Installation steps of nvidia-driver, CUDA_Toolkit, cuDNN and nvidia-docker2 package which enables docker containers to use host's GPU
lspci | grep -i VGA
Non-Uniform Memory Access (NUMA) is one of the computer memory design methods used in multiprocessor systems, and the time to access the memory varies depending on the relative position between the memory and the processor. In the NUMA architecture, when a processor accesses its local memory, it is faster than when it accesses the remote memory. Remote memory refers to memory that is connected to another processor, and local memory refers to memory that is connected to its own processor. In other words, it is a technology to increase memory access efficiency while using multiple processors on one motherboard. When a specific processor runs out of memory, it monopolizes the bus by itself, so other processors have to play. , and designate 'access only here', and call it a NUMA node.
lspci | grep -i nvidia
01:00.0 VGA compatible controller: NVIDIA Corporation TU106 [GeForce RTX 2060 12GB] (rev a1)
If you haven't installed Git already, you can download and install it from the official Git website: https://git-scm.com/downloads
To create a new Git repository, navigate to the directory where you want to store your project and run the following command:
git init
While I was training yolov5 with my custom dataset I faced with these WARNINGS
WARNING ⚠️ /path/to/imgname*.jpg: 1 duplicate labels removed
WARNING ⚠️ /path/to/imgname*.jpg: ignoring corrupt image/label: negative label values [ -0.0069444]
WARNING ⚠️ /path/to/imgname*.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0104]
WARNING ⚠️ /path/to/imgname*.jpg: 1 duplicate labels removed
WARNING ⚠️ /path/to/imgname*.jpg: ignoring corrupt image/label: negative label values [ -0.0069444]
WARNING ⚠️ /path/to/imgname*.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0104]
When I converted coco_format_labels(json file)
to yolo format(*.txt files)
by using some libraries from github,\