supervision

We write your reusable computer vision tools. 💜

Science Score: 54.0%

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4 of 108 committers (3.7%) from academic institutions
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Low similarity (13.6%) to scientific vocabulary

Keywords

classification coco computer-vision deep-learning hacktoberfest image-processing instance-segmentation low-code machine-learning metrics object-detection oriented-bounding-box pascal-voc python pytorch tensorflow tracking video-processing yolo

Keywords from Contributors

yolov5s yolo11 onnx yolov8 agents inference tensorrt vit jetson inference-server

Last synced: 6 months ago · JSON representation ·

Repository

We write your reusable computer vision tools. 💜

Basic Info

Host: GitHub
Owner: roboflow
License: mit
Language: Python
Default Branch: develop
Homepage: https://supervision.roboflow.com
Size: 2.45 GB

Statistics

Stars: 34,439
Watchers: 213
Forks: 2,791
Open Issues: 129
Releases: 33

Topics

Created about 3 years ago · Last pushed 6 months ago

Metadata Files

Readme Contributing License Code of conduct Citation Codeowners

README.md

[notebooks](https://github.com/roboflow/notebooks) | [inference](https://github.com/roboflow/inference) | [autodistill](https://github.com/autodistill/autodistill) | [maestro](https://github.com/roboflow/multimodal-maestro)
[![version](https://badge.fury.io/py/supervision.svg)](https://badge.fury.io/py/supervision) [![downloads](https://img.shields.io/pypi/dm/supervision)](https://pypistats.org/packages/supervision) [![snyk](https://snyk.io/advisor/python/supervision/badge.svg)](https://snyk.io/advisor/python/supervision) [![license](https://img.shields.io/pypi/l/supervision)](https://github.com/roboflow/supervision/blob/main/LICENSE.md) [![python-version](https://img.shields.io/pypi/pyversions/supervision)](https://badge.fury.io/py/supervision) [![colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/roboflow/supervision/blob/main/demo.ipynb) [![gradio](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/Roboflow/Annotators) [![discord](https://img.shields.io/discord/1159501506232451173?logo=discord&label=discord&labelColor=fff&color=5865f2&link=https%3A%2F%2Fdiscord.gg%2FGbfgXGJ8Bk)](https://discord.gg/GbfgXGJ8Bk) [![built-with-material-for-mkdocs](https://img.shields.io/badge/Material_for_MkDocs-526CFE?logo=MaterialForMkDocs&logoColor=white)](https://squidfunk.github.io/mkdocs-material/)

👋 hello

We write your reusable computer vision tools. Whether you need to load your dataset from your hard drive, draw detections on an image or video, or count how many detections are in a zone. You can count on us! 🤝

💻 install

Pip install the supervision package in a Python>=3.9 environment.

bash pip install supervision

Read more about conda, mamba, and installing from source in our guide.

🔥 quickstart

models

Supervision was designed to be model agnostic. Just plug in any classification, detection, or segmentation model. For your convenience, we have created connectors for the most popular libraries like Ultralytics, Transformers, or MMDetection.

```python import cv2 import supervision as sv from ultralytics import YOLO

image = cv2.imread(...) model = YOLO("yolov8s.pt") result = model(image)[0] detections = sv.Detections.from_ultralytics(result)

len(detections)

5

```

👉 more model connectors

- inference Running with [Inference](https://github.com/roboflow/inference) requires a [Roboflow API KEY](https://docs.roboflow.com/api-reference/authentication#retrieve-an-api-key). ```python import cv2 import supervision as sv from inference import get_model image = cv2.imread(...) model = get_model(model_id="yolov8s-640", api_key=) result = model.infer(image)[0] detections = sv.Detections.from_inference(result) len(detections) # 5 ```

annotators

Supervision offers a wide range of highly customizable annotators, allowing you to compose the perfect visualization for your use case.

```python import cv2 import supervision as sv

image = cv2.imread(...) detections = sv.Detections(...)

boxannotator = sv.BoxAnnotator() annotatedframe = box_annotator.annotate( scene=image.copy(), detections=detections) ```

https://github.com/roboflow/supervision/assets/26109316/691e219c-0565-4403-9218-ab5644f39bce

datasets

Supervision provides a set of utils that allow you to load, split, merge, and save datasets in one of the supported formats.

```python import supervision as sv from roboflow import Roboflow

project = Roboflow().workspace().project() dataset = project.version().download("coco")

ds = sv.DetectionDataset.fromcoco( imagesdirectorypath=f"{dataset.location}/train", annotationspath=f"{dataset.location}/train/_annotations.coco.json", )

path, image, annotation = ds[0] # loads image on demand

for path, image, annotation in ds: # loads image on demand ```

👉 more dataset utils

- load ```python dataset = sv.DetectionDataset.from_yolo( images_directory_path=..., annotations_directory_path=..., data_yaml_path=... ) dataset = sv.DetectionDataset.from_pascal_voc( images_directory_path=..., annotations_directory_path=... ) dataset = sv.DetectionDataset.from_coco( images_directory_path=..., annotations_path=... ) ``` - split ```python train_dataset, test_dataset = dataset.split(split_ratio=0.7) test_dataset, valid_dataset = test_dataset.split(split_ratio=0.5) len(train_dataset), len(test_dataset), len(valid_dataset) # (700, 150, 150) ``` - merge ```python ds_1 = sv.DetectionDataset(...) len(ds_1) # 100 ds_1.classes # ['dog', 'person'] ds_2 = sv.DetectionDataset(...) len(ds_2) # 200 ds_2.classes # ['cat'] ds_merged = sv.DetectionDataset.merge([ds_1, ds_2]) len(ds_merged) # 300 ds_merged.classes # ['cat', 'dog', 'person'] ``` - save ```python dataset.as_yolo( images_directory_path=..., annotations_directory_path=..., data_yaml_path=... ) dataset.as_pascal_voc( images_directory_path=..., annotations_directory_path=... ) dataset.as_coco( images_directory_path=..., annotations_path=... ) ``` - convert ```python sv.DetectionDataset.from_yolo( images_directory_path=..., annotations_directory_path=..., data_yaml_path=... ).as_pascal_voc( images_directory_path=..., annotations_directory_path=... ) ```

🎬 tutorials

Want to learn how to use Supervision? Explore our how-to guides, end-to-end examples, cheatsheet, and cookbooks!

Dwell Time Analysis with Computer Vision | Real-Time Stream Processing

Created: 5 Apr 2024

Learn how to use computer vision to analyze wait times and optimize processes. This tutorial covers object detection, tracking, and calculating time spent in designated zones. Use these techniques to improve customer experience in retail, traffic management, or other scenarios.

Speed Estimation & Vehicle Tracking | Computer Vision | Open Source

Created: 11 Jan 2024

Learn how to track and estimate the speed of vehicles using YOLO, ByteTrack, and Roboflow Inference. This comprehensive tutorial covers object detection, multi-object tracking, filtering detections, perspective transformation, speed estimation, visualization improvements, and more.

## 💜 built with supervision Did you build something cool using supervision? [Let us know!](https://github.com/roboflow/supervision/discussions/categories/built-with-supervision) https://user-images.githubusercontent.com/26109316/207858600-ee862b22-0353-440b-ad85-caa0c4777904.mp4 https://github.com/roboflow/supervision/assets/26109316/c9436828-9fbf-4c25-ae8c-60e9c81b3900 https://github.com/roboflow/supervision/assets/26109316/3ac6982f-4943-4108-9b7f-51787ef1a69f ## 📚 documentation Visit our [documentation](https://roboflow.github.io/supervision) page to learn how supervision can help you build computer vision applications faster and more reliably. ## 🏆 contribution We love your input! Please see our [contributing guide](https://github.com/roboflow/supervision/blob/main/CONTRIBUTING.md) to get started. Thank you 🙏 to all our contributors!

Owner

Name: Roboflow
Login: roboflow
Kind: organization
Email: hello@roboflow.com
Location: United States of America

Website: https://roboflow.com
Twitter: roboflow
Repositories: 142
Profile: https://github.com/roboflow

Citation (CITATION.cff)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: Supervision
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Roboflow
    email: support@roboflow.com
repository-code: 'https://github.com/roboflow/supervision'
url: 'https://roboflow.github.io/supervision/'
abstract: >-
  supervision features a range of utilities for use in
  computer vision projects, from detections processing and
  filtering to confusion matrix calculation.
keywords:
  - computer vision
  - image processing
  - video processing
license: MIT

Committers

Last synced: 10 months ago

All Time

Total Commits: 2,943
Total Committers: 108
Avg Commits per committer: 27.25
Development Distribution Score (DDS): 0.76

Past Year

Commits: 1,033
Committers: 50
Avg Commits per committer: 20.66
Development Distribution Score (DDS): 0.734

Top Committers

Name	Email	Commits
SkalskiP	p**2@g**m	705
pre-commit-ci[bot]	6****]	472
Onuralp SEZER	t**r@g**m	316
dependabot[bot]	4****]	294
LinasKo	l**s@g**m	277
James Gallagher	j**g@j**g	99
hd	h**a@g**m	93
Linas Kondrackis	l**v@s**m	80
kirilllzaitsev	k**8@g**m	73
Christoforos Aristeidou	a**s@g**m	41
Mayank Agarwal	m**2@g**m	33
magda skoczen	m**o@o**l	26
Bhavay Malhotra	r**1@g**m	25
Jeslin P James	j**7@g**m	21
Nick Herrig	n**g@g**m	20
Adonai Vera	4****a	18
Kader Miyanyedi	K**i@h**m	15
tc360950	t**0@g**m	14
hardik	h**o@g**m	13
Raif Olson	r**4@d**u	13
Eric Criteser	c**2@g**m	12
Grzegorz Klimaszewski	1****w	12
Levi Vasconcelos	l**s@p**t	12
Ahmad Huzail Khan	1****l	11
Alex Norell	a**l@r**m	11
Rajarshi Misra	7****a	11
Soham	k**m@g**m	10
Brad Dwyer	b**d@r**m	10
rev	u**9@o**m	9
dbroboflow	d**s@r**m	9
and 78 more...

Committer Domains (Top 20 + Academic)

roboflow.com: 8 jamesg.blog: 1 skiff.com: 1 o2.pl: 1 dartmouth.edu: 1 printbear.net: 1 teleka.ru: 1 yandex.ru: 1 gmx.com: 1 iitgn.ac.in: 1 wrona.me: 1 gmail.com: 1 dyu.ac.kr: 1 bigbitbus.com: 1 rios.ai: 1 gurgul.com.pl: 1 gmx.de: 1 parkki.fr: 1 ae.studio: 1 seecs.edu.pk: 1 inf.ufpel.edu.br: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time

Total issues: 421
Total pull requests: 1,180
Average time to close issues: 26 days
Average time to close pull requests: 11 days
Total issue authors: 246
Total pull request authors: 158
Average comments per issue: 4.94
Average comments per pull request: 1.95
Merged pull requests: 913
Bot issues: 1
Bot pull requests: 418

Past Year

Issues: 70
Pull requests: 371
Average time to close issues: 10 days
Average time to close pull requests: 6 days
Issue authors: 50
Pull request authors: 58
Average comments per issue: 2.64
Average comments per pull request: 1.13
Merged pull requests: 257
Bot issues: 1
Bot pull requests: 155

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Top Authors

Issue Authors

SkalskiP (55)
LinasKo (20)
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Pull Request Authors

dependabot[bot] (550)
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SkalskiP (203)
LinasKo (148)
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Issue Labels

question (150) enhancement (129) bug (112) good first issue (26) hacktoberfest (24) api:annotator (17) Q1.2024 (14) version 0.14.0 (9) help wanted (8) api:detection (8) documentation (7) Q2.2024 (6) api:tracker (4) version: 0.13.0 (4) dependencies (4) python (4) api:keypoints (3) api: linezone (3) planning (3) api:polygonzone (2) version: 0.15.0 (2) version: 0.12.0 (2) duplicate (2) version: 0.18.0 (1) version: 0.16.0 (1) api:video (1) api:metrics (1) priority:high (1) api: video (1) api: datasets (1)

Pull Request Labels

dependencies (572) python (514) enhancement (130) bug (101) documentation (100) github_actions (59) api:annotator (48) api:detection (26) hacktoberfest (23) hacktoberfest-accepted (22) doc:sv:notebooks (20) version: 0.16.0 (17) version 0.14.0 (15) version: 0.13.0 (14) api:examples (9) api:security (8) version: 0.15.0 (7) version: 0.18.0 (6) api:datasets (6) api:keypoints (6) version: 0.12.0 (6) api: linezone (6) priority:high (5) api:tests (4) api:polygonzone (4) api:tracker (4) api:utilities (3) Q1.2024 (3) api:metrics (3) pre-commit-updates (3)

Packages

Total packages: 2
Total downloads:
- pypi 1,207,029 last-month
- npm 12 last-month
Total docker downloads: 47,788

Total dependent packages: 80
(may contain duplicates)
Total dependent repositories: 214
(may contain duplicates)
Total versions: 87
Total maintainers: 13

pypi.org: supervision

A set of easy-to-use utils that will come in handy in any Computer Vision project

Homepage: https://github.com/roboflow/supervision
Documentation: https://supervision.roboflow.com/latest/
License: MIT
Latest release: 0.26.1
published 7 months ago

Versions: 85
Dependent Packages: 80
Dependent Repositories: 214
Downloads: 1,207,029 Last month
Docker Downloads: 41,476

Rankings

Dependent packages count: 0.3%

Stargazers count: 0.4%

Downloads: 0.7%

Dependent repos count: 1.0%

Average: 1.5%

Forks count: 2.8%

Docker downloads count: 3.6%

Maintainers (2)

yeldarb SkalskiP

Last synced: 6 months ago

npmjs.org: supervision

We write your reusable computer vision tools. 💜

Homepage: https://github.com/roboflow/supervision#readme
License: MIT
Latest release: 0.0.9000
published about 2 years ago

Versions: 2
Dependent Packages: 0
Dependent Repositories: 0
Downloads: 12 Last month
Docker Downloads: 6,312

Rankings

Docker downloads count: 0.6%

Dependent repos count: 18.8%

Average: 31.1%

Dependent packages count: 46.0%

Downloads: 59.2%

Maintainers (11)

robroboflow chazie9 roboflowbrad roboflow-thomas stellasphere robolake roboflow_tony roboflow_maxwell emilyg11 rf_github_deployer bigbitbus

Last synced: 6 months ago

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