Draw bounding boxes on a batch of images.
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 `(100, 50)` (in (x,y) coordinates).
Parts of the bounding box may fall outside the image.
Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
Inherited Methods
boolean |
equals(Object arg0)
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final Class<?> |
getClass()
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int |
hashCode()
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final void |
notify()
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final void |
notifyAll()
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String |
toString()
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final void |
wait(long arg0, int arg1)
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final void |
wait(long arg0)
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final void |
wait()
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abstract ExecutionEnvironment |
env()
Return the execution environment this op was created in.
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abstract Operation |
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Public Methods
public Output<T> asOutput ()
Returns the symbolic handle of the tensor.
Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.
public static DrawBoundingBoxes<T> create (Scope scope, Operand<T> images, Operand<TFloat32> boxes, Operand<TFloat32> colors)
Factory method to create a class wrapping a new DrawBoundingBoxes operation.
Parameters
scope | current scope |
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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. |
colors | 2-D. A list of RGBA colors to cycle through for the boxes. |
Returns
- a new instance of DrawBoundingBoxes
public Output<T> output ()
4-D with the same shape as `images`. The batch of input images with bounding boxes drawn on the images.