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Hello, I use the smplx template for training and only train the graphcnn module. In the process of training, I get good output results, but when I load checkpoint to run demo, I can't get good results most of the time. Do you have any suggestions
In addition, will the parameters of resnet50 network be updated? Even if the pretrained model is used, will it affect the output of demo
Thank you!
The text was updated successfully, but these errors were encountered:
moondabaojian
changed the title
Running ‘demopy' can't get good results
Running ‘demo.py' can't get good results
Jun 2, 2020
Hello, I have problem on training the network, I can't get good results even in the process of training. I only use Human3.6M, COCO and LSP dataset for training. Would you mind helping me?My email address is [email protected]
Hello, I use the smplx template for training and only train the graphcnn module. In the process of training, I get good output results, but when I load checkpoint to run demo, I can't get good results most of the time. Do you have any suggestions
In addition, will the parameters of resnet50 network be updated? Even if the pretrained model is used, will it affect the output of demo
Thank you!
The text was updated successfully, but these errors were encountered: