def resized_image(image, desired_width, desired_height):
"""
The most important feature of this function is that it should match
whatever objects_detection does.
"""
resized_image = pylab.zeros((desired_height, desired_width, 3),
dtype=pylab.uint8)
ogr.gpu_resize(image, resized_image)
return resized_image
def resized_image(image, desired_width, desired_height):
"""
The most important feature of this function is that it should match
whatever objects_detection does.
"""
resized_image = pylab.zeros((desired_height, desired_width, 3),
dtype=pylab.uint8)
ogr.gpu_resize(image, resized_image)
return resized_image
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Small application that will test the python module opencv_gpu_resize
"""
from __future__ import print_function
import cv2
import numpy
import opencv_gpu_resize as ogr
input_image = cv2.imread("test_image.png")
#output_width, output_height = 157, 213 # arbritrary values
output_width, output_height = 257, 171 # arbritrary values
output_image = numpy.zeros((output_height, output_width, 3), dtype=numpy.uint8)
ogr.gpu_resize(input_image, output_image)
output_filename = "test_image.gpu_resized.png"
cv2.imwrite(output_filename, output_image)
print("Created %s for visual inspection" % output_filename)
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Small application that will test the python module opencv_gpu_resize
"""
from __future__ import print_function
import cv2
import numpy
import opencv_gpu_resize as ogr
input_image = cv2.imread("test_image.png")
#output_width, output_height = 157, 213 # arbritrary values
output_width, output_height = 257, 171 # arbritrary values
output_image = numpy.zeros((output_height, output_width, 3),
dtype=numpy.uint8)
ogr.gpu_resize(input_image, output_image)
output_filename = "test_image.gpu_resized.png"
cv2.imwrite(output_filename, output_image)
print("Created %s for visual inspection" % output_filename)