How can i get all XYHW-confidence for detected objects in image?

[lirilkumar]

I want to use custom trained model, to score images in notebook environment.

Can someone point me how can i get back X,Y,H,W and confidence for each class identified in image(s).

goal is to get cropped class sub images from input image (extracting number plates from cars) using XYHW and confidence.

Thanks for great library bdw.

[glenn-jocher]

@lirilkumar see PyTorch Hub tutorial for returning inference results and producing detection crops automatically:

import torch

# Model
model = torch.hub.load('ultralytics/yolov5', 'yolov5s')

# Image
img = 'https://ultralytics.com/images/zidane.jpg'

# Inference
results = model(img)

results.pandas().xyxy[0]
#      xmin    ymin    xmax   ymax  confidence  class    name
# 0  749.50   43.50  1148.0  704.5    0.874023      0  person
# 1  433.50  433.50   517.5  714.5    0.687988     27     tie
# 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

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