def vglClNdCopy(img_input, img_output):
if (not img_input.clForceAsBuf == vl.IMAGE_ND_ARRAY()):
print(
"vglClNdCopy: Error: this function supports only OpenCL data as buffer and img_input isn't."
)
exit(1)
if (not img_output.clForceAsBuf == vl.IMAGE_ND_ARRAY()):
print(
"vglClNdCopy: Error: this function supports only OpenCL data as buffer and img_output isn't."
)
exit(1)
vl.vglCheckContext(img_input, vl.VGL_CL_CONTEXT())
vl.vglCheckContext(img_output, vl.VGL_CL_CONTEXT())
_program = vl.get_ocl_context().get_compiled_kernel(
"CL_ND/vglClNdCopy.cl", "vglClNdCopy")
_kernel = _program.vglClNdCopy
_kernel.set_arg(0, img_input.get_oclPtr())
_kernel.set_arg(1, img_output.get_oclPtr())
# THIS IS A BLOCKING COMMAND. IT EXECUTES THE KERNEL.
cl.enqueue_nd_range_kernel(vl.get_ocl().commandQueue, _kernel,
img_input.get_ipl().shape, None)
vl.vglSetContext(img_input, vl.VGL_CL_CONTEXT())
vl.vglSetContext(img_output, vl.VGL_CL_CONTEXT())
def vglClNdCopy(self, img_input, img_output):
print("# Running vglClNdCopy")
if (not img_input.clForceAsBuf == vl.IMAGE_ND_ARRAY()):
print(
"vglClNdCopy: Error: this function supports only OpenCL data as buffer and img_input isn't."
)
exit()
if (not img_output.clForceAsBuf == vl.IMAGE_ND_ARRAY()):
print(
"vglClNdCopy: Error: this function supports only OpenCL data as buffer and img_output isn't."
)
exit()
vl.vglCheckContext(img_input, vl.VGL_CL_CONTEXT())
vl.vglCheckContext(img_output, vl.VGL_CL_CONTEXT())
_program = self.cl_ctx.get_compiled_kernel("../CL_ND/vglClNdCopy.cl",
"vglClNdCopy")
kernel_run = _program.vglClNdCopy
kernel_run.set_arg(0, img_input.get_oclPtr())
kernel_run.set_arg(1, 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())
def vglClNdThreshold(img_input, img_output, thresh, top=255):
if (not img_input.clForceAsBuf == vl.IMAGE_ND_ARRAY()):
print(
"vglClNdCopy: Error: this function supports only OpenCL data as buffer and img_input isn't."
)
exit(1)
if (not img_output.clForceAsBuf == vl.IMAGE_ND_ARRAY()):
print(
"vglClNdCopy: Error: this function supports only OpenCL data as buffer and img_output isn't."
)
exit(1)
vl.vglCheckContext(img_input, vl.VGL_CL_CONTEXT())
vl.vglCheckContext(img_output, vl.VGL_CL_CONTEXT())
# EVALUATING IF thresh IS IN CORRECT TYPE
if (not isinstance(thresh, np.uint8)):
print(
"vglClConvolution: Warning: thresh not np.uint8! Trying to convert..."
)
try:
thresh = np.uint8(thresh)
except Exception as e:
print(
"vglClConvolution: Error!! Impossible to convert thresh as a np.uint8 object."
)
print(str(e))
exit()
# EVALUATING IF top IS IN CORRECT TYPE
if (not isinstance(top, np.uint8)):
print(
"vglClConvolution: Warning: top not np.uint8! Trying to convert..."
)
try:
top = np.uint8(top)
except Exception as e:
print(
"vglClConvolution: Error!! Impossible to convert top as a np.uint8 object."
)
print(str(e))
exit()
_program = vl.get_ocl_context().get_compiled_kernel(
"CL_ND/vglClNdThreshold.cl", "vglClNdThreshold")
_kernel = _program.vglClNdThreshold
_kernel.set_arg(0, img_input.get_oclPtr())
_kernel.set_arg(1, img_output.get_oclPtr())
_kernel.set_arg(2, thresh)
_kernel.set_arg(3, top)
# THIS IS A BLOCKING COMMAND. IT EXECUTES THE KERNEL.
cl.enqueue_nd_range_kernel(vl.get_ocl().commandQueue, _kernel,
img_input.get_ipl().shape, None)
vl.vglSetContext(img_input, vl.VGL_CL_CONTEXT())
vl.vglSetContext(img_output, vl.VGL_CL_CONTEXT())
def vglClNdBinThreshold(self, img_input, img_output, thresh):
if (not img_input.clForceAsBuf == vl.IMAGE_ND_ARRAY()):
print(
"vglClNdBinThreshold: Error: this function supports only OpenCL data as buffer and img_input isn't."
)
exit()
if (not img_output.clForceAsBuf == vl.IMAGE_ND_ARRAY()):
print(
"vglClNdBinThreshold: Error: this function supports only OpenCL data as buffer and img_output isn't."
)
exit()
if (not isinstance(thresh, np.uint8)):
print(
"vglClNdBinThreshold: Warning: thresh not np.uint8! Trying to convert..."
)
try:
thresh = np.uint8(thresh)
except Exception as e:
print(
"vglClNdBinThreshold: Error!! Impossible to convert thresh as a np.uint8 object."
)
print(str(e))
exit()
vl.vglCheckContext(img_input, vl.VGL_CL_CONTEXT())
vl.vglCheckContext(img_output, vl.VGL_CL_CONTEXT())
_program = self.cl_ctx.get_compiled_kernel(
"../CL_BIN/vglClNdBinThreshold.cl", "vglClNdBinThreshold")
kernel_run = _program.vglClNdBinThreshold
mobj_img_shape_input = img_input.getVglShape().get_asVglClShape_buffer(
)
mobj_img_shape_output = img_output.getVglShape(
).get_asVglClShape_buffer()
kernel_run.set_arg(0, img_input.get_oclPtr())
kernel_run.set_arg(1, img_output.get_oclPtr())
kernel_run.set_arg(2, thresh)
kernel_run.set_arg(3, mobj_img_shape_input)
kernel_run.set_arg(4, mobj_img_shape_output)
_worksize_0 = img_input.getWidthIn()
if (img_input.depth == vl.IPL_DEPTH_1U()):
_worksize_0 = img_input.getWidthStep()
if (img_output.depth == vl.IPL_DEPTH_1U()):
_worksize_0 = img_output.getWidthStep()
worksize = (int(_worksize_0), img_input.getHeigthIn(),
img_input.getNFrames())
# ENQUEUEING KERNEL EXECUTION
#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())
def vglClNdThreshold(self, img_input, img_output, thresh, top=255):
print("# Running vglClNdThreshold")
if (not img_input.clForceAsBuf == vl.IMAGE_ND_ARRAY()):
print(
"vglClNdThreshold: Error: this function supports only OpenCL data as buffer and img_input isn't."
)
exit()
if (not img_output.clForceAsBuf == vl.IMAGE_ND_ARRAY()):
print(
"vglClNdThreshold: Error: this function supports only OpenCL data as buffer and img_output isn't."
)
exit()
if (not isinstance(thresh, np.uint8)):
print(
"vglClNdThreshold: Warning: thresh not np.uint8! Trying to convert..."
)
try:
thresh = np.uint8(thresh)
except Exception as e:
print(
"vglClNdThreshold: Error!! Impossible to convert thresh as a np.uint8 object."
)
print(str(e))
exit()
if (not isinstance(top, np.uint8)):
print(
"vglClNdThreshold: Warning: top not np.uint8! Trying to convert..."
)
try:
top = np.uint8(top)
except Exception as e:
print(
"vglClNdThreshold: Error!! Impossible to convert top as a np.uint8 object."
)
print(str(e))
exit()
vl.vglCheckContext(img_input, vl.VGL_CL_CONTEXT())
vl.vglCheckContext(img_output, vl.VGL_CL_CONTEXT())
_program = self.cl_ctx.get_compiled_kernel(
"../CL_ND/vglClNdThreshold.cl", "vglClNdThreshold")
kernel_run = _program.vglClNdThreshold
kernel_run.set_arg(0, img_input.get_oclPtr())
kernel_run.set_arg(1, img_output.get_oclPtr())
kernel_run.set_arg(2, thresh)
kernel_run.set_arg(3, top)
cl.enqueue_nd_range_kernel(self.ocl.commandQueue, kernel_run,
img_output.get_ipl().shape, None)
vl.vglSetContext(img_output, vl.VGL_CL_CONTEXT())
def vglClNdBinMin(self, img_input, img_input2, img_output):
if (not img_input.clForceAsBuf == vl.IMAGE_ND_ARRAY()):
print(
"vglClNdBinMin: Error: this function supports only OpenCL data as buffer and img_input isn't."
)
exit()
if (not img_input2.clForceAsBuf == vl.IMAGE_ND_ARRAY()):
print(
"vglClNdBinMin: Error: this function supports only OpenCL data as buffer and img_input isn't."
)
exit()
if (not img_output.clForceAsBuf == vl.IMAGE_ND_ARRAY()):
print(
"vglClNdBinMin: Error: this function supports only OpenCL data as buffer and img_output isn't."
)
exit()
vl.vglCheckContext(img_input, vl.VGL_CL_CONTEXT())
vl.vglCheckContext(img_input2, vl.VGL_CL_CONTEXT())
vl.vglCheckContext(img_output, vl.VGL_CL_CONTEXT())
if (not isinstance(window, vl.VglStrEl)):
print(
"vglClNdBinMin: Error: window is not a VglStrEl object. aborting execution."
)
exit()
_program = self.cl_ctx.get_compiled_kernel(
"../CL_BIN/vglClNdBinMin.cl", "vglClNdBinMin")
kernel_run = _program.vglClNdBinMin
kernel_run.set_arg(0, img_input.get_oclPtr())
kernel_run.set_arg(1, img_input2.get_oclPtr())
kernel_run.set_arg(2, img_output.get_oclPtr())
_worksize_0 = img_input.getWidthIn()
if (img_input.depth == vl.IPL_DEPTH_1U()):
_worksize_0 = img_input.getWidthStep()
if (img_input2.depth == vl.IPL_DEPTH_1U()):
_worksize_0 = img_input2.getWidthStep()
if (img_output.depth == vl.IPL_DEPTH_1U()):
_worksize_0 = img_output.getWidthStep()
worksize = (int(_worksize_0), img_input.getHeigthIn(),
img_input.getNFrames())
# ENQUEUEING KERNEL EXECUTION
#cl.enqueue_nd_range_kernel(self.ocl.commandQueue, kernel_run, worksize, None)
cl.enqueue_nd_range_kernel(self.ocl.commandQueue, kernel_run,
img_output.get_ipl().shape, None)
vl.vglSetContext(img_output, vl.VGL_CL_CONTEXT())
def vglClNdBinDilatePack(self, img_input, img_output, window):
if (not img_input.clForceAsBuf == vl.IMAGE_ND_ARRAY()):
print(
"vglClNdBinDilatePack: Error: this function supports only OpenCL data as buffer and img_input isn't."
)
exit()
if (not img_output.clForceAsBuf == vl.IMAGE_ND_ARRAY()):
print(
"vglClNdBinDilatePack: Error: this function supports only OpenCL data as buffer and img_output isn't."
)
exit()
vl.vglCheckContext(img_input, vl.VGL_CL_CONTEXT())
vl.vglCheckContext(img_output, vl.VGL_CL_CONTEXT())
if (not isinstance(window, vl.VglStrEl)):
print(
"vglClNdBinDilatePack: Error: window is not a VglStrEl object. aborting execution."
)
exit()
_program = self.cl_ctx.get_compiled_kernel(
"../CL_BIN/vglClNdBinDilatePack.cl", "vglClNdBinDilatePack")
kernel_run = _program.vglClNdBinDilatePack
# CREATING OPENCL BUFFER TO VglStrEl and VglShape
mobj_window = window.get_asVglClStrEl_buffer()
mobj_img_shape = img_input.getVglShape().get_asVglClShape_buffer()
# SETTING ARGUMENTS
kernel_run.set_arg(0, img_input.get_oclPtr())
kernel_run.set_arg(1, img_output.get_oclPtr())
kernel_run.set_arg(2, mobj_img_shape)
kernel_run.set_arg(3, mobj_window)
_worksize_0 = img_input.getWidthIn()
if (img_input.depth == vl.IPL_DEPTH_1U()):
_worksize_0 = img_input.getWidthStep()
if (img_output.depth == vl.IPL_DEPTH_1U()):
_worksize_0 = img_output.getWidthStep()
worksize = (int(_worksize_0), img_input.getHeigthIn(),
img_input.getNFrames())
# ENQUEUEING KERNEL EXECUTION
#cl.enqueue_nd_range_kernel(self.ocl.commandQueue, kernel_run, worksize, None)
cl.enqueue_nd_range_kernel(self.ocl.commandQueue, kernel_run,
img_output.get_ipl().shape, None)
vl.vglSetContext(img_output, vl.VGL_CL_CONTEXT())
def vglClNdConvolution(img_input, img_output, window):
if (not img_input.clForceAsBuf == vl.IMAGE_ND_ARRAY()):
print(
"vglClNdCopy: Error: this function supports only OpenCL data as buffer and img_input isn't."
)
exit(1)
if (not img_output.clForceAsBuf == vl.IMAGE_ND_ARRAY()):
print(
"vglClNdCopy: Error: this function supports only OpenCL data as buffer and img_output isn't."
)
exit(1)
# CREATING OPENCL BUFFER TO VglClShape
mobj_img_shape = img_input.getVglShape().get_asVglClShape_buffer()
# EVALUATING IF window IS IN CORRECT TYPE
if (not isinstance(window, vl.VglStrEl)):
print(
"vglClNdConvolution: Error: window is not a VglClStrEl object. aborting execution."
)
exit()
# CREATING OPENCL BUFFER TO VglClStrEl
mobj_window = window.get_asVglClStrEl_buffer()
vl.vglCheckContext(img_input, vl.VGL_CL_CONTEXT())
vl.vglCheckContext(img_output, vl.VGL_CL_CONTEXT())
_program = vl.get_ocl_context().get_compiled_kernel(
"CL_ND/vglClNdConvolution.cl", "vglClNdConvolution")
_kernel = _program.vglClNdConvolution
_kernel.set_arg(0, img_input.get_oclPtr())
_kernel.set_arg(1, img_output.get_oclPtr())
_kernel.set_arg(2, mobj_img_shape)
_kernel.set_arg(3, mobj_window)
# THIS IS A BLOCKING COMMAND. IT EXECUTES THE KERNEL.
cl.enqueue_nd_range_kernel(vl.get_ocl().commandQueue, _kernel,
img_input.get_ipl().shape, None)
mobj_img_shape = None
vl.vglSetContext(img_input, vl.VGL_CL_CONTEXT())
vl.vglSetContext(img_output, vl.VGL_CL_CONTEXT())
def vglClNdBinToGray(self, img_input, img_output):
if (not img_input.clForceAsBuf == vl.IMAGE_ND_ARRAY()):
print(
"vglClNdBinToGray: Error: this function supports only OpenCL data as buffer and img_input isn't."
)
exit()
if (not img_output.clForceAsBuf == vl.IMAGE_ND_ARRAY()):
print(
"vglClNdBinToGray: Error: this function supports only OpenCL data as buffer and img_output isn't."
)
exit()
vl.vglCheckContext(img_input, vl.VGL_CL_CONTEXT())
vl.vglCheckContext(img_output, vl.VGL_CL_CONTEXT())
_program = self.cl_ctx.get_compiled_kernel(
"../CL_BIN/vglClNdBinToGray.cl", "vglClNdBinToGray")
kernel_run = _program.vglClNdBinToGray
mobj_img_shape_input = img_input.getVglShape().get_asVglClShape_buffer(
)
mobj_img_shape_output = img_output.getVglShape(
).get_asVglClShape_buffer()
kernel_run.set_arg(0, img_input.get_oclPtr())
kernel_run.set_arg(1, img_output.get_oclPtr())
kernel_run.set_arg(2, mobj_img_shape_input)
kernel_run.set_arg(3, mobj_img_shape_output)
_worksize_0 = img_input.getWidthIn()
if (img_input.depth == vl.IPL_DEPTH_1U()):
_worksize_0 = img_input.getWidthStep()
if (img_output.depth == vl.IPL_DEPTH_1U()):
_worksize_0 = img_output.getWidthStep()
#worksize = (np.int32(_worksize_0), img_input.getHeigthIn(), img_input.getNFrames() )
# ENQUEUEING KERNEL EXECUTION
#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())
def vglClDownload(img):
if (vl.vglIsInContext(img, vl.VGL_CL_CONTEXT())):
if (img.clForceAsBuf == vl.IMAGE_CL_OBJECT()):
vglClImageDownload(img)
elif (img.clForceAsBuf == vl.IMAGE_ND_ARRAY()):
vglClNdImageDownload(img)
vl.vglAddContext(img, vl.VGL_RAM_CONTEXT())
else:
print("vglClDownload: Error: image context is not in VGL_CL_CONTEXT.")
exit()
def vglClNdDilate(self, img_input, img_output, window):
print("# Running vglClNdDilate")
if (not img_input.clForceAsBuf == vl.IMAGE_ND_ARRAY()):
print(
"vglClNdDilate: Error: this function supports only OpenCL data as buffer and img_input isn't."
)
exit()
if (not img_output.clForceAsBuf == vl.IMAGE_ND_ARRAY()):
print(
"vglClNdDilate: Error: this function supports only OpenCL data as buffer and img_output isn't."
)
exit()
vl.vglCheckContext(img_input, vl.VGL_CL_CONTEXT())
vl.vglCheckContext(img_output, vl.VGL_CL_CONTEXT())
if (not isinstance(window, vl.VglStrEl)):
print(
"vglClNdDilate: Error: window is not a VglStrEl object. aborting execution."
)
exit()
_program = self.cl_ctx.get_compiled_kernel("../CL_ND/vglClNdDilate.cl",
"vglClNdDilate")
kernel_run = _program.vglClNdDilate
# CREATING OPENCL BUFFER TO VglStrEl and VglShape
mobj_window = window.get_asVglClStrEl_buffer()
mobj_img_shape = img_input.getVglShape().get_asVglClShape_buffer()
# SETTING ARGUMENTS
kernel_run.set_arg(0, img_input.get_oclPtr())
kernel_run.set_arg(1, img_output.get_oclPtr())
kernel_run.set_arg(2, mobj_img_shape)
kernel_run.set_arg(3, mobj_window)
# ENQUEUEING KERNEL EXECUTION
cl.enqueue_nd_range_kernel(self.ocl.commandQueue, kernel_run,
img_output.get_ipl().shape, None)
vl.vglSetContext(img_output, vl.VGL_CL_CONTEXT())
def __init__(self, imgPath="", depth=None, ndim=None, clForceAsBuf=None ):
# IF THE IMAGE TYPE IS NOT SPECIFIED, A 2D IMAGE WILL BE ASSUMED
# INICIALIZING DATA
self.ipl = None
self.ndim = ndim
self.shape = np.zeros((2*vl.VGL_MAX_DIM()), np.uint8)
self.vglShape = None
self.depth = depth
self.nChannels = 0
self.has_mipmap = 0
self.oclPtr = None
self.clForceAsBuf = clForceAsBuf
self.inContext = 0
self.filename = imgPath
# NOT IMPLEMENTED IN PYTHON-SIDE
self.fbo = -1
self.tex = -1
self.cudaPtr = None
self.cudaPbo = -1
if( self.depth == None ):
self.depth = vl.IPL_DEPTH_1U()
if( self.clForceAsBuf is None ):
self.clForceAsBuf = vl.IMAGE_CL_OBJECT()
elif( not((self.clForceAsBuf is vl.IMAGE_CL_OBJECT() )
or (self.clForceAsBuf is vl.IMAGE_ND_ARRAY() ) ) ):
print("VglImage: Error! Unexistent image treatment. Use vl.IMAGE_CL_OBJECT() or vl.IMAGE_ND_ARRAY()!")
exit()
if(self.ndim is None):
self.ndim = vl.VGL_IMAGE_2D_IMAGE()
print(":Assuming 2D Image!")
elif(self.ndim is vl.VGL_IMAGE_2D_IMAGE()):
print(":Creating 2D Image!")
elif(self.ndim is vl.VGL_IMAGE_3D_IMAGE()):
print(":Creating 3D Image!")
else:
print("vglImage: Warning! Image is not 2D or 3D. Execution will continue.")
print(":::-->path", imgPath)
print(":::-->dept", depth)
print(":::-->ndim", ndim)
print(":::-->forc", clForceAsBuf)
def set_oclPtr(self, img):
if( self.clForceAsBuf == vl.IMAGE_CL_OBJECT() ):
if( isinstance(img, cl.Image) ):
self.oclPtr = img
else:
print("vglImage: set_oclPtr Error! This image must have a OpenCL Image object as oclPtr.")
print("Image sent:")
print(img)
exit()
elif( self.clForceAsBuf == vl.IMAGE_ND_ARRAY() ):
if( isinstance(img, cl.Buffer) ):
self.oclPtr = img
else:
print("vglImage: set_oclPtr Error: This image must have a OpenCL Buffer object as oclPtr.")
exit()
else:
print("vglImage: set_oclPtr Error: Invalid object. oclPtr must be cl.Image or cl.Buffer objects, according to clForceAsBuf.")
exit()
""" 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.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())
