed on GPU 1080ti , Speed: 1.96 samples/sec(r-fcn I got 2.5 samples/sec) ,if there is any problems?
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# Ongoing
- [ ] YOLOv2 https://github.com/chainer/chainercv/pull/596
- [ ] YOLOv3 https://github.com/chainer/chainercv/pull/596
- [ ] Light Head R-CNN https://github.com/chainer/chainercv/pull/775
…