csl2050_courseproject's Introduction

CSL2050 CourseProject

TOPIC : Image Retrieval

Team Members:

Akshat Jain (B22CS096)
Harshiv Shah (B22CS098)
Mehta Jay Kamalkumar (B22CS034)
Jyotin Goel (B22AI063)
Rhythm Baghel (B22CS042)

Repository Structure

├── Experiments
│   ├── cifar_10_knn.ipynb
│   ├── cifar_10_pca_knn.ipynb
│   ├── cnn-resnet34-cifar10.ipynb
│   ├── cifar_10_mean.ipynb
│   ├── cifar_10_centroid.ipynb
│   ├── HOG+KNN.ipynb
│   ├── Logs
│   │   └── RESNET50_CIFAR.out
│   ├── PCA+HOG+KNN.ipynb
│   └── train.py
├── LICENSE
├── MidTerm_Report.pdf
├── Model
│   ├── CIFAR.pt
│   └── test.py
├──Gradio_Interface
│   ├── ui_gradio.py
├── Preprocessing
│   ├── cifar_eda.ipynb
│   ├── k_means.py
│   └── utils.py
└── README.md

Image Retriever Installation Guide

This guide will help you set up and install the necessary dependencies for running the project.

Installation Steps

Clone the Repository:

git clone https://github.com/gjyotin305/CSL2050_CourseProject.git

```
cd CSL2050_CourseProject
```
```
pip install -r requirements.txt
```
```
python ui_gradio.py
```

This command will start the Gradio interface and display the URL where you can access it. By default, it will run on http://127.0.0.1:7860/.

If you want to specify a custom IP address, you can change the argument of demo.launch() by inserting server_name = "YOUR_IP_ADDRESS". Alternatively, you can use share=True to generate a public link.

RiyalNet