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原标题:Python/Pyside: Create Image Histogram

在PySide制造图像(QImage)的最有效的方式是什么?

我的测试形象是1,9MB, 3648x2736px, jpegpho/strong>。

我尝试了两种方式:

1. 导言

import time
start = time.time()

for y in range(h):
    line = img.scanLine(y)  # img - instance of QImage
    for x in range(w):
        color = struct.unpack( I , line[x*4:x*4+4])[0]
        self.obrhis[0][QtGui.qRed(color)] += 1    # red
        self.obrhis[1][QtGui.qGreen(color)] += 1  # green
        self.obrhis[2][QtGui.qBlue(color)] += 1   # blue

print  time:  , time.time() - start

平均时间=15

2. 结 论

import time
start = time.time()

buffer = QtCore.QBuffer()
buffer.open(QtCore.QIODevice.ReadWrite)
img.save(buffer, "PNG")

import cStringIO
import Image

strio = cStringIO.StringIO()
strio.write(buffer.data())
buffer.close()
strio.seek(0)
pilimg = Image.open(strio)

hist = pilimg.histogram()
self.obrhis[0] = hist[:256]
self.obrhis[1] = hist[256:512]
self.obrhis[2] = hist[512:]

print  time:  , time.time() - start

平均时间=4

Better but still slow. Is there a faster way to calculate image histogram from QImage?

问题回答

您可能尝试的另一个做法是将图像数据带入一个绝热阵列(完全有可能合理地有效),并使用





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