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I managed to run inference on several images successfully.
However, when i am trying to train again on MPII data using the example command line:
```
python tools/train.py \
--cfg experiments…
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Hello, can anyone help me to fix this error?
I have made new fresh conda env and install pytorch 1.5.1 with cuda 10.2
and follow every single step from requirements.txt and cocoapi
But I still get…
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$ ./BaiduPCS-Go u ~/NYU_summer_intern /NYU_summer_intern
> 警告: 遍历错误: lstat /home/lyunfan/NYU_summer_intern/deep-high-resolution-net.pytorch/NYUpose/bin/python/: not a directory
未检测到上传的文件.
$ ls …
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```
(venv) juggernaut@xmen9:~/Desktop/DeepHighResolution/deep-high-resolution-net.pytorch/lib$ make
cd nms; python setup_linux.py build_ext --inplace; rm -rf build; cd ../../
running build_ext
cyt…
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in
UDP-Pose/deep-high-resolution-net.pytorch/lib/core/evaluate.py
Line 55 in d742edd
norm = np.ones((pred.shape[0], 2)) * np.array([h, w]) / 10
norm = np.ones((pred.shape[0], 2)) * np.arra…
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### How to fix it?
### The error messages are below:
Number of Layers
Conv2d : 293 layers BatchNorm2d : 292 layers ReLU : 261 layers Bottleneck : 4 layers BasicBlock : 104 layers Upsamp…
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请问这个可以在windows上运行吗？
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Hi,
I noticed the links provided for the papers associated to the Compact and Dense U-Net architectures are wrong.
Both links are pointing to the ResNet paper "[Deep Residual Learning for Image Reco…
uvbkq updated
3 years ago
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an error appeared when I use numpy 1.18 for this code:
Traceback (most recent call last):
File "tools/train.py", line 210, in
main()
File "tools/train.py", line 180, in main
final…
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I use python 3.6.
In step Valid on COCO val2017 using pretrained models,
I did
sudo python3 pose_estimation/valid.py --cfg experiments/coco/resnet50/256x192_d256x3_adam_lr1e-3.yaml --flip-tes…