pip install viseval
viseval.Table
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 Table
eval_dir = Path("eval_results")
# Vis data is a list of dictionaries.
# - Each element in the list corresponds to a row in the table.
# - Each key:value pair in a dictionary represents column-name: column-data.
vis_data = []
vis_data.append({
"gt_img": eval_results / "0_gt.png",
"pred_img": eval_results / "0_gt.png",
"gt_mesh": eval_results / "0_gt_mesh.obj",
"pred_mesh": eval_results / "0_pred_mesh.obj",
"gt_label": "0_gt_label",
"pred_label": "0_gt_label",
})
# Populate vis data with the image / mesh path, text data in your eval folder.
# Once populated, save visualization table as html file
table = Table.from_list_dict(vis_data, eval_dir)
html_path = table.generate()
For demo, you can run python examples/demo.py
. To visualize the generated html file, run a simple python -m http.server
from inside the evaluation directory and open localhost:8000 url in any web browser:
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.