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tensor akışı:: işlem:: KodlamaJpeg
#include <image_ops.h>
Bir görüntüyü JPEG olarak kodlayın.
Özet
image
[height, width, channels]
şeklinde bir 3 boyutlu uint8 Tensördür .
Attr format
kodlanmış çıktının renk formatını geçersiz kılmak için kullanılabilir. Değerler şunlar olabilir:
- `''
: Use a default format based on the number of channels in the image. *
gri tonlamalı : Output a grayscale JPEG image. The
Görüntünün : Output a grayscale JPEG image. The
dimension of
must be 1. *
rgb : Output an RGB JPEG image. The
Görüntünün : Output an RGB JPEG image. The
dimension of
3 olmalıdır.
format
belirtilmemişse veya boş dize ise, image
kanal sayısına göre varsayılan bir format seçilir:
Argümanlar:
- kapsam: Bir Kapsam nesnesi
- görüntü: Şekilli 3 boyutlu
[height, width, channels]
.
İsteğe bağlı özellikler (bkz. Attrs
):
- format: Piksel başına resim formatı.
- kalite: Sıkıştırma kalitesi 0'dan 100'e kadar (daha yüksek, daha iyi ve daha yavaştır).
- aşamalı: Doğruysa, aşamalı olarak (kabadan inceye) yüklenen bir JPEG oluşturun.
- optimize_size: Doğruysa, kalite değişikliği olmadan boyutu azaltmak için CPU/RAM harcayın.
- chroma_downsampling: Bkz . http://en.wikipedia.org/wiki/Chroma_subsampling .
- yoğunluk_birimi:
x_density
ve y_density
belirtmek için kullanılan birim: inç başına piksel ( 'in'
) veya santimetre ( 'cm'
). - x_density: Yoğunluk birimi başına yatay piksel sayısı.
- y_density: Yoğunluk birimi başına dikey piksel sayısı.
- xmp_metadata: Boş değilse, bu XMP meta verilerini resim başlığına gömün.
İade:
-
Output
: 0-D. JPEG kodlu görüntü.
Genel özellikler
Kamu işlevleri
düğüm
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operatör::tensorflow::Çıktı
operator::tensorflow::Output() const
Genel statik işlevler
ChromaAlt Örnekleme
Attrs ChromaDownsampling(
bool x
)
YoğunlukBirimi
Attrs DensityUnit(
StringPiece x
)
Attrs Format(
StringPiece x
)
Boyutu Optimize Et
Attrs OptimizeSize(
bool x
)
Aşamalı
Attrs Progressive(
bool x
)
Kalite
Attrs Quality(
int64 x
)
XYoğunluk
Attrs XDensity(
int64 x
)
Attrs XmpMetadata(
StringPiece x
)
Yoğunluk
Attrs YDensity(
int64 x
)
Aksi belirtilmediği sürece bu sayfanın içeriği Creative Commons Atıf 4.0 Lisansı altında ve kod örnekleri Apache 2.0 Lisansı altında lisanslanmıştır. Ayrıntılı bilgi için Google Developers Site Politikaları'na göz atın. Java, Oracle ve/veya satış ortaklarının tescilli ticari markasıdır.
Son güncelleme tarihi: 2025-07-25 UTC.
[null,null,["Son güncelleme tarihi: 2025-07-25 UTC."],[],[],null,["# tensorflow::ops::EncodeJpeg Class Reference\n\ntensorflow::ops::EncodeJpeg\n===========================\n\n`#include \u003cimage_ops.h\u003e`\n\nJPEG-encode an image.\n\nSummary\n-------\n\n`image` is a 3-D uint8 [Tensor](/versions/r2.1/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor) of shape `[height, width, channels]`.\n\nThe attr `format` can be used to override the color format of the encoded output. Values can be:\n\n\n- \\`''`: Use a default format based on the number of channels in the image. *`grayscale`: `[Output](/versions/r2.1/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output)` a grayscale JPEG image. The`channels`dimension of`image`must be 1. *`rgb`: `[Output](/versions/r2.1/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output)` an RGB JPEG image. The`channels`dimension of`image\\` must be 3.\n\n\u003cbr /\u003e\n\nIf `format` is not specified or is the empty string, a default format is picked in function of the number of channels in `image`:\n\n\n- 1: [Output](/versions/r2.1/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) a grayscale image.\n- 3: [Output](/versions/r2.1/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) an RGB image.\n\n\u003cbr /\u003e\n\nArguments:\n\n- scope: A [Scope](/versions/r2.1/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- image: 3-D with shape `[height, width, channels]`.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/encode-jpeg/attrs#structtensorflow_1_1ops_1_1_encode_jpeg_1_1_attrs)):\n\n- format: Per pixel image format.\n- quality: Quality of the compression from 0 to 100 (higher is better and slower).\n- progressive: If True, create a JPEG that loads progressively (coarse to fine).\n- optimize_size: If True, spend CPU/RAM to reduce size with no quality change.\n- chroma_downsampling: See \u003chttp://en.wikipedia.org/wiki/Chroma_subsampling\u003e.\n- density_unit: Unit used to specify `x_density` and `y_density`: pixels per inch (`'in'`) or centimeter (`'cm'`).\n- x_density: Horizontal pixels per density unit.\n- y_density: Vertical pixels per density unit.\n- xmp_metadata: If not empty, embed this XMP metadata in the image header.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.1/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): 0-D. JPEG-encoded image.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [EncodeJpeg](#classtensorflow_1_1ops_1_1_encode_jpeg_1a0ca40e89fe38209cf7585aa75db5253b)`(const ::`[tensorflow::Scope](/versions/r2.1/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` image)` ||\n| [EncodeJpeg](#classtensorflow_1_1ops_1_1_encode_jpeg_1a79419850b6852e9fef1de27ccaeb02c9)`(const ::`[tensorflow::Scope](/versions/r2.1/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` image, const `[EncodeJpeg::Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/encode-jpeg/attrs#structtensorflow_1_1ops_1_1_encode_jpeg_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|-----------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [contents](#classtensorflow_1_1ops_1_1_encode_jpeg_1a993f3e068d50550dccdee87eab14bf46) | `::`[tensorflow::Output](/versions/r2.1/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [operation](#classtensorflow_1_1ops_1_1_encode_jpeg_1a4a6ed1dc754ddbe8448db94af6b97903) | [Operation](/versions/r2.1/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n\n| ### Public functions ||\n|-----------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_encode_jpeg_1a184e73345337120296e192103c1faa1b)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_encode_jpeg_1abb0cb093da0dd1edcd437b7a5a6a501e)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_encode_jpeg_1a0b066a9fb1c91437f844cb0056d6bed9)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------|\n| [ChromaDownsampling](#classtensorflow_1_1ops_1_1_encode_jpeg_1a955a859ac255af73650246c2be60efa6)`(bool x)` | [Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/encode-jpeg/attrs#structtensorflow_1_1ops_1_1_encode_jpeg_1_1_attrs) |\n| [DensityUnit](#classtensorflow_1_1ops_1_1_encode_jpeg_1aac4afe05ce09cebfce9f62e2b733243d)`(StringPiece x)` | [Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/encode-jpeg/attrs#structtensorflow_1_1ops_1_1_encode_jpeg_1_1_attrs) |\n| [Format](#classtensorflow_1_1ops_1_1_encode_jpeg_1a357af3801d374097cb3ab666711f727c)`(StringPiece x)` | [Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/encode-jpeg/attrs#structtensorflow_1_1ops_1_1_encode_jpeg_1_1_attrs) |\n| [OptimizeSize](#classtensorflow_1_1ops_1_1_encode_jpeg_1a363d3434cd5e13cfe6646e5297e55617)`(bool x)` | [Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/encode-jpeg/attrs#structtensorflow_1_1ops_1_1_encode_jpeg_1_1_attrs) |\n| [Progressive](#classtensorflow_1_1ops_1_1_encode_jpeg_1ad0bc11703455f6452e78d3e9290bfa30)`(bool x)` | [Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/encode-jpeg/attrs#structtensorflow_1_1ops_1_1_encode_jpeg_1_1_attrs) |\n| [Quality](#classtensorflow_1_1ops_1_1_encode_jpeg_1a8f272a8cab58219e417e67bad1538ee9)`(int64 x)` | [Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/encode-jpeg/attrs#structtensorflow_1_1ops_1_1_encode_jpeg_1_1_attrs) |\n| [XDensity](#classtensorflow_1_1ops_1_1_encode_jpeg_1aaf12a81368799b401dbfa78b22eb2e0f)`(int64 x)` | [Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/encode-jpeg/attrs#structtensorflow_1_1ops_1_1_encode_jpeg_1_1_attrs) |\n| [XmpMetadata](#classtensorflow_1_1ops_1_1_encode_jpeg_1aba918bc2d45a12d7eee5dab85c56badb)`(StringPiece x)` | [Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/encode-jpeg/attrs#structtensorflow_1_1ops_1_1_encode_jpeg_1_1_attrs) |\n| [YDensity](#classtensorflow_1_1ops_1_1_encode_jpeg_1a34fd19ec04cb0d7801aa09095585eb64)`(int64 x)` | [Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/encode-jpeg/attrs#structtensorflow_1_1ops_1_1_encode_jpeg_1_1_attrs) |\n\n| ### Structs ||\n|----------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::EncodeJpeg::Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/encode-jpeg/attrs) | Optional attribute setters for [EncodeJpeg](/versions/r2.1/api_docs/cc/class/tensorflow/ops/encode-jpeg#classtensorflow_1_1ops_1_1_encode_jpeg). |\n\nPublic attributes\n-----------------\n\n### contents\n\n```text\n::tensorflow::Output contents\n``` \n\n### operation\n\n```text\nOperation operation\n``` \n\nPublic functions\n----------------\n\n### EncodeJpeg\n\n```gdscript\n EncodeJpeg(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input image\n)\n``` \n\n### EncodeJpeg\n\n```gdscript\n EncodeJpeg(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input image,\n const EncodeJpeg::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### ChromaDownsampling\n\n```text\nAttrs ChromaDownsampling(\n bool x\n)\n``` \n\n### DensityUnit\n\n```text\nAttrs DensityUnit(\n StringPiece x\n)\n``` \n\n### Format\n\n```text\nAttrs Format(\n StringPiece x\n)\n``` \n\n### OptimizeSize\n\n```text\nAttrs OptimizeSize(\n bool x\n)\n``` \n\n### Progressive\n\n```text\nAttrs Progressive(\n bool x\n)\n``` \n\n### Quality\n\n```text\nAttrs Quality(\n int64 x\n)\n``` \n\n### XDensity\n\n```text\nAttrs XDensity(\n int64 x\n)\n``` \n\n### XmpMetadata\n\n```text\nAttrs XmpMetadata(\n StringPiece x\n)\n``` \n\n### YDensity\n\n```text\nAttrs YDensity(\n int64 x\n)\n```"]]