Optimize Image Synthesis Algorithms
Budget: €30 – €250 EUR
I am seeking a skilled freelancer to run and slightly modify three algorithms using Python. The task involves working with a zip folder containing 200 images that need to be processed through a Stable Diffusion algorithm and a CycleGAN. The goal is to optimize these algorithms by adjusting parameters such as epoch size and adding bar charts to visualize key metrics like loss, accuracy, precision, recall, and FID.
** Algorithms are working and ready to be used **
Key Requirements:
- Run and modify Stable Diffusion and CycleGAN algorithms multiple times for optimization.
- Integrate charts to track and visualize metrics: accuracy, loss, precision, recall, and FID ( will be discussed )
- Generate datasets from both algorithms and subsequently process them using the YOLO-v8 algorithm.
- Integrate charts for YOLO-v8 results.
** Algorithms are working and ready to be used **
Key Requirements:
- Run and modify Stable Diffusion and CycleGAN algorithms multiple times for optimization.
- Integrate charts to track and visualize metrics: accuracy, loss, precision, recall, and FID ( will be discussed )
- Generate datasets from both algorithms and subsequently process them using the YOLO-v8 algorithm.
- Integrate charts for YOLO-v8 results.
Related categories:
Python
Software Architecture
Machine Learning (ML)
Data Visualization
Deep Learning
Stable Diffusion
YOLO
CycleGAN