jizhishutong

YOLO-Seg-Extend

EasyCV

An all-in-one toolkit for computer vision

YOLOv8_Efficient

🚀Simple and efficient use for Ultralytics yolov8🚀

Awesome-BEV-Perception-Multi-Cameras

Awesome papers about Multi-Camera 3D Object Detection and Segmentation in Bird-Eye-View, such as DETR3D, BEVDet, BEVFormer

jizhishutong

Config files for my GitHub profile.

CINN

Compiler Infrastructure for Neural Networks

ConvNeXt

Code release for ConvNeXt model

ConvNeXt-V2

Code release for ConvNeXt V2 model

detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

FastDeploy

⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end optimization, multi-platform and multi-framework support.

github-readme-stats

:zap: Dynamically generated stats for your github readmes

lite.ai.toolkit

🛠 A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOX, YOLOP, YOLOv6, YOLOR, MODNet, YOLOX, YOLOv7, YOLOv5. MNN, NCNN, TNN, ONNXRuntime.

mmdeploy

OpenMMLab Model Deployment Framework

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mmdetection3d

OpenMMLab's next-generation platform for general 3D object detection.

mmyolo

OpenMMLab YOLO series toolbox and benchmark

PaddleDetection

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

PaddleSlim

PaddleSlim is an open-source library for deep model compression and architecture search.

pcl-learning

🔥PCL（Point Cloud Library）点云库学习记录

ppl.nn

A primitive library for neural network

ppq

PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

TensorRT

NVIDIA® TensorRT™, an SDK for high-performance deep learning inference, includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for inference applications.

tensorrt-alpha

TensorRT-Alpha implements CUDA accelerated deployment of more than 30 models, including but not limited to yolov8, yolov7, yolov6, yolov5, yolov4, yolov3, yolox, yolor based on subsequent Vision-Tranformer related deep learning models

ultralytics

Ultralytics for yolov8

ultralytics-1

NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite

yolov5_gpu_optimization

This repository provides YOLOV5 GPU optimization sample

YOLOv8-TensorRT

YOLOv8 using TensorRT accelerate !

yolov8-tensorrt-fork