Stay organized with collections
Save and categorize content based on your preferences.
tensorflow::ops::DrawBoundingBoxes
#include <image_ops.h>
Draw bounding boxes on a batch of images.
Summary
Outputs a copy of images but draws on top of the pixels zero or more bounding boxes specified by the locations in boxes. The coordinates of the each bounding box in boxes are encoded as [y_min, x_min, y_max, x_max]. The bounding box coordinates are floats in [0.0, 1.0] relative to the width and height of the underlying image.
For example, if an image is 100 x 200 pixels (height x width) and the bounding box is [0.1, 0.2, 0.5, 0.9], the upper-left and bottom-right coordinates of the bounding box will be (40, 10) to (180, 50) (in (x,y) coordinates).
Parts of the bounding box may fall outside the image.
Args:
- scope: A Scope object
- images: 4-D with shape
[batch, height, width, depth]. A batch of images.
- boxes: 3-D with shape
[batch, num_bounding_boxes, 4] containing bounding boxes.
Returns:
Output: 4-D with the same shape as images. The batch of input images with bounding boxes drawn on the images.
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 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[],[],null,["# tensorflow::ops::DrawBoundingBoxes Class Reference\n\ntensorflow::ops::DrawBoundingBoxes\n==================================\n\n`#include \u003cimage_ops.h\u003e`\n\nDraw bounding boxes on a batch of images.\n\nSummary\n-------\n\nOutputs a copy of `images` but draws on top of the pixels zero or more bounding boxes specified by the locations in `boxes`. The coordinates of the each bounding box in `boxes` are encoded as `[y_min, x_min, y_max, x_max]`. The bounding box coordinates are floats in `[0.0, 1.0]` relative to the width and height of the underlying image.\n\nFor example, if an image is 100 x 200 pixels (height x width) and the bounding box is `[0.1, 0.2, 0.5, 0.9]`, the upper-left and bottom-right coordinates of the bounding box will be `(40, 10)` to `(180, 50)` (in (x,y) coordinates).\n\nParts of the bounding box may fall outside the image.\n\nArgs:\n\n- scope: A [Scope](/versions/r2.14/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- images: 4-D with shape `[batch, height, width, depth]`. A batch of images.\n- boxes: 3-D with shape `[batch, num_bounding_boxes, 4]` containing bounding boxes.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.14/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): 4-D with the same shape as `images`. The batch of input images with bounding boxes drawn on the images.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [DrawBoundingBoxes](#classtensorflow_1_1ops_1_1_draw_bounding_boxes_1a36778a64785d4874761fc8cd75c7963d)`(const ::`[tensorflow::Scope](/versions/r2.14/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` images, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` boxes)` ||\n\n| ### Public attributes ||\n|-------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_draw_bounding_boxes_1ade5996b5c08a78404427015175077267) | [Operation](/versions/r2.14/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_draw_bounding_boxes_1aefea4317485f5bf21a230bb2c5f1360a) | `::`[tensorflow::Output](/versions/r2.14/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|-------------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_draw_bounding_boxes_1a5e8d732e824b4d741105479608cc4a4b)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_draw_bounding_boxes_1a79b868abb859e248316d87c58807e6f8)`() const ` | |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_draw_bounding_boxes_1a9c857ad52358b4df98f879d531c8d33d)`() 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### DrawBoundingBoxes\n\n```gdscript\n DrawBoundingBoxes(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input images,\n ::tensorflow::Input boxes\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```"]]
