/dports/multimedia/handbrake/ffmpeg-4.4/tests/fate/ |
H A D | dnn.mak | 1 FATE_DNN += fate-dnn-layer-pad 2 fate-dnn-layer-pad: $(DNNTESTSDIR)/dnn-layer-pad-test$(EXESUF) 3 fate-dnn-layer-pad: CMD = run $(DNNTESTSDIR)/dnn-layer-pad-test$(EXESUF) 7 fate-dnn-layer-conv2d: $(DNNTESTSDIR)/dnn-layer-conv2d-test$(EXESUF) 8 fate-dnn-layer-conv2d: CMD = run $(DNNTESTSDIR)/dnn-layer-conv2d-test$(EXESUF) 12 fate-dnn-layer-dense: $(DNNTESTSDIR)/dnn-layer-dense-test$(EXESUF) 13 fate-dnn-layer-dense: CMD = run $(DNNTESTSDIR)/dnn-layer-dense-test$(EXESUF) 27 fate-dnn-layer-maximum: $(DNNTESTSDIR)/dnn-layer-maximum-test$(EXESUF) 32 fate-dnn-layer-mathunary: $(DNNTESTSDIR)/dnn-layer-mathunary-test$(EXESUF) 37 fate-dnn-layer-avgpool: $(DNNTESTSDIR)/dnn-layer-avgpool-test$(EXESUF) [all …]
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/dports/multimedia/ffmpeg/ffmpeg-4.4.1/tests/fate/ |
H A D | dnn.mak | 1 FATE_DNN += fate-dnn-layer-pad 2 fate-dnn-layer-pad: $(DNNTESTSDIR)/dnn-layer-pad-test$(EXESUF) 3 fate-dnn-layer-pad: CMD = run $(DNNTESTSDIR)/dnn-layer-pad-test$(EXESUF) 7 fate-dnn-layer-conv2d: $(DNNTESTSDIR)/dnn-layer-conv2d-test$(EXESUF) 8 fate-dnn-layer-conv2d: CMD = run $(DNNTESTSDIR)/dnn-layer-conv2d-test$(EXESUF) 12 fate-dnn-layer-dense: $(DNNTESTSDIR)/dnn-layer-dense-test$(EXESUF) 13 fate-dnn-layer-dense: CMD = run $(DNNTESTSDIR)/dnn-layer-dense-test$(EXESUF) 27 fate-dnn-layer-maximum: $(DNNTESTSDIR)/dnn-layer-maximum-test$(EXESUF) 32 fate-dnn-layer-mathunary: $(DNNTESTSDIR)/dnn-layer-mathunary-test$(EXESUF) 37 fate-dnn-layer-avgpool: $(DNNTESTSDIR)/dnn-layer-avgpool-test$(EXESUF) [all …]
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/dports/www/chromium-legacy/chromium-88.0.4324.182/third_party/ffmpeg/tests/fate/ |
H A D | dnn.mak | 1 FATE_DNN += fate-dnn-layer-pad 2 fate-dnn-layer-pad: $(DNNTESTSDIR)/dnn-layer-pad-test$(EXESUF) 3 fate-dnn-layer-pad: CMD = run $(DNNTESTSDIR)/dnn-layer-pad-test$(EXESUF) 7 fate-dnn-layer-conv2d: $(DNNTESTSDIR)/dnn-layer-conv2d-test$(EXESUF) 8 fate-dnn-layer-conv2d: CMD = run $(DNNTESTSDIR)/dnn-layer-conv2d-test$(EXESUF) 12 fate-dnn-layer-depth2space: $(DNNTESTSDIR)/dnn-layer-depth2space-test$(EXESUF) 17 fate-dnn-layer-mathbinary: $(DNNTESTSDIR)/dnn-layer-mathbinary-test$(EXESUF) 22 fate-dnn-layer-maximum: $(DNNTESTSDIR)/dnn-layer-maximum-test$(EXESUF) 27 fate-dnn-layer-mathunary: $(DNNTESTSDIR)/dnn-layer-mathunary-test$(EXESUF) 32 fate-dnn-layer-avgpool: $(DNNTESTSDIR)/dnn-layer-avgpool-test$(EXESUF) [all …]
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/dports/multimedia/handbrake/ffmpeg-4.4/libavfilter/dnn/ |
H A D | Makefile | 1 OBJS-$(CONFIG_DNN) += dnn/dnn_interface.o 2 OBJS-$(CONFIG_DNN) += dnn/dnn_io_proc.o 3 OBJS-$(CONFIG_DNN) += dnn/queue.o 4 OBJS-$(CONFIG_DNN) += dnn/safe_queue.o 5 OBJS-$(CONFIG_DNN) += dnn/dnn_backend_native.o 6 OBJS-$(CONFIG_DNN) += dnn/dnn_backend_native_layers.o 7 OBJS-$(CONFIG_DNN) += dnn/dnn_backend_native_layer_avgpool.o 8 OBJS-$(CONFIG_DNN) += dnn/dnn_backend_native_layer_dense.o 9 OBJS-$(CONFIG_DNN) += dnn/dnn_backend_native_layer_pad.o 16 DNN-OBJS-$(CONFIG_LIBTENSORFLOW) += dnn/dnn_backend_tf.o [all …]
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/dports/multimedia/ffmpeg/ffmpeg-4.4.1/libavfilter/dnn/ |
H A D | Makefile | 1 OBJS-$(CONFIG_DNN) += dnn/dnn_interface.o 2 OBJS-$(CONFIG_DNN) += dnn/dnn_io_proc.o 3 OBJS-$(CONFIG_DNN) += dnn/queue.o 4 OBJS-$(CONFIG_DNN) += dnn/safe_queue.o 5 OBJS-$(CONFIG_DNN) += dnn/dnn_backend_native.o 6 OBJS-$(CONFIG_DNN) += dnn/dnn_backend_native_layers.o 7 OBJS-$(CONFIG_DNN) += dnn/dnn_backend_native_layer_avgpool.o 8 OBJS-$(CONFIG_DNN) += dnn/dnn_backend_native_layer_dense.o 9 OBJS-$(CONFIG_DNN) += dnn/dnn_backend_native_layer_pad.o 16 DNN-OBJS-$(CONFIG_LIBTENSORFLOW) += dnn/dnn_backend_tf.o [all …]
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/dports/www/chromium-legacy/chromium-88.0.4324.182/third_party/ffmpeg/libavfilter/dnn/ |
H A D | Makefile | 1 OBJS-$(CONFIG_DNN) += dnn/dnn_interface.o 2 OBJS-$(CONFIG_DNN) += dnn/dnn_io_proc.o 3 OBJS-$(CONFIG_DNN) += dnn/dnn_backend_native.o 4 OBJS-$(CONFIG_DNN) += dnn/dnn_backend_native_layers.o 5 OBJS-$(CONFIG_DNN) += dnn/dnn_backend_native_layer_avgpool.o 6 OBJS-$(CONFIG_DNN) += dnn/dnn_backend_native_layer_dense.o 7 OBJS-$(CONFIG_DNN) += dnn/dnn_backend_native_layer_pad.o 8 OBJS-$(CONFIG_DNN) += dnn/dnn_backend_native_layer_conv2d.o 10 OBJS-$(CONFIG_DNN) += dnn/dnn_backend_native_layer_maximum.o 14 DNN-OBJS-$(CONFIG_LIBTENSORFLOW) += dnn/dnn_backend_tf.o [all …]
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/dports/graphics/opencv/opencv-4.5.3/modules/dnn/misc/python/test/ |
H A D | test_dnn.py | 58 cv.dnn.DNN_TARGET_CPU: 'CPU', 59 cv.dnn.DNN_TARGET_OPENCL: 'OCL', 81 [cv.dnn.DNN_BACKEND_OPENCV, cv.dnn.DNN_TARGET_CPU], 84 if self.checkIETarget(cv.dnn.DNN_BACKEND_INFERENCE_ENGINE, cv.dnn.DNN_TARGET_CPU): 85 … self.dnnBackendsAndTargets.append([cv.dnn.DNN_BACKEND_INFERENCE_ENGINE, cv.dnn.DNN_TARGET_CPU]) 86 if self.checkIETarget(cv.dnn.DNN_BACKEND_INFERENCE_ENGINE, cv.dnn.DNN_TARGET_MYRIAD): 90 self.dnnBackendsAndTargets.append([cv.dnn.DNN_BACKEND_OPENCV, cv.dnn.DNN_TARGET_OPENCL]) 91 … self.dnnBackendsAndTargets.append([cv.dnn.DNN_BACKEND_OPENCV, cv.dnn.DNN_TARGET_OPENCL_FP16]) 93 … if self.checkIETarget(cv.dnn.DNN_BACKEND_INFERENCE_ENGINE, cv.dnn.DNN_TARGET_OPENCL): 95 … if self.checkIETarget(cv.dnn.DNN_BACKEND_INFERENCE_ENGINE, cv.dnn.DNN_TARGET_OPENCL_FP16): [all …]
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/dports/math/py-theano/Theano-1.0.5/theano/gpuarray/tests/ |
H A D | test_dnn.py | 20 from .. import dnn 98 o1 = dnn.dnn_conv(img, kern) 99 o2 = dnn.dnn_conv(img, kern) 136 desc2 = dnn.GpuDnnConvDesc( 417 if not dnn.dnn_available(test_ctx_name) or dnn.version(raises=False) < 3000: 1604 if not dnn.dnn_available(test_ctx_name) or dnn.version(raises=False) < 6000: 1617 if not dnn.dnn_available(test_ctx_name) or dnn.version(raises=False) < 6000: 1631 if not dnn.dnn_available(test_ctx_name) or dnn.version(raises=False) < 6000: 1645 if not dnn.dnn_available(test_ctx_name) or dnn.version(raises=False) < 6000: 1659 if not dnn.dnn_available(test_ctx_name) or dnn.version(raises=False) < 6000: [all …]
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/dports/graphics/opencv/opencv-4.5.3/samples/dnn/ |
H A D | human_parsing.py | 48 backends = (cv.dnn.DNN_BACKEND_DEFAULT, cv.dnn.DNN_BACKEND_INFERENCE_ENGINE, cv.dnn.DNN_BACKEND_OPE… 49 cv.dnn.DNN_BACKEND_VKCOM, cv.dnn.DNN_BACKEND_CUDA) 50 targets = (cv.dnn.DNN_TARGET_CPU, cv.dnn.DNN_TARGET_OPENCL, cv.dnn.DNN_TARGET_OPENCL_FP16, cv.dnn.D… 51 …cv.dnn.DNN_TARGET_HDDL, cv.dnn.DNN_TARGET_VULKAN, cv.dnn.DNN_TARGET_CUDA, cv.dnn.DNN_TARGET_CUDA_F… 60 … input = cv.dnn.blobFromImages([image, image_rev], mean=(104.00698793, 116.66876762, 122.67891434)) 71 net = cv.dnn.readNet(model_path) 142 def parse_human(image, model_path, backend=cv.dnn.DNN_BACKEND_OPENCV, target=cv.dnn.DNN_TARGET_CPU): 163 parser.add_argument('--backend', choices=backends, default=cv.dnn.DNN_BACKEND_DEFAULT, type=int, 170 parser.add_argument('--target', choices=targets, default=cv.dnn.DNN_TARGET_CPU, type=int,
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H A D | classification.py | 9 …backends = (cv.dnn.DNN_BACKEND_DEFAULT, cv.dnn.DNN_BACKEND_HALIDE, cv.dnn.DNN_BACKEND_INFERENCE_EN… 10 cv.dnn.DNN_BACKEND_OPENCV, cv.dnn.DNN_BACKEND_VKCOM, cv.dnn.DNN_BACKEND_CUDA) 11 …targets = (cv.dnn.DNN_TARGET_CPU, cv.dnn.DNN_TARGET_OPENCL, cv.dnn.DNN_TARGET_OPENCL_FP16, cv.dnn.… 12 …cv.dnn.DNN_TARGET_HDDL, cv.dnn.DNN_TARGET_VULKAN, cv.dnn.DNN_TARGET_CUDA, cv.dnn.DNN_TARGET_CUDA_F… 30 parser.add_argument('--backend', choices=backends, default=cv.dnn.DNN_BACKEND_DEFAULT, type=int, 38 parser.add_argument('--target', choices=targets, default=cv.dnn.DNN_TARGET_CPU, type=int, 70 net = cv.dnn.readNet(args.model, args.config, args.framework) 91 …blob = cv.dnn.blobFromImage(frame, args.scale, (inpWidth, inpHeight), args.mean, args.rgb, crop=ar…
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H A D | segmentation.py | 8 backends = (cv.dnn.DNN_BACKEND_DEFAULT, cv.dnn.DNN_BACKEND_HALIDE, cv.dnn.DNN_BACKEND_INFERENCE_ENG… 9 cv.dnn.DNN_BACKEND_VKCOM, cv.dnn.DNN_BACKEND_CUDA) 10 targets = (cv.dnn.DNN_TARGET_CPU, cv.dnn.DNN_TARGET_OPENCL, cv.dnn.DNN_TARGET_OPENCL_FP16, cv.dnn.D… 11 cv.dnn.DNN_TARGET_VULKAN, cv.dnn.DNN_TARGET_CUDA, cv.dnn.DNN_TARGET_CUDA_FP16) 22 parser.add_argument('--backend', choices=backends, default=cv.dnn.DNN_BACKEND_DEFAULT, type=int, 30 parser.add_argument('--target', choices=targets, default=cv.dnn.DNN_TARGET_CPU, type=int, 83 net = cv.dnn.readNet(args.model, args.config, args.framework) 104 …blob = cv.dnn.blobFromImage(frame, args.scale, (inpWidth, inpHeight), args.mean, args.rgb, crop=Fa…
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H A D | person_reid.py | 23 cv.dnn.DNN_BACKEND_OPENCV, 24 cv.dnn.DNN_BACKEND_VKCOM, 25 cv.dnn.DNN_BACKEND_CUDA) 27 targets = (cv.dnn.DNN_TARGET_CPU, 28 cv.dnn.DNN_TARGET_OPENCL, 29 cv.dnn.DNN_TARGET_OPENCL_FP16, 30 cv.dnn.DNN_TARGET_MYRIAD, 31 cv.dnn.DNN_TARGET_HDDL, 32 cv.dnn.DNN_TARGET_VULKAN, 33 cv.dnn.DNN_TARGET_CUDA, [all …]
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H A D | custom_layers.hpp | 8 class InterpLayer : public cv::dnn::Layer 11 InterpLayer(const cv::dnn::LayerParams ¶ms) : Layer(params) in InterpLayer() 17 static cv::Ptr<cv::dnn::Layer> create(cv::dnn::LayerParams& params) in create() 19 return cv::Ptr<cv::dnn::Layer>(new InterpLayer(params)); in create() 100 class ResizeBilinearLayer CV_FINAL : public cv::dnn::Layer 129 static cv::Ptr<cv::dnn::Layer> create(cv::dnn::LayerParams& params) in create() 230 class MyLayer : public cv::dnn::Layer 234 MyLayer(const cv::dnn::LayerParams ¶ms); 238 static cv::Ptr<cv::dnn::Layer> create(cv::dnn::LayerParams& params); 272 …cv::dnn::Net caffeNet = cv::dnn::readNet("/path/to/config.prototxt", "/path/to/weights.caffemodel"… in loadNet() [all …]
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/dports/graphics/opencv/opencv-4.5.3/contrib/modules/julia/gen/ |
H A D | funclist.csv | 279 cv.dnn.Net.Net 281 cv.dnn.Net.empty 282 cv.dnn.Net.dump 286 cv.dnn.Net.forward 289 cv.dnn.Net.setInput 290 cv.dnn.Net.setParam 291 cv.dnn.Net.getParam 292 cv.dnn.Net.getFLOPS 300 cv.dnn.readNet 310 cv.dnn.NMSBoxes [all …]
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/dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/mkldnn/.github/ |
H A D | CODEOWNERS | 18 * @intel-innersource/dnn-arch 21 *.md @intel-innersource/dnn-doc @intel-innersource/dnn-mgmt @intel-innersource/dnn-arch 22 /doc/ @intel-innersource/dnn-doc @intel-innersource/dnn-arch 25 /src/cpu/ @intel-innersource/dnn-cpu 28 /src/cpu/gemm/ @intel-innersource/dnn-blas @intel-innersource/dnn-arch 31 /src/gpu/ @intel-innersource/dnn-gpu 34 /tests/benchdnn/inputs/ @intel-innersource/dnn-arch @intel-innersource/dnn-cpu @intel-innersource/d…
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/dports/math/onednn/oneDNN-2.5.1/.github/ |
H A D | CODEOWNERS | 18 * @intel-innersource/dnn-arch 21 *.md @intel-innersource/dnn-doc @intel-innersource/dnn-mgmt @intel-innersource/dnn-arch 22 /doc/ @intel-innersource/dnn-doc @intel-innersource/dnn-arch 25 /src/cpu/ @intel-innersource/dnn-cpu 28 /src/cpu/gemm/ @intel-innersource/dnn-blas @intel-innersource/dnn-arch 31 /src/gpu/ @intel-innersource/dnn-gpu 34 /tests/benchdnn/inputs/ @intel-innersource/dnn-arch @intel-innersource/dnn-cpu @intel-innersource/d…
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/dports/www/chromium-legacy/chromium-88.0.4324.182/third_party/ffmpeg/tests/dnn/ |
H A D | .gitignore | 1 /dnn-layer-conv2d-test 2 /dnn-layer-depth2space-test 3 /dnn-layer-maximum-test 4 /dnn-layer-pad-test 5 /dnn-layer-mathbinary-test 6 /dnn-layer-mathunary-test 7 /dnn-layer-avgpool-test 8 /dnn-layer-dense-test
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H A D | Makefile | 1 DNNTESTPROGS += dnn-layer-pad 2 DNNTESTPROGS += dnn-layer-conv2d 3 DNNTESTPROGS += dnn-layer-depth2space 4 DNNTESTPROGS += dnn-layer-mathbinary 5 DNNTESTPROGS += dnn-layer-maximum 6 DNNTESTPROGS += dnn-layer-mathunary 7 DNNTESTPROGS += dnn-layer-avgpool
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/dports/www/qt5-webengine/qtwebengine-everywhere-src-5.15.2/src/3rdparty/chromium/third_party/ffmpeg/libavfilter/dnn/ |
H A D | Makefile | 1 OBJS-$(CONFIG_DNN) += dnn/dnn_interface.o 2 OBJS-$(CONFIG_DNN) += dnn/dnn_backend_native.o 3 OBJS-$(CONFIG_DNN) += dnn/dnn_backend_native_layers.o 4 OBJS-$(CONFIG_DNN) += dnn/dnn_backend_native_layer_pad.o 5 OBJS-$(CONFIG_DNN) += dnn/dnn_backend_native_layer_conv2d.o 6 OBJS-$(CONFIG_DNN) += dnn/dnn_backend_native_layer_depth2space.o 7 OBJS-$(CONFIG_DNN) += dnn/dnn_backend_native_layer_maximum.o 9 DNN-OBJS-$(CONFIG_LIBTENSORFLOW) += dnn/dnn_backend_tf.o
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/dports/graphics/opencv/opencv-4.5.3/contrib/modules/julia/test/ |
H A D | test_dnn.jl | 14 …t = cv.dnn.DetectionModel(joinpath(ENV["OPENCV_TEST_DATA_PATH"], "dnn", "opencv_face_detector.pbtx… 17 cv.dnn.setPreferableTarget(net, cv.dnn.DNN_TARGET_CPU) 18 cv.dnn.setInputMean(net, (104, 177, 123)) 19 cv.dnn.setInputScale(net, 1.) 20 cv.dnn.setInputSize(net, size0, size0) 25 classIds, confidences, boxes = cv.dnn.detect(net, img, confThreshold=Float32(0.5)) 32 print("dnn test passed\n")
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/dports/graphics/opencv/opencv-4.5.3/modules/dnn/misc/python/ |
H A D | pyopencv_dnn.hpp | 2 typedef dnn::DictValue LayerId; 3 typedef std::vector<dnn::MatShape> vector_MatShape; 14 dv = dnn::DictValue((int64)PyLong_AsLongLong(o)); in pyopencv_to() 19 dv = dnn::DictValue((int64)PyInt_AS_LONG(o)); in pyopencv_to() 24 dv = dnn::DictValue(PyFloat_AsDouble(o)); in pyopencv_to() 32 dv = dnn::DictValue(str); in pyopencv_to() 40 PyObject* pyopencv_from(const dnn::DictValue &dv) in pyopencv_from() 54 PyObject* pyopencv_from(const dnn::DictValue &dv) in pyopencv_from() 64 PyObject* pyopencv_from(const dnn::LayerParams& lp) in pyopencv_from() 80 class pycvLayer CV_FINAL : public dnn::Layer [all …]
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/dports/multimedia/handbrake/ffmpeg-4.4/tests/dnn/ |
H A D | Makefile | 1 DNNTESTPROGS += dnn-layer-pad 2 DNNTESTPROGS += dnn-layer-conv2d 3 DNNTESTPROGS += dnn-layer-depth2space 4 DNNTESTPROGS += dnn-layer-dense 5 DNNTESTPROGS += dnn-layer-mathbinary 6 DNNTESTPROGS += dnn-layer-maximum 7 DNNTESTPROGS += dnn-layer-mathunary 8 DNNTESTPROGS += dnn-layer-avgpool
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/dports/multimedia/ffmpeg/ffmpeg-4.4.1/tests/dnn/ |
H A D | Makefile | 1 DNNTESTPROGS += dnn-layer-pad 2 DNNTESTPROGS += dnn-layer-conv2d 3 DNNTESTPROGS += dnn-layer-depth2space 4 DNNTESTPROGS += dnn-layer-dense 5 DNNTESTPROGS += dnn-layer-mathbinary 6 DNNTESTPROGS += dnn-layer-maximum 7 DNNTESTPROGS += dnn-layer-mathunary 8 DNNTESTPROGS += dnn-layer-avgpool
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/dports/graphics/opencv/opencv-4.5.3/modules/gapi/misc/python/test/ |
H A D | test_gapi_infer.py | 23 net.setPreferableTarget(cv.dnn.DNN_TARGET_CPU) 25 blob = cv.dnn.blobFromImage(img) 37 … if not cv.dnn.DNN_TARGET_CPU in cv.dnn.getAvailableTargets(cv.dnn.DNN_BACKEND_INFERENCE_ENGINE): 72 … if not cv.dnn.DNN_TARGET_CPU in cv.dnn.getAvailableTargets(cv.dnn.DNN_BACKEND_INFERENCE_ENGINE): 111 … if not cv.dnn.DNN_TARGET_CPU in cv.dnn.getAvailableTargets(cv.dnn.DNN_BACKEND_INFERENCE_ENGINE): 160 … if not cv.dnn.DNN_TARGET_CPU in cv.dnn.getAvailableTargets(cv.dnn.DNN_BACKEND_INFERENCE_ENGINE): 210 … if not cv.dnn.DNN_TARGET_CPU in cv.dnn.getAvailableTargets(cv.dnn.DNN_BACKEND_INFERENCE_ENGINE): 223 net.setPreferableTarget(cv.dnn.DNN_TARGET_CPU) 225 blob = cv.dnn.blobFromImage(img) 269 … if not cv.dnn.DNN_TARGET_CPU in cv.dnn.getAvailableTargets(cv.dnn.DNN_BACKEND_INFERENCE_ENGINE): [all …]
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/dports/graphics/opencv/opencv-4.5.3/contrib/modules/dnn_superres/src/ |
H A D | dnn_superres.cpp | 16 class DepthToSpace CV_FINAL : public cv::dnn::Layer 19 DepthToSpace(const cv::dnn::LayerParams ¶ms); 21 static cv::Ptr<cv::dnn::Layer> create(cv::dnn::LayerParams& params); 40 dnn::LayerParams layerParams = dnn::LayerParams(); in registerLayer() 66 this->net = dnn::readNetFromTensorflow(path); in readModel() 131 dnn::blobFromImage(Y, blob, 1.0); in upsample() 140 dnn::imagesFromBlob(blob_output, model_outs); in upsample() 165 dnn::imagesFromBlob(blob_output, model_outs); in upsample() 208 dnn::blobFromImage(Y, blob, 1.0); in upsampleMultioutput() 306 cv::Ptr<cv::dnn::Layer> DepthToSpace::create(cv::dnn::LayerParams ¶ms) in create() [all …]
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