Stars
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
OpenMMLab Detection Toolbox and Benchmark
SGLang is a fast serving framework for large language models and vision language models.
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
All-in-One Development Tool based on PaddlePaddle
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving
DeepLab v3+ model in PyTorch. Support different backbones.
Papers and Datasets about Point Cloud.
Image Deblurring using Generative Adversarial Networks
Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.
SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.
A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution…
Simple samples for TensorRT programming
OpenMMLab Model Compression Toolbox and Benchmark.
Safety helmet wearing detect dataset, with pretrained model
Synchronized Batch Normalization implementation in PyTorch.
Open-source toolbox for visual fashion analysis based on PyTorch
Official GitHub repository for Argoverse dataset
代码 -《深度学习之PyTorch物体检测实战》