Update README.md

README.md

@@ -17,10 +17,9 @@ This repository provides an integrated set of image-processing modules aimed at
 
 **Usage**:
 - Install the required libraries:
-  ```bash
   pip install numpy opencv-python
 
-    Steps to run the script:
+  **Steps to run the script:**
     1) specify the input_folder that has the faceimages and the output_folder to get the composite sketches
     2) python cat.py
     
@@ -31,42 +30,34 @@ Adjust gamma in the adjust_gamma() function for brightness/contrast fine-tuning.
 
 Description: A GAN-based module implemented in TensorFlow, trained specifically to restore blurred facial sketches. The module leverages a deep convolutional generator and a patch-based discriminator.
 
-Key Features:
-
-    Generator: Transforms blurred images into sharp images using a combination of convolutional, residual, and transposed convolutional layers.
-    Discriminator: Employs convolutional layers to distinguish real and synthetic sketches.
-    Loss Function: Optimized using Wasserstein loss for stability during training.
-
-Usage:
-
-    Install TensorFlow and required dependencies:
+**Key Features**:
+-    **Generator**: Transforms blurred images into sharp images using a combination of convolutional, residual, and transposed convolutional layers.
+-    **Discriminator**: Employs convolutional layers to distinguish real and synthetic sketches.
+-    **Loss Function:** Optimized using Wasserstein loss for stability during training.
 
-pip install tensorflow
+**Usage:**
+- Install TensorFlow and required dependencies:
+  pip install tensorflow
 
- **Steps to excecute:**
+ **Steps to Train:**
  1. Prepare Input data: Place the folder of clear sketches in the root directory of this project. Rename it to clear_sketches
- 2. Run the blur code to itroduce artificial blur (You can choose any blurring technique ).
+ 2. Run the blur code to introduce artificial blur (You can choose any blurring technique ).
  3. python deblurring.py
 
+ **Steps for Inference:**
+ 1. place your Blurred sketches in the folder names blurred_input (.jpg, .png )
+ 2. python deblur_inference.py
+ 3. Deblurred images are saved in a folder named deblurred_output.
+ 4. The filenames will be prefixed with deblurred_.
 
 ### **3. Image Translator Module**
 
-Description: Converts sketches into photo-realistic images using a conditional GAN (cGAN) architecture, preserving structure and enhancing realism.
-
-Usage:
-
-    Install PyTorch and necessary libraries:
-
-pip install torch torchvision
-
-Train or test the image translator model:
-
-    python image_translator.py
+Description: Converts sketches into photo-realistic images using a GAN architecture, preserving structure and enhancing realism.
 
-Requirements
+**Usage:**
+- Install TensorFlow and required dependencies:
+  pip install tensorflow
 
-    Python 3.x
-    Libraries: TensorFlow, PyTorch, NumPy, OpenCV
 
 Acknowledgments