Synthesize Super Resolution Image by Experts Mining

Introduction

We build a module that synthesizes super-resolution images by 4x upscaling. While preparing, we utilize the pretrained model SeemoRe provided by eduardzamfir at HuggingFace. The demo is accessible at the HuggingFace space.

Setting Up the Environment

Using Conda (recommended)

1. Install Conda, if not already installed.
2. Clone the repository:

   git clone https://github.com/byrkbrk/synthesizing-super-resolution-by-experts.git
   

3. Change the directory:

   cd synthesizing-super-resolution-by-experts
   

4. Create the environment:

   conda env create -f synthesizing-sr-by-experts.yaml
   

5. Activate the environment:

   conda activate synthesizing-sr-by-experts
   

Using Pip

1. Download & install Python (version==3.11)
2. Clone the repository:

   git clone https://github.com/byrkbrk/synthesizing-super-resolution-by-experts.git
   

3. Change the directory:

   cd synthesizing-super-resolution-by-experts
   

4. Install packages using pip:

   pip install -r requirements.txt
   

Synthesizing SR Image

Check it out how to use:

python3 synthesize.py --help

Output:

Synthesize (4x upscaled) super-resolution images by SeemoRe

positional arguments:
  image_name            Name of the image that be upscaled. Note image that be
                        processed must be in `low-res-images` directory

options:
  -h, --help            show this help message and exit
  --device {cuda,mps,cpu}
                        Name of the GPU device that be used during inference.
                        Default: None

Example usages

Execute the followings to obtain super-resolved images:

python3 synthesize.py building.png

python3 synthesize.py plant.png

The output images seen below (left: Original, right: Super-resolved) will be saved into ./synthesized-images folder.

Synthesizing by using Gradio

To run the gradio app on your local computer, execute:

python3 app.py

Then, visit the url http://127.0.0.1:7860 to open the interface.

Example usage

See the display below for an example usage of the module via Gradio.