From e6c28521f561b01420f3fd1d9fba8daa7cae6e56 Mon Sep 17 00:00:00 2001 From: hahnec Date: Thu, 5 Jan 2023 20:59:13 +0100 Subject: [PATCH] chore(badge): amend badge link according to https://github.com/badges/shields/issues/8671#issue-1471818100 --- README.rst | 2 +- docs/build/html/apidoc.html | 60 ++++++++++++++--------------- docs/build/html/color_matcher.html | 60 ++++++++++++++--------------- docs/build/html/objects.inv | Bin 777 -> 773 bytes docs/build/html/py-modindex.html | 2 +- docs/build/html/readme.html | 34 ++++++++-------- docs/build/html/searchindex.js | 2 +- 7 files changed, 80 insertions(+), 80 deletions(-) diff --git a/README.rst b/README.rst index 79e08a4..76ebf8e 100644 --- a/README.rst +++ b/README.rst @@ -194,7 +194,7 @@ API Usage .. |build_travis| image:: https://img.shields.io/travis/com/hahnec/color-matcher?style=square :target: https://travis-ci.com/github/hahnec/color-matcher -.. |build_github| image:: https://img.shields.io/github/workflow/status/hahnec/color-matcher/ColorMatcher's%20CI%20Pipeline/master?style=square +.. |build_github| image:: https://img.shields.io/github/actions/workflow/status/hahnec/color-matcher/gh_actions.yml?branch=master&style=square :target: https://github.com/hahnec/color-matcher/actions :alt: GitHub Workflow Status diff --git a/docs/build/html/apidoc.html b/docs/build/html/apidoc.html index 7483b93..5f69693 100644 --- a/docs/build/html/apidoc.html +++ b/docs/build/html/apidoc.html @@ -61,7 +61,7 @@

Class hierarchy
-main() → numpy.ndarray
+main() → numpy.ndarray

The main function is the high-level entry point performing the mapping based on instantiation arguments.

Returns
@@ -75,14 +75,14 @@

Class hierarchy
-transfer(src: Optional[numpy.ndarray] = None, ref: Optional[numpy.ndarray] = None, method: Optional[str] = None) → numpy.ndarray
+transfer(src: Optional[numpy.ndarray] = None, ref: Optional[numpy.ndarray] = None, method: Optional[str] = None) → numpy.ndarray

Transfer function to map colors based on provided transfer method.

Parameters
    -

  • src (ndarray) – Source image that requires transfer

    • -

  • ref (ndarray) – Palette image which serves as reference

    • -

  • method (str) – (‘default’, ‘hm’, ‘reinhard’, ‘mvgd’, ‘mkl’, ‘hm-mvgd-hm’, ‘hm-mkl-hm’) determining color mapping

    • +

  • src (ndarray) – Source image that requires transfer

    • +

  • ref (ndarray) – Palette image which serves as reference

    • +

  • method (str) – (‘default’, ‘hm’, ‘reinhard’, ‘mvgd’, ‘mkl’, ‘hm-mvgd-hm’, ‘hm-mkl-hm’) determining color mapping

Returns
@@ -106,15 +106,15 @@

Class hierarchy
-hist_match(src: Optional[numpy.ndarray] = None, ref: Optional[numpy.ndarray] = None) → numpy.ndarray
+hist_match(src: Optional[numpy.ndarray] = None, ref: Optional[numpy.ndarray] = None) → numpy.ndarray

This function conducts channel-wise histogram matching which is invariant of image resolutions, but requires the same number of color channels in both images.

Parameters
    -

  • src (ndarray) – Source image that requires transfer

    • -

  • ref (ndarray) – Palette image which serves as reference

    • -

  • res (ndarray) – Resulting image after the mapping

    • +

  • src (ndarray) – Source image that requires transfer

    • +

  • ref (ndarray) – Palette image which serves as reference

    • +

  • res (ndarray) – Resulting image after the mapping

Returns
@@ -138,7 +138,7 @@

Class hierarchy
-analytical_solver() → numpy.ndarray
+analytical_solver() → numpy.ndarray

An analytical solution to the linear equation system of Multi-Variate Gaussian Distributions (MVGDs).

Returns
@@ -177,15 +177,15 @@

Class hierarchy
-multivar_transfer(src: Optional[numpy.ndarray] = None, ref: Optional[numpy.ndarray] = None, fun: Optional[function] = None) → numpy.ndarray
+multivar_transfer(src: Optional[numpy.ndarray] = None, ref: Optional[numpy.ndarray] = None, fun: Optional[function] = None) → numpy.ndarray

Transfer function to map colors based on for Multi-Variate Gaussian Distributions (MVGDs).

Parameters
    -

  • src (ndarray) – Source image that requires transfer

    • -

  • ref (ndarray) – Palette image which serves as reference

    • +

  • src (ndarray) – Source image that requires transfer

    • +

  • ref (ndarray) – Palette image which serves as reference

  • fun – Optional argument to pass a transfer function to solve for covariance matrices

    • -

  • res (ndarray) – Resulting image after the mapping

    • +

  • res (ndarray) – Resulting image after the mapping

Returns
@@ -199,42 +199,42 @@

Class hierarchy
-static w2_dist(mu_a: numpy.ndarray, mu_b: numpy.ndarray, cov_a: numpy.ndarray, cov_b: numpy.ndarray) → float
+static w2_dist(mu_a: numpy.ndarray, mu_b: numpy.ndarray, cov_a: numpy.ndarray, cov_b: numpy.ndarray) → float

Wasserstein-2 distance metric is a similarity measure for Gaussian distributions

Parameters
    -

  • mu_a (ndarray) – Gaussian mean of distribution a

    • -

  • mu_b (ndarray) – Gaussian mean of distribution b

    • -

  • cov_a (ndarray) – Covariance matrix of distribution a

    • -

  • cov_b (ndarray) – Covariance matrix of distribution b

    • +

  • mu_a (ndarray) – Gaussian mean of distribution a

    • +

  • mu_b (ndarray) – Gaussian mean of distribution b

    • +

  • cov_a (ndarray) – Covariance matrix of distribution a

    • +

  • cov_b (ndarray) – Covariance matrix of distribution b

Returns

scalar: Wasserstein-2 metric as a scalar

Return type
-

float

+

float

-w2_img_dist(img_a: numpy.ndarray, img_b: numpy.ndarray)
+w2_img_dist(img_a: numpy.ndarray, img_b: numpy.ndarray)

Wasserstein-2 image distance metric is a similarity measure for Gaussian distributions

Parameters
    -

  • img_a (ndarray) – Image array a

    • -

  • img_b (ndarray) – Image array b

    • +

  • img_a (ndarray) – Image array a

    • +

  • img_b (ndarray) – Image array b

Returns

scalar: Wasserstein-2 image metric as a scalar

Return type
-

float

+

float

@@ -251,15 +251,15 @@

Class hierarchy
-reinhard(src: Optional[numpy.ndarray] = None, ref: Optional[numpy.ndarray] = None) → numpy.ndarray
+reinhard(src: Optional[numpy.ndarray] = None, ref: Optional[numpy.ndarray] = None) → numpy.ndarray

This function conducts color matching based on the principles proposed by Reinhard et al. The paper of the original work can be found at https://www.cs.tau.ac.il/~turkel/imagepapers/ColorTransfer.pdf

Parameters
    -

  • src (ndarray) – Source image that requires transfer

    • -

  • ref (ndarray) – Palette image which serves as reference

    • -

  • res (ndarray) – Resulting image after the mapping

    • +

  • src (ndarray) – Source image that requires transfer

    • +

  • ref (ndarray) – Palette image which serves as reference

    • +

  • res (ndarray) – Resulting image after the mapping

Returns
@@ -283,12 +283,12 @@

Class hierarchy
-static rgb2gray(rgb: Optional[numpy.ndarray] = None, standard: str = 'HDTV') → numpy.ndarray
+static rgb2gray(rgb: Optional[numpy.ndarray] = None, standard: str = 'HDTV') → numpy.ndarray

Convert RGB color space to monochromatic color space

Parameters
    -

  • rgb (ndarray) – input array in red, green and blue (RGB) space

    • +

  • rgb (ndarray) – input array in red, green and blue (RGB) space

  • standard (string) – option that determines whether head- and footroom are excluded (‘HDTV’) or considered otherwise

diff --git a/docs/build/html/color_matcher.html b/docs/build/html/color_matcher.html index 2ffc86a..5bf261d 100644 --- a/docs/build/html/color_matcher.html +++ b/docs/build/html/color_matcher.html @@ -45,7 +45,7 @@

Submodules
class color_matcher.baseclass.MatcherBaseclass(*args, **kwargs)
-

Bases: object

+

Bases: object

__init__(*args, **kwargs)
@@ -53,12 +53,12 @@

Submodules
-static rgb2gray(rgb: Optional[numpy.ndarray] = None, standard: str = 'HDTV') → numpy.ndarray
+static rgb2gray(rgb: Optional[numpy.ndarray] = None, standard: str = 'HDTV') → numpy.ndarray

Convert RGB color space to monochromatic color space

Parameters
    -

  • rgb (ndarray) – input array in red, green and blue (RGB) space

    • +

  • rgb (ndarray) – input array in red, green and blue (RGB) space

  • standard (string) – option that determines whether head- and footroom are excluded (‘HDTV’) or considered otherwise

@@ -99,15 +99,15 @@

Submodules
-hist_match(src: Optional[numpy.ndarray] = None, ref: Optional[numpy.ndarray] = None) → numpy.ndarray
+hist_match(src: Optional[numpy.ndarray] = None, ref: Optional[numpy.ndarray] = None) → numpy.ndarray

This function conducts channel-wise histogram matching which is invariant of image resolutions, but requires the same number of color channels in both images.

Parameters
    -

  • src (ndarray) – Source image that requires transfer

    • -

  • ref (ndarray) – Palette image which serves as reference

    • -

  • res (ndarray) – Resulting image after the mapping

    • +

  • src (ndarray) – Source image that requires transfer

    • +

  • ref (ndarray) – Palette image which serves as reference

    • +

  • res (ndarray) – Resulting image after the mapping

Returns
@@ -126,12 +126,12 @@

Submodules

color_matcher.io_handler module

-color_matcher.io_handler.load_img_file(file_path: Optional[str] = None) → numpy.ndarray
+color_matcher.io_handler.load_img_file(file_path: Optional[str] = None) → numpy.ndarray
-color_matcher.io_handler.save_img_file(img, file_path: Optional[str] = None, file_type: Optional[str] = None) → bool
+color_matcher.io_handler.save_img_file(img, file_path: Optional[str] = None, file_type: Optional[str] = None) → bool
@@ -159,7 +159,7 @@

Submodules
-analytical_solver() → numpy.ndarray
+analytical_solver() → numpy.ndarray

An analytical solution to the linear equation system of Multi-Variate Gaussian Distributions (MVGDs).

Returns
@@ -198,15 +198,15 @@

Submodules
-multivar_transfer(src: Optional[numpy.ndarray] = None, ref: Optional[numpy.ndarray] = None, fun: Optional[function] = None) → numpy.ndarray
+multivar_transfer(src: Optional[numpy.ndarray] = None, ref: Optional[numpy.ndarray] = None, fun: Optional[function] = None) → numpy.ndarray

Transfer function to map colors based on for Multi-Variate Gaussian Distributions (MVGDs).

Parameters
    -

  • src (ndarray) – Source image that requires transfer

    • -

  • ref (ndarray) – Palette image which serves as reference

    • +

  • src (ndarray) – Source image that requires transfer

    • +

  • ref (ndarray) – Palette image which serves as reference

  • fun – Optional argument to pass a transfer function to solve for covariance matrices

    • -

  • res (ndarray) – Resulting image after the mapping

    • +

  • res (ndarray) – Resulting image after the mapping

Returns
@@ -220,42 +220,42 @@

Submodules
-static w2_dist(mu_a: numpy.ndarray, mu_b: numpy.ndarray, cov_a: numpy.ndarray, cov_b: numpy.ndarray) → float
+static w2_dist(mu_a: numpy.ndarray, mu_b: numpy.ndarray, cov_a: numpy.ndarray, cov_b: numpy.ndarray) → float

Wasserstein-2 distance metric is a similarity measure for Gaussian distributions

Parameters
    -

  • mu_a (ndarray) – Gaussian mean of distribution a

    • -

  • mu_b (ndarray) – Gaussian mean of distribution b

    • -

  • cov_a (ndarray) – Covariance matrix of distribution a

    • -

  • cov_b (ndarray) – Covariance matrix of distribution b

    • +

  • mu_a (ndarray) – Gaussian mean of distribution a

    • +

  • mu_b (ndarray) – Gaussian mean of distribution b

    • +

  • cov_a (ndarray) – Covariance matrix of distribution a

    • +

  • cov_b (ndarray) – Covariance matrix of distribution b

Returns

scalar: Wasserstein-2 metric as a scalar

Return type
-

float

+

float

-w2_img_dist(img_a: numpy.ndarray, img_b: numpy.ndarray)
+w2_img_dist(img_a: numpy.ndarray, img_b: numpy.ndarray)

Wasserstein-2 image distance metric is a similarity measure for Gaussian distributions

Parameters
    -

  • img_a (ndarray) – Image array a

    • -

  • img_b (ndarray) – Image array b

    • +

  • img_a (ndarray) – Image array a

    • +

  • img_b (ndarray) – Image array b

Returns

scalar: Wasserstein-2 image metric as a scalar

Return type
-

float

+

float

@@ -268,7 +268,7 @@

Submodules
class color_matcher.normalizer.Normalizer(data=None, min=None, max=None)
-

Bases: object

+

Bases: object

__init__(data=None, min=None, max=None)
@@ -314,7 +314,7 @@

Submodules
-main() → numpy.ndarray
+main() → numpy.ndarray

The main function is the high-level entry point performing the mapping based on instantiation arguments.

Returns
@@ -328,14 +328,14 @@

Submodules
-transfer(src: Optional[numpy.ndarray] = None, ref: Optional[numpy.ndarray] = None, method: Optional[str] = None) → numpy.ndarray
+transfer(src: Optional[numpy.ndarray] = None, ref: Optional[numpy.ndarray] = None, method: Optional[str] = None) → numpy.ndarray

Transfer function to map colors based on provided transfer method.

Parameters
    -

  • src (ndarray) – Source image that requires transfer

    • -

  • ref (ndarray) – Palette image which serves as reference

    • -

  • method (str) – (‘default’, ‘hm’, ‘reinhard’, ‘mvgd’, ‘mkl’, ‘hm-mvgd-hm’, ‘hm-mkl-hm’) determining color mapping

    • +

  • src (ndarray) – Source image that requires transfer

    • +

  • ref (ndarray) – Palette image which serves as reference

    • +

  • method (str) – (‘default’, ‘hm’, ‘reinhard’, ‘mvgd’, ‘mkl’, ‘hm-mvgd-hm’, ‘hm-mkl-hm’) determining color mapping

Returns
diff --git a/docs/build/html/objects.inv b/docs/build/html/objects.inv index bd454060786ebb3c78639bc6d07e865705d62a09..28f75d7ee9dc4c0b895dc5e04f6b8d5cf5d5365d 100644 GIT binary patch delta 648 zcmV;30(bq1289NYiGNXd4^_3dwkx%JNENkJuhy*XfE9lr+ptZ4eNCJXoB+X?Q-a6u z;~9IH0kGmqBLNl{RA=S>NhnfrntjM{+p;RG;P1R``951NLhIM&YJGuV4#s2;8I+7D z?8U>X6+%ohi_pObY70f;^a7Zis2t(+3W4MXRzk1nQt3Zn+j2v~~zJY1MrXiVgYFcAa$NtrA_lj!`o5>DCL zYlJ>tM<9M5Z;ADvZ_nd>Z>y#_9_T>=-&=-(Bcpg7b$bRNH-dMu=NAyfF4YH7am#AZ zXhN+CKyQyO5`SY8LqgBXMAPPtTQXI)B#-YHbG;X5nWDEg(P zBs>_jA%i_L+NF_wbOvruZyiNu3Kbv;PuRi>V#O7Z!-;O0!#Lo!lGrjOQ1r}4M z{267&l7FY>H$1iM^X4UU7nPvWLen`z2ime*emInsfOnA7MNVBiCiL$?%;D7?vXh@i zz4E2`ySPj{uF;xtU@uQ>O4{{g1C5CL%${x*mJ delta 652 zcmV;70(1R^28jlciGQfOhpO6J+m+fqq>9?ASIdhhV8tKEHf-syuZi=46CfCKN*Mcn zJYx?tKqi?~h+~r#ppvqA;*wMhk`DuND`*!n2Nbtqp;AsW8l;D->Eh-SC|J!eSfW-6Zs9Jum(38Ksk!P zU=7ao$uV3j=frTsQ2Fbljj4%Y)R<9%4Ino!EA%2X%5y|04}tvzDhjMfaDH3~=WOjY zLLILI5WkPN#OBYp=jpz8RdXEo^jKil7@A>*v}ASA?dgH6CEJIdpGV;PSRZ)B46U(3 zGir?odV92yXnzwScgY-tc5JOP?DHjXvtxK`cJB4a7d~fBN zM8C9@t0#hxWA8#nduFgp6Z_}_+=1RYiA*IbuplgA3onS2NlXqWx}z3jfxAj%hDs6c zPO5PYi?M(~W)>k;WvM`GRB2G?4J$!KK8MNcoJ41D7k@I?5rf^C&?O_87QiI)CNPDA9&IwZHzUC7-u1iM^;e2!q?s={wMs-ST}?QsQinb6DkI+cAN^2QkC1 z_K>aoWOd4y_V4O4?YKr~#(}*)u@%^GL1b|Dc4af8XPL5Dp9UOf diff --git a/docs/build/html/py-modindex.html b/docs/build/html/py-modindex.html index 8c79334..379a971 100644 --- a/docs/build/html/py-modindex.html +++ b/docs/build/html/py-modindex.html @@ -52,7 +52,7 @@

Python Module Index

- color_matcher + color_matcher diff --git a/docs/build/html/readme.html b/docs/build/html/readme.html index 027e88a..2ab8d81 100644 --- a/docs/build/html/readme.html +++ b/docs/build/html/readme.html @@ -53,7 +53,7 @@

Descriptionrelease License GitHub Workflow Status coverage PyPi Dl2 PyPI Downloads

+

release License GitHub Workflow Status coverage PyPi Dl2 PyPI Downloads

binder

@@ -61,10 +61,10 @@

Results - - - - + + + + @@ -75,24 +75,24 @@

Results

Photograph

-

-

-

+

+

+

Film sequence

-

-

-

+

+

+

Light-field correction

-

-

-

+

+

+

Paintings

-

-

-

+

+

+

diff --git a/docs/build/html/searchindex.js b/docs/build/html/searchindex.js index 9aac1ff..71910ad 100644 --- a/docs/build/html/searchindex.js +++ b/docs/build/html/searchindex.js @@ -1 +1 @@ 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