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* sdk inference * fix typo * fix typo * add convert things * fix missling name * add cls support * add more pytorch rewriter * add det support * support det wip * make Model export model_path * fix nms * add output back * add docstring * fix lint * add coreml build action * add zh docs * add coreml backend check * update ci * update * update * update * update * update * fix lint * update configs * add return value when error occured * update docs * update docs * update docs * fix lint * udpate docs * udpate docs * update Co-authored-by: grimoire <streetyao@live.com>
15 lines
400 B
Python
15 lines
400 B
Python
_base_ = [
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'../_base_/torchscript_config.py', '../_base_/backends/coreml.py',
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'./segmentation_static.py'
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]
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ir_config = dict(input_shape=[1024, 512])
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backend_config = dict(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, 512, 1024],
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max_shape=[1, 3, 512, 1024],
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default_shape=[1, 3, 512, 1024])))
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])
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