Image

Images of spectral values, such as the received power in a frame buffer, a spectral texture, or a measured PSF. Each spectral submodule has its own: huira.rgb.Image, huira.visible8.Image and so on.

class huira.swir8.Image

__init__(*args, **kwargs)

Overloaded function.

1. __init__(self: huira._huira.swir8.Image) -> None

2. __init__(self: huira._huira.swir8.Image, width: int, height: int) -> None

3. __init__(self: huira._huira.swir8.Image, width: int, height: int, fill_value: huira._huira.swir8.SpectralBins) -> None

4. __init__(self: huira._huira.swir8.Image, array: numpy.ndarray[numpy.float32]) -> None

Construct from a numpy array. Single-channel: (H, W). Multi-channel: (H, W, C).

property channels

clear(self: huira._huira.swir8.Image) → None

property empty

fill(self: huira._huira.swir8.Image, value: huira._huira.swir8.SpectralBins) → None

get_channel(self: huira._huira.swir8.Image, channel: int) → huira._huira.Image_f32

Extract a single channel as an Image_f32 (0-indexed).

property height

property resolution

property sensor_bit_depth

property shape

to_numpy(self: huira._huira.swir8.Image) → numpy.ndarray[numpy.float32]

Return image data as a numpy array (always copies).

property width

class huira.swir8.ImageBundle

__init__(*args, **kwargs)

Overloaded function.

1. __init__(self: huira._huira.swir8.ImageBundle, image: huira._huira.swir8.Image) -> None

2. __init__(self: huira._huira.swir8.ImageBundle, image: huira._huira.swir8.Image, alpha: huira._huira.Image_f32) -> None

property alpha

property bit_depth

property color_space

property gamma_value

property image

property scaling