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tensoreflusso:: ops:: DecodificaBmp
#include <image_ops.h> Decodifica il primo fotogramma di un'immagine codificata BMP in un tensore uint8.
Riepilogo
I channels attr indicano il numero desiderato di canali di colore per l'immagine decodificata.
I valori accettati sono:
- 0: utilizza il numero di canali nell'immagine con codifica BMP.
- 3: emette un'immagine RGB.
- 4: emette un'immagine RGBA.
Argomenti:
- scope: un oggetto Scope
- contenuto: 0-D. L'immagine con codifica BMP.
Resi:
-
Output : 3-D con forma [height, width, channels] . Ordine RGB
Funzioni pubbliche statiche |
|---|
Channels (int64 x) | |
Attributi pubblici
Funzioni pubbliche
nodo
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operatore::tensorflow::Output
operator::tensorflow::Output() const
Funzioni pubbliche statiche
Canali
Attrs Channels(
int64 x
)
Salvo quando diversamente specificato, i contenuti di questa pagina sono concessi in base alla licenza Creative Commons Attribution 4.0, mentre gli esempi di codice sono concessi in base alla licenza Apache 2.0. Per ulteriori dettagli, consulta le norme del sito di Google Developers. Java è un marchio registrato di Oracle e/o delle sue consociate.
Ultimo aggiornamento 2025-07-26 UTC.
[null,null,["Ultimo aggiornamento 2025-07-26 UTC."],[],[],null,["# tensorflow::ops::DecodeBmp Class Reference\n\ntensorflow::ops::DecodeBmp\n==========================\n\n`#include \u003cimage_ops.h\u003e`\n\nDecode the first frame of a BMP-encoded image to a uint8 tensor.\n\nSummary\n-------\n\nThe attr `channels` indicates the desired number of color channels for the decoded image.\n\nAccepted values are:\n\n\n- 0: Use the number of channels in the BMP-encoded image.\n- 3: output an RGB image.\n- 4: output an RGBA image.\n\n\u003cbr /\u003e\n\nArguments:\n\n- scope: A [Scope](/versions/r2.3/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- contents: 0-D. The BMP-encoded image.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.3/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): 3-D with shape `[height, width, channels]`. RGB order\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [DecodeBmp](#classtensorflow_1_1ops_1_1_decode_bmp_1a855787daeff1be34d915da13f1558e54)`(const ::`[tensorflow::Scope](/versions/r2.3/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` contents)` ||\n| [DecodeBmp](#classtensorflow_1_1ops_1_1_decode_bmp_1a5d310550797ac800bdedfa5b0f952fb6)`(const ::`[tensorflow::Scope](/versions/r2.3/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` contents, const `[DecodeBmp::Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/decode-bmp/attrs#structtensorflow_1_1ops_1_1_decode_bmp_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|----------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [image](#classtensorflow_1_1ops_1_1_decode_bmp_1aea897d04b869d2e3914701e2d67a8fe4) | `::`[tensorflow::Output](/versions/r2.3/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [operation](#classtensorflow_1_1ops_1_1_decode_bmp_1a04ba19d38081ad21624b98dfbe82f820) | [Operation](/versions/r2.3/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n\n| ### Public functions ||\n|----------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_decode_bmp_1a3cd839e2c4b2c2fb8e5a1bd9a6a0601e)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_decode_bmp_1a1797102fb2ef1291fef6911ab3dce187)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_decode_bmp_1a1b3e3327c4b3957e8563a09b778d9b21)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|--------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------|\n| [Channels](#classtensorflow_1_1ops_1_1_decode_bmp_1a5b486f770e8a02c96c14c50f0c791199)`(int64 x)` | [Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/decode-bmp/attrs#structtensorflow_1_1ops_1_1_decode_bmp_1_1_attrs) |\n\n| ### Structs ||\n|--------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::DecodeBmp::Attrs](/versions/r2.3/api_docs/cc/struct/tensorflow/ops/decode-bmp/attrs) | Optional attribute setters for [DecodeBmp](/versions/r2.3/api_docs/cc/class/tensorflow/ops/decode-bmp#classtensorflow_1_1ops_1_1_decode_bmp). |\n\nPublic attributes\n-----------------\n\n### image\n\n```text\n::tensorflow::Output image\n``` \n\n### operation\n\n```text\nOperation operation\n``` \n\nPublic functions\n----------------\n\n### DecodeBmp\n\n```gdscript\n DecodeBmp(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input contents\n)\n``` \n\n### DecodeBmp\n\n```gdscript\n DecodeBmp(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input contents,\n const DecodeBmp::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### Channels\n\n```text\nAttrs Channels(\n int64 x\n)\n```"]]
