[{"title":"( 2936 个子文件 13.93MB ) nx上编译成功的ncnn,可以适配在虚拟机和ARM核心板上","children":[{"title":".gitmodules <span style='color:#111;'> 185B </span>","children":null,"spread":false},{"title":"squeezenet_int8.param <span style='color:#111;'> 7.10KB </span>","children":null,"spread":false},{"title":"efficientnetv2_b0.param <span style='color:#111;'> 27.75KB </span>","children":null,"spread":false},{"title":"alexnet.param <span style='color:#111;'> 1.64KB </span>","children":null,"spread":false},{"title":"efficientnet_b0.param <span style='color:#111;'> 19.74KB </span>","children":null,"spread":false},{"title":"vgg16.param <span style='color:#111;'> 2.75KB </span>","children":null,"spread":false},{"title":"resnet50_int8.param <span style='color:#111;'> 13.39KB </span>","children":null,"spread":false},{"title":"mobilenet_v2.param <span style='color:#111;'> 12.35KB </span>","children":null,"spread":false},{"title":"proxylessnasnet.param <span style='color:#111;'> 11.72KB </span>","children":null,"spread":false},{"title":"mobilenet.param <span style='color:#111;'> 4.36KB </span>","children":null,"spread":false},{"title":"resnet18.param <span style='color:#111;'> 6.99KB </span>","children":null,"spread":false},{"title":"regnety_400m.param <span style='color:#111;'> 19.24KB </span>","children":null,"spread":false},{"title":"resnet50.param <span style='color:#111;'> 15.48KB </span>","children":null,"spread":false},{"title":"googlenet_int8.param <span style='color:#111;'> 14.92KB </span>","children":null,"spread":false},{"title":"blazeface.param <span style='color:#111;'> 9.11KB </span>","children":null,"spread":false},{"title":"mobilenet_ssd.param <span style='color:#111;'> 14.06KB </span>","children":null,"spread":false},{"title":"yolo-fastestv2.param <span style='color:#111;'> 14.78KB </span>","children":null,"spread":false},{"title":"resnet18_int8.param <span style='color:#111;'> 6.01KB </span>","children":null,"spread":false},{"title":"yolov4-tiny.param <span style='color:#111;'> 6.39KB </span>","children":null,"spread":false},{"title":"nanodet_m.param <span style='color:#111;'> 20.43KB </span>","children":null,"spread":false},{"title":"shufflenet_v2.param <span style='color:#111;'> 15.44KB </span>","children":null,"spread":false},{"title":"mobilenetv2_yolov3.param <span style='color:#111;'> 11.15KB </span>","children":null,"spread":false},{"title":"squeezenet_ssd_int8.param <span style='color:#111;'> 16.87KB </span>","children":null,"spread":false},{"title":"shufflenet.param <span style='color:#111;'> 18.04KB </span>","children":null,"spread":false},{"title":"mobilenet_yolo.param <span style='color:#111;'> 5.69KB </span>","children":null,"spread":false},{"title":"mobilenet_int8.param <span style='color:#111;'> 3.89KB </span>","children":null,"spread":false},{"title":"yolo-fastest-1.1.param <span style='color:#111;'> 17.49KB </span>","children":null,"spread":false},{"title":"CMakeLists.txt <span style='color:#111;'> 530B </span>","children":null,"spread":false},{"title":"squeezenet_ssd.param <span style='color:#111;'> 19.44KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 185.31KB </span>","children":null,"spread":false},{"title":"squeezenet.param <span style='color:#111;'> 8.03KB </span>","children":null,"spread":false},{"title":"mobilenet_v3.param <span style='color:#111;'> 14.45KB </span>","children":null,"spread":false},{"title":"googlenet.param <span style='color:#111;'> 16.85KB </span>","children":null,"spread":false},{"title":"mobilenet_ssd_int8.param <span style='color:#111;'> 12.17KB </span>","children":null,"spread":false},{"title":"mnasnet.param <span style='color:#111;'> 9.73KB </span>","children":null,"spread":false},{"title":"benchncnn.cpp <span style='color:#111;'> 8.44KB </span>","children":null,"spread":false},{"title":"vgg16_int8.param <span style='color:#111;'> 2.35KB </span>","children":null,"spread":false},{"title":"ncnn_generate_rvv_source.cmake <span style='color:#111;'> 520B </span>","children":null,"spread":false},{"title":"ncnn_add_layer.cmake <span style='color:#111;'> 13.95KB </span>","children":null,"spread":false},{"title":"ncnn_generate_avx_source.cmake <span style='color:#111;'> 508B </span>","children":null,"spread":false},{"title":"ncnn_generate_arm82_source.cmake <span style='color:#111;'> 514B </span>","children":null,"spread":false},{"title":"ncnn_generate_fma_source.cmake <span style='color:#111;'> 508B </span>","children":null,"spread":false},{"title":"ncnn_generate_shader_comp_header.cmake <span style='color:#111;'> 928B </span>","children":null,"spread":false},{"title":"ncnn_add_shader.cmake <span style='color:#111;'> 1.39KB </span>","children":null,"spread":false},{"title":"run_test.cmake <span style='color:#111;'> 275B </span>","children":null,"spread":false},{"title":"ncnn_generate_msa_source.cmake <span style='color:#111;'> 514B </span>","children":null,"spread":false},{"title":"ncnn_generate_avx512_source.cmake <span style='color:#111;'> 517B </span>","children":null,"spread":false},{"title":"ncnnConfig.cmake.in <span style='color:#111;'> 1.18KB </span>","children":null,"spread":false},{"title":"ncnn_generate_shader_spv_header.cmake <span style='color:#111;'> 41.60KB </span>","children":null,"spread":false},{"title":"pyproject.toml <span style='color:#111;'> 162B </span>","children":null,"spread":false},{"title":"32-ncnn.png <span style='color:#111;'> 483B </span>","children":null,"spread":false},{"title":"128-ncnn.png <span style='color:#111;'> 1.16KB </span>","children":null,"spread":false},{"title":"256-ncnn.png <span style='color:#111;'> 2.48KB </span>","children":null,"spread":false},{"title":"64-ncnn.png <span style='color:#111;'> 636B </span>","children":null,"spread":false},{"title":"16-ncnn.png <span style='color:#111;'> 233B </span>","children":null,"spread":false},{"title":"the-benchmark-of-caffe-android-lib,-mini-caffe,-and-ncnn.md <span style='color:#111;'> 3.24KB </span>","children":null,"spread":false},{"title":"vulkan-conformance-test.md <span style='color:#111;'> 2.34KB </span>","children":null,"spread":false},{"title":"build-for-VisualStudio.zh.md <span style='color:#111;'> 3.77KB </span>","children":null,"spread":false},{"title":"how-to-build.md <span style='color:#111;'> 25.71KB </span>","children":null,"spread":false},{"title":"build-mlir2ncnn.md <span style='color:#111;'> 1.17KB </span>","children":null,"spread":false},{"title":"Home.md <span style='color:#111;'> 3.34KB </span>","children":null,"spread":false},{"title":"faq.md <span style='color:#111;'> 19.30KB </span>","children":null,"spread":false},{"title":"operation-param-weight-table.md <span style='color:#111;'> 6.30KB </span>","children":null,"spread":false},{"title":"tensorflow-op-combination.md <span style='color:#111;'> 2.06KB </span>","children":null,"spread":false},{"title":"how-to-implement-custom-layer-step-by-step.md <span style='color:#111;'> 8.09KB </span>","children":null,"spread":false},{"title":"binaryop-broadcasting.md <span style='color:#111;'> 1.22KB </span>","children":null,"spread":false},{"title":"param-and-model-file-structure.md <span style='color:#111;'> 2.52KB </span>","children":null,"spread":false},{"title":"new-param-load-api.md <span style='color:#111;'> 1.51KB </span>","children":null,"spread":false},{"title":"custom-allocator.md <span style='color:#111;'> 2.08KB </span>","children":null,"spread":false},{"title":"low-level-operation-api.md <span style='color:#111;'> 7.18KB </span>","children":null,"spread":false},{"title":"armv7-mix-assembly-and-intrinsic.md <span style='color:#111;'> 2.66KB </span>","children":null,"spread":false},{"title":"add-custom-layer.zh.md <span style='color:#111;'> 2.83KB </span>","children":null,"spread":false},{"title":"arm-a53-a55-dual-issue.md <span style='color:#111;'> 2.68KB </span>","children":null,"spread":false},{"title":"preload-practice.zh.md <span style='color:#111;'> 1.05KB </span>","children":null,"spread":false},{"title":"new-model-load-api.md <span style='color:#111;'> 5.13KB </span>","children":null,"spread":false},{"title":"ncnn-tips-and-tricks.zh.md <span style='color:#111;'> 3.17KB </span>","children":null,"spread":false},{"title":"aarch64-mix-assembly-and-intrinsic.md <span style='color:#111;'> 1.09KB </span>","children":null,"spread":false},{"title":"how-to-write-a-neon-optimized-op-kernel.md <span style='color:#111;'> 445B </span>","children":null,"spread":false},{"title":"how-to-be-a-contributor.zh.md <span style='color:#111;'> 2.88KB </span>","children":null,"spread":false},{"title":"element-packing.md <span style='color:#111;'> 2.93KB </span>","children":null,"spread":false},{"title":"operators.md <span style='color:#111;'> 59.33KB </span>","children":null,"spread":false},{"title":"application-with-ncnn-inside.md <span style='color:#111;'> 3.04KB </span>","children":null,"spread":false},{"title":"FAQ-ncnn-protobuf-problem.zh.md <span style='color:#111;'> 2.27KB </span>","children":null,"spread":false},{"title":"use-ncnnoptimize-to-optimize-model.md <span style='color:#111;'> 599B </span>","children":null,"spread":false},{"title":"use-ncnn-with-alexnet.zh.md <span style='color:#111;'> 4.87KB </span>","children":null,"spread":false},{"title":"use-ncnn-with-alexnet.md <span style='color:#111;'> 4.65KB </span>","children":null,"spread":false},{"title":"use-ncnn-with-opencv.md <span style='color:#111;'> 3.56KB </span>","children":null,"spread":false},{"title":"FAQ-ncnn-throw-error.md <span style='color:#111;'> 3.83KB </span>","children":null,"spread":false},{"title":"vulkan-notes.md <span style='color:#111;'> 3.34KB </span>","children":null,"spread":false},{"title":"ncnn-load-model.md <span style='color:#111;'> 1.38KB </span>","children":null,"spread":false},{"title":"quantized-int8-inference.md <span style='color:#111;'> 2.46KB </span>","children":null,"spread":false},{"title":"use-ncnn-with-pytorch-or-onnx.md <span style='color:#111;'> 1.20KB </span>","children":null,"spread":false},{"title":"FAQ-ncnn-vulkan.md <span style='color:#111;'> 6.49KB </span>","children":null,"spread":false},{"title":"efficient-roi-resize-rotate.md <span style='color:#111;'> 4.57KB </span>","children":null,"spread":false},{"title":"build-minimal-library.md <span style='color:#111;'> 4.44KB </span>","children":null,"spread":false},{"title":"openmp-best-practice.md <span style='color:#111;'> 4.06KB </span>","children":null,"spread":false},{"title":"openmp-best-practice.zh.md <span style='color:#111;'> 3.23KB </span>","children":null,"spread":false},{"title":"FAQ-ncnn-produce-wrong-result.md <span style='color:#111;'> 5.47KB </span>","children":null,"spread":false},{"title":"use-ncnn-with-own-project.md <span style='color:#111;'> 2.36KB </span>","children":null,"spread":false},{"title":"build-android.cmd <span style='color:#111;'> 2.93KB </span>","children":null,"spread":false},{"title":"......","children":null,"spread":false},{"title":"<span style='color:steelblue;'>文件过多,未全部展示</span>","children":null,"spread":false}],"spread":true}]