LayerAndMaskSection

LayerAndMaskSection

Overview

LayerAndMaskSection is a class in Aspose.Psd FOSS for Python.

Represents the PSD/PSB Layer and Mask Information section and its

raw-preserved save state.

This class declares 5 methods for LayerAndMaskSection objects in Python programs. Available methods include: __init__, empty, load, save, with_layers. Public members are accessible to any Python application after installing the Aspose.Psd FOSS for Python package. Properties: has_layer_collection_mutated, layer_channel_image_data_raw, layer_count_raw, layer_global_mask_and_tail_raw, layers, raw_section_bytes.

Properties

NameTypeAccessDescription
raw_section_bytesbytesReadGets the raw section payload without the outer length field.
layer_channel_image_data_rawbytesReadGets the raw layer channel image data payload after layer records.
layer_global_mask_and_tail_rawbytesReadGets the raw global mask info and trailing section bytes.
layer_count_rawintReadGets the original signed layer count so transparency-protected layers
    can preserve sign. |

| layers | List[Layer] | Read | Gets the parsed layer records. | | has_layer_collection_mutated | bool | Read | Gets whether the public layer collection was replaced. |

Methods

SignatureDescription
__init__(raw_section_bytes: bytes, layer_channel_image_data_raw: bytes, layer_global_mask_and_tail_raw: bytes, layer_count_raw: int, layers: List[Layer], has_layer_collection_mutated: bool)Initializes a new instance of the :class:LayerAndMaskSection class.
empty() → "LayerAndMaskSection"Gets an empty Layer and Mask Information section.
load(reader: BigEndianReader, is_large_document: bool) → "LayerAndMaskSection"Calls load(reader, is_large_document) on this LayerAndMaskSection instance.
save(writer: BigEndianWriter, is_large_document: bool)Calls save(writer, is_large_document) on this LayerAndMaskSection instance.
with_layers(layers: List[Layer]) → "LayerAndMaskSection"Creates a section copy with a replaced layer collection and marks it
    for rewriting on save. |

See Also