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[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"

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How do I generate COCO format dataset from a dataset of instance masks?

Thanks for your great work! As mentioned in Appendix D.1, > Considering that the number of objects in one image in COCO dataset ranges from 1 to 80, this design...

These days, I trained and evaluated my own dataset and got significant result with your model compared to YOLOS. Now, I have tried to convert DINO(pytorch) into DINO(onnx or tensorrt)....

how to change the Border line thickness of the box

@SuperHenry2333 , I have two questions: 1. My data might have more than 200 objects in an image, which parameter takes care of this situation? 2. If I need to...

Can we train the model on the CPU?

Hi @SuperHenry2333 @SlongLiu @FengLi-ust Update: some bboxes after data augmentation are `nan`: ![YksSj9onmR](https://user-images.githubusercontent.com/73068772/185937869-37771231-10dd-4076-a498-606161b16445.jpg) --- I tried to reproduce the Objects365 pre-training with a large resolution, however, this error always occurs....

Hi, I have been trying to export the 4-scale model with ResNet50 backbone to TorchScript with the following code: ```python import torch from util.slconfig import SLConfig from main import build_model_main...

Today I got my first DINO evaluation on my own dataset (non-COCO objects), which was used to compare the model performance across different object systems in my own way. Lots...

There is so much information logged after each training step. So I am wondering if there is a better way to see the overall model performance, such as training_loss, eval_loss,...