Thanks for tuning in to Google I/O. View all sessions on demandWatch on demand


Samples an image at user defined coordinates.

The warp maps target to source. In the following, A1 to An are optional batch dimensions.

image: A tensor of shape [B, H_i, W_i, C], where B is the batch size, H_i the height of the image, W_i the width of the image, and C the number of channels of the image. warp: A tensor of shape [B, A_1, ..., A_n, 2] containing the x and y coordinates at which sampling will be performed. The last dimension must be 2, representing the (x, y) coordinate where x is the index for width and y is the index for height.
resampling_type Resampling mode. Supported values are ResamplingType.NEAREST and ResamplingType.BILINEAR. border_type: Border mode. Supported values are BorderType.ZERO and BorderType.DUPLICATE. pixel_type: Pixel mode. Supported values are PixelType.INTEGER and PixelType.HALF_INTEGER. name: A name for this op. Defaults to "sample".

Tensor of sampled values from image. The output tensor shape is [B, A_1, ..., A_n, C].

ValueError If image has rank != 4. If warp has rank < 2 or its last dimension is not 2. If image and warp batch dimension does not match.