Installation instructions

1. Make sure you have uv python package and project manager installed. Instructions can be found here: text
2. Clone the current repository on your machine:

   cd ~/Desktop/
   git clone https://github.com/5TuX/tp-super-resolution.git
   cd tp-super-resolution/
   

3. Install project dependencies in a virtual environement with uv:

   uv sync
   

4. Run the script to check that GPU is available:

   uv run gpu_check.py
   

   If everything is working correctly, you should see an output like this:

       ###### CHECK PYTORCH ######
       PyTorch imported
   
       tensor([[0.6000, 0.5968, 0.2197],
               [0.1701, 0.7872, 0.1009],
               [0.8937, 0.1301, 0.9057],
               [0.5979, 0.8791, 0.6934]])
   
       CUDA available: True
   
       CUDA version: 12.6
       cuDNN version: 90501
       Number of GPUs available: 1
       -> NVIDIA GeForce RTX 4090
   

Run the notebooks

1. Convolution

uv run jupyter-lab 1_convolution.ipynb

2. Gradient descent

uv run jupyter-lab 2_gradient_descent.ipynb

3. Super resolution

uv run jupyter-lab 3_super_resolution.ipynb