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Reference for ultralytics/models/rtdetr/model.py

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This file is available at https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/rtdetr/model.py. If you spot a problem please help fix it by contributing a Pull Request 🛠️. Thank you 🙏!


ultralytics.models.rtdetr.model.RTDETR 

RTDETR(model: str = 'rtdetr-l.pt')

Bases: Model

Interface for Baidu's RT-DETR model, a Vision Transformer-based real-time object detector.

This model provides real-time performance with high accuracy. It supports efficient hybrid encoding, IoU-aware query selection, and adaptable inference speed.

Attributes:

Name Type Description
model str

Path to the pre-trained model.

Examples:

>>> from ultralytics import RTDETR
>>> model = RTDETR("rtdetr-l.pt")
>>> results = model("image.jpg")

Parameters:

Name Type Description Default
model str

Path to the pre-trained model. Supports .pt, .yaml, and .yml formats.

 'rtdetr-l.pt'

Raises:

Type Description
NotImplementedError

If the model file extension is not 'pt', 'yaml', or 'yml'.
Source code in ultralytics/models/rtdetr/model.py 
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def __init__(self, model: str = "rtdetr-l.pt") -> None:
    """
    Initialize the RT-DETR model with the given pre-trained model file.

    Args:
        model (str): Path to the pre-trained model. Supports .pt, .yaml, and .yml formats.

    Raises:
        NotImplementedError: If the model file extension is not 'pt', 'yaml', or 'yml'.
    """
    super().__init__(model=model, task="detect")

task_map property 

task_map: dict

Returns a task map for RT-DETR, associating tasks with corresponding Ultralytics classes.

Returns:

Type Description
dict

A dictionary mapping task names to Ultralytics task classes for the RT-DETR model.



📅 Created 1 year ago ✏️ Updated 7 months ago
jk4e glenn-jocher Burhan-Q