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demo.py issue #15
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I think you are using pytorch 0.4.0. currently the code is suitable for 0.3.1. It'll update to 0.4.0 in few weeks. |
Yes, it is due to 0.4.0 Thanks, |
您好,请问下,你这个文件:mobilenet_v1_fssd_lite_voc_78.4.pth是怎么得到的?我的weight路径下什么都没有呀 @kaishijeng |
I've tried to use PyTorch 0.3.1 but now the problem is on the GPU that is not supported 😆 |
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Encounter an error when running demo.py below:
python3 ./demo.py --cfg=./experiments/cfgs/fssd_lite_mobilenetv1_train_voc.yml --demo=./experiments/person.jpg
===> Building model
/home/topspin/2TB/src/ssds.pytorch/lib/modeling/model_builder.py:51: UserWarning: volatile was removed and now has no effect. Use
with torch.no_grad():
instead.x = torch.autograd.Variable(x, volatile=True) #.cuda()
/usr/local/lib/python3.5/dist-packages/torch/nn/functional.py:1761: UserWarning: Default upsampling behavior when mode=bilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
"See the documentation of nn.Upsample for details.".format(mode))
==>Feature map size:
[(38, 38), (19, 19), (10, 10), (5, 5), (3, 3), (1, 1)]
/home/topspin/2TB/src/ssds.pytorch/lib/ssds.py:21: UserWarning: volatile was removed and now has no effect. Use
with torch.no_grad():
instead.self.priors = Variable(self.priorbox.forward(), volatile=True)
Utilize GPUs for computation
Number of GPU available 1
=> loading checkpoint ./weights/fssd_lite/mobilenet_v1_fssd_lite_voc_78.4.pth
/home/topspin/2TB/src/ssds.pytorch/lib/ssds.py:68: UserWarning: volatile was removed and now has no effect. Use
with torch.no_grad():
instead.x = Variable(self.preprocessor(img)[0].unsqueeze(0),volatile=True)
Traceback (most recent call last):
File "./demo.py", line 154, in
demo(args, args.demo_file)
File "./demo.py", line 59, in demo
_labels, _scores, _coords = object_detector.predict(image)
File "/home/topspin/2TB/src/ssds.pytorch/lib/ssds.py", line 82, in predict
detections = self.detector.forward(out)
File "/home/topspin/2TB/src/ssds.pytorch/lib/layers/functions/detection.py", line 151, in forward
ids, count = nms(boxes, scores, self.nms_thresh, self.top_k)
ValueError: not enough values to unpack (expected 2, got 0)
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