Add new configs for ocr (#295)
* save configs * add to benchmark * add datasets to benchmark * lock mmcor version to 0.3.0pull/1/head
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_base_ = ['./text-detection_dynamic.py', '../../_base_/backends/openvino.py']
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onnx_config = dict(strip_doc_string=False)
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_base_ = ['./text-detection_static.py', '../../_base_/backends/openvino.py']
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onnx_config = dict(input_shape=(640, 640), strip_doc_string=False)
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_base_ = ['./text-recognition_dynamic.py', '../../_base_/backends/pplnn.py']
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onnx_config = dict(input_shape=None)
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backend_config = dict(model_inputs=dict(opt_shape=[1, 1, 32, 32]))
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@ -11,7 +11,7 @@ Please refer to [install.md](https://github.com/open-mmlab/mmocr/blob/main/docs/
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| model | task | OnnxRuntime | TensorRT | NCNN | PPLNN | OpenVINO | model config file(example) |
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|-------|:----------------:|:-----------:|:--------:|:----:|:---:|:--------:|---------------------------------------------------------------------------|
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| DBNet | text-detection | Y | Y | Y | Y | Y | $PATH_TO_MMOCR/configs/textdet/dbnet/dbnet_r18_fpnc_1200e_icdar2015.py |
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| CRNN | text-recognition | Y | Y | Y | N | N | $PATH_TO_MMOCR/configs/textrecog/crnn/crnn_academic_dataset.py |
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| CRNN | text-recognition | Y | Y | Y | Y | N | $PATH_TO_MMOCR/configs/textrecog/crnn/crnn_academic_dataset.py |
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| SAR | text-recognition | Y | N | N | N | N | $PATH_TO_MMOCR/configs/textrecog/sar/sar_r31_parallel_decoder_academic.py |
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@ -115,7 +115,7 @@ The table below lists the models that are guaranteed to be exportable to other b
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| SRCNN | MMEditing | Y | Y | N | Y | N | $MMSEG_DIR/configs/restorers/srcnn/srcnn_x4k915_g1_1000k_div2k.py |
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| ESRGAN | MMEditing | Y | Y | N | Y | N | $MMSEG_DIR/configs/restorers/esrgan/esrgan_psnr_x4c64b23g32_g1_1000k_div2k.py |
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| DBNet | MMOCR | Y | Y | Y | Y | Y | $MMOCR_DIR/configs/textdet/dbnet/dbnet_r18_fpnc_1200e_icdar2015.py |
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| CRNN | MMOCR | Y | Y | Y | N | N | $MMOCR_DIR/configs/textrecog/crnn/crnn_academic_dataset.py |
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| CRNN | MMOCR | Y | Y | Y | Y | N | $MMOCR_DIR/configs/textrecog/crnn/crnn_academic_dataset.py |
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### Reminders
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mmcls>=0.15.0
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mmdet>=2.19.0
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mmedit
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mmocr>=0.3.0
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mmocr==0.3.0
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mmsegmentation
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ncnn
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onnxruntime>=1.8.0
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