Stay organized with collections
Save and categorize content based on your preferences.
tensorflow::
ops::
HSVToRGB
#include <image_ops.h>
Convert one or more images from HSV to RGB.
Summary
Outputs a tensor of the same shape as the
images
tensor, containing the RGB value of the pixels. The output is only well defined if the value in
images
are in
[0,1]
.
See
rgb_to_hsv
for a description of the HSV encoding.
Args:
-
scope: A
Scope
object
-
images: 1-D or higher rank. HSV data to convert. Last dimension must be size 3.
Returns:
-
Output
:
images
converted to RGB.
Public attributes
Public functions
node
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.
Last updated 2021-08-16 UTC.
[null,null,["Last updated 2021-08-16 UTC."],[],[],null,["# tensorflow::ops::HSVToRGB Class Reference\n\ntensorflow::\nops::\nHSVToRGB\n===========================\n\n`\n#include \u003cimage_ops.h\u003e\n`\n\n\nConvert one or more images from HSV to RGB.\n\nSummary\n-------\n\n\nOutputs a tensor of the same shape as the\n`\nimages\n`\ntensor, containing the RGB value of the pixels. The output is only well defined if the value in\n`\nimages\n`\nare in\n`\n[0,1]\n`\n.\n\n\nSee\n`\nrgb_to_hsv\n`\nfor a description of the HSV encoding.\n\n\nArgs:\n\n- scope: A [Scope](/versions/r2.6/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- images: 1-D or higher rank. HSV data to convert. Last dimension must be size 3.\n\n\u003cbr /\u003e\n\n\nReturns:\n\n- `\n `[Output](/versions/r2.6/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output)`\n ` : `\n images\n ` converted to RGB.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| ` `[HSVToRGB](#classtensorflow_1_1ops_1_1_h_s_v_to_r_g_b_1a1409722c4dd53811c226fbb1f813bd66)` (const :: `[tensorflow::Scope](/versions/r2.6/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, :: `[tensorflow::Input](/versions/r2.6/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` images) ` ||\n\n| ### Public attributes ||\n|--------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------|\n| ` `[operation](#classtensorflow_1_1ops_1_1_h_s_v_to_r_g_b_1a5078b98877259cf977691d74045a8ce9)` ` | ` `[Operation](/versions/r2.6/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation)` ` |\n| ` `[output](#classtensorflow_1_1ops_1_1_h_s_v_to_r_g_b_1a64224dbb99ba5a7093433f3ba94c224e)` ` | ` :: `[tensorflow::Output](/versions/r2.6/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output)` ` |\n\n| ### Public functions ||\n|------------------------------------------------------------------------------------------------------------------------------|--------------------------|\n| ` `[node](#classtensorflow_1_1ops_1_1_h_s_v_to_r_g_b_1ab34a36f7af9018c8c2e2c7a372d6ad8c)` () const ` | ` ::tensorflow::Node * ` |\n| ` `[operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_h_s_v_to_r_g_b_1ada9be1d7e70b99306d4199283d565058)` () const ` | ` ` |\n| ` `[operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_h_s_v_to_r_g_b_1a710f7313104d651aa5945500ccdc9274)` () const ` | ` ` |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\n### output\n\n```text\n::tensorflow::Output output\n``` \n\nPublic functions\n----------------\n\n### HSVToRGB\n\n```gdscript\n HSVToRGB(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input images\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```"]]
