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
1 maintainer
Release files for st-track-analysis 0.0.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| st_track_analysis-0.0.7.tar.gz | 2.0 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| st_track_analysis-0.0.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 3.9 MB
Release files / st_track_analysis-0.0.7.tar.gz
| Download URL | st_track_analysis-0.0.7.tar.gz |
|---|---|
| Size | 2.0 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/4.0.2 CPython/3.9.13
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Release files / st_track_analysis-0.0.7-py3-none-any.whl
| Download URL | st_track_analysis-0.0.7-py3-none-any.whl |
|---|---|
| Size | 2.0 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/4.0.2 CPython/3.9.13
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