USC CSCI596 Scientific Computing and Visualization Final Project
you can find the detail about YOLO V3 here
The architecture of YOLOV3 like that
this project will only focuse on reference not training, this program will work on GPU if you have installed pytorch with cuda
- Python >= 3.5
- OpenCV
- PyTorch >= 0.4
the weights of the yolov3 is large, so you can download here, then put it in root
you can store the images you want to be dectected in imgs file.
run the command
python detect.py --images imgs --det det you will get the result in detect file
image detection, you can find the raw image in imgs file
