我正在尝试使用pyqtgraph在imageview上实现十字准线项目,似乎可以使用这些功能。 但是,当我放大图像并移动十字线时,像素边界上会出现一些断点或折线。 任何建议将不胜感激。
如下所示的完整代码可以运行并重现问题。
# -*- coding: utf-8 -*-
"""
This example demonstrates the use of ImageView, which is a high-level widget for
displaying and analyzing 2D and 3D data. ImageView provides:
1. A zoomable region (ViewBox) for displaying the image
2. A combination histogram and gradient editor (HistogramLUTItem) for
controlling the visual appearance of the image
3. A timeline for selecting the currently displayed frame (for 3D data only).
4. Tools for very basic analysis of image data (see ROI and Norm buttons)
"""
## Add path to library (just for examples; you do not need this)
#import initExample
import numpy as np
from pyqtgraph.Qt import QtCore, QtGui
import pyqtgraph as pg
from PyQt5 import QtGui, QtCore, QtWidgets
from PyQt5.QtWidgets import *
# Interpret image data as row-major instead of col-major
pg.setConfigOptions(imageAxisOrder='row-major')
app = QtGui.QApplication([])
## Create window with ImageView widget
win = QtGui.QMainWindow()
win.resize(800,800)
plt=pg.PlotItem()
imv = pg.ImageView(view=plt)
label = pg.LabelItem(justify='right')
plt.addItem(label)
win.setCentralWidget(imv)
win.show()
win.setWindowTitle('pyqtgraph example: ImageView')
## Create random 3D data set with noisy signals
img = pg.gaussianFilter(np.random.normal(size=(200, 200)), (5, 5)) * 20 + 100
img = img[np.newaxis,:,:]
decay = np.exp(-np.linspace(0,0.3,100))[:,np.newaxis,np.newaxis]
data = np.random.normal(size=(100, 200, 200))
data += img * decay
data += 2
## Add time-varying signal
sig = np.zeros(data.shape[0])
sig[30:] += np.exp(-np.linspace(1,10, 70))
sig[40:] += np.exp(-np.linspace(1,10, 60))
sig[70:] += np.exp(-np.linspace(1,10, 30))
sig = sig[:,np.newaxis,np.newaxis] * 3
data[:,50:60,30:40] += sig
## Display the data and assign each frame a time value from 1.0 to 3.0
imv.setImage(data, xvals=np.linspace(1., 3., data.shape[0]))
## Set a custom color map
colors = [
(0, 0, 0),
(45, 5, 61),
(84, 42, 55),
(150, 87, 60),
(208, 171, 141),
(255, 255, 255)
]
cmap = pg.ColorMap(pos=np.linspace(0.0, 1.0, 6), color=colors)
imv.setColorMap(cmap)
#cross hair
vLine = pg.InfiniteLine(angle=90, movable=False)
hLine = pg.InfiniteLine(angle=0, movable=False)
plt.addItem(vLine, ignoreBounds=True)
plt.addItem(hLine, ignoreBounds=True)
vb = plt.vb
def mouseMoved(evt):
pos = evt[0] ## using signal proxy turns original arguments into a tuple
if plt.sceneBoundingRect().contains(pos):
mousePoint = vb.mapSceneToView(pos)
# index = int(mousePoint.x())
# if index > 0 and index < len(data):
# label.setText("<span style='font-size: 12pt'>x=%0.1f, <span style='color: red'>y1=%0.1f</span>" % (mousePoint.x(), data[index, index]))
vLine.setPos(mousePoint.x())
hLine.setPos(mousePoint.y())
proxy = pg.SignalProxy(plt.scene().sigMouseMoved, rateLimit=60, slot=mouseMoved)
## Start Qt event loop unless running in interactive mode.
if __name__ == '__main__':
import sys
if (sys.flags.interactive != 1) or not hasattr(QtCore, 'PYQT_VERSION'):
QtGui.QApplication.instance().exec_()
我希望在移动十字准线时,图像在任何时候都应该是好的。
谢谢。