def imshow(im, windowName='Image', histogram=False, bitDepth=8, dpi=128.5):
# Determine the numnber of grey levels
numberLevels = 2**bitDepth
# Normalize the image so that it falls in the range [0, 1]
normalizedImage = (im / float(numberLevels-1)).astype(numpy.float32)
# Reverse the channel order (BGR to RGB) for color images (assumption is
# that OpenCV-style color images are provided)
if len(im.shape) == 3:
normalizedImage = cv2.cvtColor(normalizedImage, cv2.COLOR_BGR2RGB)
# Determine the current screen size and set the figure size appropriately
scale = 0.85
screenSize = hardware.get_screen_size(dpi=dpi)
if histogram:
figureSize = [screenSize[3]*scale, screenSize[2]*scale]
else:
figureSize = [screenSize[2]*scale, screenSize[2]*scale]
# Create a Matplotlib figure with the given title and a canvas to contain
# this figure
figure = matplotlib.pyplot.figure(windowName,
figsize=[figureSize[0],
figureSize[1]])
canvas = matplotlib.backends.backend_agg.FigureCanvasAgg(figure)
# Add one or two subplot axes to the figure depending on whether or not
# the histogram is to be displayed
if histogram:
figureRows = 2
figureCols = 1
axes1 = figure.add_subplot(figureRows, figureCols, 1)
axes2 = figure.add_subplot(figureRows, figureCols, 2)
else:
figureRows = 1
figureCols = 1
axes1 = figure.add_subplot(figureRows, figureCols, 1)
# Add the image and the histogram (if requested) to the figure
if len(im.shape) == 2:
axes1.imshow(normalizedImage, cmap=matplotlib.cm.Greys_r)
else:
axes1.imshow(normalizedImage)
axes1.axis('off')
if histogram:
h, pdf, cdf = ipcv.histogram(im, maxCount=numberLevels-1)
axes2.set_xlim([0, numberLevels-1])
axes2.set_xlabel('DC')
axes2.set_ylabel('PDF')
if len(h) == 1:
axes2.plot(range(numberLevels), pdf[0], 'k')
else:
for band in range(len(h)):
axes2.plot(range(numberLevels), pdf[band])
# Display the figure to the screen
matplotlib.pyplot.show()
import Tkinter
def get_screen_size(dpi=80):
root = Tkinter.Tk()
root.withdraw()
screenPixelWidth = root.winfo_screenwidth()
screenPixelHeight = root.winfo_screenheight()
screenWidth = screenPixelWidth / float(dpi)
screenHeight = screenPixelHeight / float(dpi)
return screenPixelWidth, screenPixelHeight, screenWidth, screenHeight
if __name__ == '__main__':
import hardware
dpi = 110 # Early 2011 MacBook Pro
dims = hardware.get_screen_size(dpi)
print 'Screen size (width, height) [pixels]: (%d, %d)' % \
(dims[0], dims[1])
print 'Screen size (width, height) [inches]: (%.2f, %.2f) @ %d dpi' % \
(dims[2], dims[3], dpi)
