Welcome to your one-stop guide on utilizing the HTML4Vision toolkit, designed to facilitate visualization in computer vision research. This tool enriches your experience by creating interactive and aesthetically appealing tables, web-published visualizations, and 3D model presentations. Let’s dive in!

Installation

To get started with HTML4Vision, installation is as simple as running the following command in your terminal:

pip install html4vision

Table Description and Generation

One of the standout features of HTML4Vision is the capability to generate tables for comparing algorithms and visualizing pipelines. Think of it as laying out your ingredients before you bake a cake. Here’s how you can create your table:

from html4vision import Col, imagetable

# Table Description
cols = [
    Col(id1, ID), 
    Col(img, Label Map, images/road_*_label.png), 
    Col(img, Road Object Map, images/road_*_roadobj.png),
    Col(img, Amodel Road Mask, images/road_*_amodelroad.png)
]

# Generate HTML Table
imagetable(cols)

In this code, we have a collection of various columns. Each Col object acts like a well-measured cup in your recipe, ensuring that all elements come together harmoniously.

Web Publishing

To share your visualized results effortlessly, HTML4Vision includes a web publishing feature. This serves like a digital bakery, allowing you to present your cakes (visual outputs) to the online world without needing a physical storefront. To start the web server, navigate to the desired directory and run:

python -m html4vision.server

The default port for this action is 6096. If you prefer a different one, you can specify it as follows:

python -m html4vision.server 23333

Interactive Tables

HTML4Vision allows users to generate interactive tables that can be sorted and toggled. Imagine you are at a buffet with various dishes laid out; you can sort them based on your preference. To enable this feature during table creation, specify sortable=True.

Troubleshooting

1. I can’t find the HTML file after generating it. Ensure that you are looking in the correct directory where the output file is saved, which can be specified in the `out_file` parameter.
2. The images are not displaying properly. Check your glob patterns and paths; any mismatch will cause issues in loading content. You can also utilize the thumbs_dir to ensure thumbnails are generated correctly.
3. I see cross-origin errors with displaying 3D models. This usually happens when the HTML file is opened directly. Always run the web server as outlined above to resolve this.
4. If you need more assistance, feel free to reach out. For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.

Conclusion

HTML4Vision empowers users to create meaningful visuals with minimal effort. Whether you’re sorting through algorithms in a table or displaying complex 3D models, this tool has got you covered! Dive in, experiment, and let your research shine.