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[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
A collection of resources on Sports Camera Calibration
Effortless data labeling with AI support from Segment Anything and other awesome models.
StyleGAN - Official TensorFlow Implementation
[CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
[CVPR 2024] Real-Time Open-Vocabulary Object Detection
This repository is a curated collection of the most exciting and influential CVPR 2024 papers. 🔥 [Paper + Code + Demo]
Convolutional recurrent network in pytorch
Text recognition (optical character recognition) with deep learning methods, ICCV 2019
Scene Text Recognition with Permuted Autoregressive Sequence Models (ECCV 2022)
This is an official implementation of Sports Field Registration via Keypoints-aware Label Condition.
Detect keypoints at a football pitch
🦜🔗 Build context-aware reasoning applications
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
MOT using deepsort and yolov3 with pytorch
Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes
YOLOv10: Real-Time End-to-End Object Detection
👀 MinGW 32bit and 64bit version of OpenCV compiled on Windows. Including OpenCV 3.3.1, 3.4.1, 3.4.1-x64, 3.4.5, 3.4.6, 3.4.7, 3.4.8-x64, 3.4.9, 4.0.0-alpha-x64, 4.0.0-rc-x64, 4.0.1-x64, 4.1.0, 4.1.…
SoccerNet: A Scalable Dataset for Action Spotting in Soccer Videos
Awesome video understanding toolkits based on PaddlePaddle. It supports video data annotation tools, lightweight RGB and skeleton based action recognition model, practical applications for video ta…
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
An annotated implementation of the Transformer paper.
Data-Copilot: Bridging Billions of Data and Humans with Autonomous Workflow
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
