ultralytics/yolov5

Extract information of Coordinates

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vishaltala commented

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Question

Once the Object is detected, how can i extract the information like confidence score, label and all the 4 coordinates ?

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github-actions commented

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Introducing YOLOv8 🚀

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Designed to be fast, accurate, and easy to use, YOLOv8 is an ideal choice for a wide range of object detection, image segmentation and image classification tasks. With YOLOv8, you'll be able to quickly and accurately detect objects in real-time, streamline your workflows, and achieve new levels of accuracy in your projects.

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glenn-jocher commented

@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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