PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
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The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
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YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
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The official code for “DocTr: Document Image Transformer for Geometric Unwarping and Illumination Correction”, ACM MM, Oral Paper, 2021.
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Ultralytics YOLO11 🚀
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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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OpenMMLab Foundational Library for Training Deep Learning Models
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OpenMMLab Image Classification Toolbox and Benchmark
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OpenMMLab Pre-training Toolbox and Benchmark
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Real-time multi-camera multi-object tracker using YOLOv5 and StrongSORT with OSNet
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An all-in-one toolkit for computer vision
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SOTA Re-identification Methods and Toolbox
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OpenMMLab Detection Toolbox and Benchmark
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MOT using deepsort and yolov3 with pytorch
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OpenMMLab Text Detection, Recognition and Understanding Toolbox
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OpenMMLab Semantic Segmentation Toolbox and Benchmark.
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The state-of-the-art image restoration model without nonlinear activation functions.
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Official PyTorch implementation of "Multi-modal Queried Object Detection in the Wild" (accepted by NeurIPS 2023)
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A pytorch implementation of the "Selective Convolutional Descriptor Aggregation" algorithm
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OpenMMLab YOLO series toolbox and benchmark
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