def create_blank_image_as(img):
image = vl.VglImage(img.filename, img.depth, img.ndim, img.clForceAsBuf)
image.ipl = np.asarray(img.ipl, img.ipl.dtype)
image.shape = img.shape
image.vglShape = img.vglShape
image.depth = img.depth
image.nChannels = img.nChannels
image.has_mipmap = img.has_mipmap
image.inContext = vl.VGL_BLANK_CONTEXT()
return image
""" THIS BENCHMARK TOOL EXPECTS JUST 1 ARGUMENT: ARGV[1]: PRIMARY 2D-IMAGE PATH (COLORED OR GRAYSCALE) IT WILL BE USED IN ALL KERNELS AS INPUT IMAGE THE RESULT IMAGES WILL BE SAVED AS IMG-[PROCESSNAME].JPG """ if __name__ == "__main__": vl.vglClInit() msg = "" # INPUT IMAGE img_input = vl.VglImage(sys.argv[1], None, vl.VGL_IMAGE_2D_IMAGE(), vl.IMAGE_ND_ARRAY()) vl.vglLoadImage(img_input) vl.vglClUpload(img_input) # OUTPUT IMAGE img_output = vl.create_blank_image_as(img_input) img_output.set_oclPtr( vl.get_similar_oclPtr_object(img_input) ) vl.vglAddContext(img_output, vl.VGL_CL_CONTEXT()) # STRUCTURANT ELEMENT window = vl.VglStrEl() window.constructorFromTypeNdim(vl.VGL_STREL_CROSS(), 2) inicio = t.time() vglClNdCopy(img_input, img_output) fim = t.time()
"""
CL.IMAGE OBJECTS
"""
img_in_path = sys.argv[1]
nSteps = int(sys.argv[2])
img_out_path = sys.argv[3]
print("in path", img_in_path)
print("steps", nSteps)
print("out path", img_out_path)
msg = ""
vl.vglClInit()
img_input_3d = vl.VglImage(img_in_path, None, vl.VGL_IMAGE_3D_IMAGE())
vl.vglLoadImage(img_input_3d)
vl.vglClUpload(img_input_3d)
img_output_3d = vl.create_blank_image_as(img_input_3d)
img_output_3d.set_oclPtr(vl.get_similar_oclPtr_object(img_input_3d))
vl.vglAddContext(img_output_3d, vl.VGL_CL_CONTEXT())
convolution_window_3d_3x3x3 = np.ones((3, 3, 3), np.float32) * (1 / 27)
convolution_window_3d_5x5x5 = np.ones((5, 5, 5), np.float32) * (1 / 125)
vglCl3dBlurSq3(img_input_3d, img_output_3d)
media = 0.0
for i in range(0, 5):
p = 0
if (ext.pop(0).lower() == 'jpg'):
if (img.getVglShape().getNChannels() == 4):
vl.rgba_to_rgb(img)
vl.vglSaveImage(name, img)
if __name__ == "__main__":
wrp = cl2py_CL()
"""
CL.IMAGE OBJECTS
"""
img_input = vl.VglImage("bin.pgm", vl.VGL_IMAGE_2D_IMAGE())
vl.vglLoadImage(img_input)
#if( img_input.getVglShape().getNChannels() == 3 ):
# vl.rgb_to_rgba(img_input)
vl.vglClUpload(img_input)
img_input2 = vl.VglImage("bin.pgm", vl.VGL_IMAGE_2D_IMAGE())
vl.vglLoadImage(img_input2)
#if( img_input2.getVglShape().getNChannels() == 3 ):
# vl.rgb_to_rgba(img_input2)
#img_input_3d = vl.VglImage("3d.tif", vl.VGL_IMAGE_3D_IMAGE())
#vl.vglLoadImage(img_input_3d)
#vl.vglClUpload(img_input_3d)
#cl.enqueue_nd_range_kernel(self.ocl.commandQueue, kernel_run, worksize, None)
cl.enqueue_nd_range_kernel(self.ocl.commandQueue, kernel_run,
img_output.ipl.shape, None)
vl.vglSetContext(img_output, vl.VGL_CL_CONTEXT())
"""
HERE FOLLOWS THE KERNEL CALLS
"""
if __name__ == "__main__":
wrp = cl2py_BIN_ND()
# INPUT IMAGE
img_input = vl.VglImage("bin.pgm", vl.VGL_IMAGE_2D_IMAGE(), None,
vl.IMAGE_ND_ARRAY())
vl.vglLoadImage(img_input)
vl.vglClUpload(img_input)
img_input2 = vl.VglImage("bin2.pgm", vl.VGL_IMAGE_2D_IMAGE(), None,
vl.IMAGE_ND_ARRAY())
vl.vglLoadImage(img_input2)
vl.vglClUpload(img_input2)
# OUTPUT IMAGE
img_output = vl.create_blank_image_as(img_input)
img_output.set_oclPtr(vl.get_similar_oclPtr_object(img_input))
vl.vglAddContext(img_output, vl.VGL_CL_CONTEXT())
img_out_aux = vl.get_similar_oclPtr_object(img_input)
cl.enqueue_copy(wrp.cl_ctx.queue, img_out_aux, img_output.get_oclPtr())
cl.enqueue_nd_range_kernel(self.ocl.commandQueue, kernel_run,
img_output.get_ipl().shape, None)
vl.vglSetContext(img_output, vl.VGL_CL_CONTEXT())
"""
HERE FOLLOWS THE KERNEL CALLS
"""
if __name__ == "__main__":
wrp = cl2py_ND()
# INPUT IMAGE
img_input = vl.VglImage("img-1.jpg", None, vl.VGL_IMAGE_2D_IMAGE(),
vl.IMAGE_ND_ARRAY())
vl.vglLoadImage(img_input)
vl.vglClUpload(img_input)
# OUTPUT IMAGE
img_output = vl.create_blank_image_as(img_input)
img_output.set_oclPtr(vl.get_similar_oclPtr_object(img_input))
vl.vglAddContext(img_output, vl.VGL_CL_CONTEXT())
# STRUCTURANT ELEMENT
window = vl.VglStrEl()
window.constructorFromTypeNdim(vl.VGL_STREL_CROSS(), 2)
wrp.vglClNdCopy(img_input, img_output)
vl.vglCheckContext(img_output, vl.VGL_RAM_CONTEXT())
vl.vglSaveImage("yamamoto-vglNdCopy.jpg", img_output)
if __name__ == "__main__":
"""
CL.IMAGE OBJECTS
"""
img_in_path = sys.argv[1]
nSteps = int(sys.argv[2])
img_out_path = sys.argv[3]
msg = ""
vl.vglClInit()
img_input = vl.VglImage(img_in_path, None, vl.VGL_IMAGE_2D_IMAGE())
vl.vglLoadImage(img_input)
if (img_input.getVglShape().getNChannels() == 3):
vl.rgb_to_rgba(img_input)
vl.vglClUpload(img_input)
img_output = vl.create_blank_image_as(img_input)
img_output.set_oclPtr(vl.get_similar_oclPtr_object(img_input))
vl.vglAddContext(img_output, vl.VGL_CL_CONTEXT())
convolution_window_2d_3x3 = np.array(
((1 / 16, 2 / 16, 1 / 16), (2 / 16, 4 / 16, 2 / 16),
(1 / 16, 2 / 16, 1 / 16)), np.float32)
convolution_window_2d_5x5 = np.array(
((1 / 256, 4 / 256, 6 / 256, 4 / 256, 1 / 256),
if (ext.pop(0).lower() == 'jpg'):
if (img.getVglShape().getNChannels() == 4):
vl.rgba_to_rgb(img)
vl.vglSaveImage(name, img)
if __name__ == "__main__":
wrp = cl2py_CL()
"""
CL.IMAGE OBJECTS
"""
img_input = vl.VglImage("yamamoto.jpg", None, vl.VGL_IMAGE_2D_IMAGE())
vl.vglLoadImage(img_input)
if (img_input.getVglShape().getNChannels() == 3):
vl.rgb_to_rgba(img_input)
vl.vglClUpload(img_input)
img_input2 = vl.VglImage("yamamoto-vglClThreshold.jpg", None,
vl.VGL_IMAGE_2D_IMAGE())
vl.vglLoadImage(img_input2)
if (img_input2.getVglShape().getNChannels() == 3):
vl.rgb_to_rgba(img_input2)
img_input_3d = vl.VglImage("3d.tif", None, vl.VGL_IMAGE_3D_IMAGE())
vl.vglLoadImage(img_input_3d)
vl.vglClUpload(img_input_3d)