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50 lines
1.2 KiB
Markdown
50 lines
1.2 KiB
Markdown
# Automatic Annotations
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We provide gradio examples to obtain annotations that are aligned to our pretrained production-ready models.
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Just run
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python gradio_annotator.py
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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.
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In the gradio UI of "gradio_annotator.py" we have the following interfaces:
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### Canny Edge
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Be careful about "black edge and white background" or "white edge and black background".
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### HED Edge
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Be careful about "black edge and white background" or "white edge and black background".
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### MLSD Edge
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Be careful about "black edge and white background" or "white edge and black background".
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### MIDAS Depth and Normal
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Be careful about RGB or BGR in normal maps.
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### Openpose
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Be careful about RGB or BGR in pose maps.
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For our production-ready model, the hand pose option is turned off.
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### Uniformer Segmentation
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Be careful about RGB or BGR in segmentation maps.
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