def salvando2d(img, name):
# SAVING IMAGE img
ext = name.split(".")
ext.reverse()
#vl.vglClDownload(img)
vl.vglCheckContext(img, vl.VGL_RAM_CONTEXT())
if (ext.pop(0).lower() == 'jpg'):
if (img.getVglShape().getNChannels() == 4):
vl.rgba_to_rgb(img)
vl.vglSaveImage(name, img)
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()
vl.vglCheckContext(img_output, vl.VGL_RAM_CONTEXT())
vl.vglSaveImage("img-vglNdCopy.jpg", img_output)
msg = msg + "Tempo de execução do método vglClNdCopy:\t" +str( round( (fim-inicio), 9 ) ) +"s\n"
inicio = t.time()
vglClNdConvolution(img_input, img_output, window)
fim = t.time()
vl.vglCheckContext(img_output, vl.VGL_RAM_CONTEXT())
vl.vglSaveImage("img-vglNdConvolution.jpg", img_output)
msg = msg + "Tempo de execução do método vglClNdConvolution:\t" +str( round( (fim-inicio), 9 ) ) +"s\n"
inicio = t.time()
vglClNdDilate(img_input, img_output, window)
fim = t.time()
vl.vglCheckContext(img_output, vl.VGL_RAM_CONTEXT())
vl.vglSaveImage("img-vglNdDilate.jpg", img_output)
msg = msg + "Tempo de execução do método vglClNdDilate:\t" +str( round( (fim-inicio), 9 ) ) +"s\n"
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
inicio = t.time()
while (p < nSteps):
vglCl3dBlurSq3(img_input_3d, img_output_3d)
p = p + 1
fim = t.time()
media = media + (fim - inicio)
vl.vglSaveImage(img_out_path + "3d-vglCl3dBlurSq3.tif", img_output_3d)
msg = msg + "Tempo de execução do método vglCl3dBlurSq3:\t\t" + str(
round((media / 5), 9)) + "s\n"
vglCl3dConvolution(img_input_3d, img_output_3d,
convolution_window_3d_3x3x3, np.uint32(3), np.uint32(3),
np.uint32(3))
media = 0.0
for i in range(0, 5):
p = 0
inicio = t.time()
while (p < nSteps):
vglCl3dConvolution(img_input_3d, img_output_3d,
convolution_window_3d_3x3x3, np.uint32(3),
np.uint32(3), np.uint32(3))
p = p + 1
# 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)
wrp.vglClNdBinThreshold(img_input, img_output, 100)
cl.enqueue_copy(wrp.cl_ctx.queue, img_input.get_oclPtr(),
img_output.get_oclPtr())
wrp.vglClNdBinDilate(img_input, img_output, window)
cl.enqueue_copy(wrp.cl_ctx.queue, img_input.get_oclPtr(),
img_output.get_oclPtr())
wrp.vglClNdBinToGray(img_input, img_output)
vl.vglCheckContext(img_output, vl.VGL_RAM_CONTEXT())
vl.vglSaveImage("bin-vglClNdBinDilate.png", img_output)
img_output.set_oclPtr(vl.get_similar_oclPtr_object(img_input))
img_input = vl.VglImage("bin.pgm", vl.VGL_IMAGE_2D_IMAGE(), None,
vl.IMAGE_ND_ARRAY())
vl.vglLoadImage(img_input)
vl.vglClUpload(img_input)
wrp.vglClNdBinThreshold(img_input, img_output, 100)
cl.enqueue_copy(wrp.cl_ctx.queue, img_input.get_oclPtr(),
img_output.get_oclPtr())
wrp.vglClNdBinDilatePack(img_input, img_output, window)
cl.enqueue_copy(wrp.cl_ctx.queue, img_input.get_oclPtr(),
img_output.get_oclPtr())
wrp.vglClNdBinToGray(img_input, img_output)
vl.vglCheckContext(img_output, vl.VGL_RAM_CONTEXT())