Comments (11)
@zhangxiaopang88 : This error is becausing in python 3, division is resulting in a float. Need to // to convert to int. To solve this in layer.py, in line 14 and line 49, change padding to:
padding=((kernel_size[0]-1)//2,(kernel_size[1]-1)//2)
from gcc-sfcn.
Previously I had that problem too. For me, I just change the line 14 in CC.py to
self.CCN = torch.nn.DataParallel(self.CCN, device_ids=[0]).cuda()
Then everything is working. For details you may refer to Here.
from gcc-sfcn.
First of all, thank you very much.I tried your method, but it failed.
from gcc-sfcn.
@Yellow-Champagne @duanzhiihao Thanks for your attention!
According to the limited information provided by your, I think it is the problem of keys in ResSFCN.
Our model is trained on multiple GPUs, so the keys contain modules
. If you want to train SFCN on single GPU, you should remove modules
.
@Yellow-Champagne Can you provide more detailed info for this error? For example, Error location, error log in terminal? Thanks!
from gcc-sfcn.
Traceback (most recent call last):
File "F:/Object-Detection/Crowd-Counting/node/GCC-SFCN-master/train.py", line 204, in
main()
File "F:/Object-Detection/Crowd-Counting/node/GCC-SFCN-master/train.py", line 55, in main
net = CrowdCounter().cuda()
File "F:\Object-Detection\Crowd-Counting\node\GCC-SFCN-master\models\CC.py", line 11, in init
self.CCN = net()
File "F:\Object-Detection\Crowd-Counting\node\GCC-SFCN-master\models\resSFCN.py", line 33, in init
res.load_state_dict(pre_wts)
File "D:\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 721, in load_state_dict
self.class.name, "\n\t".join(error_msgs)))
RuntimeError: Error(s) in loading state_dict for ResNet:
Missing key(s) in state_dict: "conv1.weight", "bn1.running_var", "bn1.running_mean", "bn1.weight", "bn1.bias", "layer1.0.conv1.weight", "layer1.0.bn1.running_var", "layer1.0.bn1.running_mean", "layer1.0.bn1.weight", "layer1.0.bn1.bias", "layer1.0.conv2.weight", "layer1.0.bn2.running_var", "layer1.0.bn2.running_mean", "layer1.0.bn2.weight", "layer1.0.bn2.bias", "layer1.0.conv3.weight", "layer1.0.bn3.running_var", "layer1.0.bn3.running_mean", "layer1.0.bn3.weight", "layer1.0.bn3.bias", "layer1.0.downsample.0.weight", "layer1.0.downsample.1.running_var", "layer1.0.downsample.1.running_mean", "layer1.0.downsample.1.weight", "layer1.0.downsample.1.bias", "layer1.1.conv1.weight", "layer1.1.bn1.running_var", "layer1.1.bn1.running_mean", "layer1.1.bn1.weight", "layer1.1.bn1.bias", "layer1.1.conv2.weight", "layer1.1.bn2.running_var", "layer1.1.bn2.running_mean", "layer1.1.bn2.weight", "layer1.1.bn2.bias", "layer1.1.conv3.weight", "layer1.1.bn3.running_var", "layer1.1.bn3.running_mean", "layer1.1.bn3.weight", "layer1.1.bn3.bias", "layer1.2.conv1.weight", "layer1.2.bn1.running_var", "layer1.2.bn1.running_mean", "layer1.2.bn1.weight", "layer1.2.bn1.bias", "layer1.2.conv2.weight", "layer1.2.bn2.running_var", "layer1.2.bn2.running_mean", "layer1.2.bn2.weight", "layer1.2.bn2.bias", "layer1.2.conv3.weight", "layer1.2.bn3.running_var", "layer1.2.bn3.running_mean", "layer1.2.bn3.weight", "layer1.2.bn3.bias", "layer2.0.conv1.weight", "layer2.0.bn1.running_var", "layer2.0.bn1.running_mean", "layer2.0.bn1.weight", "layer2.0.bn1.bias", "layer2.0.conv2.weight", "layer2.0.bn2.running_var", "layer2.0.bn2.running_mean", "layer2.0.bn2.weight", "layer2.0.bn2.bias", "layer2.0.conv3.weight", "layer2.0.bn3.running_var", "layer2.0.bn3.running_mean", "layer2.0.bn3.weight", "layer2.0.bn3.bias", "layer2.0.downsample.0.weight", "layer2.0.downsample.1.running_var", "layer2.0.downsample.1.running_mean", "layer2.0.downsample.1.weight", "layer2.0.downsample.1.bias", "layer2.1.conv1.weight", "layer2.1.bn1.running_var", "layer2.1.bn1.running_mean", "layer2.1.bn1.weight", "layer2.1.bn1.bias", "layer2.1.conv2.weight", "layer2.1.bn2.running_var", "layer2.1.bn2.running_mean", "layer2.1.bn2.weight", "layer2.1.bn2.bias", "layer2.1.conv3.weight", "layer2.1.bn3.running_var", "layer2.1.bn3.running_mean", "layer2.1.bn3.weight", "layer2.1.bn3.bias", "layer2.2.conv1.weight", "layer2.2.bn1.running_var", "layer2.2.bn1.running_mean", "layer2.2.bn1.weight", "layer2.2.bn1.bias", "layer2.2.conv2.weight", "layer2.2.bn2.running_var", "layer2.2.bn2.running_mean", "layer2.2.bn2.weight", "layer2.2.bn2.bias", "layer2.2.conv3.weight", "layer2.2.bn3.running_var", "layer2.2.bn3.running_mean", "layer2.2.bn3.weight", "layer2.2.bn3.bias", "layer2.3.conv1.weight", "layer2.3.bn1.running_var", "layer2.3.bn1.running_mean", "layer2.3.bn1.weight", "layer2.3.bn1.bias", "layer2.3.conv2.weight", "layer2.3.bn2.running_var", "layer2.3.bn2.running_mean", "layer2.3.bn2.weight", "layer2.3.bn2.bias", "layer2.3.conv3.weight", "layer2.3.bn3.running_var", "layer2.3.bn3.running_mean", "layer2.3.bn3.weight", "layer2.3.bn3.bias", "layer3.0.conv1.weight", "layer3.0.bn1.running_var", "layer3.0.bn1.running_mean", "layer3.0.bn1.weight", "layer3.0.bn1.bias", "layer3.0.conv2.weight", "layer3.0.bn2.running_var", "layer3.0.bn2.running_mean", "layer3.0.bn2.weight", "layer3.0.bn2.bias", "layer3.0.conv3.weight", "layer3.0.bn3.running_var", "layer3.0.bn3.running_mean", "layer3.0.bn3.weight", "layer3.0.bn3.bias", "layer3.0.downsample.0.weight", "layer3.0.downsample.1.running_var", "layer3.0.downsample.1.running_mean", "layer3.0.downsample.1.weight", "layer3.0.downsample.1.bias", "layer3.1.conv1.weight", "layer3.1.bn1.running_var", "layer3.1.bn1.running_mean", "layer3.1.bn1.weight", "layer3.1.bn1.bias", "layer3.1.conv2.weight", "layer3.1.bn2.running_var", "layer3.1.bn2.running_mean", "layer3.1.bn2.weight", "layer3.1.bn2.bias", "layer3.1.conv3.weight", "layer3.1.bn3.running_var", "layer3.1.bn3.running_mean", "layer3.1.bn3.weight", "layer3.1.bn3.bias", "layer3.2.conv1.weight", "layer3.2.bn1.running_var", "layer3.2.bn1.running_mean", "layer3.2.bn1.weight", "layer3.2.bn1.bias", "layer3.2.conv2.weight", "layer3.2.bn2.running_var", "layer3.2.bn2.running_mean", "layer3.2.bn2.weight", "layer3.2.bn2.bias", "layer3.2.conv3.weight", "layer3.2.bn3.running_var", "layer3.2.bn3.running_mean", "layer3.2.bn3.weight", "layer3.2.bn3.bias", "layer3.3.conv1.weight", "layer3.3.bn1.running_var", "layer3.3.bn1.running_mean", "layer3.3.bn1.weight", "layer3.3.bn1.bias", "layer3.3.conv2.weight", "layer3.3.bn2.running_var", "layer3.3.bn2.running_mean", "layer3.3.bn2.weight", "layer3.3.bn2.bias", "layer3.3.conv3.weight", "layer3.3.bn3.running_var", "layer3.3.bn3.running_mean", "layer3.3.bn3.weight", "layer3.3.bn3.bias", "layer3.4.conv1.weight", "layer3.4.bn1.running_var", "layer3.4.bn1.running_mean", "layer3.4.bn1.weight", "layer3.4.bn1.bias", "layer3.4.conv2.weight", "layer3.4.bn2.running_var", "layer3.4.bn2.running_mean", "layer3.4.bn2.weight", "layer3.4.bn2.bias", "layer3.4.conv3.weight", "layer3.4.bn3.running_var", "layer3.4.bn3.running_mean", "layer3.4.bn3.weight", "layer3.4.bn3.bias", "layer3.5.conv1.weight", "layer3.5.bn1.running_var", "layer3.5.bn1.running_mean", "layer3.5.bn1.weight", "layer3.5.bn1.bias", "layer3.5.conv2.weight", "layer3.5.bn2.running_var", "layer3.5.bn2.running_mean", "layer3.5.bn2.weight", "layer3.5.bn2.bias", "layer3.5.conv3.weight", "layer3.5.bn3.running_var", "layer3.5.bn3.running_mean", "layer3.5.bn3.weight", "layer3.5.bn3.bias", "layer3.6.conv1.weight", "layer3.6.bn1.running_var", "layer3.6.bn1.running_mean", "layer3.6.bn1.weight", "layer3.6.bn1.bias", "layer3.6.conv2.weight", "layer3.6.bn2.running_var", "layer3.6.bn2.running_mean", "layer3.6.bn2.weight", "layer3.6.bn2.bias", "layer3.6.conv3.weight", "layer3.6.bn3.running_var", "layer3.6.bn3.running_mean", "layer3.6.bn3.weight", "layer3.6.bn3.bias", "layer3.7.conv1.weight", "layer3.7.bn1.running_var", "layer3.7.bn1.running_mean", "layer3.7.bn1.weight", "layer3.7.bn1.bias", "layer3.7.conv2.weight", "layer3.7.bn2.running_var", "layer3.7.bn2.running_mean", "layer3.7.bn2.weight", "layer3.7.bn2.bias", "layer3.7.conv3.weight", "layer3.7.bn3.running_var", "layer3.7.bn3.running_mean", "layer3.7.bn3.weight", "layer3.7.bn3.bias", "layer3.8.conv1.weight", "layer3.8.bn1.running_var", "layer3.8.bn1.running_mean", "layer3.8.bn1.weight", "layer3.8.bn1.bias", "layer3.8.conv2.weight", "layer3.8.bn2.running_var", "layer3.8.bn2.running_mean", "layer3.8.bn2.weight", "layer3.8.bn2.bias", "layer3.8.conv3.weight", "layer3.8.bn3.running_var", "layer3.8.bn3.running_mean", "layer3.8.bn3.weight", "layer3.8.bn3.bias", "layer3.9.conv1.weight", "layer3.9.bn1.running_var", "layer3.9.bn1.running_mean", "layer3.9.bn1.weight", "layer3.9.bn1.bias", "layer3.9.conv2.weight", "layer3.9.bn2.running_var", "layer3.9.bn2.running_mean", "layer3.9.bn2.weight", "layer3.9.bn2.bias", "layer3.9.conv3.weight", "layer3.9.bn3.running_var", "layer3.9.bn3.running_mean", "layer3.9.bn3.weight", "layer3.9.bn3.bias", "layer3.10.conv1.weight", "layer3.10.bn1.running_var", "layer3.10.bn1.running_mean", "layer3.10.bn1.weight", "layer3.10.bn1.bias", "layer3.10.conv2.weight", "layer3.10.bn2.running_var", "layer3.10.bn2.running_mean", "layer3.10.bn2.weight", "layer3.10.bn2.bias", "layer3.10.conv3.weight", "layer3.10.bn3.running_var", "layer3.10.bn3.running_mean", "layer3.10.bn3.weight", "layer3.10.bn3.bias", "layer3.11.conv1.weight", "layer3.11.bn1.running_var", "layer3.11.bn1.running_mean", "layer3.11.bn1.weight", "layer3.11.bn1.bias", "layer3.11.conv2.weight", "layer3.11.bn2.running_var", "layer3.11.bn2.running_mean", "layer3.11.bn2.weight", "layer3.11.bn2.bias", "layer3.11.conv3.weight", "layer3.11.bn3.running_var", "layer3.11.bn3.running_mean", "layer3.11.bn3.weight", "layer3.11.bn3.bias", "layer3.12.conv1.weight", "layer3.12.bn1.running_var", "layer3.12.bn1.running_mean", "layer3.12.bn1.weight", "layer3.12.bn1.bias", "layer3.12.conv2.weight", "layer3.12.bn2.running_var", "layer3.12.bn2.running_mean", "layer3.12.bn2.weight", "layer3.12.bn2.bias", "layer3.12.conv3.weight", "layer3.12.bn3.running_var", "layer3.12.bn3.running_mean", "layer3.12.bn3.weight", "layer3.12.bn3.bias", "layer3.13.conv1.weight", "layer3.13.bn1.running_var", "layer3.13.bn1.running_mean", "layer3.13.bn1.weight", "layer3.13.bn1.bias", "layer3.13.conv2.weight", "layer3.13.bn2.running_var", "layer3.13.bn2.running_mean", "layer3.13.bn2.weight", "layer3.13.bn2.bias", "layer3.13.conv3.weight", "layer3.13.bn3.running_var", "layer3.13.bn3.running_mean", "layer3.13.bn3.weight", "layer3.13.bn3.bias", "layer3.14.conv1.weight", "layer3.14.bn1.running_var", "layer3.14.bn1.running_mean", "layer3.14.bn1.weight", "layer3.14.bn1.bias", "layer3.14.conv2.weight", "layer3.14.bn2.running_var", "layer3.14.bn2.running_mean", "layer3.14.bn2.weight", "layer3.14.bn2.bias", "layer3.14.conv3.weight", "layer3.14.bn3.running_var", "layer3.14.bn3.running_mean", "layer3.14.bn3.weight", "layer3.14.bn3.bias", "layer3.15.conv1.weight", "layer3.15.bn1.running_var", "layer3.15.bn1.running_mean", "layer3.15.bn1.weight", "layer3.15.bn1.bias", "layer3.15.conv2.weight", "layer3.15.bn2.running_var", "layer3.15.bn2.running_mean", "layer3.15.bn2.weight", "layer3.15.bn2.bias", "layer3.15.conv3.weight", "layer3.15.bn3.running_var", "layer3.15.bn3.running_mean", "layer3.15.bn3.weight", "layer3.15.bn3.bias", "layer3.16.conv1.weight", "layer3.16.bn1.running_var", "layer3.16.bn1.running_mean", "layer3.16.bn1.weight", "layer3.16.bn1.bias", "layer3.16.conv2.weight", "layer3.16.bn2.running_var", "layer3.16.bn2.running_mean", "layer3.16.bn2.weight", "layer3.16.bn2.bias", "layer3.16.conv3.weight", "layer3.16.bn3.running_var", "layer3.16.bn3.running_mean", "layer3.16.bn3.weight", "layer3.16.bn3.bias", "layer3.17.conv1.weight", "layer3.17.bn1.running_var", "layer3.17.bn1.running_mean", "layer3.17.bn1.weight", "layer3.17.bn1.bias", "layer3.17.conv2.weight", "layer3.17.bn2.running_var", "layer3.17.bn2.running_mean", "layer3.17.bn2.weight", "layer3.17.bn2.bias", "layer3.17.conv3.weight", "layer3.17.bn3.running_var", "layer3.17.bn3.running_mean", "layer3.17.bn3.weight", "layer3.17.bn3.bias", "layer3.18.conv1.weight", "layer3.18.bn1.running_var", "layer3.18.bn1.running_mean", "layer3.18.bn1.weight", "layer3.18.bn1.bias", "layer3.18.conv2.weight", "layer3.18.bn2.running_var", "layer3.18.bn2.running_mean", "layer3.18.bn2.weight", "layer3.18.bn2.bias", "layer3.18.conv3.weight", "layer3.18.bn3.running_var", "layer3.18.bn3.running_mean", "layer3.18.bn3.weight", "layer3.18.bn3.bias", "layer3.19.conv1.weight", "layer3.19.bn1.running_var", "layer3.19.bn1.running_mean", "layer3.19.bn1.weight", "layer3.19.bn1.bias", "layer3.19.conv2.weight", "layer3.19.bn2.running_var", "layer3.19.bn2.running_mean", "layer3.19.bn2.weight", "layer3.19.bn2.bias", "layer3.19.conv3.weight", "layer3.19.bn3.running_var", "layer3.19.bn3.running_mean", "layer3.19.bn3.weight", "layer3.19.bn3.bias", "layer3.20.conv1.weight", "layer3.20.bn1.running_var", "layer3.20.bn1.running_mean", "layer3.20.bn1.weight", "layer3.20.bn1.bias", "layer3.20.conv2.weight", "layer3.20.bn2.running_var", "layer3.20.bn2.running_mean", "layer3.20.bn2.weight", "layer3.20.bn2.bias", "layer3.20.conv3.weight", "layer3.20.bn3.running_var", "layer3.20.bn3.running_mean", "layer3.20.bn3.weight", "layer3.20.bn3.bias", "layer3.21.conv1.weight", "layer3.21.bn1.running_var", "layer3.21.bn1.running_mean", "layer3.21.bn1.weight", "layer3.21.bn1.bias", "layer3.21.conv2.weight", "layer3.21.bn2.running_var", "layer3.21.bn2.running_mean", "layer3.21.bn2.weight", "layer3.21.bn2.bias", "layer3.21.conv3.weight", "layer3.21.bn3.running_var", "layer3.21.bn3.running_mean", "layer3.21.bn3.weight", "layer3.21.bn3.bias", "layer3.22.conv1.weight", "layer3.22.bn1.running_var", "layer3.22.bn1.running_mean", "layer3.22.bn1.weight", "layer3.22.bn1.bias", "layer3.22.conv2.weight", "layer3.22.bn2.running_var", "layer3.22.bn2.running_mean", "layer3.22.bn2.weight", "layer3.22.bn2.bias", "layer3.22.conv3.weight", "layer3.22.bn3.running_var", "layer3.22.bn3.running_mean", "layer3.22.bn3.weight", "layer3.22.bn3.bias", "layer4.0.conv1.weight", "layer4.0.bn1.running_var", "layer4.0.bn1.running_mean", "layer4.0.bn1.weight", "layer4.0.bn1.bias", "layer4.0.conv2.weight", "layer4.0.bn2.running_var", "layer4.0.bn2.running_mean", "layer4.0.bn2.weight", "layer4.0.bn2.bias", "layer4.0.conv3.weight", "layer4.0.bn3.running_var", "layer4.0.bn3.running_mean", "layer4.0.bn3.weight", "layer4.0.bn3.bias", "layer4.0.downsample.0.weight", "layer4.0.downsample.1.running_var", "layer4.0.downsample.1.running_mean", "layer4.0.downsample.1.weight", "layer4.0.downsample.1.bias", "layer4.1.conv1.weight", "layer4.1.bn1.running_var", "layer4.1.bn1.running_mean", "layer4.1.bn1.weight", "layer4.1.bn1.bias", "layer4.1.conv2.weight", "layer4.1.bn2.running_var", "layer4.1.bn2.running_mean", "layer4.1.bn2.weight", "layer4.1.bn2.bias", "layer4.1.conv3.weight", "layer4.1.bn3.running_var", "layer4.1.bn3.running_mean", "layer4.1.bn3.weight", "layer4.1.bn3.bias", "layer4.2.conv1.weight", "layer4.2.bn1.running_var", "layer4.2.bn1.running_mean", "layer4.2.bn1.weight", "layer4.2.bn1.bias", "layer4.2.conv2.weight", "layer4.2.bn2.running_var", "layer4.2.bn2.running_mean", "layer4.2.bn2.weight", "layer4.2.bn2.bias", "layer4.2.conv3.weight", "layer4.2.bn3.running_var", "layer4.2.bn3.running_mean", "layer4.2.bn3.weight", "layer4.2.bn3.bias", "fc.weight", "fc.bias".
Unexpected key(s) in state_dict: "CCN.module.backend.0.weight", "CCN.module.backend.0.bias", "CCN.module.backend.2.weight", "CCN.module.backend.2.bias", "CCN.module.backend.4.weight", "CCN.module.backend.4.bias", "CCN.module.backend.6.weight", "CCN.module.backend.6.bias", "CCN.module.backend.8.weight", "CCN.module.backend.8.bias", "CCN.module.backend.10.weight", "CCN.module.backend.10.bias", "CCN.module.convDU.conv.0.weight", "CCN.module.convDU.conv.0.bias", "CCN.module.convLR.conv.0.weight", "CCN.module.convLR.conv.0.bias", "CCN.module.frontend.0.weight", "CCN.module.frontend.1.weight", "CCN.module.frontend.1.bias", "CCN.module.frontend.1.running_mean", "CCN.module.frontend.1.running_var", "CCN.module.frontend.4.0.conv1.weight", "CCN.module.frontend.4.0.bn1.weight", "CCN.module.frontend.4.0.bn1.bias", "CCN.module.frontend.4.0.bn1.running_mean", "CCN.module.frontend.4.0.bn1.running_var", "CCN.module.frontend.4.0.conv2.weight", "CCN.module.frontend.4.0.bn2.weight", 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"CCN.module.own_reslayer_3.22.bn1.running_mean", "CCN.module.own_reslayer_3.22.bn1.running_var", "CCN.module.own_reslayer_3.22.conv2.weight", "CCN.module.own_reslayer_3.22.bn2.weight", "CCN.module.own_reslayer_3.22.bn2.bias", "CCN.module.own_reslayer_3.22.bn2.running_mean", "CCN.module.own_reslayer_3.22.bn2.running_var", "CCN.module.own_reslayer_3.22.conv3.weight", "CCN.module.own_reslayer_3.22.bn3.weight", "CCN.module.own_reslayer_3.22.bn3.bias", "CCN.module.own_reslayer_3.22.bn3.running_mean", "CCN.module.own_reslayer_3.22.bn3.running_var", "CCN.module.output_layer.0.weight", "CCN.module.output_layer.0.bias".
from gcc-sfcn.
Line 33 in resSFCN.py
, the purpose is loading resnet 101, so you should download it from this link.
Our provided model is resSFCN trained on GCC, it will be loaded in Line 58 in train.py
.
from gcc-sfcn.
Thank you very much, I have succeeded.
from gcc-sfcn.
你好,我之前遇到楼上同样的错误,我也按照您说的方法修改了,但是上个问题解决了,又出现一下错误,您看是哪边出问题了
Traceback (most recent call last):
File "test_myimg.py", line 176, in
main()
File "test_myimg.py", line 46, in main
test(file_list[0], model_path)
File "test_myimg.py", line 52, in test
net.load_state_dict(torch.load(model_path))
File "/home/jan/anaconda3/lib/python3.6/site-packages/torch/nn/modules/module.py", line 769, in load_state_dict
self.class.name, "\n\t".join(error_msgs)))
RuntimeError: Error(s) in loading state_dict for CrowdCounter:
Missing key(s) in state_dict: "CCN.backend.0.weight", "CCN.backend.0.bias", "CCN.backend.2.weight", "CCN.backend.2.bias", "CCN.backend.4.weight", "CCN.backend.4.bias", "CCN.backend.6.weight", "CCN.backend.6.bias", "CCN.backend.8.weight", "CCN.backend.8.bias", "CCN.backend.10.weight", "CCN.backend.10.bias", "CCN.convDU.conv.0.weight", "CCN.convDU.conv.0.bias", "CCN.convLR.conv.0.weight", "CCN.convLR.conv.0.bias", "CCN.output_layer.0.weight", "CCN.output_layer.0.bias", "CCN.frontend.0.weight", "CCN.frontend.1.weight", "CCN.frontend.1.bias", "CCN.frontend.1.running_mean", "CCN.frontend.1.running_var", "CCN.frontend.4.0.conv1.weight", "CCN.frontend.4.0.bn1.weight", "CCN.frontend.4.0.bn1.bias", "CCN.frontend.4.0.bn1.running_mean", "CCN.frontend.4.0.bn1.running_var", "CCN.frontend.4.0.conv2.weight", "CCN.frontend.4.0.bn2.weight", "CCN.frontend.4.0.bn2.bias", "CCN.frontend.4.0.bn2.running_mean", "CCN.frontend.4.0.bn2.running_var", "CCN.frontend.4.0.conv3.weight", "CCN.frontend.4.0.bn3.weight", "CCN.frontend.4.0.bn3.bias", "CCN.frontend.4.0.bn3.running_mean", "CCN.frontend.4.0.bn3.running_var", "CCN.frontend.4.0.downsample.0.weight", "CCN.frontend.4.0.downsample.1.weight", "CCN.frontend.4.0.downsample.1.bias", "CCN.frontend.4.0.downsample.1.running_mean", "CCN.frontend.4.0.downsample.1.running_var", "CCN.frontend.4.1.conv1.weight", "CCN.frontend.4.1.bn1.weight", "CCN.frontend.4.1.bn1.bias", "CCN.frontend.4.1.bn1.running_mean", "CCN.frontend.4.1.bn1.running_var", "CCN.frontend.4.1.conv2.weight", "CCN.frontend.4.1.bn2.weight", "CCN.frontend.4.1.bn2.bias", "CCN.frontend.4.1.bn2.running_mean", "CCN.frontend.4.1.bn2.running_var", "CCN.frontend.4.1.conv3.weight", "CCN.frontend.4.1.bn3.weight", "CCN.frontend.4.1.bn3.bias", "CCN.frontend.4.1.bn3.running_mean", "CCN.frontend.4.1.bn3.running_var", "CCN.frontend.4.2.conv1.weight", "CCN.frontend.4.2.bn1.weight", "CCN.frontend.4.2.bn1.bias", "CCN.frontend.4.2.bn1.running_mean", 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"CCN.module.own_reslayer_3.20.conv3.weight", "CCN.module.own_reslayer_3.20.bn3.weight", "CCN.module.own_reslayer_3.20.bn3.bias", "CCN.module.own_reslayer_3.20.bn3.running_mean", "CCN.module.own_reslayer_3.20.bn3.running_var", "CCN.module.own_reslayer_3.21.conv1.weight", "CCN.module.own_reslayer_3.21.bn1.weight", "CCN.module.own_reslayer_3.21.bn1.bias", "CCN.module.own_reslayer_3.21.bn1.running_mean", "CCN.module.own_reslayer_3.21.bn1.running_var", "CCN.module.own_reslayer_3.21.conv2.weight", "CCN.module.own_reslayer_3.21.bn2.weight", "CCN.module.own_reslayer_3.21.bn2.bias", "CCN.module.own_reslayer_3.21.bn2.running_mean", "CCN.module.own_reslayer_3.21.bn2.running_var", "CCN.module.own_reslayer_3.21.conv3.weight", "CCN.module.own_reslayer_3.21.bn3.weight", "CCN.module.own_reslayer_3.21.bn3.bias", "CCN.module.own_reslayer_3.21.bn3.running_mean", "CCN.module.own_reslayer_3.21.bn3.running_var", "CCN.module.own_reslayer_3.22.conv1.weight", "CCN.module.own_reslayer_3.22.bn1.weight", "CCN.module.own_reslayer_3.22.bn1.bias", "CCN.module.own_reslayer_3.22.bn1.running_mean", "CCN.module.own_reslayer_3.22.bn1.running_var", "CCN.module.own_reslayer_3.22.conv2.weight", "CCN.module.own_reslayer_3.22.bn2.weight", "CCN.module.own_reslayer_3.22.bn2.bias", "CCN.module.own_reslayer_3.22.bn2.running_mean", "CCN.module.own_reslayer_3.22.bn2.running_var", "CCN.module.own_reslayer_3.22.conv3.weight", "CCN.module.own_reslayer_3.22.bn3.weight", "CCN.module.own_reslayer_3.22.bn3.bias", "CCN.module.own_reslayer_3.22.bn3.running_mean", "CCN.module.own_reslayer_3.22.bn3.running_var".
from gcc-sfcn.
from gcc-sfcn.
@gjy3035 我把训练的gpu改为[0,1]就解决这个问题了。我测试自己的图片需要把自己的图片生成密度图吗,现在出现以下问题,请问您遇到过吗
test_myimg.py:99: UserWarning: volatile was removed and now has no effect. Use with torch.no_grad():
instead.
img = Variable(img[None,:,:,:],volatile=True).cuda()
/home/jan/anaconda3/lib/python3.6/site-packages/torch/tensor.py:287: UserWarning: non-inplace resize is deprecated
warnings.warn("non-inplace resize is deprecated")
Traceback (most recent call last):
File "test_myimg.py", line 176, in
main()
File "test_myimg.py", line 46, in main
test(file_list[0], model_path)
File "test_myimg.py", line 102, in test
pred_map = net.test_forward(img)
File "/home/jan/WORKSPACE/CHR/People/FCN_people/GCC-SFCN-master/models/CC.py", line 38, in test_forward
density_map = self.CCN(img)
File "/home/jan/anaconda3/lib/python3.6/site-packages/torch/nn/modules/module.py", line 489, in call
result = self.forward(*input, **kwargs)
File "/home/jan/anaconda3/lib/python3.6/site-packages/torch/nn/parallel/data_parallel.py", line 143, in forward
outputs = self.parallel_apply(replicas, inputs, kwargs)
File "/home/jan/anaconda3/lib/python3.6/site-packages/torch/nn/parallel/data_parallel.py", line 153, in parallel_apply
return parallel_apply(replicas, inputs, kwargs, self.device_ids[:len(replicas)])
File "/home/jan/anaconda3/lib/python3.6/site-packages/torch/nn/parallel/parallel_apply.py", line 83, in parallel_apply
raise output
File "/home/jan/anaconda3/lib/python3.6/site-packages/torch/nn/parallel/parallel_apply.py", line 59, in _worker
output = module(*input, **kwargs)
File "/home/jan/anaconda3/lib/python3.6/site-packages/torch/nn/modules/module.py", line 489, in call
result = self.forward(*input, **kwargs)
File "/home/jan/WORKSPACE/CHR/People/FCN_people/GCC-SFCN-master/models/resSFCN.py", line 52, in forward
x = self.convDU(x)
File "/home/jan/anaconda3/lib/python3.6/site-packages/torch/nn/modules/module.py", line 489, in call
result = self.forward(*input, **kwargs)
File "/home/jan/WORKSPACE/CHR/People/FCN_people/GCC-SFCN-master/models/layer.py", line 27, in forward
fea_stack.append(self.conv(fea_stack[i-1])+i_fea)
File "/home/jan/anaconda3/lib/python3.6/site-packages/torch/nn/modules/module.py", line 489, in call
result = self.forward(*input, **kwargs)
File "/home/jan/anaconda3/lib/python3.6/site-packages/torch/nn/modules/container.py", line 92, in forward
input = module(input)
File "/home/jan/anaconda3/lib/python3.6/site-packages/torch/nn/modules/module.py", line 489, in call
result = self.forward(*input, **kwargs)
File "/home/jan/anaconda3/lib/python3.6/site-packages/torch/nn/modules/conv.py", line 320, in forward
self.padding, self.dilation, self.groups)
TypeError: conv2d(): argument 'padding' must be tuple of ints, but found element of type float at pos 1
from gcc-sfcn.
I met the same problem as you , and I fixed this by change the config.py line23
__C.NET = 'Res101' # net selection: Res101_SFCN, MCNN, AlexNet, VGG, VGG_DECODER, Res50, CSRNet, SANet
Maybe, you have to change the __C.NET to the same as the pre-trained model you are using.
from gcc-sfcn.
Related Issues (20)
- Cannot reproduce the results for SHTA and UCF-QNRF dataset with cyclegan translated images
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from gcc-sfcn.