Closed seulqxq closed 1 month ago
I've got this problem :( For the moment, no solution :(
Find a solution in deleting "0" in the code :
original_masks = [np.array(Image.open(mask).resize(image.size))[:, :, 0] / 255.0 for mask, image in zip(masks, original_images)]
Becomes original_masks = [np.array(Image.open(mask).resize(image.size))[:, :,] / 255.0 for mask, image in zip(masks, original_images)]
I will try with my others pictures and tell you if it's ok ^^
Hi, I want to train using the rabbit dataset, using the mask generated by segment_anything.ipynb, but running python pred_poses.py -s data/realcap/rabbit --sparse_num 4 gets wrong. Here is the data: