anenbergb/Co-DETR-TensorRT

Co-DETR (Detection Transformer) compiled from PyTorch to NVIDIA TensorRT

29
/ 100
Experimental

This tool helps AI engineers optimize object detection models for faster performance. It takes a Co-DETR object detection model trained in PyTorch and converts it into an NVIDIA TensorRT engine or TorchScript model, which can then be deployed for significantly quicker inference. AI/ML engineers working with computer vision applications, especially those needing high-speed object detection in production, would find this project useful.

No commits in the last 6 months.

Use this if you need to drastically speed up the inference time of your Co-DETR object detection models on NVIDIA GPUs.

Not ideal if you are not using NVIDIA GPUs for model deployment or if you are not working with Co-DETR or other detection transformer models.

deep-learning-deployment computer-vision object-detection model-optimization real-time-inference
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 5 / 25

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Stars

20

Forks

1

Language

Python

License

Apache-2.0

Last pushed

Apr 19, 2025

Commits (30d)

0

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