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MaskToggle.py
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MaskToggle.py
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##############################################
# (c) Copyright 2018-2019 Kenza Tazi and Thomas Zhu
# This software is distributed under the terms of the GNU General Public
# Licence version 3 (GPLv3)
##############################################
import sys
import matplotlib.pyplot as plt
import numpy as np
import DataLoader as DL
import Visualisation as Vis
from FFN import FFN
class MaskToggler():
def __init__(self, Sfilename, model='Net1_FFN_v7', verbose=False):
self.index = 0
self.settingfuncs = [self.setting1, self.setting2, self.setting3,
self.setting4, self.setting5, self.setting6,
self.setting7, self.setting8]
if isinstance(model, str):
self.modelname = model
self.model = FFN(model)
self.model.Load(verbose=verbose)
elif isinstance(model, FFN):
self.model = model
self.modelname = self.model.name
mask1, pmask1 = self.model.apply_mask(Sfilename)
rgb, self.TitleStr = Vis.FalseColour(Sfilename, False)
scn = DL.scene_loader(Sfilename)
scn.load(['bayes_in', 'probability_cloud_single_in'])
bmask = DL.upscale_repeat(scn['bayes_in'].values).astype('int')
bmask = 1 - ((bmask & 2) / 2)
bpmask = DL.upscale_repeat(scn['probability_cloud_single_in'].values)
self.im1 = plt.imshow(rgb)
plt.title('False colour image\n' + self.TitleStr)
self.im2 = plt.imshow(mask1, cmap='Blues')
self.im2.set_visible(False)
bmask = DL.extract_mask(Sfilename, 'bayes_in', 2)
self.im3 = plt.imshow(bmask, cmap='Reds')
self.im3.set_visible(False)
mask1 = mask1.astype('bool')
temp = np.copy(rgb)
temp[~mask1, :] = 254 / 255, 253 / 255, 185 / 255
self.im4 = plt.imshow(temp)
self.im4.set_visible(False)
rgb[mask1, :] = 74 / 255, 117 / 255, 50 / 255
self.im5 = plt.imshow(rgb)
self.im5.set_visible(False)
self.im6 = plt.imshow(1 - pmask1, cmap='Oranges')
self.im6.set_visible(False)
self.im7 = plt.imshow(1 - bpmask, cmap='Reds')
self.im7.set_visible(False)
maskdiff = bmask - mask1
self.im8 = plt.imshow(maskdiff, cmap='bwr')
self.im8.set_visible(False)
self.cbset = False
self.cb = None
def toggle_images(self, event):
"""Toggle between different images to display"""
if event.key == '1':
self._clearframe()
self.setting1()
elif event.key == '2':
self._clearframe()
self.setting2()
elif event.key == '3':
self._clearframe()
self.setting3()
elif event.key == '4':
self._clearframe()
self.setting4()
elif event.key == '5':
self._clearframe()
self.setting5()
elif event.key == '6':
self._clearframe()
self.setting6()
elif event.key == '7':
self._clearframe()
self.setting7()
elif event.key == '8':
self._clearframe()
self.setting8()
elif event.key == 'm':
self._clearframe()
self.cycleforward()
elif event.key == 'n':
self._clearframe()
self.cyclebackward()
else:
return
def _clearframe(self):
self.im1.set_visible(False)
self.im2.set_visible(False)
self.im3.set_visible(False)
self.im4.set_visible(False)
self.im5.set_visible(False)
self.im6.set_visible(False)
self.im7.set_visible(False)
self.im8.set_visible(False)
if self.cbset:
self.cb.remove()
self.cbset = False
def cycleforward(self):
self.index = (self.index + 1) % 8
self.settingfuncs[self.index]()
def cyclebackward(self):
self.index = (self.index - 1) % 8
self.settingfuncs[self.index]()
def setting1(self):
plt.title('False colour image\n' + self.TitleStr)
self.im1.set_visible(True)
self.index = 0
plt.draw()
def setting2(self):
plt.title(self.modelname + ' mask\n' + self.TitleStr)
self.im2.set_visible(True)
self.index = 1
plt.draw()
def setting3(self):
plt.title('Bayesian mask\n' + self.TitleStr)
self.im3.set_visible(True)
self.index = 2
plt.draw()
def setting4(self):
plt.title(self.modelname
+ ' masked false colour image\n' + self.TitleStr)
self.im4.set_visible(True)
self.index = 3
plt.draw()
def setting5(self):
plt.title(self.modelname
+ ' reverse masked false colour image\n' + self.TitleStr)
self.im5.set_visible(True)
self.index = 4
plt.draw()
def setting6(self):
plt.title(self.modelname + ' raw model output\n' + self.TitleStr)
self.im6.set_visible(True)
self.index = 5
self.cb = plt.colorbar(self.im6)
self.cbset = True
plt.draw()
def setting7(self):
plt.title('Bayesian mask raw output\n' + self.TitleStr)
self.im7.set_visible(True)
self.index = 6
self.cb = plt.colorbar(self.im7)
self.cbset = True
plt.draw()
def setting8(self):
plt.title(self.modelname + ' mask - Bayesian mask\n' + self.TitleStr)
self.im8.set_visible(True)
self.index = 7
self.cb = plt.colorbar(self.im8)
self.cbset = True
plt.draw()
if __name__ == '__main__':
if len(sys.argv) == 1:
Sfile = r"./SatelliteData/SLSTR/2018/05/S3A_SL_1_RBT____20180531T222736_20180531T223036_20180602T040456_0179_032_001_1800_LN2_O_NT_003.SEN3"
else:
Sfile = sys.argv[1]
toggler = MaskToggler(Sfile)
plt.connect('key_press_event', toggler.toggle_images)
plt.show()