Python Yolov5

Open-source Python projects categorized as Yolov5

Top 23 Python Yolov5 Projects

  • yolov5

    YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

  • Project mention: Mastering YOLOv10: A Complete Guide with Hands-On Projects | dev.to | 2024-05-30

    Docs

  • ultralytics

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

  • Project mention: Mastering YOLOv10: A Complete Guide with Hands-On Projects | dev.to | 2024-05-30

    # Clone ultralytics repo git clone https://github.com/ultralytics/ultralytics # cd to local directory cd ultralytics # Install dependencies pip install -r requirements.txt

  • Scout Monitoring

    Free Django app performance insights with Scout Monitoring. Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.

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  • PaddleDetection

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

  • yolov3

    YOLOv3 in PyTorch > ONNX > CoreML > TFLite

  • sahi

    Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

  • Project mention: How to Detect Small Objects | dev.to | 2024-04-22

    An alternative to this is to leverage existing object detection, apply the model to patches or slices of fixed size in our image, and then stitch the results together. This is the idea behind Slicing-Aided Hyper Inference!

  • mmyolo

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

  • yolov5-face

    YOLO5Face: Why Reinventing a Face Detector (https://arxiv.org/abs/2105.12931) ECCV Workshops 2022)

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
  • anylabeling

    Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything, MobileSAM!!

  • Project mention: AnyLabeling Auto-labeling with MobileSAM - the newest and fastest variant of Segment Anything | /r/computervision | 2023-06-28

    Check out AnyLabeling v0.3.2 today: https://github.com/vietanhdev/anylabeling/releases/tag/v0.3.2.

  • yolov5_obb

    yolov5 + csl_label.(Oriented Object Detection)(Rotation Detection)(Rotated BBox)基于yolov5的旋转目标检测

  • autodistill

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

  • Project mention: Ask HN: Who is hiring? (February 2024) | news.ycombinator.com | 2024-02-01

    Roboflow | Open Source Software Engineer, Web Designer / Developer, and more. | Full-time (Remote, SF, NYC) | https://roboflow.com/careers?ref=whoishiring0224

    Roboflow is the fastest way to use computer vision in production. We help developers give their software the sense of sight. Our end-to-end platform[1] provides tooling for image collection, annotation, dataset exploration and curation, training, and deployment.

    Over 250k engineers (including engineers from 2/3 Fortune 100 companies) build with Roboflow. We now host the largest collection of open source computer vision datasets and pre-trained models[2]. We are pushing forward the CV ecosystem with open source projects like Autodistill[3] and Supervision[4]. And we've built one of the most comprehensive resources for software engineers to learn to use computer vision with our popular blog[5] and YouTube channel[6].

    We have several openings available but are primarily looking for strong technical generalists who want to help us democratize computer vision and like to wear many hats and have an outsized impact. Our engineering culture is built on a foundation of autonomy & we don't consider an engineer fully ramped until they can "choose their own loss function". At Roboflow, engineers aren't just responsible for building things but also for helping us figure out what we should build next. We're builders & problem solvers; not just coders. (For this reason we also especially love hiring past and future founders.)

    We're currently hiring full-stack engineers for our ML and web platform teams, a web developer to bridge our product and marketing teams, several technical roles on the sales & field engineering teams, and our first applied machine learning researcher to help push forward the state of the art in computer vision.

    [1]: https://roboflow.com/?ref=whoishiring0224

    [2]: https://roboflow.com/universe?ref=whoishiring0224

    [3]: https://github.com/autodistill/autodistill

    [4]: https://github.com/roboflow/supervision

    [5]: https://blog.roboflow.com/?ref=whoishiring0224

    [6]: https://www.youtube.com/@Roboflow

  • hcaptcha-challenger

    🥂 Gracefully face hCaptcha challenge with MoE(ONNX) embedded solution.

  • inference

    A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models. (by roboflow)

  • Project mention: YOLOv5 on FPGA with Hailo-8 and 4 Pi Cameras | news.ycombinator.com | 2024-05-31

    Great question! I work for a computer vision company (Roboflow) and have seen computer vision used for everything from accident prevention on critical infrastructure to identifying defects on vehicle parts to detecting trading cards for use in video game applications.

    Drawing bounding boxes is a common end point for demos, but for businesses using computer vision there is an entire world after that: on device deployment. This can be on devices like an NVIDIA Jetson (a very common choice), to Raspberry Pis to central CUDA GPU servers for processing large volumes of data (maybe connected to cameras over RTSP).

    Note: There are many models that are faster and perform better than YOLOv5 (i.e. YOLOv8, YOLOv10, PaliGemma). Roboflow Inference that our ML team maintains has various guides on deploying models to the edge: https://inference.roboflow.com/#inference-pipeline

  • segment-anything-video

    MetaSeg: Packaged version of the Segment Anything repository

  • AS-One

    Easy & Modular Computer Vision Detectors, Trackers & SAM - Run YOLOv9,v8,v7,v6,v5,R,X in under 10 lines of code.

  • lunar

    a neural network aim assist that uses real-time object detection accelerated with CUDA on Nvidia GPUs (by zeyad-mansour)

  • Project mention: If you switch to FaceIt, i want my money back!!! | /r/BattleBitRemastered | 2023-06-23

    Yes, this is true. This is sadly the same problem with every classical anti-cheat system. Even if it's running as a kernel service, cheaters will not care at all. All it takes is one nvidia jetson nano or a comparable device and a connected strike pack. https://github.com/zeyad-mansour/lunar

  • yolov8-face

    yolov8 face detection with landmark

  • yolov5-opencv-cpp-python

    Example of using ultralytics YOLO V5 with OpenCV 4.5.4, C++ and Python

  • one-yolov5

    A more efficient yolov5 with oneflow backend 🎉🎉🎉

  • yolov5-crowdhuman

    Head and Person detection using yolov5. Detection from crowd.

  • Project mention: Where can I find different prettained yolo5 models for face detection? | /r/computervision | 2023-06-02

    Not exactly face, but head detection I know works nicely: https://github.com/deepakcrk/yolov5-crowdhuman

  • ClashRoyaleBuildABot

    A platform for creating bots to play Clash Royale

  • classy-sort-yolov5

    Ready-to-use realtime multi-object tracker that works for any object category. YOLOv5 + SORT implementation.

  • yolo_series_deepsort_pytorch

    Deepsort with yolo series. This project support the existing yolo detection model algorithm (YOLOV8, YOLOV7, YOLOV6, YOLOV5, YOLOV4Scaled, YOLOV4, YOLOv3', PPYOLOE, YOLOR, YOLOX ).

  • easy-yolov7

    This a clean and easy-to-use implementation of YOLOv7 in PyTorch, made with ❤️ by Theos AI.

  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

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NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

Python Yolov5 related posts

  • Mastering YOLOv10: A Complete Guide with Hands-On Projects

    3 projects | dev.to | 30 May 2024
  • จำแนกสายพันธ์ุหมากับแมวง่ายๆด้วยYoLoV5

    1 project | dev.to | 15 Apr 2024
  • Supervision: Reusable Computer Vision

    5 projects | news.ycombinator.com | 24 Mar 2024
  • The CEO of Ultralytics (yolov8) using LLMs to engage with commenters on GitHub

    2 projects | news.ycombinator.com | 12 Feb 2024
  • The CEO of Ultralytics (yolov8) using LLMs to engage with commenters on GitHub

    1 project | news.ycombinator.com | 12 Feb 2024
  • How would i go about having YOLO v5 return me a list from left to right of all detected objects in an image?

    1 project | /r/computervision | 13 Nov 2023
  • Show HN: Pip install inference, open source computer vision deployment

    4 projects | news.ycombinator.com | 23 Aug 2023
  • A note from our sponsor - InfluxDB
    www.influxdata.com | 1 Jun 2024
    Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality. Learn more →

Index

What are some of the best open-source Yolov5 projects in Python? This list will help you:

Project Stars
1 yolov5 47,719
2 ultralytics 24,238
3 PaddleDetection 12,199
4 yolov3 10,038
5 sahi 3,656
6 mmyolo 2,767
7 yolov5-face 1,973
8 anylabeling 1,928
9 yolov5_obb 1,750
10 autodistill 1,606
11 hcaptcha-challenger 1,431
12 inference 1,079
13 segment-anything-video 921
14 AS-One 583
15 lunar 396
16 yolov8-face 405
17 yolov5-opencv-cpp-python 312
18 one-yolov5 210
19 yolov5-crowdhuman 189
20 ClashRoyaleBuildABot 181
21 classy-sort-yolov5 108
22 yolo_series_deepsort_pytorch 93
23 easy-yolov7 78

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