We provide gradio examples to obtain annotations that are aligned to our pretrained production-ready models.
Just run
python gradio_annotator.py
Since everyone has different habit to organize their datasets, we do not hard code any scripts for batch processing. But "gradio_annotator.py" is written in a super readable way, and modifying it to annotate your images should be easy.
In the gradio UI of "gradio_annotator.py" we have the following interfaces:
Be careful about "black edge and white background" or "white edge and black background".
Be careful about "black edge and white background" or "white edge and black background".
Be careful about "black edge and white background" or "white edge and black background".
Be careful about RGB or BGR in normal maps.
Be careful about RGB or BGR in pose maps.
For our production-ready model, the hand pose option is turned off.
Be careful about RGB or BGR in segmentation maps.
