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# tf.image.draw_bounding_boxes

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 the 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.

`images` A `Tensor`. Must be one of the following types: `float32`, `half`. 4-D with shape `[batch, height, width, depth]`. A batch of images.
`boxes` A `Tensor` of type `float32`. 3-D with shape ```[batch, num_bounding_boxes, 4]``` containing bounding boxes.
`colors` A `Tensor` of type `float32`. 2-D. A list of RGBA colors to cycle through for the boxes.
`name` A name for the operation (optional).

A `Tensor`. Has the same type as `images`.

#### Usage Example:

````# create an empty image`
`img = tf.zeros([1, 3, 3, 3])`
`# draw a box around the image`
`box = np.array([0, 0, 1, 1])`
`boxes = box.reshape([1, 1, 4])`
`# alternate between red and blue`
`colors = np.array([[1.0, 0.0, 0.0], [0.0, 0.0, 1.0]])`
`tf.image.draw_bounding_boxes(img, boxes, colors)`
`<tf.Tensor: shape=(1, 3, 3, 3), dtype=float32, numpy=`
`array([[[[1., 0., 0.],`
`        [1., 0., 0.],`
`        [1., 0., 0.]],`
`        [[1., 0., 0.],`
`        [0., 0., 0.],`
`        [1., 0., 0.]],`
`        [[1., 0., 0.],`
`        [1., 0., 0.],`
`        [1., 0., 0.]]]], dtype=float32)>`
```
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