RF-DETR-Seg
ONNX models for inference with EZONNX
Model type:
Instance segmentationOfficial GitHub repository:
RF-DETRUsage
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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