【发布时间】:2021-06-25 18:04:35
【问题描述】:
我运行这个命令
./darknet detector train data/obj.data cfg/yolov3_training.cfg back/last_4_4_7pm.weights /back -dont_show -gpus 0
但是 gou 没有被使用和 0 %
这是我的makefile;:
%cd darknet
!sed -i 's/OPENCV=0/OPENCV=1/' Makefile
!sed -i 's/GPU=0/GPU=1/' Makefile
!sed -i 's/CUDNN=0/CUDNN=1/' Makefile
这是输出
CUDA-version: 11020 (11000)
Warning: CUDA-version is higher than Driver-version!
, cuDNN: 8.1.0, GPU count: 1
OpenCV version: 3.4.11
0
yolov3_training
0 : compute_capability = 610, cudnn_half = 0, GPU: Quadro P5000
net.optimized_memory = 0
mini_batch = 4, batch = 64, time_steps = 1, train = 1
layer filters size/strd(dil) input output
0 Create CUDA-stream - 0
Create cudnn-handle 0
这是我的 nvidia smi:
root@n5qr6jidhm:/notebooks/Untitled Folder/darknet# nvidia-smi
2021 年 6 月 25 日星期五 17:53:45
+-------------------------------------------------- --------------------------------------------+
| NVIDIA-SMI 450.36.06 驱动程序版本:450.36.06 CUDA 版本:11.0 |
|-------------------------------+----------------- -----+-----------+
| GPU名称持久化-M|总线 ID Disp.A |挥发性的 Uncorr。纠错 |
| Fan Temp Perf Pwr:Usage/Cap|内存使用 | GPU-Util Compute M. |
| | |米格M。
|=================================+================= =====+========================|
| 0 Quadro P5000 开启 | 00000000:00:05.0 关闭 |关闭 |
| 39% 62C P0 126W / 180W | 5725MiB / 16278MiB | 92% 默认 |
| | |不适用 |
+-------------------------------+------------------ -----+-----------+
【问题讨论】:
标签: artificial-intelligence object-detection opencv3.0 darknet