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Merge pull request #20175 from rogday:dnn_samples_cuda
add cuda and vulkan backends to dnn samples
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@@ -5,8 +5,10 @@ import sys
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from common import *
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backends = (cv.dnn.DNN_BACKEND_DEFAULT, cv.dnn.DNN_BACKEND_HALIDE, cv.dnn.DNN_BACKEND_INFERENCE_ENGINE, cv.dnn.DNN_BACKEND_OPENCV)
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targets = (cv.dnn.DNN_TARGET_CPU, cv.dnn.DNN_TARGET_OPENCL, cv.dnn.DNN_TARGET_OPENCL_FP16, cv.dnn.DNN_TARGET_MYRIAD, cv.dnn.DNN_TARGET_HDDL)
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backends = (cv.dnn.DNN_BACKEND_DEFAULT, cv.dnn.DNN_BACKEND_HALIDE, cv.dnn.DNN_BACKEND_INFERENCE_ENGINE, cv.dnn.DNN_BACKEND_OPENCV,
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cv.dnn.DNN_BACKEND_VKCOM, cv.dnn.DNN_BACKEND_CUDA)
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targets = (cv.dnn.DNN_TARGET_CPU, cv.dnn.DNN_TARGET_OPENCL, cv.dnn.DNN_TARGET_OPENCL_FP16, cv.dnn.DNN_TARGET_MYRIAD, cv.dnn.DNN_TARGET_HDDL,
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cv.dnn.DNN_TARGET_VULKAN, cv.dnn.DNN_TARGET_CUDA, cv.dnn.DNN_TARGET_CUDA_FP16)
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parser = argparse.ArgumentParser(add_help=False)
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parser.add_argument('--zoo', default=os.path.join(os.path.dirname(os.path.abspath(__file__)), 'models.yml'),
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@@ -22,14 +24,19 @@ parser.add_argument('--backend', choices=backends, default=cv.dnn.DNN_BACKEND_DE
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"%d: automatically (by default), "
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"%d: Halide language (http://halide-lang.org/), "
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"%d: Intel's Deep Learning Inference Engine (https://software.intel.com/openvino-toolkit), "
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"%d: OpenCV implementation" % backends)
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"%d: OpenCV implementation, "
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"%d: VKCOM, "
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"%d: CUDA"% backends)
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parser.add_argument('--target', choices=targets, default=cv.dnn.DNN_TARGET_CPU, type=int,
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help='Choose one of target computation devices: '
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'%d: CPU target (by default), '
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'%d: OpenCL, '
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'%d: OpenCL fp16 (half-float precision), '
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'%d: NCS2 VPU, '
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'%d: HDDL VPU' % targets)
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'%d: HDDL VPU, '
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'%d: Vulkan, '
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'%d: CUDA, '
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'%d: CUDA fp16 (half-float preprocess)'% targets)
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args, _ = parser.parse_known_args()
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add_preproc_args(args.zoo, parser, 'segmentation')
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parser = argparse.ArgumentParser(parents=[parser],
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