This project provide simple webapp which is used to count number of people within images using CNN (vgg-16) Model.
Project Banner
Home Page :-
Upload Image:-
Result:-
Crowd-Computing-Using-CNN
📋 Table of Contents 🤖 Introduction ⚙️ Tech Stack 🔋 Features 🤸 Quick Start 🕸️ Snippets 🔗 Links 🚀 More
By developing this project, you will gain hands-on experience in:
Computer Vision and Deep Learning: Preprocessing images and utilizing Convolutional Neural Networks (CNNs), specifically the VGG-16 model. Understanding transfer learning for adapting pre-trained models.
Web Development: Creating a user-friendly interface for image upload and result visualization. Implementing backend logic to process images and communicate with the CNN model.
Integration and Deployment: Integrating the VGG-16 model into the web application. Deploying the application on a server or cloud platform for accessibility.
Model Evaluation and Fine-tuning: Evaluating model accuracy and efficiency using relevant metrics. Exploring fine-tuning techniques for performance improvement.
User Experience (UX) Design: Designing an intuitive interface for seamless user interaction. Implementing user feedback features for a positive experience.
Project Management: Breaking down tasks, creating timelines, and planning the development process. Using version control systems like Git for effective collaboration and codebase management.
⚙️ Steps :-
-
Clone Project: Begin by cloning the project repository to your local environment.
-
Review Project Documentation: Explore the provided resources: PPT, Video, Report, and Poster for a comprehensive understanding.
-
Model Exploration: Import the 'model' folder into Google Colab to delve into the code. Understand the intricacies and functionalities of the VGG-16 model implemented in the project.
-
Web Application Setup: Import the 'webapplication'; a Django-based web application designed to interact with the model. Dive into the codebase to comprehend the backend logic and frontend components.
-
Bonus Step: While not on the list, consider expressing your appreciation by giving the project a star if you find it valuable or enjoyable.
🚀 More
To elevate your portfolio and open doors to enhanced opportunities, I've crafted a 3D portfolio using React and Three.js. Take a look here: https://github.com/gopal031119/3d-portfolio.