Measure finite depth dip coating roughness with integral Fréchet distance.
Project description
DipCoatImage-FiniteDepth-IFD
A DipCoatImage-FiniteDepth plugin to measure roughness with integral Fréchet distance.
Usage
- Use
RectIfdRoughness
for 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:
roughness_type: "arithmetic"
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.
Project details
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
File details
Details for the file dipcoatimage_finitedepth_ifd-0.1.2.tar.gz
.
File metadata
- Download URL: dipcoatimage_finitedepth_ifd-0.1.2.tar.gz
- Upload date:
- Size: 9.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.12.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | e4c4d5256618016c392460f20fae382132a0b1d1e1aacd24b7c6185e1017d794 |
|
MD5 | f04ee63458f68ac074aeff580987ea0e |
|
BLAKE2b-256 | 3d9157b00a209f78aebdb326c15c6f85c70d451a41e59671d0ac26809457428e |
File details
Details for the file dipcoatimage_finitedepth_ifd-0.1.2-py3-none-any.whl
.
File metadata
- Download URL: dipcoatimage_finitedepth_ifd-0.1.2-py3-none-any.whl
- Upload date:
- Size: 10.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.12.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | cb0f632d35eeb0f2acb361de75fc71607e7db47cdb8b9e427bce197d6dfeccc3 |
|
MD5 | beb370371e3f1a73c63c25e061186b87 |
|
BLAKE2b-256 | 6b23e7ae3a18f5a2ff241c43a882613c3bb74e1737bf513394b62630ce235747 |