Image Captioning and Object Detection Deep Learning Models Deployed on Flask Server

Setup

1. Clone repo

2. Move files 'keras_model.h5' to project folder and 'captions_train2014.json' 'captions_train2014.json' to data/coco/annotations

3. Move "yolo.h5" file to data folder

4. Create virtual enviornment named "venv": virtualenv venv

5. Activate virtual enviornment for windows: venv\Scripts\activate.bat for linux/macOS: source venv/bin/activate

6. Install project dependencies: pip install -r requirements.txt

7. Run flask server: python app.py