Metadata-Version: 2.1
Name: BackgroundVellore
Version: 1.0.1
Summary: Predict the Genre for each 10-second interval of the video.
Home-page: https://github.com/GDGVIT/background-score-prediction
Author: Chanakya Vivek Kapoor
Author-email: chanakyavkapoor@gmail.com
License: MIT
Download-URL: https://github.com/chanakya1310/BSPPypi/archive/1.0.0.tar.gz
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.6, <=3.9
Description-Content-Type: text/markdown
Requires-Dist: absl-py (==0.11.0)
Requires-Dist: altgraph (==0.17)
Requires-Dist: astor (==0.8.1)
Requires-Dist: astunparse (==1.6.3)
Requires-Dist: cachetools (==4.1.1)
Requires-Dist: certifi (==2020.6.20)
Requires-Dist: chardet (==3.0.4)
Requires-Dist: cycler (==0.10.0)
Requires-Dist: fbs (==0.9.0)
Requires-Dist: future (==0.18.2)
Requires-Dist: gast (==0.3.3)
Requires-Dist: setuptools (==41.0.0)
Requires-Dist: google-auth (==1.21.1)
Requires-Dist: google-auth-oauthlib (==0.4.1)
Requires-Dist: google-pasta (==0.2.0)
Requires-Dist: grpcio (==1.31.0)
Requires-Dist: h5py (==2.10.0)
Requires-Dist: idna (==2.10)
Requires-Dist: importlib-metadata (==1.7.0)
Requires-Dist: imutils (==0.5.3)
Requires-Dist: joblib (==0.17.0)
Requires-Dist: Keras (==2.4.3)
Requires-Dist: Keras-Applications (==1.0.8)
Requires-Dist: Keras-Preprocessing (==1.1.2)
Requires-Dist: kiwisolver (==1.2.0)
Requires-Dist: numpy (==1.18.5)
Requires-Dist: oauthlib (==3.1.0)
Requires-Dist: opencv-python-headless (==4.4.0.46)
Requires-Dist: opt-einsum (==3.3.0)
Requires-Dist: pandas (==1.1.2)
Requires-Dist: pefile (==2019.4.18)
Requires-Dist: Pillow (==7.2.0)
Requires-Dist: protobuf (==3.14.0)
Requires-Dist: protobuf3 (==0.2.1)
Requires-Dist: pyasn1 (==0.4.8)
Requires-Dist: pyasn1-modules (==0.2.8)
Requires-Dist: PyInstaller (==3.4)
Requires-Dist: pyparsing (==2.4.7)
Requires-Dist: PyQt5 (==5.15.1)
Requires-Dist: PyQt5-sip (==12.8.1)
Requires-Dist: python-dateutil (==2.8.1)
Requires-Dist: pytz (==2020.1)
Requires-Dist: PyYAML (==5.3.1)
Requires-Dist: requests (==2.24.0)
Requires-Dist: requests-oauthlib (==1.3.0)
Requires-Dist: rsa (==4.6)
Requires-Dist: scikit-learn (==0.23.2)
Requires-Dist: scipy (==1.4.1)
Requires-Dist: six (==1.15.0)
Requires-Dist: sklearn (==0.0)
Requires-Dist: tensorboard (==2.4.0)
Requires-Dist: tensorboard-plugin-wit (==1.7.0)
Requires-Dist: tensorflow (==2.3.1)
Requires-Dist: tensorflow-estimator (==2.3.0)
Requires-Dist: termcolor (==1.1.0)
Requires-Dist: threadpoolctl (==2.1.0)
Requires-Dist: urllib3 (==1.25.10)
Requires-Dist: Werkzeug (==1.0.1)
Requires-Dist: wrapt (==1.12.1)
Requires-Dist: zipp (==3.1.0)

<p align="center">
<a href="https://dscvit.com">
	<img src="https://user-images.githubusercontent.com/30529572/92081025-fabe6f00-edb1-11ea-9169-4a8a61a5dd45.png" alt="DSC VIT"/>
</a>
	<h2 align="center"> Genre Prediction for Videos  </h2>
	<h4 align="center"> Given a video the task is to predict the Genre for each 10-second interval of the video. <h4>
</p>

---
  [![UI ](https://img.shields.io/badge/User%20Interface-Link%20to%20UI-orange?style=flat-square&logo=appveyor)](https://www.figma.com/file/0XxRAXmjlGwNHXSTdNMvO5/GenrePrediction?node-id=0%3A1)


## Functionalities
- [x]  Predict the Genre for each 10-second interval of the video.

<br>


## Instructions to run

* Pre-requisites:
	-  Python 3.6 or 3.7 or 3.8
	-  Dependencies from requirements.txt

* Using pip
  -  create a virtual environment then:
  ```bash
  pip install background
  Genre_Prediction
  ```

* Directions to Install

   - First clone this repository onto your system.<br>
   - Then, create a Virtual Environment and install the packages from requirements.txt: <br>
   - Navigate to this repository, create a Virtual Environment and activate it: <br>
   ```bash
  cd path/to/cloned/repo
  python3 -m venv env
  source env/bin/activate
  ```
  Install the python dependencies from requirements.txt:
    ```bash
    pip install requirements.txt
     ```
* Directions to Execute

    From anywhere in the project directory, run the following command in the terminal -
    ```bash
    fbs run
    ```



## Contributors

<table>
<tr align="center">


<td>

Chanakya Vivek Kapoor

<p align="center">
<img src = "https://dscvit.com/images/dsc-logo-square.svg" width="150" height="150" alt="Chanakya Vivek Kapoor">
</p>
<p align="center">
<a href = "https://github.com/chanakya1310"><img src = "http://www.iconninja.com/files/241/825/211/round-collaboration-social-github-code-circle-network-icon.svg" width="36" height = "36"/></a>
<a href = "https://www.linkedin.com/in/chanakya-vivek-kapoor-a04496167/">
<img src = "http://www.iconninja.com/files/863/607/751/network-linkedin-social-connection-circular-circle-media-icon.svg" width="36" height="36"/>
</a>
</p>
</td>


  </table>

## License
[![License](http://img.shields.io/:license-mit-blue.svg?style=flat-square)](http://badges.mit-license.org)

<p align="center">
	Made with :heart: by <a href="https://dscvit.com">DSC VIT</a>
</p>



