tensorflow::
    
   ops::
    
   DrawBoundingBoxesV2
  
  
   #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
   
    (100, 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. - colors: 2-D. A list of RGBA colors to cycle through for the boxes.
 
Returns:
- 
     
Output: 4-D with the same shape asimages. The batch of input images with bounding boxes drawn on the images. 
     Constructors and Destructors | 
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       DrawBoundingBoxesV2
      
      (const ::
      
       tensorflow::Scope
      
      & scope, ::
      
       tensorflow::Input
      
      images, ::
      
       tensorflow::Input
      
      boxes, ::
      
       tensorflow::Input
      
      colors)
     
      | 
   
     Public attributes | 
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       operation
      
     
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       output
      
     
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     Public functions | 
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       node
      
      () const
     
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       ::tensorflow::Node *
      
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       operator::tensorflow::Input
      
      () const
     
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       operator::tensorflow::Output
      
      () const
     
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Public attributes
Public functions
DrawBoundingBoxesV2
DrawBoundingBoxesV2( const ::tensorflow::Scope & scope, ::tensorflow::Input images, ::tensorflow::Input boxes, ::tensorflow::Input colors )
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const