I wanted to do character detection in the game via yolov5 But so far I have just started to study it all How to train custom data, I know But I don't know how to tell yolo in the code so that it detects custom data in the screenshot that I make using mss, and numpy and I broadcast these screenshots using cv2.imshow thanks in advance
I tried different ways, but nothing worked, I looked in the official documentation. but without success
CodePudding user response:
Using Custom Model
import torch
# Model
# model = torch.hub.load('ultralytics/yolov5', 'yolov5s') # or yolov5m, yolov5l, yolov5x, etc.
model = torch.hub.load('ultralytics/yolov5', 'custom', 'path/to/best.pt') # custom trained model
# Images
im = 'https://ultralytics.com/images/zidane.jpg' # or file, Path, URL, PIL, OpenCV, numpy, list
# Inference
results = model(im)
# Results
results.print() # or .show(), .save(), .crop(), .pandas(), etc.
results.xyxy[0] # im predictions (tensor)
results.pandas().xyxy[0] # im predictions (pandas)
# xmin ymin xmax ymax confidence class name
# 0 749.50 43.50 1148.0 704.5 0.874023 0 person
# 2 114.75 195.75 1095.0 708.0 0.624512 0 person
# 3 986.00 304.00 1028.0 420.0 0.286865 27 tie