Skip to content

Reference for ultralytics/models/rtdetr/model.py

Note

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='rtdetr-l.pt')

Bases: Model

Interface for Baidu's RT-DETR model. This Vision Transformer-based object detector 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. Defaults to 'rtdetr-l.pt'.

Parameters:

Name Type Description Default
model str

Path to the pre-trained model. Defaults to 'rtdetr-l.pt'.

 '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 
27
28
29
30
31
32
33
34
35
36
37
def __init__(self, model="rtdetr-l.pt") -> None:
    """
    Initializes the RT-DETR model with the given pre-trained model file. Supports .pt and .yaml formats.

    Args:
        model (str): Path to the pre-trained model. Defaults to 'rtdetr-l.pt'.

    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:

Name Type Description
dict dict

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




📅 Created 11 months ago ✏️ Updated 1 month ago
jk4e glenn-jocher Burhan-Q