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Top 23 Python Yolov5 Projects
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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.
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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, Trackers & SAM - Run YOLOv9,v8,v7,v6,v5,R,X in under 10 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
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Docs
# Clone ultralytics repo git clone https://github.com/ultralytics/ultralytics # cd to local directory cd ultralytics # Install dependencies pip install -r requirements.txt
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!
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
[5]: https://blog.roboflow.com/?ref=whoishiring0224
[6]: https://www.youtube.com/@Roboflow
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
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
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
Python Yolov5 related posts
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Mastering YOLOv10: A Complete Guide with Hands-On Projects
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จำแนกสายพันธ์ุหมากับแมวง่ายๆด้วยYoLoV5
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Supervision: Reusable Computer Vision
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The CEO of Ultralytics (yolov8) using LLMs to engage with commenters on GitHub
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The CEO of Ultralytics (yolov8) using LLMs to engage with commenters on GitHub
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How would i go about having YOLO v5 return me a list from left to right of all detected objects in an image?
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Show HN: Pip install inference, open source computer vision deployment
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A note from our sponsor - InfluxDB
www.influxdata.com | 1 Jun 2024
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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