Have you ever been in a situation where you came to your friend’s house then impressed by his / her apartment decoration. The idea is based on my experience of that and I want a smart machine learning system that can give me similar products on the internet. Moreover, it will give you a better idea by recommending home designs from others to give you a clearer view of what you want in ‘your house’.
interior-recommendation
│ README.md # Project description
│
└───app # The folder contains source code
|
└───blueprints
| |
| └───home
| |
| └───blueprints.py # Receive images from the website then generate recommendation
|
└───middlewares
| │ ...
|
└───models
| │
| |─── cropped # Data class for cropped image
| | ...
| └───products # Deserialize a row in the DataFrame
| ...
└───static # Bootstrap template
| │ ...
└───templates # HTML template folder
|
main.py # main function running flask
Clone repository to local machine
git clone git@github.com:dunglucbac/InteriorRecommendation.git
Change directory to local repository
cd InteriorRecommendation
Create python virtual environment
python3 -m venv venv # create virtualenv
source venv/bin/activate # activate virtualenv
pip install -r requirements.txt # install requirements
Run scripts
cd app/
python -m main.py
Check results
https://www.miai.vn/2019/08/09/yolo-series-2-cach-train-yolo-de-detect-cac-object-dac-thu/ https://www.miai.vn/2019/08/15/yolo-series-cach-train-yolo-tren-google-colab/ https://github.com/codingbunnie/WISH-by-NANA-FashionRecommendationEngine https://www.kaggle.com/ekaterinagasparian/train6 https://mc.ai/end-to-end-object-detection-for-furniture-using-deep-learning/