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这是编译NCNN到WASM的过程,这里报错,始终找不到解决方法 如果您正在为支持实验性 Web 组件功能(如 SIMD 和 SSE2)的浏览器进行编译,请使用以下代码。 cmake -DCMAKE_TOOLCHAIN_FILE=../emsdk/upstream/emscripten/cmake/Modules/Platform/Emscripten.cmake -DNCNN_SIMPLEOMP=ON -DNCNN_BUILD_TESTS=ON .. 但是在使用使用 SIMD SSE2,使用NCNN的内置测试用例来检查编译是否成功。: TESTS_EXECUTABLE_LOADER=node TESTS_EXECUTABLE_LOADER_ARGUMENTS="--experimental-wasm-simd;--experimental-wasm-threads;--experimental-wasm-bulk-memory" ctest --output-on-failure -j 2 下面就全部报错:(1-88全部报错,这里只列出一个) 88/88 Test https://github.com/facebookincubator/mvfst/pull/88: test_yolov3detectionoutput .......***Failed 0.01 sec CMake...
D:\Downloads\Compressed\ncnn-webassembly-yolov5\build>cmake -DCMAKE_TOOLCHAIN_FILE=$EMSDK/upstream/emscripten/cmake/Modules/Platform/Emscripten.cmake -DWASM_FEATURE=basic .. CMake Warning (dev) at CMakeLists.txt:1 (project): cmake_minimum_required() should be called prior to this top-level project() call. Please see the cmake-commands(7) manual for usage documentation of both...
### 问题确认 Search before asking - [X] 我已经查询[历史issue](https://github.com/PaddlePaddle/PaddleDetection/issues),没有发现相似的bug。I have searched the [issues](https://github.com/PaddlePaddle/PaddleDetection/issues) and found no similar bug report. ### Bug组件 Bug Component Training ### Bug描述 Describe the Bug python -m...
### Search before asking - [X] I have searched the YOLOv8 [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussions) and found no similar questions. ### Question Why does this problem occur? It was already possible...
 推理成功了,终端命令也有反馈,但是看不到框,q请问是怎么回事
 就是用自己模型不行,用官方自带的就没有问题,请问我该怎么做呢,是模型训练导致的问题吗 0 = 2.00643 at 1024.00 0.00 0.00 x 12.80 ,这5个数字分别代表 类别(0)=置信度(2.00643) at目标左上角x坐标(1024.00) 目标左上角y坐标(0.00) 目标宽度(0.00) 目标高度(12.80) ,很明显都不对了,求解决,class_names调了,输出大小调成了640,还有 ex.input("images", in_pad); std::vector proposals; ncnn::Mat out; ex.extract("output0", out);也跳了,所以不知道什么问题