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data-hound avatar data-hound commented on June 30, 2024

Hi @yuan0821

For training on custom data, you need both COM and DANNCE (keypoint) labels. So,

  1. As a first step, you will have to label the COM for a few frames and train the COM network on the labelled frames. Then, generate COM predictions - these COM predictions will be used in DANNCE training
  2. In the second step, you will have to label the desired set of keypoints, and train DANNCE network - this will create the label3d_dannce.mat file.

For the first step, you need to use the \Label3D\skeletons\com.mat as the skeleton file. Check Label3D Readme for details on how to use it to label COM and keypoints.

For the second step, you need to use Label3D again to make a few labelled frames, and then train on those. If you are using rats, you can use the rat23.mat skeleton. If you are using mice, you can use the following file: https://github.com/spoonsso/dannce/blob/master/configs/mouse22_skeleton.mat

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yuan0821 avatar yuan0821 commented on June 30, 2024

Hi, thanks for your reply. I still wonder where can I find the pre-trained 3-camera COM weight network before finetune. Thank you. Comments #62 has given the pre-trained 3-dannce weight, is it the same weight used in com-train and com-predict? Thank you!

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spoonsso avatar spoonsso commented on June 30, 2024

@yuan0821 the COM network works for any number of views -- frames are processed individually.

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