def ProcessImage(image_crop, pixel_range=0):
x = uniform(-pixel_range, pixel_range)
y = uniform(-pixel_range, pixel_range)
image_trans = ImageProcProxy.translateImage(image_crop, x, y)
#ImageProcProxy.showImageBGR(image_trans)
image_gaus = ImageProcProxy.applyGaussian(
image_trans, params['filter']['gaussian_radius'],
params['filter']['gaussian_sigma'])
image_crop_int = ImageProcProxy.convertBGR2INT(image_crop)
image_gaus_int = ImageProcProxy.convertBGR2INT(image_gaus)
image_crop_vec = ImageProcProxy.flattenImage(image_crop_int)
image_gaus_vec = ImageProcProxy.flattenImage(image_gaus_int)
input_image = ImageProcProxy.concatImages(image_crop_vec, image_gaus_vec)
return input_image
def ProcessImage(image_crop, pixel_range=0):
x = uniform(-pixel_range, pixel_range)
y = uniform(-pixel_range, pixel_range)
image_trans = ImageProcProxy.translateImage(image_crop, x, y)
#ImageProcProxy.showImageBGR(image_trans)
image_gaus = ImageProcProxy.applyGaussian(image_trans,
params['filter']['gaussian_radius'],
params['filter']['gaussian_sigma'])
image_crop_int = ImageProcProxy.convertBGR2INT(image_crop)
image_gaus_int = ImageProcProxy.convertBGR2INT(image_gaus)
image_crop_vec = ImageProcProxy.flattenImage(image_crop_int)
image_gaus_vec = ImageProcProxy.flattenImage(image_gaus_int)
input_image = ImageProcProxy.concatImages(image_crop_vec, image_gaus_vec)
return input_image
