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fd21b98efa
* [Docs] add the support information about MMPose Hourglass * * add Hourglass support config * update benchmark doc * modify Hourglass AP under pytorch backend * add regression test for Hourglass * *update 03-benchmark/benchmark.md * * modify mmpose.yml to ignore ncnn int8 test * add trt_fp16 test results * * add openvino test result * * modify supported_models.md
14 lines
438 B
Python
14 lines
438 B
Python
_base_ = ['./pose-detection_static.py', '../_base_/backends/tensorrt.py']
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onnx_config = dict(input_shape=[256, 256])
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backend_config = dict(
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common_config=dict(max_workspace_size=1 << 30),
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model_inputs=[
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dict(
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input_shapes=dict(
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input=dict(
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min_shape=[1, 3, 256, 256],
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opt_shape=[1, 3, 256, 256],
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max_shape=[1, 3, 256, 256])))
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])
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