RF-DETR-Seg

ONNX models for inference with EZONNX

  • Model type:
    Instance segmentation

  • Official GitHub repository:
    RF-DETR

  • Usage

    from ezonnx import RFDETRSeg, visualize_images
    model = RFDETRSeg("preview")  # automatically load from Hugging Face
    ret = model("image.jpg")
    # Visualize
    visualize_images("Detection result",ret.visualized_img)
    # Access results
    print(ret.boxes, ret.classes, ret.scores, ret.masks)
    
  • ONNX export from torch

    from rfdetr import RFDETRSegPreview
    model = RFDETRSegPreview()
    # train here
    model.export()
    
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