Google Vision to Yolo format

[epiccucumber15]

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Question

Hi, Firstly, I want to thank you for such a great project. I'm trying to convert a Google Vision's OBJECT_LOCALIZATION response to Yolo format which is <object-class> <x> <y> <width> <height>

The response looks like this:

       "boundingPoly": {
            "normalizedVertices": [{
                "x": 0.026169369
            }, {
                "x": 0.99525446
            }, {
                "x": 0.99525446,
                "y": 0.688811
            }, {
                "x": 0.026169369,
                "y": 0.688811
            }]
        }

I already know what the object-class is but I'm lost on the rest. Any help is appreciated.

Additional

No response

[github-actions]

👋 Hello @epiccucumber15, 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]

@epiccucumber15 see YOLOv5 Train Custom Data tutorial for dataset format directions:

1.2 Create Labels

After using a tool like Roboflow Annotate to label your images, export your labels to YOLO format, with one *.txt file per image (if no objects in image, no *.txt file is required). The *.txt file specifications are:

• One row per object
• Each row is class x_center y_center width height format.
• Box coordinates must be in normalized xywh format (from 0 - 1). If your boxes are in pixels, divide x_center and width by image width, and y_center and height by image height.
• Class numbers are zero-indexed (start from 0).

The label file corresponding to the above image contains 2 persons (class 0) and a tie (class 27):

YOLOv5 Tutorials

• Train Custom Data  🚀 RECOMMENDED
• Tips for Best Training Results  ☘️ RECOMMENDED
• Weights & Biases Logging  🌟 NEW
• Supervisely Ecosystem  🌟 NEW
• Multi-GPU Training
• PyTorch Hub  ⭐ NEW
• TFLite, ONNX, CoreML, TensorRT Export 🚀
• Test-Time Augmentation (TTA)
• Model Ensembling
• Model Pruning/Sparsity
• Hyperparameter Evolution
• Transfer Learning with Frozen Layers  ⭐ NEW
• TensorRT Deployment

Good luck 🍀 and let us know if you have any other questions!

[epiccucumber15]

How would I convert the normalizedVertices object to Yolo format?