DropPy pulls out all contained data and passes it through a series of reusable Python scripts (Tasks). Order and parameters are defined using a simple JSON format (Workflows). You can use anything you can drag & drop on macOS as input for DropPy: Files & folders, emails, calendar items, images, URLs, images on websites, rich & plain text. Droppy is a falling ball Game, it is an Addictive game which is simple and easy to play the gameplay, you just tap on the screen and avoid the obstacle which will make you fail to beat your score. This game is really Super Addictive because you will beat the game up to 50 Different Levels with futuristic design graphics. Droppy is an enemy from Kirby & the Amazing Mirror.It is a small, yellow creature that can inhale and swallow like Kirby, and it also has its own method of copying abilities. If Kirby gets too close to a Droppy, it steals the copy ability that Kirby currently has, then transforms into a faster and pink version of an enemy that gives that power when Kirby swallows it. Droppy can also provide overnight delivery within major metropolitan areas. Our mission is to provide delivery solutions to our customers that are best in class, are fairly priced, are consistent with our customers' expectations and leave us with a feeling of a job well done. We are a flexible and ethical partner to our agents, employer to our.

1. Droopy Eye Syndrome
2. Droopy

Released:

# Python contact angle image processing analysis

Project description

A python script that follows a simple logical progression to reliably measure contact angles from image or video files. While the traditional methods for contact angle analysis typically rely on the user drawing tangent lines to droplets, which is both time consuming and can lead to bias in the analysis results, we attempt to automate this analysis to make the process both more robust and more amenable to high throughput data generation. The logic we use for this process is highlighted below:

Installation

The analysis script can be installed by cloning the repository into your desired working directory or via the following:

With the pip installation, the main script can be run from the command line by calling droppy; otherwise it must be run from within a Python instance (see Use section below).

Dependencies

The following packages must already be installed in your Python environment to contribute to the development of this project:

• numpy
• scipy
• scikit-image
• imageio
• matplotlib
• setuptools
• wheel
• twine
• pytest
• pip:
  • imageio-ffmpeg
  • pytest-subtests
  • pytest-cov

Use

Depending on the installation choice, the script can either be run from the command line:

If you have installed as a developer, you can use the script by calling the main() function from the file analysis.py

Parameter Definitions

The relevant threshold parameters that define where the tangent lines, baseline, and circle will be identified are most easily explained through the image below:

These parameters can be accessed through the flags --baselineThreshold, --circleThreshold, and --linThreshold respectively. Additional flags can be set and can be shown from the help accessed by

Documentation

A GitHub pages site with the full documentation and API is provided here

Credits

Contact angle measurement automation has also been performed by mvgorcum, which uses a different approach to fitting the tangents, but inspired our work here.

Contribute

Droopy Eye Syndrome

Please don't hesitate to submit any issues that you may identify with the approach or the coding. We will try to respond quickly to any questions that may arise. If you would like to contribute to the project, feel free to make any pull requests that will make the solution more robust/efficient/better for your application, and we will do our best to incorporate it in the next release.

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Droopy

1.0.0b0 pre-release

1.0.0a0.post1 pre-release

1.0.0a0 pre-release

1.0.0.dev2 pre-release

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