README.md

GloriosaAI

Scripts:

• main.py: The selection menu for GloriosaAI

/scripts/

• trainer.py: Runs GloriosaAI trainer
• modelout.py: Output images from trained models with GloriosaAI
• video_encoder.py: Encode a video using GloriosaAI
• image-processor.py: Prepare images for GloriosaAI
• preprocessor_data.py: Dependency for GloriosaAI
• install_dependencies.py: Install dependencies

Prerequisite Folders:

Trainer

• training_data/class

Video Encoder

• output/video_frames (Also created by the Trainer)

ModelOut

• input/input_models (Copy the architecture and weights of both the discriminator and generator.)

Image-Processor

• unprocessed_images

trainer.py Hyperparameters:

• Epochs:

  • Controls the number of training iterations.

• Batch Size:

  • Determines the number of data samples processed in each training step.

• Latent Dimension:

  • Defines the size of the latent space in the generative model.

• Generation Interval:

  • Sets how often generated images are saved during training.

• Learning Rate:

  • Governs the step size during gradient descent optimization.

• Use Learning Rate Scheduler:

  • Specifies whether to use a learning rate scheduler during training.

• Random Seed:

  • Seeds the random number generator for reproducibility.

Prerequisites:

• TensorFlow 2.14.0
• Numpy 1.26.2
• Matplotlib 3.8.2
• Pillow 10.1.0
• OpenCV-Python 4.8.1.78
• Flask==2.1.1

Compiler:

• PyInstaller

Optional:

• A dataset of images for training (128 x 128 resolution, RGB format)

GloriosaAI - Art Showcase

How to Run:

pip install -r requirements.txt

pip install opencv-contrib-python

For GPU

nvidia-smi
pip install --upgrade pip
pip install --extra-index-url https://pypi.nvidia.com tensorrt-bindings==8.6.1 tensorrt-libs==8.6.1
pip install -U tensorflow[and-cuda]

For CPU

pip install tensorflow

Additional Packages

pip install numpy
pip install matplotlib
pip install Pillow
pip install opencv-python
pip install pyinstaller
pip install flask

python main.py

To make the setup script executable, run the following command in your terminal:

chmod +x setup.sh

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