YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
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Jun 28, 2024 - Python
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
An easy to use PyTorch to TensorRT converter
PyTorch ,ONNX and TensorRT implementation of YOLOv4
DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.
🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
OpenMMLab Model Deployment Framework
PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT
YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、reg…
YOLO5Face: Why Reinventing a Face Detector (https://arxiv.org/abs/2105.12931) ECCV Workshops 2022)
TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet
Deep learning gateway on Raspberry Pi and other edge devices
PaddleSlim is an open-source library for deep model compression and architecture search.
A nearly-live implementation of OpenAI's Whisper.
Add bisenetv2. My implementation of BiSeNet
Library for Fast and Flexible Human Pose Estimation
A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.
High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
Stable diffusion webui based on diffusers.
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