Overview

The time and space performance of different image encoding formats is measured to support image transmission.

Repository:

https://github.com/UWARG/profile-encode

Software

Setup

Follow the instructions to clone the repository and activate the environment: Autonomy Workflow Software

Install packages:

pip install -r requirements.txt

Download and extract the test dataset:

1. In the repository root, create a new directory: test_images

2. Open the WARG OneDrive: Autonomy OneDrive

3. Download: Encode Test Dataset 2024

4. Extract the contents so that the images are in test_images/Encode Test Dataset 2024 (e.g. test_images/Encode Test Dataset 2024/0.png )

Usage

Activate the environment: Autonomy Workflow Software

Run any of the benchmarks:

python -m avif_benchmark
python -m heif_benchmark
python -m png_benchmark

Each benchmark takes ~1 hour to complete on the WARG desktop.

Record the results:

• Upload the results to OneDrive under: Encode Test Results 2024

• Observe the example image output and write observations: Formats

Hardware

Performance is to be measured on the hardware running image transmission.

Raspberry Pi: Raspberry Pi