cv::dnn::DNN_BACKEND_DEFAULT = 0 cv::dnn::DNN_BACKEND_HALIDE cv::dnn::DNN_BACKEND_INFERENCE_ENGINE cv::dnn::DNN_BACKEND_OPENCV cv::dnn::DNN_BACKEND_VKCOM cv::dnn::DNN_BACKEND_CUDA 由Net::SetPreferobleBackend设置优先
cv2.error: OpenCV(4.1.0-openvino) /home/jenkins/workspace/OpenCV/OpenVINO/build/opencv/modules/dnn/src/op_inf_engine.cpp:747: error: (-215:Assertion failed) Failed to initialize Inference Engine backend: aspect_ratio param can't be equal to...
注意这里preferableBackend的值,可以是以DNN_BACKEND_开头,以OPENCV,HALIDE,INFERENCE_ENGINE_NN_BUILDER_2019,INFERENCE_ENGINE_NGRAPH,VKCOM,CUDA等结尾的任意一种。不同的值,表示要使用不同的库来完成具体的算子。如果需要添加新的算子,只要在这里添加一个else if 分枝,就可以在这里初始化算子。 实际上,以上各值是...
cv2.error: OpenCV(4.5.3-openvino) C:\jenkins\workspace\windows6296ace0\opencv\modules\dnn\src\ie_ngraph.cpp:738: error: (-2:Unspecified error) Failed to initialize Inference Engine backend (device = MYRIAD): Failed to allocate graph: NC_ERROR in function 'cv::dnn::InfE...
setPreferableBackend(int backendId); setPreferableTarget(int targetId); 1. 2. 参数: backendId:指定计算后台,可填参数: DNN_BACKEND_DEFAULT DNN_BACKEND_INFERENCE_ENGINE DNN_BACKEND_OPENCV targetId:指定计算设备,可填参数: DNN_TARGET_CPU // 使用CPU推理 ...
//输入是backend的标识符 //如果使用Intel的推理引擎库,DNN_BACKEND_DEFAULT默认表示 //DNN_BACKEND_INFERENCE_ENGINE 否则是DNN_BACKEND_OPENCV. CV_WRAP void setPreferableBackend(int backendId); //指定特定的计算设备 //输入是目标设备的标识符 /* ...
cv::dnn::DNN_BACKEND_INFERENCE_ENGINE cv::dnn::DNN_BACKEND_OPENCV cv::dnn::DNN_BACKEND_VKCOM cv::dnn::DNN_BACKEND_CUDA 由Net::SetPreferobleBackend设置优先考虑的后端优化库。 (3)截至OpenCV4.5支持的硬件平台包括 cv::dnn::DNN_TARGET_CPU = 0 ...
CUDNN_BACKEND_DEVICEPROP_DESCRIPTOR CUDNN_ATTR_DEVICEPROP_DEVICE_ID CUDNN_ATTR_DEVICEPROP_HANDLE CUDNN_ATTR_DEVICEPROP_JSON_REPRESENTATION CUDNN_ATTR_ENGINE_DEVICEPROP CUDNN_ATTR_ENGINEHEUR_DEVICEPROP CUDNN_ATTR_EXECUTION_PLAN_DEVICEPROP Deprecated Enums: CUDNN_ATTR_OPERATIONGRAPH_HANDLE CUDNN_ATTR...
self.net.setPreferableBackend(cv2.dnn.DNN_BACKEND_CUDA) self.net.setPreferableTarget(cv2.dnn.DNN_TARGET_CUDA)def get_dnn_inference( self, blob, extract=True, squeeze=False ): self.net.setInput(blob) outs = self.net.forward(self.net.getUnconnectedOutLayersNames()) ...
sudo pip install opencv-python 使用: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 from cv2importdnn 代码语言:javascript 代码运行次数:0 运行 AI代码解释 # Variableswithsimple valuesDNN_BACKEND_DEFAULT=0DNN_BACKEND_HALIDE=1DNN_BACKEND_INFERENCE_ENGINE=2DNN_BACKEND_OPENCV=3DNN_BACKEND_VKCOM=4DN...