Create Readme.md

Author: ShreyasSN

Algorithms and Deep Learning Models/Frontal Face Generator/Readme.md

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+# Front Face Generator using Pix2Pix
+
+This project is a front-face image generation tool using the Pix2Pix model, a conditional GAN (Generative Adversarial Network). It enables frontal face generation by taking side or angled face images as inputs.
+
+## Steps
+
+1. **Select Experiment Type**  
+   Choose the type of experiment to tailor inference parameters accordingly.
+
+2. **Define Inference Parameters**  
+   Set key parameters such as image dimensions, batch size, and learning rate to optimize the inference process.
+
+3. **Load Model**  
+   Load the pre-trained Pix2Pix model for frontal face generation.
+
+4. **Align Image**  
+   Preprocess input images to ensure they are correctly aligned for frontal face transformation.
+
+5. **Visualize Input**  
+   Display the input image before performing inference, ensuring the image aligns with requirements.
+
+6. **Perform Inference**  
+   Run the inference process to generate the frontal face image from the input image.
+
+7. **Visualize Result**  
+   Display the final output, showing the generated frontal face for evaluation and analysis.
+
+   ![image](https://github.com/user-attachments/assets/a19f2377-968c-4dfd-b4fe-38c17b09a307)
+
+
+## Requirements
+
+- Python 3.x
+- TensorFlow or PyTorch
+- OpenCV for image processing
+- Other dependencies as specified in `notebook`
+
+This project demonstrates the capabilities of Pix2Pix in transforming side-angle face images into realistic frontal face images.