If the joint predictions are incorrect, you can run python fix_annotations.py to launch a web interface to visualize, correct, and update the annotations. ![]() If the mask predictions are incorrect, you can edit the mask with an image editing program like Paint or Photoshop. These annotations were created from our model predictions. Mask.png, texture.png, and char_cfg.yaml contain annotation results of the image character analysis step. You may notice that, when you ran python image_to_animation.py drawings/garlic.png garlic_out, there were additional non-video files within garlic_out. (animated_drawings) examples % python image_to_animation.py drawings/garlic.png garlic_outĪs you waited, the image located at drawings/garlic.png was analyzed, the character detected, segmented, and rigged, and it was animated using BVH motion data from a human actor.
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