Comments (1)
myanzhang
commented on May 22, 2024
In detectnet.cpp, you can get:
printf("object-detection: finished processing data operation (%zu)ms\n", endDataTime - beginDataTime);---> t1 = endDataTime - beginDataTime;
printf("object-detection: finished processing yolov3 network (%zu)ms\n", endDetectTime - beginDetectTime);---> t2 = endDetectTime - beginDetectTime;
fps = 1 / (t1 + t2)
This is my way. I hope it can help you.
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
- 在运行demo时出现"段错误 (核心已转储)" HOT 7
- 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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