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텐서플로우:: 작전:: 디코드Jpeg:: 속성
#include <image_ops.h> DecodeJpeg 에 대한 선택적 속성 설정자입니다.
요약
공개 속성
허용_분수_
float tensorflow::ops::DecodeJpeg::Attrs::acceptable_fraction_ = 1.0f
채널_
int64 tensorflow::ops::DecodeJpeg::Attrs::channels_ = 0
dct_method_
StringPiece tensorflow::ops::DecodeJpeg::Attrs::dct_method_ = ""
멋진_업스케일링_
bool tensorflow::ops::DecodeJpeg::Attrs::fancy_upscaling_ = true
비율_
int64 tensorflow::ops::DecodeJpeg::Attrs::ratio_ = 1
try_recover_truncated_
bool tensorflow::ops::DecodeJpeg::Attrs::try_recover_truncated_ = false
공공 기능
허용 가능한 분수
TF_MUST_USE_RESULT Attrs tensorflow::ops::DecodeJpeg::Attrs::AcceptableFraction(
float x
)
잘린 입력이 허용되기 전에 필요한 최소 행 비율입니다.
기본값은 1입니다.
채널
TF_MUST_USE_RESULT Attrs tensorflow::ops::DecodeJpeg::Attrs::Channels(
int64 x
)
디코딩된 이미지의 색상 채널 수입니다.
기본값은 0입니다.
Dct방법
TF_MUST_USE_RESULT Attrs tensorflow::ops::DecodeJpeg::Attrs::DctMethod(
StringPiece x
)
압축 해제에 사용되는 알고리즘에 대한 힌트를 지정하는 문자열입니다.
기본값은 시스템별 기본값에 매핑되는 ""입니다. 현재 유효한 값은 ["INTEGER_FAST", "INTEGER_ACCURATE"]입니다. 힌트는 무시될 수 있습니다(예: 내부 jpeg 라이브러리가 해당 특정 옵션이 없는 버전으로 변경됩니다.)
기본값은 ""입니다.
팬시업스케일링
TF_MUST_USE_RESULT Attrs tensorflow::ops::DecodeJpeg::Attrs::FancyUpscaling(
bool x
)
true인 경우 크로마 평면의 더 느리지만 더 나은 스케일링을 사용합니다(yuv420/422에만 해당).
기본값은 true입니다.
비율
TF_MUST_USE_RESULT Attrs tensorflow::ops::DecodeJpeg::Attrs::Ratio(
int64 x
)
복구 시도잘림됨
TF_MUST_USE_RESULT Attrs tensorflow::ops::DecodeJpeg::Attrs::TryRecoverTruncated(
bool x
)
true인 경우 잘린 입력에서 이미지를 복구하려고 시도합니다.
기본값은 거짓
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최종 업데이트: 2025-07-27(UTC)
[null,null,["최종 업데이트: 2025-07-27(UTC)"],[],[],null,["# tensorflow::ops::DecodeJpeg::Attrs Struct Reference\n\ntensorflow::ops::DecodeJpeg::Attrs\n==================================\n\n`#include \u003cimage_ops.h\u003e`\n\nOptional attribute setters for [DecodeJpeg](/versions/r2.3/api_docs/cc/class/tensorflow/ops/decode-jpeg#classtensorflow_1_1ops_1_1_decode_jpeg).\n\nSummary\n-------\n\n| ### Public attributes ||\n|---------------------------------------------------------------------------------------------------------------------------|---------------|\n| [acceptable_fraction_](#structtensorflow_1_1ops_1_1_decode_jpeg_1_1_attrs_1a0b10d4d030a8ca14ac7570161190c83a)` = 1.0f` | `float` |\n| [channels_](#structtensorflow_1_1ops_1_1_decode_jpeg_1_1_attrs_1a18e020f1e5ff8cfbd4d78478415d1ddb)` = 0` | `int64` |\n| [dct_method_](#structtensorflow_1_1ops_1_1_decode_jpeg_1_1_attrs_1a56dbd1f5b3b6ad2f2f6109d261a1b2c0)` = \"\"` | `StringPiece` |\n| [fancy_upscaling_](#structtensorflow_1_1ops_1_1_decode_jpeg_1_1_attrs_1a8e1e67750ce05d148e582c0da4a2279e)` = true` | `bool` |\n| [ratio_](#structtensorflow_1_1ops_1_1_decode_jpeg_1_1_attrs_1a9e510e74b3307b51218f9ba73bb88299)` = 1` | `int64` |\n| [try_recover_truncated_](#structtensorflow_1_1ops_1_1_decode_jpeg_1_1_attrs_1aa2cf39a88d8a81dcb7db8e5a5e0d370e)` = false` | `bool` |\n\n| ### Public functions ||\n|------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [AcceptableFraction](#structtensorflow_1_1ops_1_1_decode_jpeg_1_1_attrs_1ad1f15f47beae81c3372f7be5fc7b66d2)`(float x)` | `TF_MUST_USE_RESULT `[Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/decode-jpeg/attrs#structtensorflow_1_1ops_1_1_decode_jpeg_1_1_attrs) The minimum required fraction of lines before a truncated input is accepted. |\n| [Channels](#structtensorflow_1_1ops_1_1_decode_jpeg_1_1_attrs_1a0548d6add8de1fae308c6043ae78bc4f)`(int64 x)` | `TF_MUST_USE_RESULT `[Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/decode-jpeg/attrs#structtensorflow_1_1ops_1_1_decode_jpeg_1_1_attrs) Number of color channels for the decoded image. |\n| [DctMethod](#structtensorflow_1_1ops_1_1_decode_jpeg_1_1_attrs_1a6e0f2e6e3603c3b5a4f87f99e01fb7f4)`(StringPiece x)` | `TF_MUST_USE_RESULT `[Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/decode-jpeg/attrs#structtensorflow_1_1ops_1_1_decode_jpeg_1_1_attrs) string specifying a hint about the algorithm used for decompression. |\n| [FancyUpscaling](#structtensorflow_1_1ops_1_1_decode_jpeg_1_1_attrs_1a0ae0fb6313dea00cfcaa043461f9435f)`(bool x)` | `TF_MUST_USE_RESULT `[Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/decode-jpeg/attrs#structtensorflow_1_1ops_1_1_decode_jpeg_1_1_attrs) If true use a slower but nicer upscaling of the chroma planes (yuv420/422 only). |\n| [Ratio](#structtensorflow_1_1ops_1_1_decode_jpeg_1_1_attrs_1abfd175cdcf500dba69dc39803e8fdebf)`(int64 x)` | `TF_MUST_USE_RESULT `[Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/decode-jpeg/attrs#structtensorflow_1_1ops_1_1_decode_jpeg_1_1_attrs) Downscaling ratio. |\n| [TryRecoverTruncated](#structtensorflow_1_1ops_1_1_decode_jpeg_1_1_attrs_1a91511d57ca206a8096ab617a176fca3c)`(bool x)` | `TF_MUST_USE_RESULT `[Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/decode-jpeg/attrs#structtensorflow_1_1ops_1_1_decode_jpeg_1_1_attrs) If true try to recover an image from truncated input. |\n\nPublic attributes\n-----------------\n\n### acceptable_fraction_\n\n```scdoc\nfloat tensorflow::ops::DecodeJpeg::Attrs::acceptable_fraction_ = 1.0f\n``` \n\n### channels_\n\n```scdoc\nint64 tensorflow::ops::DecodeJpeg::Attrs::channels_ = 0\n``` \n\n### dct_method_\n\n```scdoc\nStringPiece tensorflow::ops::DecodeJpeg::Attrs::dct_method_ = \"\"\n``` \n\n### fancy_upscaling_\n\n```scdoc\nbool tensorflow::ops::DecodeJpeg::Attrs::fancy_upscaling_ = true\n``` \n\n### ratio_\n\n```scdoc\nint64 tensorflow::ops::DecodeJpeg::Attrs::ratio_ = 1\n``` \n\n### try_recover_truncated_\n\n```scdoc\nbool tensorflow::ops::DecodeJpeg::Attrs::try_recover_truncated_ = false\n``` \n\nPublic functions\n----------------\n\n### AcceptableFraction\n\n```scdoc\nTF_MUST_USE_RESULT Attrs tensorflow::ops::DecodeJpeg::Attrs::AcceptableFraction(\n float x\n)\n``` \nThe minimum required fraction of lines before a truncated input is accepted.\n\nDefaults to 1 \n\n### Channels\n\n```scdoc\nTF_MUST_USE_RESULT Attrs tensorflow::ops::DecodeJpeg::Attrs::Channels(\n int64 x\n)\n``` \nNumber of color channels for the decoded image.\n\nDefaults to 0 \n\n### DctMethod\n\n```scdoc\nTF_MUST_USE_RESULT Attrs tensorflow::ops::DecodeJpeg::Attrs::DctMethod(\n StringPiece x\n)\n``` \nstring specifying a hint about the algorithm used for decompression.\n\nDefaults to \"\" which maps to a system-specific default. Currently valid values are \\[\"INTEGER_FAST\", \"INTEGER_ACCURATE\"\\]. The hint may be ignored (e.g., the internal jpeg library changes to a version that does not have that specific option.)\n\nDefaults to \"\" \n\n### FancyUpscaling\n\n```scdoc\nTF_MUST_USE_RESULT Attrs tensorflow::ops::DecodeJpeg::Attrs::FancyUpscaling(\n bool x\n)\n``` \nIf true use a slower but nicer upscaling of the chroma planes (yuv420/422 only).\n\nDefaults to true \n\n### Ratio\n\n```scdoc\nTF_MUST_USE_RESULT Attrs tensorflow::ops::DecodeJpeg::Attrs::Ratio(\n int64 x\n)\n``` \nDownscaling ratio.\n\nDefaults to 1 \n\n### TryRecoverTruncated\n\n```scdoc\nTF_MUST_USE_RESULT Attrs tensorflow::ops::DecodeJpeg::Attrs::TryRecoverTruncated(\n bool x\n)\n``` \nIf true try to recover an image from truncated input.\n\nDefaults to false"]]
