Caffe-YOLOv3-Windows
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eric612
A windows caffe implementation of YOLO detection network
Hi guys, In engineering projects, there are often situations in which a picture is completely unmarked. In the process of detecting, there are many misidentified results. Previously, in the darknet...
CMake Error at cuda_compile_1_generated_absval_layer.cu.obj.Release.cmake:220 (message): Error generating H:/Project/caffe-source/Caffe-YOLOv3-Windows-master/build/src/caffe/CMakeFiles/cuda_compile_1.dir/layers/Release/cuda_compile_1_generated_absval_layer.cu.obj ERROR: Build failed @eric612 您好，我编译的时候出现上面的错误，尝试了半天也没有找到很好的解决办法，想请教一下您，这是什么原因导致的呢？
[libprotobuf ERROR C:\Users\guillaume\work\caffe-builder\build_v140_x64\packages\protobuf\protobuf_download-prefix\src\protobuf_download\src\google\protobuf\text_format.cc:298] Error parsing text-format caffe.NetParameter: 27:18: Non-repeated field "resize_param" is specified multiple times. F0915 11:44:01.675608 2252 upgrade_proto.cpp:90] Check failed: ReadProtoFromTextFile(param_file, param) Failed to parse NetParameter file: mobilenet_yolov3_train.prototxt 这是为什么呢？
hi! build_win.cmd in win10 with GPU evn, but wrong below： C:\Program Files (x86)\MSBuild\Microsoft.Cpp\v4.0\V120\Microsoft.CppCommon.targets(170,5): error MSB6006: “cmd.exe if build in cpu only, it is right! where is wrong? Thank you
“E:\Workspace\Project\trunk\Caffe-YOLOv3-Windows-master\build\ALL_BUILD.vcxproj”(默认目标) (1) -> “E:\Workspace\Project\trunk\Caffe-YOLOv3-Windows-master\build\tools\convert_imageset.vcxproj”(默认目标) (15) -> LINK : fatal error LNK1181: 无法打开输入文件“\openmp.obj” [E:\Workspace\Project\trunk\Caffe-YOLOv3-Windows-master\build\tools\convert_imageset.vcxproj] “E:\Workspace\Project\trunk\Caffe-YOLOv3-Windows-master\build\ALL_BUILD.vcxproj”(默认目标) (1) -> “E:\Workspace\Project\trunk\Caffe-YOLOv3-Windows-master\build\examples\convert_mnist_data.vcxproj”(默认目标) (17) -> LINK : fatal error LNK1181: 无法打开输入文件“\openmp.obj” [E:\Workspace\Project\trunk\Caffe-YOLOv3-Windows-master\build\examples\convert_mnist_data.vcxproj] “E:\Workspace\Project\trunk\Caffe-YOLOv3-Windows-master\build\ALL_BUILD.vcxproj”(默认目标) (1) -> “E:\Workspace\Project\trunk\Caffe-YOLOv3-Windows-master\build\examples\convert_mnist_siamese_data.vcxproj”(默认目标)...
up主你好，感谢你的工作。 1.我最近在用一些自己的数据训练Yolov3_lite，然后进行测试。因为数据图像的尺度（1280*1280）固定，目标尺寸大小固定，所以我重新更改了网络结构，并用 > It is very strange , can you try this [way](https://github.com/AlexeyAB/darknet/issues/1517) ? 的办法重新计算了anchor boxes，但是检测结果不理想，在测试集中该类目标一个都没检测出来！其他目标检测结果都正常； 2.此外，我还试过将图像分辨率（1024*1024）改小，并重新计算anchor，结果在该分辨率下，目标能检测出来，但是置信度较低。 3.若是将图像分辨率改为832*832，则该类目标检测结果正常。 My train prototxt name: "MobileNet-YOLO" layer { name: "data" type: "AnnotatedData" top:...
Hello, I am trying to follow the readme instruction. However, the download link for LMDB does not work any more. Could you please fix the link? Many thanks, Eungi Hong
您好，我在windows下使用detection_out.cpp推理时，用models\yolov3路径下的模型测试检测正常，但是切换到自己的模型测试时检测层输出一直为[0,-1,-1,-1,-1,-1,-1,-1]，模型是使用您linux版本的环境训练的，训练时map值正常。我将caffemodel转成ncnn，在ncnn下测试也正常。我怀疑可能是deploy文件中layer层与linux环境中的layer不一样导致，但是比对只后未发现异常，这个问题困扰我好多天了，请求您的帮助！这是我的deploy文件。 name: "yolov3" input: "data" layer { name: "data" type: "Input" top: "data" input_param {shape {dim: 1 dim: 3 dim: 800 dim: 800 } } } layer { name: "conv1"...
