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testXfCanny.py
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#!/usr/bin/python3.6
###############################################################################
# Copyright (c) 2018, Xilinx, Inc.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# 1. Redistributions of source code must retain the above copyright notice,
# this list of conditions and the following disclaimer.
#
# 2. Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
#
# 3. Neither the name of the copyright holder nor the names of its
# contributors may be used to endorse or promote products derived from
# this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
# THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
# PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR
# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
# OR BUSINESS INTERRUPTION). HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY,
# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR
# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF
# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#
###############################################################################
print("Running testXfCanny.py ...")
print("Loading overlay")
from pynq import Overlay
bs = Overlay("/usr/local/lib/python3.6/dist-packages/pynq_cv/overlays/xv2canny.bit")
bs.download()
print("Loading xlnk")
from pynq import Xlnk
Xlnk.set_allocator_library('/usr/local/lib/python3.6/dist-packages/pynq_cv/overlays/xv2canny.so')
mem_manager = Xlnk()
import pynq_cv.overlays.xv2canny as xv2
import numpy as np
import cv2
import time
import OpenCVUtils as cvu
print("Loading image ../images/bigBunny_1080.png")
img = cv2.imread('../images/bigBunny_1080.png')
imgY = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
print("Size of imgY is ",imgY.shape);
height, width, channels = img.shape
kernel = np.array([[1.0,2.0,1.0],[0.0,0.0,0.0],[-1.0,-2.0,-1.0]],np.float32) # Sobel Horizontal Edges
numberOfIterations=10
print("Number of loop iterations: "+str(numberOfIterations))
dstSW = np.ones((height,width),np.uint8)
xFimgY = mem_manager.cma_array((height,width),np.uint8) #allocated physically contiguous numpy array
xFimgY[:] = imgY[:] # copy source data
xFdst = mem_manager.cma_array((height,width),np.uint8) #allocated physically contiguous numpy array
threshold1 = 30
threshold2 = 64
apertureSize = 3
L2gradient = 0
print("Start SW loop")
startSW=time.time()
for i in range(numberOfIterations):
cv2.Canny(imgY,threshold1,threshold2,dstSW,apertureSize,L2gradient) #canny on ARM
stopSW=time.time()
print("Start HW loop")
startPL=time.time()
for i in range(numberOfIterations):
xv2.Canny(xFimgY,threshold1,threshold2,xFdst,apertureSize,L2gradient) #canny offloaded to PL, working on physically continuous numpy arrays
stopPL=time.time()
print("SW frames per second: ", ((numberOfIterations) / (stopSW - startSW)))
print("PL frames per second: ", ((numberOfIterations) / (stopPL - startPL)))
print("Checking SW and HW results match")
numberOfDifferences,errorPerPixel = cvu.imageCompare(xFdst,dstSW,True,False,0.0)
print("number of differences: "+str(numberOfDifferences)+", average L1 error: "+str(errorPerPixel))
print("Writing SW and HW results to image files.")
cv2.imwrite("canny_sw.png",dstSW)
xFdst_cp = np.ones((height,width),np.uint8)
xFdst_cp[:] = xFdst[:]
cv2.imwrite("canny_hw.png",xFdst_cp)
print("Done")