| Name | pixviz JSON |
| Version |
1.0.1
JSON |
| download |
| home_page | None |
| Summary | GUI for image sequences pixel analysis |
| upload_time | 2024-07-24 23:28:20 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.10 |
| license | BSD 3-Clause License Copyright (c) 2024, Yu-Ting Wei Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. |
| keywords |
computer vision
image processing
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# pixviz
## Pixel intensity analysis and visualization for image sequences
# Installation
- create conda env `conda create -n pixviz python~=3.10.0 -y`
- install dependencies `pip install pixviz`
- launch GUI `python -m pixviz`
# Simple Demo
# GUI Usage
1. Load your video by clicking `Load Video`
2. Drag your ROI(s) by first click `Drag a Rect ROI` button then drag area in video view. Press `play` see preview in plot view (delete by first click the roi in table, then click ``Delete ROI``), ``clear`` button is used for delete realtime plot display
3. Click `Process` the evaluate all, output will be saved as json meta and npy array in the same directory of video source
4. The data (.npy) can be reload using `load result` (the meta json need to be in the same directory)
# API doc
- See [API Doc](https://pixelviz.readthedocs.io/en/latest/)
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