Tool for analyzing droplet size and concentration using video and EDF images
Project description
Droplet Computer program
This package allows the analysis of videos and images in EDF format to extract physical parameters of droplets in acoustic levitation or other experimental techniques. The graphical user interface provides:
- Region of interest cropping
- Morphological analysis
- Polynomial fitting of data
- PDF report generation
How to use
Install:
python -m venv venv
source venv/bin/activate (Linux) or venv\Scripts\activate (windows)
pip install drap
User Guide: https://drive.google.com/drive/folders/1D3Aj5R231DEiVliRnFsXuLpEqfVS7Ol9?usp=sharing
Use:
drap -o 1 (Gui interface)
drap -o 2 (Terminal interface)
drap -o 3 (Automatic file: name_videos.dat)
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
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file drap-0.0.4.post15.tar.gz.
File metadata
- Download URL: drap-0.0.4.post15.tar.gz
- Upload date:
- Size: 1.1 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
41a71dddc07d2cacdd164c6665253e561875d30dea973fe1aa8a30c68dbd5d7f
|
|
| MD5 |
6f2a0b148ecb78942e744604b818787a
|
|
| BLAKE2b-256 |
3a0c0b2104ff096bf52b781d4d978d238ee461ec0cef4d1f69fd8a8366e45036
|
File details
Details for the file drap-0.0.4.post15-py3-none-any.whl.
File metadata
- Download URL: drap-0.0.4.post15-py3-none-any.whl
- Upload date:
- Size: 1.1 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
bc16a4ad19e3a638dbd519c277eeebf6e775faa5b9f513806b67e54779b7d110
|
|
| MD5 |
bda700ad93d6b8502f5c5f599d23a83f
|
|
| BLAKE2b-256 |
60953d02adc06ee4486e787524486f2072549b88f2773b1b342b8c03f8675a23
|
