Roadmap of detrex

[rentainhe]

We keep this issue open to collect feature requests from users and hear your voice.

You can either:

• Suggest a new feature by leaving a comment.
• Vote for a feature request with 👍. (Remember that developers are sometimes busy and cannot respond to all feature requests, so vote for your most favorable one!)
• Tell us that you would like to help implement new features or review the PRs. (This is the greatest thing to hear about!)

v0.2.1

• [x] MaskDINO. (Pre-release in https://github.com/IDEA-Research/detrex/pull/154)
• [x] Support SwinV2 backbone (https://github.com/IDEA-Research/detrex/pull/152)
• [x] Add a basic usage notebook for inference on custom images. ( https://github.com/IDEA-Research/detrex/pull/119 )
• [x] ViT backbone (https://github.com/IDEA-Research/detrex/pull/138)

Collection

• [ ] DQ-DET: https://arxiv.org/pdf/2307.12239.pdf
• [ ] RT-DETR
• [ ] Co-DETR
• [ ] Better data augmentation code format: https://github.com/IDEA-Research/detrex/pull/204
• [ ] Support wandb to log training informations and visualize sampled results
• [ ] TensorRT for fast inference
• [ ] ONNX for DETR models
• [ ] Docker or python package for detrex (High Priority)
• [ ] Object365 Dataloader
• [ ] Semantic Seg/Instance Seg/Key points tasks

[caopulan]

Wandb to log training process and visualize the sampled results.

[ray-lee-94]

support tensorRT for fast inference

[wangxuewen99]

mask-DINO

[simonJJJ]

Objects365 dataloader.

[Hezhexi2002]

support multiple downstream tasks like keypoint detection or segmention and so on