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-0.1.6.tar.gz
(2.0 MB
view hashes)
Built Distribution
Close
Hashes for st_track_viewer-0.1.6-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d9e45f815203c8743fc064dad24e5daf30d4da6402b9ccf1bd170e201ee93260 |
|
MD5 | a55825c8f9a582af8cf51c843793893b |
|
BLAKE2b-256 | d8a4b35a017a318ac7fef099eded54e1925e6160f0aa73ba04c542aa626de4b4 |