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Landmark Detection from images #906
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Our team will soon review your PR. Thanks @yashksaini-coder :) |
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- Project folder name should be
Landmark Detection
with no hyphen "-". - Follow the project structure and put the files according to that.
- If you are implementing an UI for the users, follow this project structure, this will help you out in keeping files.
Project Folder
|- Dataset
|- dataset.csv (dataset used for the particula project)
|- README.md (brief about the dataset)
|- Images
|- img1.png
|- img2.png
|- img3.png
|- Model
|- project_folder.ipynb
|- README.md
|- Web App
|- templates
|- static
|- app.py
|- demo.mp4
|- README.md
|- requirements.txt
Hi @abhisheks008 I have restructured the entire Review the PR & add labels to it. |
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Please create a demonstration video of the working of the UI and attach the same in the Web App/README.md file.
For your reference you can check this project, https://github.com/abhisheks008/DL-Simplified/tree/main/Brain%20Tumor%20Detection/Web%20App
Hi @abhisheks008 here's the demo video of Landmark Detection Landmark.detection.mp4 |
@abhisheks008 can you review this PR, add proper labels too. |
@abhisheks008 what's the status of the review. |
@yashksaini-coder please follow the project structure properly. Do not put files apart from the designated folder. Model/README.md template: https://github.com/abhisheks008/DL-Simplified/blob/main/.github/readme_template.md |
Pull Request for DL-Simplified 💡
Issue Title : Landmark Detection Project
JWOC Participant
) GSSOC-extCloses: #898
Describe the add-ons or changes you've made 📃
This pull request introduces a new feature for landmark detection and includes the necessary setup for a Streamlit web application. The most important changes involve adding a new README file, implementing the main application logic in
app.py
, and updating the requirements.New feature implementation:
Landmark-Detection/app.py
: Added the main application logic for the Landmark Detection web app, including model loading, image classification, and Streamlit UI components.Documentation:
Landmark-Detection/README.md
: Added a new README file with a brief description of the Landmark Detection feature.Dependencies:
Landmark-Detection/requirements.txt
: Added required dependencies for the Streamlit app and TensorFlow model.Type of change ☑️
What sort of change have you made:
Checklist: ☑️
@abhisheks008 can you review this PR and add labels to it.