faux_image = rand( 256, 256 )
# chip( image/Matrix, ( Chip width, Chip height ), ( Overlap X, Overlap Y ) )
chipped = chip( faux_image, ( 64, 64 ), ( 0.0, 0.0 ) )where the returned array is a 3-tensor of size ( Chip width, Chip height, Chip # )
images with associated bounding boxes may also be chipped with known ObjectDetectionStats.jl bounding boxes.
faux_image = rand( 256, 256 )
boxes = [ Box( 1, 1, 22, 22 ),
Box( 55, 55, 222, 222 ),
Box( 222, 222, 264, 264 ) ]
IoU_thresh = 0.0
chips, boxassignments = chip_with_boxes( faux_image, boxes, ( 64, 64 ) ( 0.0, 0.0 ), IoU_thresh )Enjoy!