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plotChart.py
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#!/usr/bin/env python3
from numpy.random import *
import numpy as np
import csv
import argparse
import math
from PIL import Image, ImageDraw, ImageFont
import matplotlib.pyplot as plt
def csvfile2nparray(f):
str_data = f.read()
lines = str_data.replace(' ', '').split('\n')
del lines[len(lines) - 1]
data = list()
cells = list()
for i in range(len(lines)):
cells.append(lines[i].split(','))
start_row = 0
if not cells[0][0].replace(".","",1).isdigit():
del cells[0]
start_row = 1
i = 0
for line in cells:
data.append(list())
for j in range(start_row, len(line)):
data[i].append(float(line[j]))
i += 1
# print(data)
return np.asarray(data, dtype=np.float32)
def loadCCM(ccmCsvFile) :
csvData = ccmCsvFile.read()
lines = csvData.replace(' ', '').split('\n')
del lines[len(lines) - 1]
data = list()
cells = list()
for i in range(len(lines)):
cells.append(lines[i].split(','))
i = 0
for line in cells:
data.append(list())
for j in range(len(line)):
data[i].append(float(line[j]))
i += 1
return np.asarray(data)
def drawChartComparison(reference, corrected, matchRatio):
offset = 15
patchSize = 100
patchHalfsize = patchSize / 2
width = offset + (patchSize + offset) * 6
height = offset + (patchSize + offset) * 4
im = Image.new("RGB", (width, height), (255, 255, 255))
draw = ImageDraw.Draw(im)
for i in range(len(reference)):
ix = i % 6
iy = int(i / 6)
rx = offset + (patchSize + offset) * ix
ry = offset + (patchSize + offset) * iy
draw.rectangle((rx, ry, rx + patchSize, ry + patchHalfsize),
fill=(int(reference[i][0] * 255),
int(reference[i][1] * 255),
int(reference[i][2] * 255)))
draw.rectangle((rx, ry + patchHalfsize, rx + patchSize, ry + patchSize),
fill=(int(corrected[i][0] * 255),
int(corrected[i][1] * 255),
int(corrected[i][2] * 255)))
draw.multiline_text((rx + patchHalfsize - 10, ry + 2 + patchSize),
'{0:3.1f}%'.format(matchRatio[i]),
fill=(0, 0, 0))
return im
def saveResultImg(chart, graph, filename):
offset = 0
dst = Image.new('RGB', (max(chart.width, graph.width) + offset,
chart.height + graph.height + offset),
(255, 255, 255))
dst.paste(chart, (0, 0))
dst.paste(graph, (0, chart.height + offset))
dst.save('{}.png'.format(filename))
def sRGB2XYZ(rgbList):
# D 50
# M = np.array([[0.4360747 0.3850649 0.1430804]
# [0.2225045 0.7168786 0.0606169]
# [0.0139322 0.0971045 0.7141733]])
# D 65
M = np.array([[0.412391, 0.357584, 0.180481],
[0.212639, 0.715169, 0.072192],
[0.019331, 0.119195, 0.950532]])
xyzList = []
for rgb in rgbList:
# (r, g, b)
xyz = np.dot(M, rgb.transpose())
xyzList.append(xyz.transpose())
return np.asarray(xyzList)
def XYZ2sRGB(rgbList):
# D 50
# M = np.array([[3.1338561 -1.6168667 -0.4906146]
# [-0.9787684 1.9161415 0.0334540]
# [0.0719453 -0.2289914 1.4052427]])
# D 65
M = np.array([[3.240970, -1.537383, -0.498611],
[-0.969244, 1.875968, 0.041555],
[0.055630, -0.203977, 1.056972]])
xyzList = []
for rgb in rgbList:
# (r, g, b)
xyz = np.dot(M, rgb.transpose())
xyzList.append(xyz.transpose())
return np.asarray(xyzList)
def correctChart(source, ccm):
sourceXYZ = sRGB2XYZ(source)
correctedSource = []
sourceXYZ = np.append(sourceXYZ, np.ones((24, 1)), axis=1)
correctedSource = np.dot(sourceXYZ, ccm)
return XYZ2sRGB(correctedSource)
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('ccm', action='store',
type=argparse.FileType('r'))
parser.add_argument('referenceCsv', action='store',
type=argparse.FileType('r'))
parser.add_argument('sourceCsv', action='store',
type=argparse.FileType('r'))
parser.add_argument('outputbasename', action='store',
type=str)
# parser.add_argument('-g', '--gamma', type=float, default=1.0, action='store',
# help='Gamma value of reference and source data. (Default=1.0)')
args = parser.parse_args()
#gamma = args.gamma
ccm = loadCCM(args.ccm)
reference = csvfile2nparray(args.referenceCsv)
source = csvfile2nparray(args.sourceCsv)
correctedSource = correctChart(source, ccm)
diff = np.absolute(np.subtract(reference, correctedSource))
matchRatio = np.multiply(np.add(np.divide(np.subtract(correctedSource, reference).sum(axis=1),
3),
0),
100)
diffIm = drawChartComparison(reference, correctedSource, matchRatio)
plt.ylim([-15, 15])
plt.axes().yaxis.grid(True)
plt.xlim([-1, 24])
plt.hlines([0], -1, 25, "red")
plt.bar(np.arange(len(matchRatio)), matchRatio, align="center", width=0.7)
plt.vlines([5.5, 11.5, 17.5, 23.5], -20, 20, "red")
plt.xlabel("Patch")
plt.ylabel("Match %")
plt.savefig('graph.png')
graphIm = Image.open('graph.png', 'r')
saveResultImg(diffIm, graphIm, args.outputbasename)