VisioCraft is an innovative image and video processing web application designed to elevate your visual content. With state-of-the-art technology and a user-friendly interface, VisioCraft offers a seamless experience in enhancing and analyzing images and videos.
- Data source: Videos from various sources, including YouTube, Pexels, and more. data can be also uploaded from the local machine.
- Image Mode: Upload an image and explore a variety of image processing filters, including Grayscale conversion, Histogram Equalization, Gaussian Blur, and many more.
- Video Mode: Analyze videos with the ability to stop processing at any time.
- Webcam Mode: Experience real-time emotion and gender analysis using your webcam.
- Metrics and Insights: Dive into detailed metrics that provide valuable insights into the analyzed content.
- Filters and Enhancements: Choose from a diverse set of filters, including Laplacian, Sobel, Sharpen, Enhance RGB quality, Remove Blur effect, Median filter, and more.
- Saving processed content: Save processed images and videos to HDFS.
- Clean dashboard: Show the details of the processed content and the metrics of the processed content.
- Modern UI: A sleek and intuitive user interface that makes image and video processing a breeze.
Dive into detailed metrics that provide valuable insights into the analyzed content. Track the number of men, women, and overall student satisfaction based on facial expressions and gender detection.
Choose from a diverse set of filters, including Laplacian, Sobel, Sharpen, Enhance RGB quality, Remove Blur effect, Median filter, and more. Customize your image processing experience by selecting and combining filters.
The VisioCraft application was developed by a team of future data scientists and software engineers. Meet the team behind the app 😃:
| Name | GitHub Profile |
|---|---|
| LAGHJAJ Abdellatif | GitHub - Laghjaj Abdellatif |
| ADARDOUR Naima | GitHub - Adardour Naima |
| BOUCHHAR Maryam | GitHub - Bouchhar Maryam |
We are a team passionate about leveraging cutting-edge technologies to create intuitive and impactful applications. Our goal is to make advanced image and video processing accessible to everyone, whether you're an enthusiast or a professional.
Feel free to explore, experiment, and enjoy the visual transformations powered by our app. Thank you for being a part of this exciting journey!
- Clone the repository:
git clone https://github.com/abdellatif-laghjaj/big-data-project
cd project- Install the required dependencies:
pip install -r requirements.txtstreamlit run app.py --server.runOnSave trueContributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.