YOLO V5 trains its own dataset
1. Environment Ubuntu 20.04 python 3.8.8 Graphics card driver 470.74 CUDA 11.5
View Ubuntu version number
cat /proc/version
View Python version number
python --version
View graphics driver version
nvidia-smi
View CUDA version
nvcc --version
2. Code model download 2.1 download model
git clone https://github.com/ultralytics/yolov5
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Posted on Mon, 01 Nov 2021 03:20:44 -0400 by samirk
Day 21 - Python embedded in AlexeyAB/darknet
Day 21 - Python embedded in AlexeyAB/darknet
Like the previous Joseph/darknet, AlexeyAB/darknet also provides a python interface, which can be called directly by Python developers. It is convenient to combine with the original Python code. The difference is that it is not specifically placed in the python directory, but directly in the root di ...
Posted on Fri, 29 Oct 2021 21:16:34 -0400 by scoppc
Day 19 - installing AlexeyAB/darknet ON Amazon Linux 2
Day 19 - installing AlexeyAB/darknet ON Amazon Linux 2
Today's task plan installs the AlexeyAB/darknet version of YOLO, which is the main author of yoov4. This version can produce more measurement indicators. Of course, you can also use yoov4 for image recognition, but it is difficult to install.
The following AWS EC2 is required for the foll ...
Posted on Fri, 29 Oct 2021 20:55:24 -0400 by mr_mind
Object recognition and location algorithm based on deep neural network
YOLO (You Only Look Once) is an object recognition and location algorithm based on deep neural network. Its biggest feature is that it runs fast and can be used in real-time system. Now YOLO has developed to v3 version, but the new version is also continuously improved and evolved on the basis of the original version, so this paper first analyz ...
Posted on Wed, 15 Sep 2021 18:10:59 -0400 by bough