vhdl-modules/tests/ImgToConv2dBin.py

import re
import time
import cv2
import numpy as np
import random
import struct

preamble = 0xE1E4C312
moduleId = 0x4cd2e19c
jobId = 0x12345678

size = 224
kernelSize = 5
border = int(kernelSize/2)
sizeWithBorder = size+2*border
pixels = sizeWithBorder**2

image = cv2.imread("Test_card.png")

image = cv2.resize(image, (size, size))
image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

image = cv2.copyMakeBorder(image, border, border, border, border, cv2.BORDER_REPLICATE)

image = np.ndarray((228,228), dtype=float)
image.fill(0)
for a in range(228):
  for b in range(228):
    image[a][b] = (a)*228+(b)

kernel = np.array([
  [1,  4, 6,  4,  1],
  [4, 16, 24, 16, 4],
  [6, 24, 36, 24, 6],
  [4, 16, 24, 16, 4],
  [1,  4,  6,  4, 1]
], dtype=float) / 256
kernel.fill(0)
kernel[4][4] = 1
print(kernel)

cs = moduleId + jobId
delay = 315

with open("vivado_project/vhdl-modules.sim/sim_1/behav/xsim/input.txt", "w") as inFile:

  inFile.write("{:d} ns {:032b}\n".format(delay, preamble))
  inFile.write("{:d} ns {:032b}\n".format(delay, jobId))
  inFile.write("{:d} ns {:032b}\n".format(delay, moduleId))

  for i in range(kernelSize**2):
    y, x = int(i / kernelSize), i % kernelSize
    val = struct.unpack('!i',struct.pack('!f', kernel[y][x]))[0]
    inFile.write("{:d} ns {:032b}\n".format(delay, val))
    cs += val

  for i in range(pixels):
    y, x = int(i / sizeWithBorder), i % sizeWithBorder
    val = struct.unpack('!i',struct.pack('!f', image[y][x]))[0]
    inFile.write("{:d} ns {:032b}\n".format(delay, val))
    cs += val

  csc = 2**32 - cs % (2**32)
  if csc == 2**32:
    csc = 0

  inFile.write("{:d} ns {:032b}\n".format(delay, int(csc)))

with open("vivado_project/vhdl-modules.sim/sim_1/behav/xsim/outputTimings.txt", "w") as inFile:

  for i in range(4 + pixels):
    if i%256 == 0:
      inFile.write("{:d} ns\n".format(6005))
    else:
      inFile.write("{:d} ns\n".format(315))