DipCoatImage-FiniteDepth-IFD
A DipCoatImage-FiniteDepth plugin to measure roughness with integral Fréchet distance.
Usage
- Use
RectIfdRoughnessfor substrate with rectangular cross section. - Define your own class by subclassing
IfdRoughnessBase.
Refer to the documentation for the API reference.
The command-line analysis is also applicable. An YAML example of the configuration file is:
data:
...
layer:
type: RectIfdRoughness
parameters:
delta: 5.0
opening_ksize: [1, 1]
reconstruct_radius: 50
Refer to the DipCoatImage-FiniteDepth package for more information.
Installation
DipCoatImage-FiniteDepth-IFD can be installed using pip.
$ pip install dipcoatimage-finitedepth-ifd
Documentation
The manual can be found on Read the Docs:
If you want to build the document yourself, get the source code and install with [doc] dependency. Then, go to doc directory and build the document.
The full command is (from the project root directory)
$ pip install .[doc]
$ cd doc
$ make html
Document will be generated in build/html directory. Open index.html to see the central page.
Metadata
Release files for dipcoatimage-finitedepth-ifd 0.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dipcoatimage_finitedepth_ifd-0.3.0.tar.gz | 9.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dipcoatimage_finitedepth_ifd-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 19.3 kB
Release files / dipcoatimage_finitedepth_ifd-0.3.0.tar.gz
| Download URL | dipcoatimage_finitedepth_ifd-0.3.0.tar.gz |
|---|---|
| Size | 9.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / dipcoatimage_finitedepth_ifd-0.3.0-py3-none-any.whl
| Download URL | dipcoatimage_finitedepth_ifd-0.3.0-py3-none-any.whl |
|---|---|
| Size | 10.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
twine/5.1.0 CPython/3.12.4
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