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[Backend] Add OCR、Seg、 KeypointDetection、Matting、 ernie-3.0 and adaface models for XPU Deploy (#960)
* [FlyCV] Bump up FlyCV -> official release 1.0.0 * add seg models for XPU * add ocr model for XPU * add matting * add matting python * fix infer.cc * add keypointdetection support for XPU * Add adaface support for XPU * add ernie-3.0 * fix doc Co-authored-by: DefTruth <qiustudent_r@163.com> Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
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examples/vision/keypointdetection/tiny_pose/python/README.md
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examples/vision/keypointdetection/tiny_pose/python/README.md
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@@ -25,6 +25,8 @@ python pptinypose_infer.py --tinypose_model_dir PP_TinyPose_256x192_infer --imag
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python pptinypose_infer.py --tinypose_model_dir PP_TinyPose_256x192_infer --image hrnet_demo.jpg --device gpu
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# GPU上使用TensorRT推理 (注意:TensorRT推理第一次运行,有序列化模型的操作,有一定耗时,需要耐心等待)
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python pptinypose_infer.py --tinypose_model_dir PP_TinyPose_256x192_infer --image hrnet_demo.jpg --device gpu --use_trt True
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# XPU推理
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python pptinypose_infer.py --tinypose_model_dir PP_TinyPose_256x192_infer --image hrnet_demo.jpg --device xpu
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```
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运行完成可视化结果如下图所示
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examples/vision/keypointdetection/tiny_pose/python/pptinypose_infer.py
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examples/vision/keypointdetection/tiny_pose/python/pptinypose_infer.py
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@@ -17,7 +17,7 @@ def parse_arguments():
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"--device",
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type=str,
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default='cpu',
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help="type of inference device, support 'cpu' or 'gpu'.")
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help="type of inference device, support 'cpu', 'xpu' or 'gpu'.")
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parser.add_argument(
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"--use_trt",
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type=ast.literal_eval,
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@@ -32,6 +32,9 @@ def build_tinypose_option(args):
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if args.device.lower() == "gpu":
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option.use_gpu()
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if args.device.lower() == "xpu":
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option.use_xpu()
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if args.use_trt:
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option.use_trt_backend()
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option.set_trt_input_shape("image", [1, 3, 256, 192])
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