mmdeploy/configs/mmocr/text-detection/text-detection_mrcnn_onnxruntime_dynamic.py

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_base_ = ['./text-detection_static.py', '../../_base_/backends/onnxruntime.py']
onnx_config = dict(
output_names=['dets', 'labels', 'masks'],
dynamic_axes=dict(
input=dict({
0: 'batch',
2: 'height',
3: 'width'
}),
dets=dict({
0: 'batch',
1: 'num_dets'
}),
labels=dict({
0: 'batch',
1: 'num_dets'
}),
masks=dict({
0: 'batch',
1: 'num_dets',
2: 'height',
3: 'width'
})))
codebase_config = dict(
post_processing=dict(
score_threshold=0.05,
confidence_threshold=0.005,
iou_threshold=0.5,
max_output_boxes_per_class=200,
pre_top_k=5000,
keep_top_k=100,
background_label_id=-1,
export_postprocess_mask=False))