def start_evaluation(self, tol):
dm = DataMatrix(self.lbl_img_list.text(), self.lbl_anno_dir.text(),
self.lbl_img_dir.text(), self.lbl_out_dir.text(),
self.lbl_ages_list.text(), tol)
self.image_list = dm.image_list
self.plainTextEdit.setPlainText(dm.get_dataset_properties())
# insert data in table:
tbl = dm.table_annodata
self.tbl_anno_data.setRowCount(np.size(tbl, 0))
self.tbl_anno_data.setColumnCount(np.size(tbl, 1))
self.tbl_anno_data.setHorizontalHeaderLabels([
'sc', 'matr', 'age', 'g', 'no.', 'a%', 'state', 'd0', 'd1', 'd0%',
'd1%'
])
try:
self.tbl_anno_data.clearContents()
except Exception as err:
print(err)
try:
for row in range(np.size(tbl, 0)):
for column in range(np.size(tbl, 1)):
try:
item = str(tbl[row][column].decode("utf-8"))
self.tbl_anno_data.setItem(row, column,
QTableWidgetItem(item))
except Exception as err:
pass # print("unknown error" + str(err))
except Exception as err:
print("unknown error in table" + str(err))
# plot histogram 1
self.hist1_widget.canvas.figure.clear()
ax = self.hist1_widget.canvas.figure.subplots()
ax.clear()
ax.hist(dm.hist1_canvas, bins=8)
self.hist1_widget.canvas.draw()
# plot histogram 2
self.hist2_widget.canvas.figure.clear()
ax = self.hist2_widget.canvas.figure.subplots()
ax.clear()
ax.hist(dm.hist2_canvas, bins=30)
self.hist2_widget.canvas.draw()
# plot histogram 2
self.hist3_widget.canvas.figure.clear()
ax = self.hist3_widget.canvas.figure.subplots()
ax.clear()
ax.hist(dm.num_value_0_with_large_sc, bins=100)
self.hist3_widget.canvas.draw()
# plot histogram 2
self.hist4_widget.canvas.figure.clear()
ax = self.hist4_widget.canvas.figure.subplots()
ax.clear()
ax.hist(dm.num_value_1_with_small_sc, bins=100)
self.hist4_widget.canvas.draw()
# plot miss attractive
self.attr_widget.canvas.figure.clear()
ax = self.attr_widget.canvas.figure.subplots()
ax.clear()
ax.axis('off')
ax.set_title('Miss Aesthetics')
ax.imshow(dm.attr_canvas)
self.attr_widget.canvas.draw()
# plot histogram ethnicity aesthetics
self.ac_widget.canvas.figure.clear()
ax = self.ac_widget.canvas.figure.subplots()
ax.clear()
x = dm.ethnic
y = dm.score_list
x, y = zip(*sorted(
(xVal, np.mean([yVal for a, yVal in zip(x, y) if xVal == a]))
for xVal in set(x)))
ax.plot(x, y, '-', color='b')
self.ac_widget.canvas.draw()
# plot correlation of age and aesthetics
self.age_data = dm.get_age_data()
min, max, attr, avg, var, ethnic = self.age_data
x = list(range(min, max))
self.ac_widget2.canvas.figure.clear()
ax = self.ac_widget2.canvas.figure.subplots()
ax.clear()
ax.set_title('Correlation of Aesthetics and Age')
for i in range(0, max - min):
for score in range(len(attr[i])):
norm = colors.Normalize(0, 10)
co = ethnic[i][score]
ax.plot(min + i,
attr[i][score],
'.',
color=(.99 * co, .5 - 0.5 * co, .8 - .8 * co))
ax.plot(x, avg, '-', color='b')
self.ac_widget2.canvas.draw()
def buttonClicked(self):
sender = self.sender()
if sender.text() == 'Image Textfile':
# self.rot += 0.1
print("< you pressed " + sender.text())
fname = QFileDialog.getOpenFileName(
self, 'Open file', 'c:\\',
"Aesthetics data file (*.dat *.txt)")
print(fname)
self.lbl_img_list.setText(fname[0])
elif sender.text() == 'Image directory':
print("> you pressed " + sender.text())
fname = QFileDialog.getExistingDirectory(self, 'Select Directory')
print(fname)
self.lbl_img_dir.setText(fname)
elif sender.text() == 'Annotations directory':
print("> you pressed " + sender.text())
fname = QFileDialog.getExistingDirectory(self, 'Select Directory')
print(fname)
self.lbl_anno_dir.setText(fname)
elif sender.text() == 'Output directory':
print("> you pressed " + sender.text())
fname = QFileDialog.getExistingDirectory(self, 'Select Directory')
print(fname)
self.lbl_out_dir.setText(fname)
elif sender.text() == 'Start Evaluation':
dm = DataMatrix(self.lbl_img_list.text(), self.lbl_anno_dir.text(),
self.lbl_img_dir.text(), self.lbl_out_dir.text(),
50)
self.plainTextEdit.setPlainText(dm.get_dataset_properties())
self.output_log.setPlainText(dm.output_log)
# plot histogram 1
self.hist1_widget.canvas.figure.clear()
ax = self.hist1_widget.canvas.figure.subplots()
ax.clear()
ax.hist(dm.hist1_canvas)
self.hist1_widget.canvas.draw()
# plot histogram 2
self.hist2_widget.canvas.figure.clear()
ax = self.hist2_widget.canvas.figure.subplots()
ax.clear()
ax.hist(dm.hist2_canvas)
self.hist2_widget.canvas.draw()
# plot miss attractive
self.attr_widget.canvas.figure.clear()
ax = self.attr_widget.canvas.figure.subplots()
ax.clear()
ax.axis('off')
ax.set_title('Miss Aesthetics')
ax.imshow(dm.attr_canvas)
self.attr_widget.canvas.draw()
# plot miss attractive
min, max, attr, avg, var = dm.get_age_data()
x = list(range(min, max))
self.ac_widget2.canvas.figure.clear()
ax = self.ac_widget2.canvas.figure.subplots()
ax.clear()
ax.set_title('Correlation of Aesthetics and Age')
for i in range(0, max - min):
for score in attr[i]:
ax.plot(min + i, score, '.')
print(str(min + i) + ' ' + str(score))
ax.plot(x, avg, '-', color='b')
self.ac_widget2.canvas.draw()
