I've downloaded the latest CUDA, staged the .deb packages in the opencv foler, and run opencv.sh numerous times
I think detection is still running on my CPU, as it is dog slow, and while it isnt the best test in the world, i keep running nvidia-smi to see if any processes are using the GPU, and nothing ever does when events fire...
when i run nvidia-smi on the container before running opencv.sh, i get the following output (note cuda version:
Code: Select all
Sat Mar 21 15:37:39 2020
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 440.59 Driver Version: 440.59 CUDA Version: 10.2 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 GeForce GTX 105... Off | 00000000:82:00.0 Off | N/A |
| 40% 31C P0 N/A / 75W | 0MiB / 4040MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| No running processes found |
+-----------------------------------------------------------------------------+
What step of the instructions am i clearly missing? I ask it that way because im almost 100% positive i had this working before, but cant get it there now.
also, a few side notes on the container, i can put these elsewhere if you want...
would be awesome if you got rid of these options in apache2/sites-enabled/default-ssl.conf, it causes a prompt for cert every time i open a new browser.
SSLVerifyClient optional_no_ca
SSLVerifyDepth 10
and several folders in /config default to needing chmod +x on them -- no biggie unless you are like me and doing samba sharing for docker management.
Thanks for this container, you've done a lot of good work, and I am very grateful.