Search around your own videos, navigate through scenes from image and text queries.
- Train your own videos to search
- Search Videos and Video Scene Using Image
- Search Videos and Video Scene Using Text
- Search through multiple videos
- Easily work through REST API
- Download Link: https://www.dropbox.com/s/9xmjkm8phlx64ek/vs_model.zip?dl=0
- Show and Tell Model
- Encoder-Decoder Neural Network
- Encoder - Inception v3 image recognition model pretrained on the ILSVRC-2012-CLS image classification dataset.
- Decoder - LSTM Network Trained on Captions represented with an embedding model
- Beam Search as Caption Generator
- Download Pretrained Model and extract in the models folder
- Run REST API with 'video_rest.py'
- Train your video directly from the REST API
- Example: https://localhost:5003/train/home/Downloads/RDG.webm/, Video Path is: home/Downloads/RDG.webm/, don't miss the '/'
- You can train multiple videos, data is stored in vd_data folder
- You can search scenes around multiple videos from Image or Text
- Image: https://localhost:5003/isearch/home/imgs/1346353449_eminem.jpg/, Image Path: /home/imgs/1346353449_eminem.jpg/
- Text: https://localhost:5003/tsearch/group%20people%20wine%20glass