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https://github.com/omarmdiab/aws-cloud-image-processing-app
https://github.com/omarmdiab/aws-cloud-image-processing-app
aws cloud-computing image-processing
Last synced: about 2 months ago
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- Host: GitHub
- URL: https://github.com/omarmdiab/aws-cloud-image-processing-app
- Owner: OmarMDiab
- Created: 2024-04-28T17:35:30.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2024-07-12T03:07:15.000Z (6 months ago)
- Last Synced: 2024-07-13T03:11:54.201Z (6 months ago)
- Topics: aws, cloud-computing, image-processing
- Language: Python
- Homepage:
- Size: 23.8 MB
- Stars: 0
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Cloud Image Processing App
The Image Processing App is a **Cloud-based** web application that allows users to upload images and apply various image processing operations. The app connects to a remote server to process the images and provides users with the ability to download the processed images.
## Sample Videos
- [GUI User Guide](https://drive.google.com/file/d/1xMva0H6TjYCj3Jngo-TJj_DvIYubBR6E/view "Streamlit APP GUI")
- [Backend Explanation](https://drive.google.com/file/d/1mlQHX3cwp0UdyVv_ogGD9HJUy2IGUoE8/view?usp=sharing "Backend Explanation")
## Features
- **Upload Multiple Images**: Users can upload multiple images in JPEG, JPG, and PNG formats.
- **Individual and Global Operations**: Users can select different image processing operations for each image or apply a single operation to all uploaded images.
- **Real-time Processing**: The app sends images to a remote server for processing and receives the processed images in real-time.
- **Download Processed Images**: Users can download individual processed images or all processed images at once.
- **GIF Feedback**: Visual feedback with GIFs is provided for actions such as connection closing and successful image processing.
## Supported Operations
The app supports the following image processing operations:
1. Edge Detection
2. Color Manipulation
3. Corner Detection
4. SIFT Feature Detection
5. Denoise Image
6. Erosion
7. Dilation
8. Histogram Equalization
## Installation
1. **Clone the repository**:
```bash
git clone https://github.com/yourusername/image-processing-app.git
cd image-processing-app
```
2. **Install dependencies**:
Make sure you have Python 3.7+ installed. Then, create a virtual environment and install the required packages:
```bash
python -m venv venv
source venv/bin/activate # On Windows, use `venv\Scripts\activate`
pip install -r requirements.txt
```
3. **Run the app**:
```bash
python app.py
```
The app will automatically open in your default web browser.
## Usage
1. **Upload Images**:
- Click on the ***"Upload Image(s)"*** button to upload one or more images.
2. **Select Operations**:
- For individual images, expand the section for each image and select an operation from the dropdown list.
- Or for applying the same operation to all images, select an operation from the sidebar under ***"Global Operations".***
4. **Process Images**:
- Click the ***"Process Image"*** button for individual images or ***"Process All Images"*** for global operations.
- The app will display the original and processed images side by side.
- If the process is (completed successfully) you are expected to see this confirmation: -
5. **Download Images**:
- After processing, you can download each processed image by clicking the ***"Download Processed Image"*** button.
- Alternatively, download all processed images at once by clicking the ***"Download All Images"*** button from the sidebar.
5. **Close Connection**:
- To close the connection to the server and logout, Click the ***"Close Connection"*** button in the sidebar.
## *Thank you*
