viseval 0.0.2.2

Visualization tool for your evaluation folder

Vis-eval: Visualization tool for your evaluation folder

Installation:

pip install viseval

Usage:

viseval.visualize_helper takes in a list of dicts. Every element in the list indicates a row in the HTML visualization. Each dict should contain column-name: image-path.

from viseval import visualize_helper

eval_dir = Path("eval_results")
gt_img_paths = []
pred_img_paths = []

# Add your standard model evaluation code here:
# - Save gt and predicted images inside eval_dir
# - Add corresponding img paths in gt_img_paths and pred_img_paths list

# Save html visualizations
visualization_rows = [
    {"gt": gt_img_path, "pred": pred_img_path}
    for gt_img_path, pred_img_path in zip(gt_img_paths, pred_img_paths)
]
html_path = visualize_helper(visualization_rows, eval_dir)
print(html_path)

To visualize the generated html file, use either of the following method:

• Open the html file in a browser
• Run a simple python http server from inside the evaluation directory and open localhost:8000 url:

python -m http.server

Acknowledgement:

This idea and the repository is built on a tool I used in Professor Shuran's lab. The initial code is written via Zhenjia Xu.