def on_key(event):
global fileList, targetList, fig, imgNum, brushSize
global maskDir, maskImg
global prevImg, thisImg, nextImg
global prevAxImg, thisAxImg, nextAxImg
global prevTarget, thisTarget, nextTarget
global prevMin, thisMin, nextMin
global prevMax, thisMax, nextMax
global prevLabel, thisLabel, nextLabel
# Handle brush sizing
if event.key == '1':
brushSize = 1
elif event.key == '2':
brushSize = 2
elif event.key == '3':
brushSize = 3
elif event.key == '4':
brushSize = 4
elif event.key == '5':
brushSize = 5
elif event.key == '6':
brushSize = 6
# Increment the image number
if event.key == 'right' or event.key == 'left':
if event.key == 'right':
#Advance to the next image
imgNum += 1
# Read in the new files
prevImg = thisImg
thisImg = nextImg
nextImg = AstroImage(fileList[(imgNum + 1) % len(fileList)])
# Update target info
prevTarget = thisTarget
thisTarget = nextTarget
nextTarget = targetList[(imgNum + 1) % len(fileList)]
# Compute new image display minima
prevMin = thisMin
thisMin = nextMin
nextMin = np.median(nextImg.arr) - 0.25*np.std(nextImg.arr)
# Compute new image display maxima
prevMax = thisMax
thisMax = nextMax
nextMax = np.median(nextImg.arr) + 2*np.std(nextImg.arr)
if event.key == 'left':
#Move back to the previous image
imgNum -= 1
# Read in the new files
nextImg = thisImg
thisImg = prevImg
prevImg = AstroImage(fileList[(imgNum - 1) % len(fileList)])
# Update target info
nextTarget = thisTarget
thisTarget = prevTarget
prevTarget = targetList[(imgNum - 1) % len(fileList)]
# Compute new image display minima
nextMin = thisMin
thisMin = prevMin
prevMin = np.median(prevImg.arr) - 0.25*np.std(prevImg.arr)
# Compute new image display maxima
nextMax = thisMax
thisMax = prevMax
prevMax = np.median(prevImg.arr) + 2*np.std(prevImg.arr)
#*******************************
# Update the displayed mask
#*******************************
# Check which mask files might be usable...
prevMaskFile = os.path.join(maskDir,
os.path.basename(prevImg.filename))
thisMaskFile = os.path.join(maskDir,
os.path.basename(thisImg.filename))
nextMaskFile = os.path.join(maskDir,
os.path.basename(nextImg.filename))
if os.path.isfile(thisMaskFile):
# If the mask for this file exists, use it
print('using this mask: ',os.path.basename(thisMaskFile))
maskImg = AstroImage(thisMaskFile)
elif os.path.isfile(prevMaskFile) and (prevTarget == thisTarget):
# Otherwise check for the mask for the previous file
print('using previous mask: ',os.path.basename(prevMaskFile))
maskImg = AstroImage(prevMaskFile)
elif os.path.isfile(nextMaskFile) and (nextTarget == thisTarget):
# Then check for the mask of the next file
print('using next mask: ',os.path.basename(nextMaskFile))
maskImg = AstroImage(nextMaskFile)
else:
# If none of those files exist, build a blank slate
# Build a mask template (0 = not masked, 1 = masked)
maskImg = thisImg.copy()
maskImg.filename = thisMaskFile
maskImg.arr = maskImg.arr.astype(np.int16) * np.int16(0)
maskImg.dtype = np.byte
maskImg.header['BITPIX'] = 16
# Update contour plot (clear old lines redo contouring)
axarr[1].collections = []
axarr[1].contour(xx, yy, maskImg.arr, levels=[0.5], colors='white', alpha = 0.2)
# Reassign image display limits
prevAxImg.set_clim(vmin = prevMin, vmax = prevMax)
thisAxImg.set_clim(vmin = thisMin, vmax = thisMax)
nextAxImg.set_clim(vmin = nextMin, vmax = nextMax)
# Display the new images
prevAxImg.set_data(prevImg.arr)
thisAxImg.set_data(thisImg.arr)
nextAxImg.set_data(nextImg.arr)
# Update the annotation
axList = fig.get_axes()
axList[1].set_title(os.path.basename(thisImg.filename))
prevStr = (str(prevImg.header['OBJECT']) + '\n' +
str(prevImg.header['FILTNME3'] + '\n' +
str(prevImg.header['POLPOS'])))
thisStr = (str(thisImg.header['OBJECT']) + '\n' +
str(thisImg.header['FILTNME3'] + '\n' +
str(thisImg.header['POLPOS'])))
nextStr = (str(nextImg.header['OBJECT']) + '\n' +
str(nextImg.header['FILTNME3'] + '\n' +
str(nextImg.header['POLPOS'])))
prevLabel.set_text(prevStr)
thisLabel.set_text(thisStr)
nextLabel.set_text(nextStr)
# Update the display
fig.canvas.draw()
# Save the generated mask
if event.key == 'enter':
# Make sure the header has the right values
maskImg.header = thisImg.header
# Write the mask to disk
print('Writing mask for file ', os.path.basename(maskImg.filename))
maskImg.write()
# Clear out the mask values
if event.key == 'backspace':
# Clear out the mask array
maskImg.arr = maskImg.arr * np.byte(0)
# Update contour plot (clear old lines redo contouring)
axarr[1].collections = []
axarr[1].contour(xx, yy, maskImg.arr, levels=[0.5], colors='white', alpha = 0.2)
# Update the display
fig.canvas.draw()
# Perhaps they're getting treated as local variables
# because they are modified elsewhere???
# Test if a mask has already been generated for this images
maskFile = os.path.join(maskDir, os.path.basename(thisImg.filename))
if os.path.isfile(maskFile):
# If the mask file exists, use it
maskImg = AstroImage(maskFile)
else:
# If the mask file does not exist, build a blank slate
# Build a mask template (0 = not masked, 1 = masked)
maskImg = thisImg.copy()
maskImg.filename = maskFile
maskImg.arr = maskImg.arr.astype(np.int16) * np.int16(0)
maskImg.dtype = np.byte
maskImg.header['BITPIX'] = 16
# Generate 2D X and Y position maps
maskShape = maskImg.arr.shape
grids = np.mgrid[0:maskShape[0], 0:maskShape[1]]
xx = grids[1]
yy = grids[0]
# Build the image displays
# Start by preparing a 1x3 plotting area
fig, axarr = plt.subplots(1, 3, sharey=True)
# Compute image count scaling
prevMin = np.median(prevImg.arr) - 0.25*np.std(prevImg.arr)
prevMax = np.median(prevImg.arr) + 2*np.std(prevImg.arr)
