From 87708bc8d6bbbbc10bb1056c4a76109c0e8be5d1 Mon Sep 17 00:00:00 2001 From: Neelima Mohanty <97789856+neelimagoogly@users.noreply.github.com> Date: Thu, 13 Jul 2023 12:02:33 +0530 Subject: [PATCH 1/9] Updated Readme.md --- Readme.md | 10 ++++++++++ 1 file changed, 10 insertions(+) diff --git a/Readme.md b/Readme.md index a8c6db0c..d1195db6 100644 --- a/Readme.md +++ b/Readme.md @@ -25,3 +25,13 @@ To eliminate model biases, fAIr is built to work with the local communities and See below a suggested product roadmap [subject to change] that provides high-level overview for planned work. ![image](https://user-images.githubusercontent.com/98902727/218769416-b3c71d3b-7c20-4d40-ab1e-88442d06445d.png) +# General Workflow of fAIr +Adding photos here on general workflow to be used in the docs. +![fAIr1](https://github.com/hotosm/fAIr/assets/97789856/01c0e3b6-a00c-439d-a2ed-1c14b62e6364) + +![fAIr2](https://github.com/hotosm/fAIr/assets/97789856/63394f65-ce0d-4a3d-8683-7455f14fb366) + + + + + From c01a8b7d4f1ebbef4631cf91fb3cee2cc60bc6ad Mon Sep 17 00:00:00 2001 From: Neelima Mohanty <97789856+neelimagoogly@users.noreply.github.com> Date: Fri, 14 Jul 2023 20:37:32 +0530 Subject: [PATCH 2/9] Update Readme.md --- Readme.md | 18 +++++++++++++++++- 1 file changed, 17 insertions(+), 1 deletion(-) diff --git a/Readme.md b/Readme.md index d1195db6..93dfe360 100644 --- a/Readme.md +++ b/Readme.md @@ -26,11 +26,27 @@ See below a suggested product roadmap [subject to change] that provides high-lev ![image](https://user-images.githubusercontent.com/98902727/218769416-b3c71d3b-7c20-4d40-ab1e-88442d06445d.png) # General Workflow of fAIr -Adding photos here on general workflow to be used in the docs. + ![fAIr1](https://github.com/hotosm/fAIr/assets/97789856/01c0e3b6-a00c-439d-a2ed-1c14b62e6364) +1. Project Area by tha project manager and imagery from Open Areal Map is submitted to the task manager which then is sent to Open Street Map after undergoing the process of manual mapping and validation. +2. Local dataset(created using the imagery and raw API data as inputs) is trained and local model is created and trained. +3. It is then validated , published , mapped and pushed back into Open Street Map. +4. Finally according to the feedback , the published model is sent for improvement and training . +
+ +# fAIr Architecture ![fAIr2](https://github.com/hotosm/fAIr/assets/97789856/63394f65-ce0d-4a3d-8683-7455f14fb366) +1. Third party extensions are sent to fAIr backend which then generates data for OSM raw data API , osmconflator and geoson2osm xml . +2. Data from fAIr backend is sent to fAIr utilities . The backend is using s separate library we call it fAIr-utilities to handle: + + 1. Data preparation for the models + 2. models trainings + 3. inference process + 4. post processing (converting the predicted features to geo data) +3. The public API is then sent to the fAIr frontend. + From bedb47f28ac5b0a672b18a92d63dabf8216b12cd Mon Sep 17 00:00:00 2001 From: Neelima Mohanty <97789856+neelimagoogly@users.noreply.github.com> Date: Mon, 17 Jul 2023 18:07:40 +0530 Subject: [PATCH 3/9] Create Contribution.md --- docs/Contribution.md | 29 +++++++++++++++++++++++++++++ 1 file changed, 29 insertions(+) create mode 100644 docs/Contribution.md diff --git a/docs/Contribution.md b/docs/Contribution.md new file mode 100644 index 00000000..147d4d73 --- /dev/null +++ b/docs/Contribution.md @@ -0,0 +1,29 @@ +## :hugs: Welcome + +:+1::tada: First off, we are really glad you're reading this, because we need volunteer developers to help improve the fAIr! :tada::+1: + +We welcome and encourage contributors of all skill levels and we are committed to making sure your participation is inclusive, enjoyable and rewarding. If you have never contributed to an open source project before, we are a good place to start and will make sure you are supported every step of the way. If you have **any** questions, please ask! + +There are many ways to contribute to this repo: + +## Testing + +Adding test cases, or simply testing out existing functionality. + +## Report bugs and suggest improvements + +The [issue queue](https://github.com/hotosm/fAIr/issues) is the best way to get started. There are issue templates for BUGs and FEATURES that you can use, or you can create your own. Once you have submitted an issue, it will be assigned one label out of the following [label categories](https://github.com/hotosm/fAIr/labels). If you are wondering where to start, you can filter by the GoodFirstIssue label. + +## Code contributions + +Fork repo , Maintain your local changes on branch and Create pull requests (PRs) for changes that you think are needed. We would really appreciate your help! + +## Documentation contributions + +Create pull requests (PRs) for changes that you think are needed to the documentation of fAIr.As of now you can find the documentation work at the [docs](https://github.com/hotosm/fAIr/tree/master/docs) directory. + + +## :handshake: Thank you + +Thank you very much in advance for your contributions!! Please ensure you refer to our [Code of Conduct](https://github.com/hotosm/fAIr/blob/master/docs/Code-of-Conduct.md). +If you've read the guidelines, but you are still not sure how to contribute on Github, please reach out to us via our Slack #geospatial-tech-and-innovation. From 769d4a961e61233771f8a0941d90c8f6747f8eb5 Mon Sep 17 00:00:00 2001 From: Neelima Mohanty <97789856+neelimagoogly@users.noreply.github.com> Date: Mon, 17 Jul 2023 18:08:25 +0530 Subject: [PATCH 4/9] Update README.md --- frontend/README.md | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/frontend/README.md b/frontend/README.md index b49e3bab..e03099e9 100644 --- a/frontend/README.md +++ b/frontend/README.md @@ -1,3 +1,5 @@ +# Frontend Deployment for Development + ![example workflow](https://github.com/omranlm/TDB/actions/workflows/frontend_build.yml/badge.svg) ## Getting Started @@ -11,10 +13,10 @@ This project is tested with Node v14.17.3 and Node v16.14.2 ### Create .env file inside root dir -Put your credentials inside .env by following .env [sample](https://github.com/omranlm/TDB/blob/main/frontend/.env%20sample) +Put your credentials inside .env by following .env [sample](https://github.com/omranlm/TDB/blob/main/frontend/.env%20sample) . ### Start development server `npm start` -#### Note : Build and Run Backend First before building frontend +#### Note : Build and Run Backend first by following [this](https://github.com/hotosm/fAIr/blob/master/backend/README.md) before building frontend . 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UnMEaon*f@7o#d>0 zO178#3+Z?QpI7;-2BOsqnS^P-EoU?KGW9}OF@GV{KyG{zS$m*wR7l>NYKw5dVS0Oo za^dEx8Y;EW>5l@9EjE|m2zf7{D=PXLi5ZueG&H>9?N3#fD;hXhV6g{7=Qz|W*5dCq zW&ghWnrNlv?c)#<9CW?VcTLPH(jla{)ZaI{v=5g`oSmEa!F!-{(Q6r%h*{Zs!YX1N z0Vo@)EsQ0;=w^;C<-mk~ZcF?+xrl2ZUV&f>p?!mpXiX<432H20hx69DZc;%(oVyc5 ztJq;tYY=bm6H35iX)zWk^ZXD4;5Y30hAt^5kfdmZeeP(tDd26${nfeCJ_5+t%joho zT{mkreyKLm=+bq2>jF9DSycI&fm>BU1Cesyn_Rtw3Pt`RS_w@DZsTVPpnWxoI4pEN zM7@EynLtXraDscit!15**`Fq;^40lh?YlNSXwM-PSHGBv!Vdd1m32{kX>=**k4Ugx zYk6fS?ym-lf6)K;wCm%*+4XNRv^_iHf7m_t)UZ21A5Z=}6T^R@h+BHr1%e`7R<4vi?M=*7P@EcKWk;z~_Tm64TeZj4yH zb2lrhzxCsvjj?16i_s1W4tiU9$^EJ3Nj9dt6pEEy@YrQNHQ~M18_5C3*Ox}O!)HU( zVM~jPDgC=&PWt%xW=0u7Tm5*0|6^xD6Z*#q_UTaL#w)gUT z_h*C~=fQa$uQC!g`xps!j0F3CP9QSAi0J?9-{+G1)*~%Men3VVc#i*ZDW&foz*mss U)x%?OpaM)6bxqC}opX%)7uwVN`2YX_ literal 0 HcmV?d00001 From 1233a6aa87a59fb26d2cd6dd68513b4232faccc0 Mon Sep 17 00:00:00 2001 From: Neelima Mohanty <97789856+neelimagoogly@users.noreply.github.com> Date: Fri, 28 Jul 2023 08:49:23 +0530 Subject: [PATCH 7/9] FAQ.md --- docs/FAQ.md | 74 +++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 74 insertions(+) create mode 100644 docs/FAQ.md diff --git a/docs/FAQ.md b/docs/FAQ.md new file mode 100644 index 00000000..e4bfea66 --- /dev/null +++ b/docs/FAQ.md @@ -0,0 +1,74 @@ +# Frequently Asked Questions (FAQs) + +## Users +**Q : What is fAIr?** + +A : fAIr is an open-source toolkit developed by the Humanitarian OpenStreetMap Team (HOT) that enables the integration of artificial intelligence (AI) into humanitarian mapping workflows. It provides AI models and tools to automate mapping tasks, improving efficiency and accuracy. + +
+ +**Q : How can I use fAIr in my mapping projects?** + +A : Building for now but to use fAIr, you can follow the installation instructions provided in the documentation. Once installed, you can utilize the pre-trained AI models for tasks such as road network extraction, building footprint detection, or land use classification. The documentation offers examples and guidelines to help you get started. + +
+ +**Q : What types of data can I use with fAIr?** + +A : fAIr primarily works with satellite imagery and aerial photographs. You can use various types of imagery sources which compiles with opensource imagery license to perform mapping tasks using the AI models provided. The documentation provides information on the compatible data formats and recommended data sources. + +
+ +**Q : Can I customize the AI models in fAIr for my specific needs?** + +A : Yes, fAIr is designed to be customizable. The toolkit provides instructions and guidelines on how to train and fine-tune models with your own datasets. This allows you to adapt the models to suit your specific mapping requirements and improve their performance on your target areas or features of interest. + +
+ +**Q : Are there any limitations to using fAIr?** + +A : While fAIr offers powerful AI models, it's important to note that the accuracy of the results may vary depending on the quality and resolution of the input imagery and the complexity of the mapping task. Some tasks may require additional manual editing or validation. It's recommended to review the documentation and understand the limitations of each model before use. + +
+ +**Q : How can I contribute feedback or report issues with fAIr?** + +A : You can contribute to the improvement of fAIr by providing feedback, reporting issues, or suggesting new features through the project's GitHub repository. By creating an issue, you can share your observations or difficulties faced while using fAIr, allowing the developers to address them and enhance the toolkit. + +
+ +**Q : Can I integrate fAIr with other mapping tools or platforms?** + +A : Yes, fAIr is designed to be modular and can be integrated into existing mapping workflows and platforms. It provides modular pip packages/ API endpoints that can be used in other scripts and can be integrated as plugins on different platforms such as Qgis, Josm etc. You can leverage the AI models from fAIr within these tools or use the outputs of fAIr in combination with other mapping datasets and tools. + +
+ +## Developers + +**Q : How can I contribute to the development of fAIr?** + +A : You can contribute to fAIr's development by following the guidelines provided in the project's GitHub repository. You can contribute code, suggest new features, or help improve documentation. By submitting pull requests, you can propose changes and collaborate with the project maintainers and the community. + +
+ +**Q : What programming languages and frameworks are used in fAIr?** + +A : fAIr frontend is made with React and backend with Django.fAIr is primarily developed using Python, which is widely used in machine learning and AI. It leverages popular framework TensorFlow for model development and training. Familiarity with Python and these frameworks will be beneficial if you plan to work on fAIr's development. + +
+ +**Q : Are there any specific coding standards or guidelines for contributing to fAIr?** + +A : Yes, fAIr follows coding standards and guidelines outlined in the project's repository. These guidelines cover aspects such as code formatting, documentation, and testing. Adhering to these standards helps maintain code consistency and facilitates collaboration among contributors. + +
+ +**Q : Can I propose new AI models or enhancements to existing models?** + +A : Absolutely! The fAIr project welcomes contributions related to new AI models or enhancements to existing models. If you have developed a new model that aligns with the project's goals or if you have ideas to improve the current models, you can propose them through the GitHub repository at [fAIr-utilities](https://github.com/hotosm/fAIr-utilities) and engage in discussions with the community . Once approved community will be able go use it . + +
+ +**Q : What kind of support can I expect as a developer contributing to fAIr?** + +A : As a developer contributing to fAIr, you can receive support and guidance from the project maintainers and the community. The maintainers can help address technical questions, review your contributions, and provide feedback. The community also offers a collaborative environment where you can interact with other contributors and share knowledge. From 9db56518f1cce40d8c2d9c4c42e3abee9ce2eff9 Mon Sep 17 00:00:00 2001 From: Neelima Mohanty <97789856+neelimagoogly@users.noreply.github.com> Date: Fri, 28 Jul 2023 08:56:50 +0530 Subject: [PATCH 8/9] Updated Readme.md --- Readme.md | 26 ++++++++++++++++++++++++++ 1 file changed, 26 insertions(+) diff --git a/Readme.md b/Readme.md index a8c6db0c..93dfe360 100644 --- a/Readme.md +++ b/Readme.md @@ -25,3 +25,29 @@ To eliminate model biases, fAIr is built to work with the local communities and See below a suggested product roadmap [subject to change] that provides high-level overview for planned work. ![image](https://user-images.githubusercontent.com/98902727/218769416-b3c71d3b-7c20-4d40-ab1e-88442d06445d.png) +# General Workflow of fAIr + +![fAIr1](https://github.com/hotosm/fAIr/assets/97789856/01c0e3b6-a00c-439d-a2ed-1c14b62e6364) + +1. Project Area by tha project manager and imagery from Open Areal Map is submitted to the task manager which then is sent to Open Street Map after undergoing the process of manual mapping and validation. +2. Local dataset(created using the imagery and raw API data as inputs) is trained and local model is created and trained. +3. It is then validated , published , mapped and pushed back into Open Street Map. +4. Finally according to the feedback , the published model is sent for improvement and training . +
+ +# fAIr Architecture +![fAIr2](https://github.com/hotosm/fAIr/assets/97789856/63394f65-ce0d-4a3d-8683-7455f14fb366) + +1. Third party extensions are sent to fAIr backend which then generates data for OSM raw data API , osmconflator and geoson2osm xml . +2. Data from fAIr backend is sent to fAIr utilities . The backend is using s separate library we call it fAIr-utilities to handle: + + 1. Data preparation for the models + 2. models trainings + 3. inference process + 4. post processing (converting the predicted features to geo data) +3. The public API is then sent to the fAIr frontend. + + + + + From a530a011640cf1dda243275a33a20650128e33fb Mon Sep 17 00:00:00 2001 From: kshitijrajsharma Date: Thu, 3 Aug 2023 15:03:18 +0545 Subject: [PATCH 9/9] Updates on text and Merge Master --- Readme.md | 21 ++++++++++----------- 1 file changed, 10 insertions(+), 11 deletions(-) diff --git a/Readme.md b/Readme.md index 93dfe360..b3d58fd6 100644 --- a/Readme.md +++ b/Readme.md @@ -29,25 +29,24 @@ See below a suggested product roadmap [subject to change] that provides high-lev ![fAIr1](https://github.com/hotosm/fAIr/assets/97789856/01c0e3b6-a00c-439d-a2ed-1c14b62e6364) -1. Project Area by tha project manager and imagery from Open Areal Map is submitted to the task manager which then is sent to Open Street Map after undergoing the process of manual mapping and validation. -2. Local dataset(created using the imagery and raw API data as inputs) is trained and local model is created and trained. -3. It is then validated , published , mapped and pushed back into Open Street Map. -4. Finally according to the feedback , the published model is sent for improvement and training . +1. First We expect there should be a fully mapped and validated task in project Area where model will be trained on +2. fAIr uses OSM features as labels which are fetched from [Raw Data API] (https://github.com/hotosm/raw-data-api) and Tiles from OpenAerialMap (https://map.openaerialmap.org/) +4. Once data is ready fAIr supports creation of local model with the input area provided , Publishes model for that area which can be implemented on the rest of the similar area +5. Feedback is important aspect , If mappers is not satisfied with the prediction that fAIr is making they can submit their feedback and community manager can apply feedback to model so that model will learn
# fAIr Architecture ![fAIr2](https://github.com/hotosm/fAIr/assets/97789856/63394f65-ce0d-4a3d-8683-7455f14fb366) -1. Third party extensions are sent to fAIr backend which then generates data for OSM raw data API , osmconflator and geoson2osm xml . -2. Data from fAIr backend is sent to fAIr utilities . The backend is using s separate library we call it fAIr-utilities to handle: + The backend is using library we call it [fAIr utilities](https://github.com/hotosm/fAIr-utilities) to handle: 1. Data preparation for the models - 2. models trainings - 3. inference process - 4. post processing (converting the predicted features to geo data) -3. The public API is then sent to the fAIr frontend. - + 2. Models trainings + 3. Inference process + 4. Post processing (converting the predicted features to geo data) +## Local Installation [DEV] +Checkout Docker Installation [docs](./docs/Docker-installation.md)

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