lzhyu
lzhyu
https://github.com/JiahaoPlus/SAGA/blob/ecaed33b580afbfa61a29a8b6bd4ad019de91108/WholeGraspPose/models/fittingop.py#L183-L184 In line 183, it seems that the third positional argument should be the normals of markers.
https://github.com/safwankdb/ReCoNet-PyTorch/blob/8d6d98a32968d87c5ae26aed0aae0adb3dfa94f6/totaldata.py#L112-L115 Here the shape of flow has been permuted, so it should be `flow[0, :, :] *= float(flow.shape[1])/originalflow.shape[0]`, `flow[1, :, :] *= float(flow.shape[2])/originalflow.shape[1]`
Thanks for your great work! Would you mind sharing the code to train the evaluation model interclip? I'm investigating its performance and your help would be appreciated.
Hi, Thanks for your great work. I'm trying to reproduce the results in the paper. The paper states, "At test time, we construct the set C at each step and...