Comments (3)
xingyizhou
commented on September 27, 2024
Hi,
You can try python src/demo.py -demo images/h36m_1214.png .
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tsly123
commented on September 27, 2024
Thank @xingyizhou
It's working now but the processing time for my 1080 is around 5 mins/image. During the process, I use nvidia-smi to check whether the GPU work or not. The code does not use GPU resource. Is it an error or just something wrong with my machine?
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xingyizhou
commented on September 27, 2024
Hi,
Sorry for the late reply. The code should run in GPU if set up correctly. 5 mins look un-reasonable even in CPU. Could you debug which line the code is stuck on? If it is model = torch.load('hgreg-3d.pth').cuda(), the problem might be the cudnn version doesn't fit your GPU, you should change to anther pytorch version (https://pytorch.org/previous-versions/).
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Related Issues (20)
- s = min(s, max(img.shape[0], img.shape[1])) * 1.0 AttributeError: 'NoneType' object has no attribute 'shape' HOT 4
- Confidence of Detected Joints
- The defination in dataset file
- h36m benchmark result for categories
- Stage1: 2D pre-trained model trained to epoch=0?
- about the permission of pre-processed Human3.6M dataset
- about the pre-processed of Human3.6M
- RUN ERROR
- Performance On MPI-INF Dataset
- The preprocess of mpii is incorrect when input_h!=input_w
- The src point is wrong in image.py
- some problems occur running demo HOT 2
- the model behave worse when detect the squat
- download the models HOT 2
- 段错误，核心已转储 HOT 1
- how to using the camera of my own pc??
- root joint
- I solved 。。。
- Is it possible to input 2D coordinates obtained by other methods to obtain 3D coordinates in your model?
- demo has error HOT 1
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