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* WIP ocr * add mrcnn rewrite * add any rewrite for abinet * export abinet to onnx * fix abinet onnx export * support abinet to tensorrt static and modify mmocr.yml * add textsnake and dbnetpp * support mrcnn in ORT and TRT * add a condition before update data_preprocessor scope * update doc and mmocr.yml * add ut * markdown and simple config * write build_pytorch_model in child class * update any_default * remove where in abi_language_decoder___get_length__default * keep where * fix UT * fix UT * fix UT * update mmocr.yml and config description * tensorrt-fp32 -> tensorrt * update doc
34 lines
876 B
Python
34 lines
876 B
Python
_base_ = ['./text-detection_static.py', '../../_base_/backends/onnxruntime.py']
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onnx_config = dict(
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output_names=['dets', 'labels', 'masks'],
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dynamic_axes=dict(
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input=dict({
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0: 'batch',
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2: 'height',
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3: 'width'
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}),
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dets=dict({
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0: 'batch',
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1: 'num_dets'
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}),
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labels=dict({
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0: 'batch',
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1: 'num_dets'
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}),
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masks=dict({
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0: 'batch',
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1: 'num_dets',
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2: 'height',
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3: 'width'
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})))
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codebase_config = dict(
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post_processing=dict(
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score_threshold=0.05,
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confidence_threshold=0.005,
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iou_threshold=0.5,
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max_output_boxes_per_class=200,
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pre_top_k=5000,
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keep_top_k=100,
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background_label_id=-1,
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export_postprocess_mask=False))
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