Update README.md

README.md

@@ -1,30 +1,32 @@
----
-license: openrail
-language:
-- en
----
+# IMageDucHaiten
 
-# **IMageDucHaiten**
+**Version:** `V1.1.1`
 
-*Version:* `V1.1.1`
-
-## **Table of Contents**
+## Table of Contents
 
 - [Introduction](#introduction)
+- [Key Features](#key-features)
 - [Installation](#installation)
+  - [Option 1: Full Package Installation via Direct Download](#option-1-full-package-installation-via-direct-download)
+  - [Option 2: Full Package Installation via Git Clone](#option-2-full-package-installation-via-git-clone)
+  - [Option 3: Manual Installation by Downloading Individual Files](#option-3-manual-installation-by-downloading-individual-files)
 - [Usage](#usage)
+  - [Running the Application via Command Line (CMD)](#running-the-application-via-command-line-cmd)
+  - [Running the Application via Visual Studio Code](#running-the-application-via-visual-studio-code)
+  - [Installing Visual Studio Code](#installing-visual-studio-code)
 - [Community and Support](#community-and-support)
+- [Support and Contributions](#support-and-contributions)
 
-## **Introduction**
+## Introduction
 
-**IMageDucHaiten** is a powerful tool, specifically designed to assist those working in artificial intelligence with the preparation of image data for training generative AI models. In version `V1.1.1`, **IMageDucHaiten** provides a suite of automated and flexible tools for processing, tagging, and captioning images, making the data preparation process more efficient and streamlined.
+**IMageDucHaiten** is a powerful tool specifically designed for AI professionals to assist in the preparation of image data for training generative AI models. Version `V1.1.1` offers a suite of automated and flexible tools for processing, tagging, and captioning images, making the data preparation process more efficient and streamlined.
 
-Whether you're an AI researcher, data engineer, or just someone who enjoys working with images, **IMageDucHaiten** can be an invaluable tool. While it excels at supporting AI data preparation, it is also accessible and beneficial to anyone looking to work with images effortlessly and effectively.
+Whether you're an AI researcher, data engineer, or someone who enjoys working with images, **IMageDucHaiten** can be an invaluable tool. It not only excels in supporting AI data preparation but is also accessible and beneficial to anyone looking to work with images effortlessly and effectively.
 
-### **Key Features**
+## Key Features
 
 - **Image Converter**: Convert image formats to match the requirements of your AI model, supporting a wide range of formats such as PNG, JPG, GIF, BMP, and more.
-- **Image Filter**: Filter and remove images that do not meet quality criteria such as size, resolution, ensuring a clean dataset for training.
+- **Image Filter**: Filter and remove images that do not meet quality criteria such as size and resolution, ensuring a clean dataset for training.
 - **Rotate & Flip**: Rotate and flip images to create various training data variations, enhancing dataset diversity.
 - **Image Error Fix**: Automatically detect and fix errors in images, reducing the risk of using incomplete data.
 - **Image To Tag**: Automatically tag images, optimizing the data labeling process for AI models.
@@ -32,28 +34,25 @@ Whether you're an AI researcher, data engineer, or just someone who enjoys worki
 - **Photo Fantasy**: Create artistic effects on images, useful for data augmentation or enhancing creative content.
 - **Shuffle Image**: Shuffle or sequence images to create a diverse dataset, suitable for analysis and modeling tasks.
 
-**IMageDucHaiten** is not only ideal for AI training data preparation but also serves as a versatile application for all your image processing needs.
-
-## **Installation**
+## Installation
 
 To install and set up **IMageDucHaiten**, you have three options:
 
-### **Option 1: Full Package Installation via Direct Download**
+### Option 1: Full Package Installation via Direct Download
 
-1. **Download the Full Package:**
+1. **Download the Full Package**:
    - Download the full package from the following link:
      [IMageDucHaiten_v1.1.1-Full.zip](https://huggingface.co/DucHaiten/IMageDucHaiten-Full/resolve/main/IMageDucHaiten_v1.1.1-Full.zip)
 
-2. **Extract the Package:**
+2. **Extract the Package**:
    - Extract the contents of the `.zip` file to your desired location.
 
-3. **Install Visual Studio Code (if not installed):**
+3. **Install Visual Studio Code (if not installed)**:
    - Download and install Visual Studio Code from [here](https://code.visualstudio.com/).
-   - After installation, open Visual Studio Code.
 
-4. **Activate the Virtual Environment:**
-   - Open the extracted folder in Visual Studio Code by selecting **File > Open Folder** and navigate to the extracted folder.
-   - Open the integrated terminal within Visual Studio Code by selecting **View > Terminal**.
+4. **Activate the Virtual Environment**:
+   - Open the extracted folder in Visual Studio Code by selecting `File > Open Folder` and navigating to the extracted folder.
+   - Open the integrated terminal within Visual Studio Code by selecting `View > Terminal`.
    - Activate the pre-configured virtual environment:
      - On **Windows**:
        ```bash
@@ -64,30 +63,33 @@ To install and set up **IMageDucHaiten**, you have three options:
        source venv/bin/activate
        ```
 
-5. **Run the Application:**
-   - After activating the virtual environment, you can start the application by running `python main.py` in the terminal.
+5. **Run the Application**:
+   - After activating the virtual environment, you can start the application by running:
+     ```bash
+     python main.py
+     ```
 
-### **Option 2: Full Package Installation via Git Clone**
+### Option 2: Full Package Installation via Git Clone
 
-1. **Install Git and Git LFS:**
-   - Make sure you have Git installed on your system. If not, download and install it from [Git's official site](https://git-scm.com/downloads).
-   - Install Git LFS (Large File Storage) by running the following command:
+1. **Install Git and Git LFS**:
+   - Ensure Git is installed on your system. If not, download and install it from [Git's official site](https://git-scm.com/downloads).
+   - Install Git LFS (Large File Storage) by running:
      ```bash
      git lfs install
      ```
 
-2. **Clone the Repository:**
+2. **Clone the Repository**:
    - Use Git to clone the repository with all necessary files:
      ```bash
      git clone https://huggingface.co/DucHaiten/IMageDucHaiten
      ```
 
-3. **Open the Project in Visual Studio Code:**
+3. **Open the Project in Visual Studio Code**:
    - If you haven't installed Visual Studio Code, download and install it from [here](https://code.visualstudio.com/).
-   - Open Visual Studio Code, then select **File > Open Folder** and navigate to the cloned folder.
+   - Open Visual Studio Code, then select `File > Open Folder` and navigate to the cloned folder.
 
-4. **Activate the Virtual Environment:**
-   - Open the integrated terminal by selecting **View > Terminal**.
+4. **Activate the Virtual Environment**:
+   - Open the integrated terminal by selecting `View > Terminal`.
    - Activate the virtual environment:
      - On **Windows**:
        ```bash
@@ -98,15 +100,18 @@ To install and set up **IMageDucHaiten**, you have three options:
        source venv/bin/activate
        ```
 
-5. **Run the Application:**
-   - Start the application by running `python main.py` in the terminal.
+5. **Run the Application**:
+   - Start the application by running:
+     ```bash
+     python main.py
+     ```
 
-### **Option 3: Manual Installation by Downloading Individual Files**
+### Option 3: Manual Installation by Downloading Individual Files
 
-1. **Download the Files Manually:**
+1. **Download the Files Manually**:
    - Download individual files and directories from the repository as needed.
 
-2. **Set up a Virtual Environment:**
+2. **Set up a Virtual Environment**:
    - Create and activate a virtual environment:
      - On **Windows**:
        ```bash
@@ -119,7 +124,7 @@ To install and set up **IMageDucHaiten**, you have three options:
        source venv/bin/activate
        ```
 
-3. **Install Python Dependencies:**
+3. **Install Python Dependencies**:
    - Install the required Python packages using `requirements.txt`:
      ```bash
      pip install -r requirements.txt
@@ -128,21 +133,24 @@ To install and set up **IMageDucHaiten**, you have three options:
 4. **Install External Dependencies** (Ghostscript, ImageMagick, Visual C++ Redistributable):
    - Follow the instructions provided earlier to ensure all dependencies are properly installed.
 
-5. **Open the Project in Visual Studio Code:**
+5. **Open the Project in Visual Studio Code**:
    - If you haven't installed Visual Studio Code, download and install it from [here](https://code.visualstudio.com/).
-   - Open Visual Studio Code, then select **File > Open Folder** and navigate to the project folder.
+   - Open Visual Studio Code, then select `File > Open Folder` and navigate to the project folder.
 
-6. **Run the Application:**
-   - Open the integrated terminal by selecting **View > Terminal**.
-   - Activate the virtual environment, then start the application by running `python main.py` in the terminal.
+6. **Run the Application**:
+   - Open the integrated terminal by selecting `View > Terminal`.
+   - Activate the virtual environment, then start the application by running:
+     ```bash
+     python main.py
+     ```
 
-## **Usage**
+## Usage
 
-After completing the installation, you can run **IMageDucHaiten** using Visual Studio Code as follows:
+After completing the installation, you can run **IMageDucHaiten** as follows:
 
-### **1. Running the Application via Command Line (CMD)**
+### Running the Application via Command Line (CMD)
 
-1. **Activate the Virtual Environment:**
+1. **Activate the Virtual Environment**:
    - On **Windows**:
      ```bash
      .\venv\Scripts\activate
@@ -152,21 +160,21 @@ After completing the installation, you can run **IMageDucHaiten** using Visual S
      source venv/bin/activate
      ```
 
-2. **Run the Application:**
+2. **Run the Application**:
    - In the terminal, navigate to the folder where `main.py` is located.
    - Execute the following command to start the application:
      ```bash
      python main.py
      ```
 
-### **2. Running the Application via Visual Studio Code**
+### Running the Application via Visual Studio Code
 
-1. **Open the Project in Visual Studio Code:**
+1. **Open the Project in Visual Studio Code**:
    - Launch Visual Studio Code.
-   - Open the project folder by selecting **File > Open Folder** and navigating to the folder where `main.py` is located.
+   - Open the project folder by selecting `File > Open Folder` and navigating to the folder where `main.py` is located.
 
-2. **Activate the Virtual Environment:**
-   - Open the integrated terminal within Visual Studio Code by selecting **View > Terminal**.
+2. **Activate the Virtual Environment**:
+   - Open the integrated terminal within Visual Studio Code by selecting `View > Terminal`.
    - Activate the virtual environment:
      - On **Windows**:
        ```bash
@@ -177,50 +185,36 @@ After completing the installation, you can run **IMageDucHaiten** using Visual S
        source venv/bin/activate
        ```
 
-3. **Run the Application:**
+3. **Run the Application**:
    - In the terminal, start the application by running:
      ```bash
      python main.py
      ```
-
    - Alternatively, you can press **F5** to run the application with debugging.
 
-### **Installing Visual Studio Code**
+### Installing Visual Studio Code
 
 If you don't have Visual Studio Code installed, follow these steps:
 
-1. **Download Visual Studio Code:**
+1. **Download Visual Studio Code**:
    - Go to [Visual Studio Code's official site](https://code.visualstudio.com/).
    - Download the appropriate version for your operating system.
 
-2. **Install Visual Studio Code:**
+2. **Install Visual Studio Code**:
    - Run the installer and follow the on-screen instructions to complete the installation.
 
-3. **Install the Python Extension:**
+3. **Install the Python Extension**:
    - Open Visual Studio Code and go to the **Extensions** view by clicking on the square icon in the sidebar or pressing `Ctrl+Shift+X`.
    - Search for "Python" and install the extension provided by Microsoft.
 
-After installing Visual Studio Code and the Python extension, you can follow the instructions above to run your application.
-
-![Screenshot_1.png](https://cdn-uploads.huggingface.co/production/uploads/630b58b279d18d5e53e3a5a9/Lfy93t29PfhazAAm9PzEi.png)
-![Screenshot_2.png](https://cdn-uploads.huggingface.co/production/uploads/630b58b279d18d5e53e3a5a9/-YdFtf3_-hCsjykh7XkDX.png)
-![Screenshot_3.png](https://cdn-uploads.huggingface.co/production/uploads/630b58b279d18d5e53e3a5a9/BLqDam81vkPpvWTKs9d42.png)
-![Screenshot_4.png](https://cdn-uploads.huggingface.co/production/uploads/630b58b279d18d5e53e3a5a9/cdhsBMhFMYzuEtNj2z4Tw.png)
-![Screenshot_5.png](https://cdn-uploads.huggingface.co/production/uploads/630b58b279d18d5e53e3a5a9/vtUoLEHhR5k5SIWwxEQDt.png)
-![Screenshot_6.png](https://cdn-uploads.huggingface.co/production/uploads/630b58b279d18d5e53e3a5a9/MEl_THxy-7IVjvLOtUa8P.png)
-![Screenshot_7.png](https://cdn-uploads.huggingface.co/production/uploads/630b58b279d18d5e53e3a5a9/ztbJOamnGoXVi49bJ0hqR.png)
-![Screenshot_8.png](https://cdn-uploads.huggingface.co/production/uploads/630b58b279d18d5e53e3a5a9/qw3osuCswU_8UaLqrshHY.png)
-![Screenshot_9.png](https://cdn-uploads.huggingface.co/production/uploads/630b58b279d18d5e53e3a5a9/fI-8nFHyWx3uGlss2bnpC.png)
-![Screenshot_10.png](https://cdn-uploads.huggingface.co/production/uploads/630b58b279d18d5e53e3a5a9/3L644SpuP6lFj821PoViM.png)
-
-## **Community and Support**
+## Community and Support
 
 Join our community to stay updated, share your experiences, and get support from other users:
 
 - **Discord Server**: Join our Discord community for discussions, support, and updates.
   - [Join Discord](https://discord.gg/vKEW6jqa49)
 
-## **Support and Contributions**
+## Support and Contributions
 
 If you find **IMageDucHaiten** useful and would like to support the project, consider making a donation or becoming a patron. Your contributions help in maintaining and improving the project: