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aliran tensor:: operasi:: DekodeBmp
#include <image_ops.h>
Decode frame pertama gambar yang dikodekan BMP ke tensor uint8.
Ringkasan
channels
attr menunjukkan jumlah saluran warna yang diinginkan untuk gambar yang didekodekan.
Nilai yang diterima adalah:
- 0: Gunakan jumlah saluran dalam gambar berkode BMP.
- 3: mengeluarkan gambar RGB.
- 4: menampilkan gambar RGBA.
Argumen:
- ruang lingkup: Objek Lingkup
- isi: 0-D. Gambar berkode BMP.
Pengembalian:
-
Output
: 3-D dengan bentuk [height, width, channels]
. Urutan RGB
Atribut publik
Fungsi publik
simpul
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Keluaran
operator::tensorflow::Output() const
Fungsi statis publik
Saluran
Attrs Channels(
int64 x
)
Kecuali dinyatakan lain, konten di halaman ini dilisensikan berdasarkan Lisensi Creative Commons Attribution 4.0, sedangkan contoh kode dilisensikan berdasarkan Lisensi Apache 2.0. Untuk mengetahui informasi selengkapnya, lihat Kebijakan Situs Google Developers. Java adalah merek dagang terdaftar dari Oracle dan/atau afiliasinya.
Terakhir diperbarui pada 2025-07-27 UTC.
[null,null,["Terakhir diperbarui pada 2025-07-27 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/r2.2/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/r2.2/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/r2.2/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.2/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/r2.2/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` contents, const `[DecodeBmp::Attrs](/versions/r2.2/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/r2.2/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [operation](#classtensorflow_1_1ops_1_1_decode_bmp_1a04ba19d38081ad21624b98dfbe82f820) | [Operation](/versions/r2.2/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/r2.2/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/r2.2/api_docs/cc/struct/tensorflow/ops/decode-bmp/attrs) | Optional attribute setters for [DecodeBmp](/versions/r2.2/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```"]]