#!/usr/bin/python3.6

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print("Running testXfCalcHist.py ...")
print("Loading overlay")
from pynq import Overlay
bs = Overlay("/usr/local/lib/python3.6/dist-packages/pynq_cv/overlays/xv2calcHist.bit")
bs.download()

print("Loading xlnk")
from pynq import Xlnk
Xlnk.set_allocator_library('/usr/local/lib/python3.6/dist-packages/pynq_cv/overlays/xv2calcHist.so')
mem_manager = Xlnk()

import pynq_cv.overlays.xv2calcHist as xv2
import numpy as np
import cv2
import time

import OpenCVUtils as cvu

print("Loading image ../images/bigBunny_1080.png")
img1 = cv2.imread('../images/bigBunny_1080.png')
imgY1 = cv2.cvtColor(img1,cv2.COLOR_BGR2GRAY)

print("Size of imgY1 is ",imgY1.shape);
height, width, channels = img1.shape

numberOfIterations=1
print("Number of loop iterations: "+str(numberOfIterations))

xFimgY1  = mem_manager.cma_array((height,width),np.uint8) #allocated physically contiguous numpy array
xFhist  = mem_manager.cma_array((256,1),np.float32) #allocated physically contiguous numpy array
xFimgY1[:] = imgY1[:] # copy source data

print("Start SW loop")
startSW=time.time()
for i in range(numberOfIterations):
    cv2.calcHist([imgY1], [0], None, [256], [0,255], hist=dstSW) #calcHist on ARM
stopSW=time.time()
print("SW loop finished")

print("Start HW loop")
startPL=time.time()
for i in range(numberOfIterations):
    xv2.calcHist(images=[xFimgY1], channels=[0], mask=None, histSize=[256], ranges=[0,255], hist=xFhist) #calcHist offloaded to PL, working on physically continuous numpy arrays
stopPL=time.time()
print("HW loop finished")

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(xFhist,dstSW,True,False,0.0)
print("number of differences: "+str(numberOfDifferences)+", average L1 error: "+str(errorPerPixel))


print("Done")
