hdrCore package¶
Submodules¶
hdrCore.image module¶
package hdrCoreconsists of the core classes for HDR imaging: (1) classes: class imageType
class channel class Image class ColorSpace class Histogram
class: class metadata
- processing functions and classes:
def XYZ_to_sRGB(XYZ,apply_cctf_encoding=True): def sRGB_to_XYZ(RGB,apply_cctf_decoding=True): def Lab_to_XYZ(Lab) def XYZ_to_Lab(XYZ) def Lab_to_sRGB(Lab, apply_cctf_encoding=True, clip = False) def sRGB_to_Lab(RGB, apply_cctf_decoding=True) def Lch_to_sRGB(Lch,apply_cctf_encoding=True, clip=False) class Processing(object) class tmo_cctf(Processing) class exposure(Processing) class contrast(Processing) class clip(Processing) class ColorSpaceTransform(Processing) class resize(Processing) class Ycurve(Processing) class saturation(Processing) class lightnessMask(Processing) class geometry(Processing)
- processing nodes that encapsulate processing objects in process-pipe:
class ProcessNode(object)
- process-pipe that defines the pipeline of processing:
class ProcessPipe(object)
- some utils functions:
def filenamesplit(filename) def filterlistdir(path,extList) def ndarray2vector(nda) def NPlinearWeightMask(x,xMin,xMax,xTolerance) def croppRotated(h,w,alpha)
HDRdisplay model
- class hdrCore.image.ColorSpace¶
Bases:
object
Mapping to colour.models.RGB_COLOURSPACES
- static Lab()¶
TODO - Documentation de la méthode Lab
- static Lch()¶
TODO - Documentation de la méthode Lch
- static XYZ()¶
TODO - Documentation de la méthode XYZ
- static build(name='sRGB')¶
TODO - Documentation de la méthode build
- Args:
- name=’sRGB’: str
TODO
- static sRGB()¶
TODO - Documentation de la méthode sRGB
- static scRGB()¶
TODO - Documentation de la méthode scRGB
- class hdrCore.image.Histogram(histValue, edgeValue, name, channel, logSpace=False)¶
Bases:
object
TODO - documentation de la classe image.Histogram
description of class
- Attributes:
- name: str
TODO
- channel: TODO
TODO
- histValue: TODO
TODO
- edgeValue: TODO
TODO
- logSpace: TODO
TODO
- static build(img, channel, nbBins=100, range=None, logSpace=None)¶
Build an Histogram object from image.
- Args:
- img: Image
Required : input image from witch hsitogram will be build
- channel: channel
Required : image channel used to build histogram
- nbBins: int
Optional : histogram number of bins
- range: (Float,Float)
Optional : range of histogram, if None min max of channel
- logSpace: boolean
Optional : compute in log space if True, if None guess from image
- Returns:
- Histogram
Histogram of the image.
- normalise(norm=None)¶
Normalise histogram according to norm=’probability’ | ‘dot’
- Args:
- norm: str
Norm of the normalization
- Returns:
- TODO
TODO
- plot(ax, color='r', shortName=True, title=True)¶
Method to plot the histogram
- Args:
- ax: TODO
TODO
- color: TODO
TODO
- shortName: boolean
TODO
- title: boolean
TODO
- toNumpy()¶
TODO - Documentation de la méthode toNumpy
- Returns:
- TODO
TODO
- class hdrCore.image.Image(path, name, colorData, type, linear, colorspace, scalingFactor=1.0)¶
Bases:
object
class hdrCore.image.Image: the basic class that models HDR image and associated data
- Attributes:
path (str): path to access image name (str): image filename colorData (numpy.ndarray): numpy array of pixels type (image.imageType): type of image linear (boolean): image encoding is linear colorSpace (colour.models.RGB_COLOURSPACES): colorspace scalingFactor (float): scaling factor to range[0..1] metadata (hdrCore.metadatametadata): metadata histogram(hdrCore.image.Histogram): image histogram
- Methods:
isHDR: (boolean) returns True if image is HDR process: (hdrCore.image.Image) computes a processing and returns a new Image write: () write image and json metadata on disk (HDR image only) getChannel: () getDynamicRange: buildHistogram: plot: __repr__: (str) split: (list[[hdrCore.image.Image]]) split an image into sub-images
- Static methods:
read: (hdrCore.image.Image) read an image from file toOne: /!not used in uHDR buildLchColorData:
- buildHistogram(channel)¶
Build the histogram of the image
- Args:
- channel: TODO
TODO
- static buildLchColorData(L, c, h, size, width, height)¶
TODO - Documentation de la méthode buildLchColorData
- Args:
- L: TODO
TODO
- c: TODO
TODO
- h: TODO
TODO
- size: TODO
TODO
- width: TODO
TODO
- height: TODO
TODO
- Returns:
- TODO
TODO
- getChannel(channel)¶
To get channel : works only for sR|sG|sB, X|Y|Z and L|a|b
- Args:
- channel: TODO
TODO
- getDynamicRange(percentile=None)¶
Retrieve the dynamic range of image
- Args:
- percentile: float
Optional : percentile if None: just remove zero values
- Returns:
- float
The dynamic range of the image
- isHDR()¶
isHDR: return True is image is HDR
Args:
- Returns:
- (boolean)
True if the image is an HDR image, False otherwise
- static merge(imgList)¶
merge: merge 2D list of images into a single image (same size, same characteristics)
- Args:
imgList (list[[hdrCore.image.Image]], Required): 2D list of images
- Returns:
(hdrCore.image.Image)
- plot(ax, displayTitle=False, title=None, forceToneMapping=True, TMO=None)¶
Method to plot the image.
- Args:
- ax: TODO
TODO
- displayTitle: boolean
Indicates if the name and colorSpace must be displayed above the image.
- title: str
Title for the image. If None, the title will be the name of the image and its colorspace.
- forceToneMapping: boolean
TODO
- TMO: TODO
TODO
- process(process, **kwargs)¶
compute a process according to the Processing object parameter.
process, instance of Processing class, has a compute(image, **kwargs) method
- Args:
process: Processing object (see processing.Processing)
- kwargs: optionnal parameters packed as dict
parameters of the compute method of the Processing object
- static read(filename, thumb=False)¶
Method to read image from its filename. blablabla TODO à compléter.
- Args:
- filename: str
Filename of the file to read.
- thumb: boolean
This flag indicates us if soft have to read the thumbnail or the original file for what the thumbnail will be created.
- Returns:
- image.Image
the image object build from file.
Example:
>>> import uhdCore >>> img = Image.read(filename = "test.hdr", thumb = True)
TODO - Exemple à modifier
- split(widthSegment, heightSegment)¶
split: split an image widthSegment x heightSegment sub-images.
- Args:
widthSegment (int, Required): number of horizonatal segments heightSegment (int required): number of vertical segments
- Returns
list[[hdrCore.image.Image]] : list of sub-images
- static toOne(colorData)¶
This method scale the image colorData in [0, 1] space
- Args:
- colorData: TODO
TODO
- Returns:
- TODO
TODO
- write(filename)¶
Method to write the image in a file.
- Args:
- filename: str
Filename of the file to read.
- class hdrCore.image.channel(value)¶
Bases:
enum.Enum
This class groups constant values and methods relative to a channel of an image together. This class is an easy definition of channel.
- Attributes :
- value: int
Store the type of channel.
- colorSpace()¶
Retrieve the channel as a string.
- Returns:
- str
Colorspace type of the channel : ‘sRGB’, ‘XYZ’ or ‘Lab’.
- getValue()¶
Retrieve the channel index.
- Returns:
- int
Index of the channel.
- static toChannel(s)¶
Convert a channel name as a constant value defined in this class.
- Args:
- s: str
Name of the desired channel. This argument have to be in the list : ‘sR’, ‘sG’, ‘sB’, ‘X’, ‘Y’, ‘Z’, ‘L’, ‘a’ or ‘b’.
- Returns:
- int
Index of the channel.
- L = 8¶
- Lab = 11¶
- X = 4¶
- XYZ = 7¶
- Y = 5¶
- Z = 6¶
- a = 9¶
- b = 10¶
- sB = 2¶
- sG = 1¶
- sR = 0¶
- sRGB = 3¶
hdrCore.metadata module¶
package hdrCore consists of the core classes for HDR imaging: (1) classes: class imageType
class channel class Image class ColorSpace class Histogram
class: class metadata
- processing functions and classes:
def XYZ_to_sRGB(XYZ,apply_cctf_encoding=True): def sRGB_to_XYZ(RGB,apply_cctf_decoding=True): def Lab_to_XYZ(Lab) def XYZ_to_Lab(XYZ) def Lab_to_sRGB(Lab, apply_cctf_encoding=True, clip = False) def sRGB_to_Lab(RGB, apply_cctf_decoding=True) def Lch_to_sRGB(Lch,apply_cctf_encoding=True, clip=False) class Processing(object) class tmo_cctf(Processing) class exposure(Processing) class contrast(Processing) class clip(Processing) class ColorSpaceTransform(Processing) class resize(Processing) class Ycurve(Processing) class saturation(Processing) class lightnessMask(Processing) class geometry(Processing)
- processing nodes that encapsulate processing objects in process-pipe:
class ProcessNode(object)
- process-pipe that defines the pipeline of processing:
class ProcessPipe(object)
- some utils functions:
def filenamesplit(filename) def filterlistdir(path,extList) def ndarray2vector(nda) def NPlinearWeightMask(x,xMin,xMax,xTolerance) def croppRotated(h,w,alpha)
HDRdisplay model
- class hdrCore.metadata.metadata(_image)¶
Bases:
object
The metadatas of the image can be store in an object of this class. The informations which can be stored are : filename, path, a description, the exif data, the category, the processes to apply on the image.
- Atributes:
- metadata: TODO
TODO
- image: TODO
TODO
- static build(_image)¶
Build metadata object from an image.
- Args:
- _image: TODO
TODO
- Returns:
- TODO
TODO
- static readExif(filename)¶
Return exif (Dict) from image file
- Args:
- filename: str
Name of the image file.
- Returns:
- TODO
TODO
- recoverData(exif)¶
TODO - Documentation de la méthode recoverData
- Args:
- exif: TODO
TODO
- save()¶
Save the metadata in a json file. The extension .json is added to the filename of the image.
- defaultColorSpaceName = 'sRGB'¶
hdrCore.processing module¶
package hdrCore consists of the core classes for HDR imaging: (1) classes: class imageType
class channel class Image class ColorSpace class Histogram
class: class metadata
- processing functions and classes:
def XYZ_to_sRGB(XYZ,apply_cctf_encoding=True): def sRGB_to_XYZ(RGB,apply_cctf_decoding=True): def Lab_to_XYZ(Lab) def XYZ_to_Lab(XYZ) def Lab_to_sRGB(Lab, apply_cctf_encoding=True, clip = False) def sRGB_to_Lab(RGB, apply_cctf_decoding=True) def Lch_to_sRGB(Lch,apply_cctf_encoding=True, clip=False) class Processing(object) class tmo_cctf(Processing) class exposure(Processing) class contrast(Processing) class clip(Processing) class ColorSpaceTransform(Processing) class resize(Processing) class Ycurve(Processing) class saturation(Processing) class lightnessMask(Processing) class geometry(Processing)
- processing nodes that encapsulate processing objects in process-pipe:
class ProcessNode(object)
- process-pipe that defines the pipeline of processing:
class ProcessPipe(object)
- some utils functions:
def filenamesplit(filename) def filterlistdir(path,extList) def ndarray2vector(nda) def NPlinearWeightMask(x,xMin,xMax,xTolerance) def croppRotated(h,w,alpha)
HDRdisplay model
- class hdrCore.processing.ColorSpaceTransform¶
Bases:
hdrCore.processing.Processing
TODO - Documentation de la colorspace transorm processing
- compute(img, **kwargs)¶
Color space transform operator
- Args:
- img: hdrCore.image.Image
Required : hdr image
- kwargs: dict
Optionnal : parameters TODO
- Returns:
- TODO
TODO
- class hdrCore.processing.ProcessPipe¶
Bases:
object
TODO - Documentation de la classe ProcessPipe
- Attributes:
- originalImage: TODO
TODO
- __inputImage: TODO
TODO
- __outputImage: TODO
TODO
- processNodes: TODO
TODO
- previewHDR: boolean
TODO
- previewHDR_process: TODO
TODO
- class ProcessNode(process, paramDict=None, name=None)¶
Bases:
object
- compute(img)¶
- condCompute(img)¶
- getParameters()¶
- setParameters(paramDict)¶
- toDict()¶
- id = 0¶
- append(process, paramDict=None, name=None)¶
TODO - Documentation de la méthode append
- Args:
- process: TODO
TODO
- paramDict: TODO
TODO
- name: TODO
TODO
- Returns:
- TODO
TODO
- compute(progress=None)¶
TODO - Documentation de la méthode compute
- Args:
- progress: TODO
TODO
- export(dirName, size=None, to=None, progress=None)¶
TODO - Documentation de la méthode export
- Args:
dirName: TODO size: TODO to: TODO progress: TODO
- Returns:
(hdrCore.image.Image)
- getImage(toneMap=True)¶
TODO - Documentation de la méthode getImage
- Args:
- toneMap: TODO
TODO
- Returns:
- TODO
TODO
- getInputImage()¶
TODO - Documentation de la méthode getInputImage
- Returns:
- TODO
TODO
- getName()¶
TODO - Documentation de la méthode getName
- Returns:
- TODO
TODO
- getParameters(id)¶
TODO - Documentation de la méthode getParameters
- Args:
- id: TODO
TODO
- Returns:
- TODO
TODO
- getProcessNodeByName(name)¶
TODO - Documentation de la méthode getProcessNodeByName
- Args:
- name: TODO
TODO
- Returns:
- TODO
TODO
- setImage(img)¶
- set the input image to the process-pipeline:
a copy of the image is set to ‘originalImage’
if ProcessPipe.autoResize: the image is resized
the (resize) is set to ‘__inputImage’
a copy of the resized image is set to ‘__outputImage’ (for display)
initialize processpipe using ‘img.metadata’
for all processes in the pipe ‘requireUpdate’ is set to True
- Args:
img (hdrCore.image.Image, Required) : input image
Returns:
- setParameters(id, paramDicts)¶
TODO - Documentation de la méthode setParameters
- Args:
- id: TODO
TODO
- paramDicts: TODO
TODO
- toDict()¶
TODO - Documentation de la méthode toDict
- Returns:
- TODO
TODO
- updateHDRuseCase(hdrmeta)¶
TODO - Documentation de la méthode updateHDRuseCase
- Args:
- hdrmeta: TODO
TODO
- updateProcessPipeMetadata()¶
TODO - Documentation de la méthode updateProcessPipeMetadata
- autoResize = True¶
- maxSize = 1200¶
- maxWorking = 1200¶
- class hdrCore.processing.Processing¶
Bases:
object
TODO - Documentation de la classe Processing
- compute(image, **kwargs)¶
TODO - Documentation de la méthode compute
- Args:
- image: TODO
TODO
- kwargs: TODO
TODO
- Returns:
- TODO
TODO
- class hdrCore.processing.Ycurve¶
Bases:
hdrCore.processing.Processing
TODO - Documentation de la classe Ycurve
- compute(img, **kwargs)¶
compute: compute Ycurve according to parameters.
- Args:
img (hdrCore.image.Image, Required): image kwargs (dict,Optionnal): parameters gieven as dict
- Returns:
- (hdrCore.image.Image, Required): image
result of Ycurve processing
- class hdrCore.processing.clip¶
Bases:
hdrCore.processing.Processing
TODO - Documentation de la classe clip
- compute(img, **kwargs)¶
clip image color data
- Args:
img (hdrCore.image.Image, Required): input image image kwargs(dict, Optionnal) : parameters
‘min’, ‘max’ : float, float
- Returns:
(hdrCore.image.Image): output image
- class hdrCore.processing.colorEditor¶
Bases:
hdrCore.processing.Processing
TODO - Documentation de la classe colorEditor
- compute(img, **kwargs)¶
color editor operator
- Args:
img (hdrCore.image.Image, Required): input image kwargs (dict, Optionnal): parameters
- default value= { ‘selection’: {‘lightness’: (0,100),’chroma’: (0,100),’hue’:(0,360)},
‘tolerance’: 0.1, ‘edit’: {‘hue’:0.0,’exposure’:0.0,’contrast’:0.0,’saturation’:0.0}, ‘mask’: False}
- Returns:
(hdrCore.image.Image): output image
- class hdrCore.processing.contrast¶
Bases:
hdrCore.processing.Processing
TODO - Documentation de la classe contrast
- compute(img, **kwargs)¶
contrast operator.
- Args:
img (hdrCore.image.Image, Required): input image kwargs (dict, Optionnal) : parameters
“contrast”: float
default value: { “contrast”: 0 }
- Returns:
(hdrCore.image.Image, Required): output image
- class hdrCore.processing.exposure¶
Bases:
hdrCore.processing.Processing
TODO - Documentation de la classe exposure
- auto(img)¶
TODO - Documentation de la méthode auto
- Args:
- img: TODO
TODO
- Returns:
- TODO
TODO
- compute(img, **kwargs)¶
exposure operator.
- Args:
img (hdrCore.image.Image, Required) : input image kwargs( dict, Optionnal) : parameters
‘EV’: float
default value: {‘EV’: 0.0}
- Returns:
(hdrCore.image.Image): output image
- class hdrCore.processing.geometry¶
Bases:
hdrCore.processing.Processing
TODO - Documentation de la classe geometry
- compute(img, **kwargs)¶
geometry operator.
- Args:
img (hdrCore.image.Image,Required): input image kwargs (dict,Optionnal) : parameters
‘ratio’: (int,int) ‘up’: int ‘rotation’: float
default value = { ‘ratio’: (16,9), ‘up’: 0,’rotation’: 0.0}
- Returns:
(hdrCore.image.Image,Required): input image
- class hdrCore.processing.lightnessMask¶
Bases:
hdrCore.processing.Processing
TODO - Documentation de la classe lightnessMask
- compute(img, **kwargs)¶
Lightness Mask operator.
- Args:
- img: hdrCore.image.Image
Required : hdr image
- kwargs: dict
Optionnal : parameters TODO
- Returns:
- TODO
TODO
- class hdrCore.processing.resize¶
Bases:
hdrCore.processing.Processing
TODO - Documentation de la classe Resize image processing
- compute(img, size=(None, None), anti_aliasing=False)¶
Resize operator.
- Args:
- img: hdrCore.image.Image
Required : hdr image
- size: TODO
TODO
- anti_aliasing: boolean
TODO
- Returns:
- TODO
TODO
- class hdrCore.processing.saturation¶
Bases:
hdrCore.processing.Processing
TODO - Documentation de la classe saturation
- compute(img, **kwargs)¶
saturation operator
- Args:
img (hdrCore.image.Image,Required): input image kwargs (dict, Optionnal) : parameters
‘saturation’: float ‘method’: str
‘method’ parameter must be gamma
default value: {‘saturation’: 0.0, ‘method’: ‘gamma’}
- Returns:
(hdrCore.image.Image): output image
- class hdrCore.processing.tmo_cctf¶
Bases:
hdrCore.processing.Processing
TODO - Documentation de la classe tmo_cctf
- compute(img, **kwargs)¶
CCTF tone mapping operator
- Args:
- img: hdrCore.image.Image
Required : hdr image
- kwargs: dict
Optionnal : parameters ‘function’ : ‘sRGB’ str
- Returns:
- TODO
TODO
- hdrCore.processing.Lab_to_XYZ(Lab)¶
convert pixel array from Lab to XYZ colorspace.
- Args:
Lab (numpy.ndarray, Required): array of pixels in Lab colorspace.
- Returns:
(numpy.ndarray): array of pixels in XYZ colorspace.
- hdrCore.processing.Lab_to_sRGB(Lab, apply_cctf_encoding=True, clip=False)¶
convert pixel array from Lab to sRGB colorspace.
- Args:
Lab (numpy.ndarray, Required): array of pixels in Lab colorspace. apply_cctf_encoding (boolean, Optionnal): True to encode with sRGB cctf encoding function. clip (boolean, Optionnal): False do not clip values beyond colorspace limits (RGB values < 0 or RGB values > 1).
- Returns:
(numpy.ndarray): array of pixels in sRGB colorspace.
- hdrCore.processing.Lch_to_sRGB(Lch, apply_cctf_encoding=True, clip=False)¶
convert pixel array from Lch to sRGB colorspace.
- Args:
Lch (numpy.ndarray, Required): array of pixels in Lab colorspace. apply_cctf_encoding (boolean, Optionnal): True to encode with sRGB cctf encoding function. clip (boolean, Optionnal): False do not clip values beyond colorspace limits (RGB values < 0 or RGB values > 1).
- Returns:
(numpy.ndarray): array of pixels in sRGB colorspace.
- hdrCore.processing.XYZ_to_Lab(XYZ)¶
convert pixel array from Lab to Lab colorspace.
- Args:
XYZ (numpy.ndarray, Required): array of pixels in Lab colorspace.
- Returns:
(numpy.ndarray): array of pixels in Lab colorspace.
- hdrCore.processing.XYZ_to_sRGB(XYZ, apply_cctf_encoding=True)¶
convert pixel array from XYZ to sRGB colorspace.
- Args:
XYZ (numpy.ndarray, Required): array of pixels in XYZ colorspace. apply_cctf_encoding (boolean, Optionnal): True to encode with sRGB cctf encoding function.
- Returns:
(numpy.ndarray): array of pixels in sRGB colorspace.
- hdrCore.processing.sRGB_to_Lab(RGB, apply_cctf_decoding=True)¶
convert pixel array from sRGB to Lab colorspace.
- Args:
RGB (numpy.ndarray, Required): array of pixels in RGB colorspace. apply_cctf_decoding (boolean, Optionnal): True to encode with sRGB cctf decoding function.
- Returns:
(numpy.ndarray): array of pixels in sRGB colorspace.
- hdrCore.processing.sRGB_to_XYZ(RGB, apply_cctf_decoding=True)¶
convert pixel array from sRGB to XYZ colorspace.
- Args:
RGB (numpy.ndarray, Required): array of pixels in sRGB colorspace. apply_cctf_decoding (boolean, Optionnal): True to encode with sRGB cctf decoding function.
- Returns:
(numpy.ndarray): array of pixels in XYZ colorspace.
hdrCore.quality module¶
package hdrCore consists of the core classes for HDR imaging: (1) classes: class imageType
class channel class Image class ColorSpace class Histogram
class: class metadata
- processing functions and classes:
def XYZ_to_sRGB(XYZ,apply_cctf_encoding=True): def sRGB_to_XYZ(RGB,apply_cctf_decoding=True): def Lab_to_XYZ(Lab) def XYZ_to_Lab(XYZ) def Lab_to_sRGB(Lab, apply_cctf_encoding=True, clip = False) def sRGB_to_Lab(RGB, apply_cctf_decoding=True) def Lch_to_sRGB(Lch,apply_cctf_encoding=True, clip=False) class Processing(object) class tmo_cctf(Processing) class exposure(Processing) class contrast(Processing) class clip(Processing) class ColorSpaceTransform(Processing) class resize(Processing) class Ycurve(Processing) class saturation(Processing) class lightnessMask(Processing) class geometry(Processing)
- processing nodes that encapsulate processing objects in process-pipe:
class ProcessNode(object)
- process-pipe that defines the pipeline of processing:
class ProcessPipe(object)
- some utils functions:
def filenamesplit(filename) def filterlistdir(path,extList) def ndarray2vector(nda) def NPlinearWeightMask(x,xMin,xMax,xTolerance) def croppRotated(h,w,alpha)
HDRdisplay model
hdrCore.utils module¶
package hdrCore consists of the core classes for HDR imaging: (1) classes: class imageType
class channel class Image class ColorSpace class Histogram
class: class metadata
- processing functions and classes:
def XYZ_to_sRGB(XYZ,apply_cctf_encoding=True): def sRGB_to_XYZ(RGB,apply_cctf_decoding=True): def Lab_to_XYZ(Lab) def XYZ_to_Lab(XYZ) def Lab_to_sRGB(Lab, apply_cctf_encoding=True, clip = False) def sRGB_to_Lab(RGB, apply_cctf_decoding=True) def Lch_to_sRGB(Lch,apply_cctf_encoding=True, clip=False) class Processing(object) class tmo_cctf(Processing) class exposure(Processing) class contrast(Processing) class clip(Processing) class ColorSpaceTransform(Processing) class resize(Processing) class Ycurve(Processing) class saturation(Processing) class lightnessMask(Processing) class geometry(Processing)
- processing nodes that encapsulate processing objects in process-pipe:
class ProcessNode(object)
- process-pipe that defines the pipeline of processing:
class ProcessPipe(object)
- some utils functions:
def filenamesplit(filename) def filterlistdir(path,extList) def ndarray2vector(nda) def NPlinearWeightMask(x,xMin,xMax,xTolerance) def croppRotated(h,w,alpha)
HDRdisplay model
- hdrCore.utils.NPlinearWeightMask(x, xMin, xMax, xTolerance)¶
TODO - Documentation de la méthode NPlinearWeightMask
- Args:
- x: TODO
TODO
- xMin: TODO
TODO
- xMax: TODO
TODO
- xTolerance: TODO
TODO
- Returns:
- TODO
TODO
- hdrCore.utils.croppRotated(h, w, alpha)¶
TODO - Documentation de la méthode croppRotated
- Args:
- h: TODO
TODO
- w: TODO
TODO
- alpha: TODO
TODO
- Returns:
- TODO
TODO
- hdrCore.utils.filenamesplit(filename)¶
retrieve path, name and extension from a filename.
- Args:
filename (str,Required): filename
- Returns:
(str,str,str): (path,name,ext)
- Example:
filenamesplit(“./dir0/dir1/name.ext”) returns (“./dir0/dir1/”,”name”,”ext”)
- hdrCore.utils.filterlistdir(path, extList)¶
return the files in path that end by one of the string in extList
- Args:
path (str, Required): path to directory extList (tuple of str, Required)
- Returns:
([str])or (tuple of str) or (str): list, tuple or single str
- Example:
filterlistdir(‘./images/’, (‘.jpg’, ‘.JPG’, ‘.png’))
- hdrCore.utils.ndarray2vector(nda)¶
transform 2D array of color data to vector
- Args:
nda (numpy.ndarray, Required): numpy array (2D of scalar or vector)
- Returns:
(numpy.ndarray, Required): numpy array (1D of scalar or vector)