Yolov5 Python Packages

ultralytics-thop

Profile PyTorch models for FLOPs and parameters, helping to evaluate computational efficiency and memory usage.

inference-gpu

Turn any computer or edge device into a command center for your computer vision projects.

inference-cli

Turn any computer or edge device into a command center for your computer vision projects.

yolov5

Packaged version of ultralytics/yolov5 + many extra features

inference-sdk

Turn any computer or edge device into a command center for your computer vision projects.

inference

Turn any computer or edge device into a command center for your computer vision projects.

pylabel

Python library for computer vision labeling tasks. The core functionality is to translate bounding box annotations between different formats-for example, from coco to yolo.

mkdocs-ultralytics-plugin

MkDocs plugin for Ultralytics Docs at https://docs.ultralytics.com

inference-core

Turn any computer or edge device into a command center for your computer vision projects.

autodistill

Images to inference with no labeling (use foundation models to train supervised models).

deep-utils

An open-source toolkit which is full of handy functions, including the most used models and utilities for deep-learning practitioners!

inference-cpu

Turn any computer or edge device into a command center for your computer vision projects.

mmyolo

OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

torchyolo

PyTorch implementation of YOLOv5, YOLOv6, YOLOv7, YOLOv8

yolov5-detect

simple yolov5 wrapper for detect(onnx, dnn, openvino)

yolort

yolort is a runtime stack for yolov5 on specialized accelerators such as tensorrt, libtorch, onnxruntime, tvm and ncnn.

torchlm

💎An easy-to-use PyTorch library for face landmarks detection: training, evaluation, inference, and 100+ data augmentations.🎉

yolov5-face

Real-time face detection using YOLOv5 - Fork

ultralytics-yolov5

No description available

bytetracker

Packaged version of the ByteTrack repository

paddledet

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

yololint

YOLO Dataset Debugger (yololint) is a tool for automatic validation and diagnostics of YOLO-format datasets. It helps you quickly detect common errors, inconsistencies, and missing files in your dataset structure and annotations before you start model training. With clear reports and easy usage, you save time and ensure your dataset is ready for deep learning projects.

tensorrt-yolo

🚀 Easier & Faster YOLO Deployment Toolkit for NVIDIA 🛠️

yolov5-inference

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite