Colormap¶

class Colormap(self, colormapType: visp._visp.core.Colormap.ColormapType)¶

Bases: pybind11_object

Creates a colormap class to be able to recolor an image with different grayscale values into some corresponding color values, for better visualization for example.

Methods

`__init__`
`convert`	Overloaded function.

Inherited Methods

Operators

`__doc__`
`__init__`
`__module__`

Attributes

`COLORMAP_AUTUMN`
`COLORMAP_CIVIDIS`
`COLORMAP_COOL`
`COLORMAP_GIST_EARTH`
`COLORMAP_GNUPLOT`
`COLORMAP_GNUPLOT2`
`COLORMAP_HOT`
`COLORMAP_HSV`
`COLORMAP_INFERNO`
`COLORMAP_JET`
`COLORMAP_MAGMA`
`COLORMAP_OCEAN`
`COLORMAP_PLASMA`
`COLORMAP_RAINBOW`
`COLORMAP_SPRING`
`COLORMAP_SUMMER`
`COLORMAP_TERRAIN`
`COLORMAP_TURBO`
`COLORMAP_TWILIGHT`
`COLORMAP_TWILIGHT_SHIFTED`
`COLORMAP_VIRIDIS`
`COLORMAP_WINTER`
`__annotations__`

class ColormapType(self, value: int)¶

Bases: pybind11_object

Values:

COLORMAP_AUTUMN
COLORMAP_CIVIDIS
COLORMAP_COOL
COLORMAP_GIST_EARTH
COLORMAP_GNUPLOT
COLORMAP_GNUPLOT2
COLORMAP_HOT
COLORMAP_HSV
COLORMAP_INFERNO
COLORMAP_JET
COLORMAP_MAGMA
COLORMAP_OCEAN
COLORMAP_PLASMA
COLORMAP_RAINBOW
COLORMAP_SPRING
COLORMAP_SUMMER
COLORMAP_TERRAIN
COLORMAP_TURBO
COLORMAP_TWILIGHT
COLORMAP_TWILIGHT_SHIFTED
COLORMAP_VIRIDIS
COLORMAP_WINTER

__and__(self, other: object) → object¶

__eq__(self, other: object) → bool¶

__ge__(self, other: object) → bool¶

__getstate__(self) → int¶

__gt__(self, other: object) → bool¶

__hash__(self) → int¶

__index__(self) → int¶

__init__(self, value: int)¶

__int__(self) → int¶

__invert__(self) → object¶

__le__(self, other: object) → bool¶

__lt__(self, other: object) → bool¶

__ne__(self, other: object) → bool¶

__or__(self, other: object) → object¶

__rand__(self, other: object) → object¶

__ror__(self, other: object) → object¶

__rxor__(self, other: object) → object¶

__setstate__(self, state: int) → None¶

__xor__(self, other: object) → object¶

property name : str¶

__init__(self, colormapType: visp._visp.core.Colormap.ColormapType)¶

convert(*args, **kwargs)¶

Overloaded function.

convert(self: visp._visp.core.Colormap, I: visp._visp.core.ImageGray, Icolor: visp._visp.core.ImageRGBa, normalize: bool = false) -> None

Apply a colormap to a 8-bit grayscale image:

if normalize is set to true, the min, max values are first extracted from I
the different values are remapped into the [0 - 255] range,
the colormap is applied on these unsigned char values,
otherwise, the grayscale values are directly mapped using the colormap.

Parameters:

I: The 8-bit grayscale image on which the colormap will be apply.
Icolor: Colorized image.
normalize: If true, normalization into the [0 - 255] range is applied, otherwise the grayscale values are directly mapped.

convert(self: visp._visp.core.Colormap, I: visp._visp.core.ImageRGBa, Icolor: visp._visp.core.ImageRGBa, normalize: bool = false) -> None

Apply a colormap to a 8-bit RGB image:

the RGB values are first converted to grayscale values,
if normalize is set to true, the min, max values are then extracted from I
the different values are remapped into the [0 - 255] range,
the colormap is applied on these unsigned char values,
otherwise, the grayscale values are directly mapped using the colormap.

Parameters:

I: The 8-bit grayscale image on which the colormap will be apply.
Icolor: Colorized image.
normalize: If true, normalization into the [0 - 255] range is applied, otherwise the grayscale values are directly mapped.

convert(self: visp._visp.core.Colormap, I: visp._visp.core.ImageFloat, Icolor: visp._visp.core.ImageRGBa) -> None

Apply a colormap to a floating-point image:

the min, max values are first extracted from I
the different values are remapped into the [0 - 255] range,
the colormap is applied on these unsigned char values.

Parameters:

I: The float image on which the colormap will be apply.
Icolor: Colorized image.

convert(self: visp._visp.core.Colormap, I: visp._visp.core.ImageRGBf, Icolor: visp._visp.core.ImageRGBa) -> None

Apply a colormap to a 3 channels floating-point image:

the RGB values are converted using the grayscale formula,
the min, max values are first extracted from I
the different values are remapped into the [0 - 255] range,
the colormap is applied on these unsigned char values.

Parameters:

I: The float image on which the colormap will be apply.
Icolor: Colorized image.