PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
翻译 - 使用自学式学习方法DINO进行视觉变形金刚训练的PyTorch代码
PyTorch code and models for the DINOv2 self-supervised learning method.
[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
Accompanying code for Paperspace tutorial "Build an AI to play Dino Run"
Rede Neural aplicada ao jogo do Dinossauro do Google Chrome!
翻译 - 神经网络已应用于Google Chrome Dinosaur游戏！
Automatic Chrome Dino Game
Grounding DINO with Segment Anything & Stable Diffusion colab
This is the third party implementation of the paper Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.
Chrome's Dino T-Rex game developed in Jetpack Compose
Chrome's t-rex based bootsector game (512 bytes) written in 16-bit x86 assembly (now with 8086 support!)
Object Tracking with YOLOv5, CLIP, DINO and DeepSORT
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Auto Segmentation label generation with SAM (Segment Anything) + Grounding DINO
Combining Segment Anything (SAM) with Grounded DINO for zero-shot object detection and CLIPSeg for zero-shot segmentation
A simple, efficient, open source RSS reader service
基于stm32的谷歌小恐龙游戏（Google Chrome's Dino Game on STM32）
#计算机科学#Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like...