RTDETR v2 - Real Time Object Detection: Updates, algorithm and code reading скачать в хорошем качестве

RTDETR v2 - Real Time Object Detection: Updates, algorithm and code reading

This video talks about RTDETR v2 - a short list of updates to the original RTDETR model that was first of its kind to offer high-requests-per-second, performant object detection based on transformers. The video dives into Deformable Attention, 2 small additions to its algorithm made in RTDETR v2 - variable number of sampling points + discrete sampling. Second part of the video shows the actual source code of the model, goes over the same concepts in code (deformable attention in the decoder), and then explains other 2 additions in RTDETR v2 - Dynamic Data Augmentation and Scale-Adaptive Hyperparameters Customization Important links: Jupyter Notebook shown in the video: https://github.com/adensur/blog/blob/... Installation instructions: https://github.com/adensur/blog/blob/... Paper: https://arxiv.org/pdf/2407.17140 Source code: https://github.com/lyuwenyu/RT-DETR/t... My previous video about RTDETR v1:    • RT DETR - realtime object detection with t...   00:00 - Intro 02:10 - Deformable Attention in Decoder 07:02 - Bilinear and Discrete Sampling 09:33 - RTDETR v2 Deformable Attention Modifications 10:18 - Source Code Intro and Setup 10:44 - Code Read: Dataloaders, model inputs and outputs 16:25 - Code Read: RTDETRv2 Model Code 20:45 - Code Read: Decoder & Deformable Attention 41:59 - Dynamic Data Augmentation 45:54 - Results