NVlabs
Failed: no cuda capable devices is found
Actually i have tried to use the dope package in https://github.com/yehengchen/DOPE-ROS-D435
I have installed require packages and dependencies. In this, they have given two command. 1.roslaunch realsense2_camera rs_rgbd.launch 2. roslaunch dope dope.launch
This gives following error
Please help me to sort out this issues.
I have NVIDIA GT218 GeForce 210
I have installed driver using sudo apt install nvidia-driver-430 I want to install cuda 9.2 or more to match my pytorch. I am not able to find proper way to install cuda 9.2 or more https://medium.com/@aspiring1/installing-cuda-toolkit-10-0-and-cudnn-for-deep-learning-with-tensorflow-gpu-on-ubuntu-18-04-lts-f7e968b24c98
I think nvidia 430 GeForce 210 is not cuda enabled. Is it?
Do i need to use some other graphics card? Does jetson nano support for implementing Dope packages?
Please help me use Dope package. I am really dependent on this.
The GeForce 210 is too old to run DOPE. The last supported CUDA version for this card is CUDA 6.5 so you will not be able to upgrade to 9.2.
The Jetson NANO will run DOPE, and you should be able to install it using the directions in the main README.
do you have an NVIDIA's GPU?
Yes. I have GEFPRCE GTX 1050 ti. Is it enough to runnDOPE PACKAGE
The GeForce 210 is too old to run DOPE. The last supported CUDA version for this card is CUDA 6.5 so you will not be able to upgrade to 9.2.
The Jetson NANO will run DOPE, and you should be able to install it using the directions in the main README.
Now i had GEFORCE GTX 1050ti. Is it enough to run DOPE package?