Utilities for AI - Assisted Mapping fAIr
Project description
hot_fair_utilities ( Utilities for AI Assisted Mapping fAIr )
Initially lib was developed during Open AI Challenge with Omdeena. Learn more about challenge from here
hot_fair_utilities Installation
Installing all libraries could be pain so we suggest you to use docker , If you like to do it bare , You can follow .github/build.yml
Clone repo
git clone https://github.com/hotosm/fAIr-utilities.git
Navigate to fAIr-utilities
cd fAIr-utilities
Build Docker
docker build --tag fairutils .
Run Container with default Jupyter Notebook , Or add bash at end to see terminal
docker run -it --rm --gpus=all -p 8888:8888 fairutils
[Optional] If you have downloaded RAMP already , By Default tf is set as Ramp_Home , You can change that by attaching your ramp-home volume to container as tf
if not you can skip this step , Ramp code will be downloaded on package_test.ipynb
-v /home/hotosm/fAIr-utilities:/tf
Test inside Docker Container
docker run -it --rm --gpus=all -p 8888:8888 fairutils bash
python test_app.py
Test Installation and workflow
You can run package_test.ipynb on your notebook from docker to test the installation and workflow with sample data provided , Or open with collab and connect your runtime locally
Get started with development
Now you can play with your data , use your own data , use different models for testing and also Help me Improve me !
Version Control
Follow Version Control Docs to publish and maintain new version
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file hot-fair-utilities-1.2.1.tar.gz.
File metadata
- Download URL: hot-fair-utilities-1.2.1.tar.gz
- Upload date:
- Size: 59.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 621e063a6f473dafc52262d2ff8d6d6223ab1d73cb34c8a017e245232cfb5247 |
|
| MD5 | 9557d16e038d7b13b28a76cfa4eaf479 |
|
| BLAKE2b-256 | ea29e7ec43230cf97d046c8857bce82ec03a66e5728d1571f61bcd6896904c4a |
