Knowledge required to understand YOLOR - yolo

Question

I'm trying to learn YOLOR but everything look like a alien language to me
so for the expert out there
What knowledge do I need to have to start learning and implement this object detection model?
Do I need to learn Yaml and Shell Command on Pycharm to run YOLOR
what I know:
Basic python
CNN
Understand how YOLOR dataset labeled
Thank you for sharing your knowledge

Answer 1

Before you start using YOLOR I suggest that you begin with YOLOv5 that is easier to learn and implement. You need to know how to run Shell Command on Pycharm. Here is a simple code that you can run on Pycharm:
import torch
import numpy as np
import cv2
model = torch.hub.load('ultralytics/yolov5', 'yolov5s')
cap = cv2.VideoCapture(0)
while cap.isOpened():
ret, frame = cap.read()
results = model(frame)
results.print()
cv2.imshow('YOLO', np.squeeze(results.render()))
if cv2.waitKey(10) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
before you run this code you need to install and import some dependencies:
install pytorch:
pip install torch==1.8.1+cu111 torchvision==0.9.1+cu111 torchaudio===0.8.1 -f https://download.pytorch.org/whl/lts/1.8/torch_lts.html
import YOLOv5: git clone https://github.com/ultralytics/yolov5
install the requirements: cd yolov5 & pip install -r requirements.txt