Pyrovision

Computer vision library for wildfire detection.
https://github.com/pyronear/pyro-vision

Category: Biosphere
Sub Category: Wildfire

Keywords

computer-vision deep-learning image-classification keypoint-detection object-detection onnx python pytorch wildfire

Keywords from Contributors

jekyll dash-server plotly-dash web-app wildfires wildfire-management onnxruntime

Last synced: 19 minutes ago
JSON representation

Repository metadata

Computer vision library for wildfire detection 🌲 Deep learning models in PyTorch & ONNX for inference on edge devices (e.g. Raspberry Pi)

Host: GitHub
URL: https://github.com/pyronear/pyro-vision
Owner: pyronear
License: apache-2.0
Created: 2019-09-08T13:15:41.000Z (almost 7 years ago)
Default Branch: main
Last Pushed: 2024-04-12T00:53:18.000Z (about 2 years ago)
Last Synced: 2026-06-07T04:04:02.521Z (8 days ago)
Topics: computer-vision, deep-learning, image-classification, keypoint-detection, object-detection, onnx, python, pytorch, wildfire
Language: Python
Homepage: https://pyronear.org/pyro-vision/
Size: 7.66 MB
Stars: 65
Watchers: 10
Forks: 24
Open Issues: 10
Releases: 4
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- Funding: .github/FUNDING.yml
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md

Pyrovision: wildfire early detection

The increasing adoption of mobile phones have significantly shortened the time required for firefighting agents to be alerted of a starting wildfire. In less dense areas, limiting and minimizing this duration remains critical to preserve forest areas.

Pyrovision aims at providing the means to create a wildfire early detection system with state-of-the-art performances at minimal deployment costs.

Quick Tour

Automatic wildfire detection in PyTorch

You can use the library like any other python package to detect wildfires as follows:

from pyrovision.models import rexnet1_0x
from torchvision import transforms
import torch
from PIL import Image


# Init
normalize = transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])

tf = transforms.Compose([transforms.Resize(size=(448)), transforms.CenterCrop(size=448),
                         transforms.ToTensor(), normalize])

model = rexnet1_0x(pretrained=True).eval()

# Predict
im = tf(Image.open("path/to/your/image.jpg").convert('RGB'))

with torch.no_grad():
    pred = model(im.unsqueeze(0))
    is_wildfire = torch.sigmoid(pred).item() >= 0.5

Setup

Python 3.6 (or higher) and pip/conda are required to install PyroVision.

Stable release

You can install the last stable release of the package using pypi as follows:

pip install pyrovision

or using conda:

conda install -c pyronear pyrovision

Developer installation

Alternatively, if you wish to use the latest features of the project that haven't made their way to a release yet, you can install the package from source:

git clone https://github.com/pyronear/pyro-vision.git
pip install -e pyro-vision/.

What else

Documentation

The full package documentation is available here for detailed specifications.

Demo app

The project includes a minimal demo app using Gradio

demo_app

You can check the live demo, hosted on 🤗 HuggingFace Spaces 🤗 over here 👇

Docker container

If you wish to deploy containerized environments, a Dockerfile is provided for you build a docker image:

docker build . -t <YOUR_IMAGE_TAG>

Minimal API template

Looking for a boilerplate to deploy a model from PyroVision with a REST API? Thanks to the wonderful FastAPI framework, you can do this easily. Follow the instructions in ./api to get your own API running!

Reference scripts

If you wish to train models on your own, we provide training scripts for multiple tasks!
Please refer to the ./references folder if that's the case.

Citation

If you wish to cite this project, feel free to use this BibTeX reference:

@misc{pyrovision2019,
    title={Pyrovision: wildfire early detection},
    author={Pyronear contributors},
    year={2019},
    month={October},
    publisher = {GitHub},
    howpublished = {\url{https://github.com/pyronear/pyro-vision}}
}

Contributing

Please refer to CONTRIBUTING to help grow this project!

License

Distributed under the Apache 2 License. See LICENSE for more information.

Owner metadata

Name: PyroNear
Login: pyronear
Email:
Kind: organization
Description: Preserving forests from wildfires one commit at a time
Website: https://pyronear.org/
Location: Paris
Twitter: pyro_near
Company:
Icon url: https://avatars.githubusercontent.com/u/61667887?v=4
Repositories: 23
Last ynced at: 2024-10-30T02:43:17.535Z
Profile URL: https://github.com/pyronear

GitHub Events

Total

Fork event: 1
Watch event: 10

Last Year

Fork event: 1
Watch event: 2

Committers metadata

Last synced: 2 days ago

Total Commits: 140
Total Committers: 10
Avg Commits per committer: 14.0
Development Distribution Score (DDS): 0.457

Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0

Name	Email	Commits
F-G Fernandez	f**3@h**r	76
x0s	g**a@g**m	29
lostanlen	m**n@g**m	20
dependabot[bot]	4****]	6
blenzi	B**i@c**h	4
fe51	5****1	1
Serhii Kupriienko	7****a	1
Nidham Tekaya	6****m	1
Ankit Dobhal	d**t@p**m	1
Akidlitu	5****u	1

Committer domains:

cern.ch: 1

Issue and Pull Request metadata

Last synced: 22 days ago

Total issues: 46
Total pull requests: 139
Average time to close issues: 5 months
Average time to close pull requests: 26 days
Total issue authors: 9
Total pull request authors: 10
Average comments per issue: 1.65
Average comments per pull request: 1.86
Merged pull request: 116
Bot issues: 0
Bot pull requests: 13

Past year issues: 0
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 0
Past year average comments per issue: 0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/pyronear/pyro-vision

Top Issue Authors

frgfm (27)
MateoLostanlen (9)
blenzi (3)
Akilditu (2)
x0s (1)
TekayaNidham (1)
alizeeeeeee (1)
KevinJMcEntee (1)
fe51 (1)

Top Pull Request Authors

frgfm (73)
MateoLostanlen (31)
dependabot[bot] (16)
x0s (8)
blenzi (5)
Akilditu (2)
fe51 (2)
powerexploit (2)
skupr-anaconda (1)
TekayaNidham (1)

Top Issue Labels

help wanted (17)
type: enhancement (13)
module: datasets (12)
module: models (11)
type: bug (10)
ext: references (6)
ext: tests (5)
wontfix (4)
topic: documentation (3)
topic: build (3)
invalid (2)
question (2)
ext: demo (1)
module: utils (1)

Top Pull Request Labels

type: enhancement (47)
topic: documentation (36)
topic: build (35)
module: datasets (30)
type: bug (21)
ext: tests (16)
dependencies (16)
ext: api (15)
ext: references (14)
module: models (13)
topic: ci (13)
type: new feature (10)
module: utils (5)
ext: docs (5)
type: code quality (5)
module: nn (3)
ext: scripts (3)
topic: docker (2)
type: breaking change (2)
ext: demo (2)
type: misc (1)
question (1)
invalid (1)

Package metadata

Total packages: 2
Total downloads:
- pypi: 407 last-month
Total dependent packages: 0 (may contain duplicates)
Total dependent repositories: 1 (may contain duplicates)
Total versions: 7
Total maintainers: 1

proxy.golang.org: github.com/pyronear/pyro-vision

Homepage:
Documentation: https://pkg.go.dev/github.com/pyronear/pyro-vision#section-documentation
Licenses: apache-2.0
Latest release: v0.2.0 (published almost 4 years ago)
Last Synced: 2026-06-13T10:28:53.277Z (2 days ago)
Versions: 4
Dependent Packages: 0
Dependent Repositories: 0
Rankings:
- Dependent packages count: 5.395%
- Average: 5.576%
- Dependent repos count: 5.758%

pypi.org: pyrovision

Datasets and models for wildfire detection in PyTorch

Homepage:
Documentation: https://pyrovision.readthedocs.io/
Licenses: Apache Software License
Latest release: 0.2.0 (published almost 4 years ago)
Last Synced: 2026-06-13T10:28:50.912Z (2 days ago)
Versions: 3
Dependent Packages: 0
Dependent Repositories: 1
Downloads: 407 Last month
Rankings:
- Dependent packages count: 10.095%
- Dependent repos count: 21.615%
- Average: 23.637%
- Downloads: 39.2%
Maintainers (1)
- pyronear

Dependencies

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Dockerfile docker

python 3.8.1-slim build

api/Dockerfile docker

tiangolo/uvicorn-gunicorn-fastapi python3.8-slim build

api/docker-compose.yml docker

api/poetry.lock pypi

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api/pyproject.toml pypi

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demo/requirements.txt pypi

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pyproject.toml pypi

huggingface-hub >=0.4.0
pylocron >=0.2.1,<1.0.0
requests >=2.20.0,<3.0.0
torch >=1.11.0,<2.0.0
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tqdm >=4.1.0

setup.py pypi

Score: 12.633788362573158