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[Benchmark] Add ppocr && ppseg benchmark (#1344)
* add GPL lisence * add GPL-3.0 lisence * add GPL-3.0 lisence * add GPL-3.0 lisence * support yolov8 * add pybind for yolov8 * add yolov8 readme * add cpp benchmark * add cpu and gpu mem * public part split * add runtime mode * fixed bugs * add cpu_thread_nums * deal with comments * deal with comments * deal with comments * rm useless code * add FASTDEPLOY_DECL * add FASTDEPLOY_DECL * fixed for windows * mv rss to pss * mv rss to pss * Update utils.cc * use thread to collect mem * Add ResourceUsageMonitor * rm useless code * fixed bug * fixed typo * update ResourceUsageMonitor * fixed bug * fixed bug * add note for ResourceUsageMonitor * deal with comments * add macros * deal with comments * deal with comments * deal with comments * re-lint * rm pmap and use mem api * rm pmap and use mem api * add mem api * Add PrintBenchmarkInfo func * Add PrintBenchmarkInfo func * Add PrintBenchmarkInfo func * deal with comments * fixed enable_paddle_to_trt * add log for paddle_trt * support ppcls benchmark * use new trt option api * update benchmark info * simplify benchmark.cc * simplify benchmark.cc * deal with comments * Add ppseg && ppocr benchmark * add OCR rec img * add ocr benchmark * fixed trt shape * add trt shape * resolve conflict * add ENABLE_BENCHMARK define --------- Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
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@@ -83,18 +83,18 @@ def build_option(args):
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elif backend in ["trt", "paddle_trt"]:
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option.use_trt_backend()
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if "Deeplabv3_ResNet101" in args.model or "FCN_HRNet_W18" in args.model or "Unet_cityscapes" in args.model or "PP_LiteSeg_B_STDC2_cityscapes" in args.model:
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option.set_trt_input_shape("x", [1, 3, 1024, 2048],
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[1, 3, 1024,
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2048], [1, 3, 1024, 2048])
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option.trt_option.set_shape("x", [1, 3, 1024, 2048],
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[1, 3, 1024, 2048],
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[1, 3, 1024, 2048])
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elif "Portrait_PP_HumanSegV2_Lite_256x144" in args.model:
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option.set_trt_input_shape("x", [1, 3, 144, 256],
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[1, 3, 144, 256], [1, 3, 144, 256])
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option.trt_option.set_shape(
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"x", [1, 3, 144, 256], [1, 3, 144, 256], [1, 3, 144, 256])
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elif "PP_HumanSegV1_Server" in args.model:
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option.set_trt_input_shape("x", [1, 3, 512, 512],
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[1, 3, 512, 512], [1, 3, 512, 512])
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option.trt_option.set_shape(
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"x", [1, 3, 512, 512], [1, 3, 512, 512], [1, 3, 512, 512])
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else:
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option.set_trt_input_shape("x", [1, 3, 192, 192],
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[1, 3, 192, 192], [1, 3, 192, 192])
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option.trt_option.set_shape(
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"x", [1, 3, 192, 192], [1, 3, 192, 192], [1, 3, 192, 192])
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if backend == "paddle_trt":
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option.paddle_infer_option.collect_trt_shape = True
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option.use_paddle_infer_backend()
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