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/dports/multimedia/handbrake/ffmpeg-4.4/tests/fate/
H A Ddnn.mak1 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 …]
/dports/multimedia/ffmpeg/ffmpeg-4.4.1/tests/fate/
H A Ddnn.mak1 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 …]
/dports/www/chromium-legacy/chromium-88.0.4324.182/third_party/ffmpeg/tests/fate/
H A Ddnn.mak1 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 …]
/dports/multimedia/handbrake/ffmpeg-4.4/libavfilter/dnn/
H A DMakefile1 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 …]
/dports/multimedia/ffmpeg/ffmpeg-4.4.1/libavfilter/dnn/
H A DMakefile1 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 …]
/dports/www/chromium-legacy/chromium-88.0.4324.182/third_party/ffmpeg/libavfilter/dnn/
H A DMakefile1 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 …]
/dports/graphics/opencv/opencv-4.5.3/modules/dnn/misc/python/test/
H A Dtest_dnn.py58 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 …]
/dports/math/py-theano/Theano-1.0.5/theano/gpuarray/tests/
H A Dtest_dnn.py20 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 …]
/dports/graphics/opencv/opencv-4.5.3/samples/dnn/
H A Dhuman_parsing.py48 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,
H A Dclassification.py9 …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…
H A Dsegmentation.py8 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…
H A Dperson_reid.py23 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 …]
H A Dcustom_layers.hpp8 class InterpLayer : public cv::dnn::Layer
11 InterpLayer(const cv::dnn::LayerParams &params) : 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 &params);
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 …]
/dports/graphics/opencv/opencv-4.5.3/contrib/modules/julia/gen/
H A Dfunclist.csv279 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 …]
/dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/mkldnn/.github/
H A DCODEOWNERS18 * @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…
/dports/math/onednn/oneDNN-2.5.1/.github/
H A DCODEOWNERS18 * @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…
/dports/www/chromium-legacy/chromium-88.0.4324.182/third_party/ffmpeg/tests/dnn/
H A D.gitignore1 /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
H A DMakefile1 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
/dports/www/qt5-webengine/qtwebengine-everywhere-src-5.15.2/src/3rdparty/chromium/third_party/ffmpeg/libavfilter/dnn/
H A DMakefile1 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
/dports/graphics/opencv/opencv-4.5.3/contrib/modules/julia/test/
H A Dtest_dnn.jl14 …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")
/dports/graphics/opencv/opencv-4.5.3/modules/dnn/misc/python/
H A Dpyopencv_dnn.hpp2 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 …]
/dports/multimedia/handbrake/ffmpeg-4.4/tests/dnn/
H A DMakefile1 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
/dports/multimedia/ffmpeg/ffmpeg-4.4.1/tests/dnn/
H A DMakefile1 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
/dports/graphics/opencv/opencv-4.5.3/modules/gapi/misc/python/test/
H A Dtest_gapi_infer.py23 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 …]
/dports/graphics/opencv/opencv-4.5.3/contrib/modules/dnn_superres/src/
H A Ddnn_superres.cpp16 class DepthToSpace CV_FINAL : public cv::dnn::Layer
19 DepthToSpace(const cv::dnn::LayerParams &params);
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 &params) in create()
[all …]

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