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Extract information of Coordinates #12998

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vishaltala opened this issue May 10, 2024 · 2 comments
Open
1 task done

Extract information of Coordinates #12998

vishaltala opened this issue May 10, 2024 · 2 comments
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@vishaltala
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Once the Object is detected, how can i extract the information like confidence score, label and all the 4 coordinates ?

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@vishaltala vishaltala added the question Further information is requested label May 10, 2024
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👋 Hello @vishaltala, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.

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@glenn-jocher
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@vishaltala hello!

To extract confidence scores, labels, and coordinates once an object is detected, you can use the outputs from your model after processing an image. Here's a snippet showing how to do this.

If you've run the detection using the standard detect.py, results are stored in a list of detections, where each detection includes x1, y1, x2, y2 coordinates, confidence and class. Here's a simple example to access this info:

# Assuming results are the output from a model
results = model(img)  # 'img' is your input image
for det in results.xyxy[0]:  # detections per image
    x1, y1, x2, y2, conf, cls = det
    print(f"Coordinates: ({x1}, {y1}), ({x2}, {y2})")
    print(f"Confidence: {conf}")
    print(f"Class: {int(cls)}")

This loop will print the bounding box coordinates, confidence score, and class ID for each detection in the image.

Hope this helps! 😊

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