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#include <image_ops.h> Wyodrębnij informacje o kształcie obrazu zakodowanego w formacie JPEG.
Streszczenie
Ta operacja analizuje tylko nagłówek obrazu, więc jest znacznie szybsza niż DecodeJpeg .
Argumenty:
- zakres: Obiekt Scope
- zawartość: 0-D. Obraz zakodowany w formacie JPEG.
Opcjonalne atrybuty (patrz Attrs ):
- typ_wyjścia: (Opcjonalnie) Typ wyniku operacji (int32 lub int64). Domyślnie int32.
Zwroty:
-
Output : 1-D. Kształt obrazu z formatem [wysokość, szerokość, kanały].
Publiczne funkcje statyczne |
|---|
OutputType (DataType x) | |
Atrybuty publiczne
Funkcje publiczne
Publiczne funkcje statyczne
O ile nie stwierdzono inaczej, treść tej strony jest objęta licencją Creative Commons – uznanie autorstwa 4.0, a fragmenty kodu są dostępne na licencji Apache 2.0. Szczegółowe informacje na ten temat zawierają zasady dotyczące witryny Google Developers. Java jest zastrzeżonym znakiem towarowym firmy Oracle i jej podmiotów stowarzyszonych.
Ostatnia aktualizacja: 2025-07-26 UTC.
[null,null,["Ostatnia aktualizacja: 2025-07-26 UTC."],[],[],null,["# tensorflow::ops::ExtractJpegShape Class Reference\n\ntensorflow::ops::ExtractJpegShape\n=================================\n\n`#include \u003cimage_ops.h\u003e`\n\nExtract the shape information of a JPEG-encoded image.\n\nSummary\n-------\n\nThis op only parses the image header, so it is much faster than [DecodeJpeg](/versions/r2.0/api_docs/cc/class/tensorflow/ops/decode-jpeg#classtensorflow_1_1ops_1_1_decode_jpeg).\n\nArguments:\n\n- scope: A [Scope](/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- contents: 0-D. The JPEG-encoded image.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/extract-jpeg-shape/attrs#structtensorflow_1_1ops_1_1_extract_jpeg_shape_1_1_attrs)):\n\n- output_type: (Optional) The output type of the operation (int32 or int64). Defaults to int32.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): 1-D. The image shape with format \\[height, width, channels\\].\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [ExtractJpegShape](#classtensorflow_1_1ops_1_1_extract_jpeg_shape_1a64ffa4ea238d244c52716d482a64aeb4)`(const ::`[tensorflow::Scope](/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` contents)` ||\n| [ExtractJpegShape](#classtensorflow_1_1ops_1_1_extract_jpeg_shape_1a5c8f40a8498a2351175856f88c12df3b)`(const ::`[tensorflow::Scope](/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` contents, const `[ExtractJpegShape::Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/extract-jpeg-shape/attrs#structtensorflow_1_1ops_1_1_extract_jpeg_shape_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|--------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [image_shape](#classtensorflow_1_1ops_1_1_extract_jpeg_shape_1a119b30980cd88aeb7e800ef248fe0ef9) | `::`[tensorflow::Output](/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [operation](#classtensorflow_1_1ops_1_1_extract_jpeg_shape_1a93aaacf0ede8a075a9e7cbaae6ec1851) | [Operation](/versions/r2.0/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n\n| ### Public functions ||\n|------------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_extract_jpeg_shape_1afbd0f7b3f51267da79a8d34265bc3cd3)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_extract_jpeg_shape_1a93f3c5b2f3246fb2633916edd1a51b2a)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_extract_jpeg_shape_1aa148b0c56486902349d41f68d956164d)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|---------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------|\n| [OutputType](#classtensorflow_1_1ops_1_1_extract_jpeg_shape_1a74c981eaa0a2024456fbe7c35c65b01e)`(DataType x)` | [Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/extract-jpeg-shape/attrs#structtensorflow_1_1ops_1_1_extract_jpeg_shape_1_1_attrs) |\n\n| ### Structs ||\n|-----------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::ExtractJpegShape::Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/extract-jpeg-shape/attrs) | Optional attribute setters for [ExtractJpegShape](/versions/r2.0/api_docs/cc/class/tensorflow/ops/extract-jpeg-shape#classtensorflow_1_1ops_1_1_extract_jpeg_shape). |\n\nPublic attributes\n-----------------\n\n### image_shape\n\n```scdoc\n::tensorflow::Output image_shape\n``` \n\n### operation\n\n```text\nOperation operation\n``` \n\nPublic functions\n----------------\n\n### ExtractJpegShape\n\n```gdscript\n ExtractJpegShape(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input contents\n)\n``` \n\n### ExtractJpegShape\n\n```gdscript\n ExtractJpegShape(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input contents,\n const ExtractJpegShape::Attrs & attrs\n)\n``` \n\n### node\n\n```gdscript\n::tensorflow::Node * node() const \n``` \n\n### operator::tensorflow::Input\n\n```gdscript\n operator::tensorflow::Input() const \n``` \n\n### operator::tensorflow::Output\n\n```gdscript\n operator::tensorflow::Output() const \n``` \n\nPublic static functions\n-----------------------\n\n### OutputType\n\n```text\nAttrs OutputType(\n DataType x\n)\n```"]]
