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README: attempt to fix layout
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woctezuma authored Aug 10, 2020
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## References

- Official repositories:
- Facebook's [DETR](https://github.com/facebookresearch/detr)
- Facebook's [detectron2 wrapper for DETR](https://github.com/facebookresearch/detr/tree/master/d2) ; caveat: this wrapper only supports box detection
- [DETR checkpoints](https://github.com/facebookresearch/detr#model-zoo): remove the classification head, then fine-tune
- Facebook's [DETR](https://github.com/facebookresearch/detr)
- Facebook's [detectron2 wrapper for DETR](https://github.com/facebookresearch/detr/tree/master/d2) ; caveat: this wrapper only supports box detection
- [DETR checkpoints](https://github.com/facebookresearch/detr#model-zoo): remove the classification head, then fine-tune
- My forks:
- My [fork](https://github.com/woctezuma/detr/tree/finetune) of DETR to fine-tune on a dataset with a single class
- My [fork](https://github.com/woctezuma/VIA2COCO/tree/fixes) of VIA2COCO to convert annotations from VIA format to COCO format
- My [fork](https://github.com/woctezuma/detr/tree/finetune) of DETR to fine-tune on a dataset with a single class
- My [fork](https://github.com/woctezuma/VIA2COCO/tree/fixes) of VIA2COCO to convert annotations from VIA format to COCO format
- Official notebooks:
- An [official notebook](https://colab.research.google.com/github/facebookresearch/detr/blob/colab/notebooks/detr_attention.ipynb) showcasing DETR
- An [official notebook](https://github.com/cocodataset/cocoapi/blob/master/PythonAPI/pycocoDemo.ipynb) showcasing the COCO API
- An [official notebook](https://colab.research.google.com/drive/16jcaJoc6bCFAQ96jDe2HwtXj7BMD_-m5) showcasing the Detectron2 wrapper for DETR
- An [official notebook](https://colab.research.google.com/github/facebookresearch/detr/blob/colab/notebooks/detr_attention.ipynb) showcasing DETR
- An [official notebook](https://github.com/cocodataset/cocoapi/blob/master/PythonAPI/pycocoDemo.ipynb) showcasing the COCO API
- An [official notebook](https://colab.research.google.com/drive/16jcaJoc6bCFAQ96jDe2HwtXj7BMD_-m5) showcasing the Detectron2 wrapper for DETR
- Tutorials:
- A [Github issue](https://github.com/facebookresearch/detr/issues/9) discussing the fine-tuning of DETR
- A [Github Gist](https://gist.github.com/mlk1337/651297e28199b4bb7907fc413c49f58f) explaining how to fine-tune DETR
- A [Github issue](https://github.com/facebookresearch/detr/issues/9#issuecomment-636391562) explaining how to load a fine-tuned DETR
- A [Github issue](https://github.com/facebookresearch/detr/issues/9) discussing the fine-tuning of DETR
- A [Github Gist](https://gist.github.com/mlk1337/651297e28199b4bb7907fc413c49f58f) explaining how to fine-tune DETR
- A [Github issue](https://github.com/facebookresearch/detr/issues/9#issuecomment-636391562) explaining how to load a fine-tuned DETR
- Datasets:
- A [blog post](https://engineering.matterport.com/splash-of-color-instance-segmentation-with-mask-r-cnn-and-tensorflow-7c761e238b46) about another approach (Mask R-CNN) and the [`balloon`](https://github.com/matterport/Mask_RCNN/tree/master/samples/balloon) dataset
- A [blog post](https://engineering.matterport.com/splash-of-color-instance-segmentation-with-mask-r-cnn-and-tensorflow-7c761e238b46) about another approach (Mask R-CNN) and the [`balloon`](https://github.com/matterport/Mask_RCNN/tree/master/samples/balloon) dataset

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