A Streamlit component for visualizing track data on images
Project description
st-track-analysis
================
st-track-analysis is a Python package that provides a custom Streamlit component for visualizing track data on images. It allows you to easily plot and analyze tracks with associated ground data on top of images.
Features
--------
- Supports visualizing multiple tracks with their associated ground data on the same image.
- Easily overlay shape data, such as bounding boxes, on the images.
- Option to provide names for each track for better identification.
- Customizable key for using the component in Streamlit apps.
- Automatic conversion of images created by matplotlib into base64-encoded URLs for display.
Requirements
------------
- Python 3.x
- streamlit
- matplotlib
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
st_track_viewer-0.1.9.tar.gz
(2.0 MB
view hashes)
Built Distribution
Close
Hashes for st_track_viewer-0.1.9-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | e81dd8a4c3a3eaee762af1b355f0f2fe1d17319c069ee9e81ca2b3e642b68b1e |
|
MD5 | 1ab48c1ec693778af5548bf2e927659c |
|
BLAKE2b-256 | 95e471d8f7aa7d4a329efc99cd6901fdc4b0ee0c110937dd7cdd31a533b05b6a |