file dict ssaved and loaded
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@ -13,6 +13,8 @@ import torchvision.transforms.functional as F
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from IPython import embed
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import pathlib
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NONE_CHECKED_CHECKER_COLORS = ['red', 'black']
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class ImageWithBbox(pg.GraphicsLayoutWidget):
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# class ImageWithBbox(pg.ImageView):
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def __init__(self, img_path, parent=None):
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@ -83,10 +85,7 @@ class Bbox_correct_UI(QMainWindow):
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super(Bbox_correct_UI, self).__init__(parent)
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self.data_path = data_path
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files = sorted(list(pathlib.Path(self.data_path).absolute().rglob('*images/*.png')))
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# embed()
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# quit()
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self.files = sorted(list(pathlib.Path(self.data_path).absolute().rglob('*images/*.png')))
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rec = QApplication.desktop().screenGeometry()
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height = rec.height()
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@ -102,7 +101,7 @@ class Bbox_correct_UI(QMainWindow):
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self.setCentralWidget(self.central_widget)
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# image widget
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self.current_img = ImageWithBbox(files[0], parent=self)
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self.current_img = ImageWithBbox(self.files[0], parent=self)
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self.central_Layout.addWidget(self.current_img, 4)
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# image select widget
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self.scroll = QScrollArea() # Scroll Area which contains the widgets, set as the centralWidget
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@ -111,13 +110,8 @@ class Bbox_correct_UI(QMainWindow):
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self.highlighted_label = None
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self.all_labels = []
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# embed()
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# quit()
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self.file_dict = pd.DataFrame(
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{'name': [f.name for f in files],
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'files': files,
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'text_color': ['red' for i in range(len(files))]} # change this to locked
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)
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self.load_or_create_file_dict()
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for i in range(len(self.file_dict)):
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label = QLabel(f'{self.file_dict["name"][i]}')
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@ -129,11 +123,11 @@ class Bbox_correct_UI(QMainWindow):
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if i == 0:
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label.setStyleSheet("border: 2px solid black; "
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"color : %s;" % (self.file_dict['text_color'][i]))
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"color : %s;" % (NONE_CHECKED_CHECKER_COLORS[self.file_dict['checked'][i]]))
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self.highlighted_label = label
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else:
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label.setStyleSheet("border: 1px solid gray; "
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"color : %s;" % (self.file_dict['text_color'][i]))
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"color : %s;" % (NONE_CHECKED_CHECKER_COLORS[self.file_dict['checked'][i]]))
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self.vbox.addWidget(label)
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self.all_labels.append(label)
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@ -148,21 +142,57 @@ class Bbox_correct_UI(QMainWindow):
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self.add_actions()
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def load_or_create_file_dict(self):
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csvs_im_data_path = list(pathlib.Path(self.data_path).absolute().rglob('*file_dict.csv'))
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if len(csvs_im_data_path) == 0:
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self.file_dict = pd.DataFrame(
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{'name': [f.name for f in self.files],
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'files': self.files,
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'checked': np.zeros(len(self.files), dtype=int)} # change this to locked
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)
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else:
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self.file_dict = pd.read_csv(csvs_im_data_path[0], sep=',')
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def save_file_dict(self):
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self.file_dict.to_csv(pathlib.Path(self.data_path)/'file_dict.csv', sep=',', index=False)
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def label_clicked(self, clicked_label):
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if self.highlighted_label:
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hl_mask = self.file_dict['name'] == self.highlighted_label.text()
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hl_label_name, _, hl_label_text_color = self.file_dict[hl_mask].values[0]
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hl_label_name, _, hl_checked = self.file_dict[hl_mask].values[0]
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self.highlighted_label.setStyleSheet("border: 1px solid gray; "
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"color: %s;" % (hl_label_text_color))
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"color: %s;" % (NONE_CHECKED_CHECKER_COLORS[hl_checked]))
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mask = self.file_dict['name'] == clicked_label.text()
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new_name, new_file, new_text_color = self.file_dict[mask].values[0]
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new_name, new_file, new_checked = self.file_dict[mask].values[0]
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clicked_label.setStyleSheet("border: 2px solid black;"
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"color: %s;" % (new_text_color))
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"color: %s;" % (NONE_CHECKED_CHECKER_COLORS[new_checked]))
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self.highlighted_label = clicked_label
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self.switch_to_new_file(new_file, new_name)
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def lock_file(self):
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hl_mask = self.file_dict['name'] == self.highlighted_label.text()
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hl_label_name, _, hl_checked = self.file_dict[hl_mask].values[0]
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# ToDo: do everything with the index instead of mask
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df_idx = self.file_dict.loc[self.file_dict['name'] == self.highlighted_label.text()].index.values[0]
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self.file_dict.at[df_idx, 'checked'] = 1
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self.highlighted_label.setStyleSheet("border: 1px solid gray; "
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"color: 'black';")
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new_idx = df_idx + 1 if df_idx < len(self.file_dict)-1 else 0
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new_name, new_file, new_checked = self.file_dict.iloc[new_idx].values
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self.all_labels[new_idx].setStyleSheet("border: 2px solid black;"
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"color: %s;" % (NONE_CHECKED_CHECKER_COLORS[new_checked]))
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self.highlighted_label = self.all_labels[new_idx]
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self.switch_to_new_file(new_file, new_name)
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def switch_to_new_file(self, new_file, new_name):
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self.readout_rois()
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@ -189,38 +219,18 @@ class Bbox_correct_UI(QMainWindow):
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new_labels = np.array(new_labels)
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np.savetxt(self.current_img.label_path, new_labels)
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def lock_file(self):
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hl_mask = self.file_dict['name'] == self.highlighted_label.text()
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hl_label_name, _, hl_label_text_color = self.file_dict[hl_mask].values[0]
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# ToDo: do everything with the index instead of mask
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df_idx = self.file_dict.loc[self.file_dict['name'] == self.highlighted_label.text()].index.values[0]
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self.file_dict.iloc[df_idx]['text_color'] = 'black'
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self.highlighted_label.setStyleSheet("border: 1px solid gray; "
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"color: 'black';")
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new_idx = df_idx + 1 if df_idx < len(self.file_dict)-1 else 0
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new_name, new_file, new_color = self.file_dict.iloc[new_idx].values
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self.all_labels[new_idx].setStyleSheet("border: 2px solid black;"
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"color: %s;" % (new_color))
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self.highlighted_label = self.all_labels[new_idx]
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self.switch_to_new_file(new_file, new_name)
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# embed()
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# quit()
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# go to next
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pass
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def add_actions(self):
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self.lock_file_act = QAction('loc', self)
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self.lock_file_act.triggered.connect(self.lock_file)
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self.lock_file_act.setShortcut(Qt.Key_Space)
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self.addAction(self.lock_file_act)
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def closeEvent(self, *args, **kwargs):
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super(QMainWindow, self).closeEvent(*args, **kwargs)
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self.readout_rois()
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self.save_file_dict()
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print ("you just closed the pyqt window!!! you are awesome!!!")
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def main_UI():
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app = QApplication(sys.argv) # create application
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data_path = sys.argv[1]
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