The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning. Learn more →
Top 23 Python Yolov5 Projects
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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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.
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mmyolo
OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.
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yolov5-face
YOLO5Face: Why Reinventing a Face Detector (https://arxiv.org/abs/2105.12931) ECCV Workshops 2022)
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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.
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anylabeling
Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything, MobileSAM!!
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yolov5_obb
yolov5 + csl_label.(Oriented Object Detection)（Rotation Detection）（Rotated BBox）基于yolov5的旋转目标检测
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autodistill
Images to inference with no labeling (use foundation models to train supervised models).
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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)
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AS-One
Easy & Modular Computer Vision Detectors and Trackers - Run YOLO-NAS,v8,v7,v6,v5,R,X in under 20 lines of code.
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lunar
a neural network aim assist that uses real-time object detection accelerated with CUDA on Nvidia GPUs (by zeyad-mansour)
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classy-sort-yolov5
Ready-to-use realtime multi-object tracker that works for any object category. YOLOv5 + SORT implementation.
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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 ).
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easy-yolov7
This a clean and easy-to-use implementation of YOLOv7 in PyTorch, made with ❤️ by Theos AI.
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SaaSHub
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Ref https://www.youtube.com/watch?v=0GwnxFNfZhM https://github.com/ultralytics/yolov5 https://dev.to/gfstealer666/kaaraich-yolo-alkrithuemainkaartrwcchcchabwatthu-object-detection-3lef https://www.kaggle.com/datasets/devdgohil/the-oxfordiiit-pet-dataset/data
Project mention: The CEO of Ultralytics (yolov8) using LLMs to engage with commenters on GitHub | news.ycombinator.com | 2024-02-12Yep, I noticed this a while ago. It posts easily identifiable ChatGPT responses. It also posts garbage wrong answers which makes it worse than useless. Totally disrespectful to the userbase.
https://github.com/ultralytics/ultralytics/issues/5748#issue...
Hi All, I am trying to detect defects in the images using YOLOv8where some of the classes (defectType1, defectType2) have very small bounding boxes and some of them have large bounding boxes associated with the, (defectType3, defectType4). Also, real-time operation is desired (at least 5Hz on Jetson Xavier) What I have done till now: I am primarily trying to use the SAHI technique (Slicing Aided Hyper Inference)
Project mention: AnyLabeling Auto-labeling with MobileSAM - the newest and fastest variant of Segment Anything | /r/computervision | 2023-06-28Check out AnyLabeling v0.3.2 today: https://github.com/vietanhdev/anylabeling/releases/tag/v0.3.2.
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
Project mention: suggest me a good hcaptcha solver with best motion data and doesn't lock my tokens | /r/Discord_selfbots | 2023-05-14
Yeah, inference[1] is our open source package for running locally (either directly in Python or via a Docker container). It works with all the models on Universe, models you train yourself (assuming we support the architecture; we have a bunch of notebooks available[2]), or train in our platform, plus several more general foundation models[3] (for things like embeddings, zero-shot detection, question answering, OCR, etc).
We also have a hosted API[4] you can hit for most models we support (except some of the large vision models that are really GPU-heavy) if you prefer.
[1] https://github.com/roboflow/inference
[2] https://github.com/roboflow/notebooks
Project mention: Sharing an automatic tool I built for video background removal (free and better than runwayml) | /r/StableDiffusion | 2023-05-04
Project mention: [PROJECT]YOLOv8 running on MacOS at 10FPS using Modular Open SourceAS-One Library | /r/MachineLearning | 2023-04-27
Project mention: If you switch to FaceIt, i want my money back!!! | /r/BattleBitRemastered | 2023-06-23Yes, 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
Hello. Q1: I have a large collection of files from which i have to encode faces. Until now, the fastest way i've found is to use a yolov8 finetune model (https://github.com/derronqi/yolov8-face) for face detection and the face_recognition library for encoding in a 128. I've tried using deepface but it's much slower.
Project mention: Where can I find different prettained yolo5 models for face detection? | /r/computervision | 2023-06-02Not exactly face, but head detection I know works nicely: https://github.com/deepakcrk/yolov5-crowdhuman
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).
The latest post mention was on 2024-04-15.
Python Yolov5 related posts
- จำแนกสายพันธ์ุหมากับแมวง่ายๆด้วยYoLoV5
- Supervision: Reusable Computer Vision
- The CEO of Ultralytics (yolov8) using LLMs to engage with commenters on GitHub
- The CEO of Ultralytics (yolov8) using LLMs to engage with commenters on GitHub
- How would i go about having YOLO v5 return me a list from left to right of all detected objects in an image?
- Show HN: Pip install inference, open source computer vision deployment
- Building a Drowsiness Detection Web App from scratch - pt2
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A note from our sponsor - WorkOS
workos.com | 19 Apr 2024
Index
What are some of the best open-source Yolov5 projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | yolov5 | 46,738 |
| 2 | ultralytics | 22,289 |
| 3 | PaddleDetection | 12,008 |
| 4 | yolov3 | 9,981 |
| 5 | sahi | 3,534 |
| 6 | mmyolo | 2,665 |
| 7 | yolov5-face | 1,934 |
| 8 | anylabeling | 1,830 |
| 9 | yolov5_obb | 1,713 |
| 10 | autodistill | 1,520 |
| 11 | hcaptcha-challenger | 1,404 |
| 12 | inference | 1,015 |
| 13 | segment-anything-video | 907 |
| 14 | AS-One | 570 |
| 15 | lunar | 396 |
| 16 | yolov8-face | 373 |
| 17 | yolov5-opencv-cpp-python | 312 |
| 18 | one-yolov5 | 209 |
| 19 | yolov5-crowdhuman | 189 |
| 20 | ClashRoyaleBuildABot | 176 |
| 21 | classy-sort-yolov5 | 107 |
| 22 | yolo_series_deepsort_pytorch | 80 |
| 23 | easy-yolov7 | 78 |
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