Comments (7)
I meet the same issue.
from caffe-yolov3.
Have you solved it?
from caffe-yolov3.
@zhudongming
no.
I think the darknet2caffe convert have some problem.
from caffe-yolov3.
@AshingTsai Have you fixed it? And how?
from caffe-yolov3.
hi,i have met the same problem, did you solved it .could you leave email message or wechat. my email is [email protected]
from caffe-yolov3.
您好,我之前也遇到了这个问题,现在解决了,是因为我的caffe没有安装好,你要确保caffe 安装成功,cd 到caffe 下 sudo make all -j8
sudo make runtest -j8 sudo make pycaffe -j8 编译没有报错后说明caffe安装成功。当安装成功caffe后按照darknet2caffe的项目转换成功yolov4.caffemodel就可以了
from caffe-yolov3.
from caffe-yolov3.
Related Issues (20)
- 请问如何进行批量测试
- Check failed: error == cudaSuccess (35 vs. 0) CUDA driver version is insufficient for CUDA runtime version HOT 1
- Neural Network Accelerator support HOT 1
- yolov4转换后识别有问题。 HOT 2
- image im = mat_to_image(mat);
- 运行后出现void check_error(cudaError_t): Assertion `0' failed. CUDA Error: no kernel image is available for execution on the device HOT 1
- A question about how to run other caffemodel?
- make caffe-yolov3时报错(libyolov3-plugin.so)
- 大佬,我的电脑上没有cuda如何将cmake里面的cuda去掉啊 HOT 5
- Please publish models for download form other service
- Segment fault HOT 3
- Have difficulty in fixing KeyError: 'layer1-conv' HOT 3
- How to convert Yolov4-tiny darknet to caffe?
- Segmentation fault (core dumped) HOT 1
- 转换后的yolov4模型,检测框偏大,不准确
- 似乎没有提供训练的代码?是用AB版训然后转caffe模型?
- model link失效
- make[1]: *** [CMakeFiles/yolov3-plugin.dir/all] Error 2
- Can we use OpenCL for AMD GPU? Caffe has OpenCL support.
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