コード例 #1
0
    def _on_import_ontology_name(self):
        if not hasattr(self, "ontology_browser_diag"):
            self.ontology_browser_diag = CecogOntologyBrowserDialog(
                parent=self.browser)
            self.ontology_browser_diag.tw.trigger_add.connect(
                self._class_text.setText)

        self.ontology_browser_diag.show()
コード例 #2
0
ファイル: annotation.py プロジェクト: leloulight/cecog
    def _on_import_ontology_name(self):
        if not hasattr(self, "ontology_browser_diag"):
            self.ontology_browser_diag = CecogOntologyBrowserDialog(parent=self.browser)
            self.ontology_browser_diag.tw.trigger_add.connect(self._class_text.setText)

        self.ontology_browser_diag.show()
コード例 #3
0
class AnnotationModule(Module):

    NAME = 'Annotation'

    COLUMN_CLASS_NAME = 0
    COLUMN_CLASS_LABEL = 1
    COLUMN_CLASS_COLOR = 2
    COLUMN_CLASS_COUNT = 3

    COLUMN_ANN_PLATE = 0
    COLUMN_ANN_POSITION = 1
    COLUMN_ANN_TIME = 2
    COLUMN_ANN_SAMPLES = 3

    DEFAULT_CLASS_COLS = [
        "#4daf4a", "#ffff33", "#ff7f00", "#f781bf", "#984ea3", "#377eb8",
        "#e41a1c", "#a65628", "#999999"
    ]

    def __init__(self, parent, browser, settings, imagecontainer):
        Module.__init__(self, parent, browser)

        self._current_class = None
        self._detect_objects = False
        self._current_scene_items = set()

        self._settings = settings
        self._imagecontainer = imagecontainer

        self._annotations = Annotations()
        self._object_items = {}

        splitter = QSplitter(Qt.Vertical, self)

        grp_box = QGroupBox('Classes', splitter)
        layout = QBoxLayout(QBoxLayout.TopToBottom, grp_box)
        layout.setContentsMargins(5, 10, 5, 5)

        class_table = QTableWidget(grp_box)
        class_table.setEditTriggers(QTableWidget.NoEditTriggers)
        class_table.setSelectionMode(QTableWidget.SingleSelection)
        class_table.setSelectionBehavior(QTableWidget.SelectRows)
        class_table.setColumnCount(4)
        class_table.setHorizontalHeaderLabels(['Name', 'Label', 'Color', '#'])
        class_table.resizeColumnsToContents()
        class_table.currentItemChanged.connect(self._on_class_changed)
        layout.addWidget(class_table)
        self._class_table = class_table

        frame2 = QFrame(grp_box)
        layout2 = QBoxLayout(QBoxLayout.TopToBottom, frame2)
        layout2.setContentsMargins(0, 0, 0, 0)
        self._import_class_definitions_btn = QPushButton(
            'Import class definitions')
        layout2.addWidget(self._import_class_definitions_btn)
        self._import_class_definitions_btn.clicked.connect(
            self._on_import_class_definitions)

        self._import_ontology_name_btn = QPushButton(
            'Choose class name from ontology')
        self._import_ontology_name_btn.setToolTip(
            "Choose class name from ontology. E.g., CMPO\nNote: It might take some time starting the dialog the first time."
        )
        layout2.addWidget(self._import_ontology_name_btn)
        self._import_ontology_name_btn.clicked.connect(
            self._on_import_ontology_name)

        layout.addWidget(frame2)

        frame2 = QFrame(grp_box)
        layout2 = QBoxLayout(QBoxLayout.LeftToRight, frame2)
        layout2.setContentsMargins(0, 0, 0, 0)
        self._class_sbox = QSpinBox(frame2)
        self._class_color_btn = ColorButton(None, frame2)
        self._class_sbox.setRange(0, 1000)
        self._class_text = QLineEdit(frame2)
        layout2.addWidget(self._class_color_btn)
        layout2.addWidget(self._class_sbox)
        layout2.addWidget(self._class_text)
        layout.addWidget(frame2)

        frame2 = QFrame(grp_box)
        layout2 = QBoxLayout(QBoxLayout.LeftToRight, frame2)
        layout2.setContentsMargins(0, 0, 0, 0)
        btn = QPushButton('Apply', frame2)
        btn.clicked.connect(self._on_class_apply)
        layout2.addWidget(btn)
        btn = QPushButton('Add', frame2)
        btn.clicked.connect(self._on_class_add)
        layout2.addWidget(btn)
        btn = QPushButton('Remove', frame2)
        btn.clicked.connect(self._on_class_remove)
        layout2.addWidget(btn)
        layout.addWidget(frame2)

        splitter.addWidget(grp_box)

        grp_box = QGroupBox('Annotations', splitter)
        layout = QBoxLayout(QBoxLayout.TopToBottom, grp_box)
        layout.setContentsMargins(5, 10, 5, 5)

        ann_table = QTableWidget(grp_box)
        ann_table.setEditTriggers(QTableWidget.NoEditTriggers)
        ann_table.setSelectionMode(QTableWidget.SingleSelection)
        ann_table.setSelectionBehavior(QTableWidget.SelectRows)
        column_names = ['Position', 'Frame', 'Samples']
        if self._imagecontainer.has_multiple_plates:
            column_names = ['Plate'] + column_names
        ann_table.setColumnCount(len(column_names))
        ann_table.setHorizontalHeaderLabels(column_names)
        ann_table.resizeColumnsToContents()
        ann_table.currentItemChanged.connect(self._on_anntable_changed)
        layout.addWidget(ann_table)
        self._ann_table = ann_table
        splitter.addWidget(grp_box)

        frame = QFrame(grp_box)
        layout_frame = QBoxLayout(QBoxLayout.LeftToRight, frame)
        layout_frame.setContentsMargins(0, 0, 0, 0)
        btn = QPushButton('New', frame)
        btn.clicked.connect(self._on_new_classifier)
        layout_frame.addWidget(btn)
        btn = QPushButton('Open', frame)
        btn.clicked.connect(self._on_open_classifier)
        layout_frame.addWidget(btn)
        btn = QPushButton('Save', frame)
        btn.clicked.connect(self._on_save_classifier)
        layout_frame.addWidget(btn)
        btn = QPushButton('Save as', frame)
        btn.pressed.connect(self._on_saveas_classifier)
        layout_frame.addWidget(btn)
        layout.addWidget(frame)

        layout = QBoxLayout(QBoxLayout.TopToBottom, self)
        layout.setContentsMargins(5, 5, 5, 5)
        layout.addWidget(splitter)

        self._learner = self._init_new_classifier()

        self.browser._action_grp = QActionGroup(browser)
        class_fct = lambda id: lambda: self._on_shortcut_class_selected(id)
        for x in range(1, 11):
            action = browser.create_action(
                'Select Class Label %d' % x,
                shortcut=QKeySequence(str(x) if x < 10 else '0'),
                slot=class_fct(x))
            self.browser._action_grp.addAction(action)

            browser.addAction(action)

        browser.show_objects_toggled.connect(self._on_show_objects)
        browser.show_contours_toggled.connect(self._on_show_contours_toggled)

    def _find_items_in_class_table(self, value, column, match=Qt.MatchExactly):
        items = self._class_table.findItems(value, match)
        return [item for item in items if item.column() == column]

    def _on_import_ontology_name(self):
        if not hasattr(self, "ontology_browser_diag"):
            self.ontology_browser_diag = CecogOntologyBrowserDialog(
                parent=self.browser)
            self.ontology_browser_diag.tw.trigger_add.connect(
                self._class_text.setText)

        self.ontology_browser_diag.show()

    def _on_import_class_definitions(self):
        if self._on_new_classifier():
            path = None
            try:
                path = self._learner.clf_dir
            except:
                pass
            if path is None:
                path = os.path.expanduser('~')
            result = QFileDialog.getExistingDirectory(
                self, 'Open classifier directory', os.path.abspath(path))

            if result:
                learner = self._load_classifier(result)
                if learner is not None:
                    self._learner = learner
                    self._update_class_definition_table()
                    self._learner.unset_clf_dir()

    def _update_class_definition_table(self):
        class_table = self._class_table
        class_table.clearContents()
        class_table.setRowCount(len(self._learner.class_labels))
        select_item = None
        for idx, class_label in enumerate(self._learner.class_names):
            samples = 0
            class_name = self._learner.class_names[class_label]
            item = QTableWidgetItem(class_name)
            class_table.setItem(idx, self.COLUMN_CLASS_NAME, item)
            if select_item is None:
                select_item = item
            class_table.setItem(idx, self.COLUMN_CLASS_LABEL,
                                QTableWidgetItem(str(class_label)))
            class_table.setItem(idx, self.COLUMN_CLASS_COUNT,
                                QTableWidgetItem(str(samples)))
            item = QTableWidgetItem(' ')
            item.setBackground(
                QBrush(QColor(self._learner.hexcolors[class_name])))
            class_table.setItem(idx, self.COLUMN_CLASS_COLOR, item)
        class_table.resizeColumnsToContents()
        class_table.resizeRowsToContents()

        self._activate_objects_for_image(False, clear=True)

    def _on_class_apply(self):
        '''
        Apply class changes
        '''
        learner = self._learner

        class_name_new = str(self._class_text.text())
        class_label_new = self._class_sbox.value()
        class_name = self._current_class

        if not class_name is None:
            class_label = learner.class_labels[class_name]

            class_labels = learner.class_labels.values()
            class_labels.remove(class_label)
            class_names = learner.class_names.values()
            class_names.remove(class_name)

            if len(class_name_new) == 0:
                warning(self,
                        "Invalid class name",
                        info="The class name must not be empty!")
            elif (not class_name_new in class_names
                  and not class_label_new in class_labels):

                del learner.class_names[class_label]
                del learner.class_labels[class_name]
                del learner.hexcolors[class_name]

                item = self._find_items_in_class_table(
                    class_name, self.COLUMN_CLASS_NAME)[0]

                learner.class_names[class_label_new] = class_name_new
                learner.class_labels[class_name_new] = class_label_new
                class_color = self._class_color_btn.current_color
                learner.hexcolors[class_name_new] = \
                    qcolor_to_hex(class_color)

                item.setText(class_name_new)
                item2 = self._class_table.item(item.row(),
                                               self.COLUMN_CLASS_LABEL)
                item2.setText(str(class_label_new))
                item2 = self._class_table.item(item.row(),
                                               self.COLUMN_CLASS_COLOR)
                item2.setBackground(QBrush(class_color))

                col = get_qcolor_hicontrast(class_color)
                self._class_table.resizeRowsToContents()
                self._class_table.resizeColumnsToContents()
                self._class_table.scrollToItem(item)

                self._annotations.rename_class(class_name, class_name_new)
                self._current_class = class_name_new
                self._activate_objects_for_image(False)
                self._activate_objects_for_image(True)
            else:
                warning(self, "Class names and labels must be unique!",
                        info="Class name '%s' or label '%s' already used." %\
                             (class_name_new, class_label_new))

    def _on_class_add(self):
        """Add a new class to definition"""

        learner = self._learner
        class_name_new = str(self._class_text.text())
        class_label_new = self._class_sbox.value()

        class_labels = learner.class_labels.values()
        class_names = learner.class_names.values()

        if len(class_name_new) == 0:
            warning(self,
                    "Invalid class name",
                    info="The class name must not be empty!")
        elif (not class_name_new in class_names
              and not class_label_new in class_labels):
            self._current_class = class_name_new

            learner.class_names[class_label_new] = class_name_new
            learner.class_labels[class_name_new] = class_label_new
            class_color = self._class_color_btn.current_color
            learner.hexcolors[class_name_new] = \
                qcolor_to_hex(class_color)

            row = self._class_table.rowCount()
            self._class_table.insertRow(row)
            self._class_table.setItem(row, self.COLUMN_CLASS_NAME,
                                      QTableWidgetItem(class_name_new))
            self._class_table.setItem(row, self.COLUMN_CLASS_LABEL,
                                      QTableWidgetItem(str(class_label_new)))
            self._class_table.setItem(row, self.COLUMN_CLASS_COUNT,
                                      QTableWidgetItem('0'))
            item = QTableWidgetItem()
            item.setBackground(QBrush(class_color))
            self._class_table.setItem(row, self.COLUMN_CLASS_COLOR, item)
            self._class_table.resizeRowsToContents()
            self._class_table.resizeColumnsToContents()
            self._class_table.setCurrentItem(item)

            ncl = len(learner.class_names) + 1
            self._class_text.setText('class%d' % ncl)
            self._class_sbox.setValue(ncl)

            self._class_color_btn.set_color(
                QColor(AnnotationModule.DEFAULT_CLASS_COLS[(ncl -1) \
                   % len(AnnotationModule.DEFAULT_CLASS_COLS)]))
        else:
            warning(self, "Class names and labels must be unique!",
                    info="Class name '%s' or label '%s' already used." %\
                         (class_name_new, class_label_new))

    def _on_class_remove(self):
        '''
        Remove a class and all its annotations
        '''
        class_name = self._current_class
        if (not class_name is None and
            question(self, "Do you really want to remove class '%s'?" % \
                     class_name,
                     info="All %d annotations will be lost." % \
                     self._annotations.get_count_for_class(class_name))):

            self._activate_objects_for_image(False)
            learner = self._learner
            class_label = learner.class_labels[class_name]
            del learner.class_labels[class_name]
            del learner.class_names[class_label]
            del learner.hexcolors[class_name]

            item = self._find_items_in_class_table(class_name,
                                                   self.COLUMN_CLASS_NAME)[0]
            row = item.row()
            self._class_table.removeRow(row)
            self._annotations.remove_class(class_name)
            self._activate_objects_for_image(True, clear=True)

            row_count = self._class_table.rowCount()
            if row_count > 0:
                row = row if row < row_count else row_count - 1
                item = self._class_table.item(row, self.COLUMN_CLASS_NAME)
                self._class_table.setCurrentItem(item)
            else:
                self._update_annotation_table()

    def _init_new_classifier(self):
        learner = BaseLearner(None, None, None)
        self._current_class = None
        self._class_sbox.setValue(1)
        self._class_text.setText('class1')
        self._class_color_btn.set_color(QColor(self.DEFAULT_CLASS_COLS[0]))
        class_table = self._class_table
        class_table.clearContents()
        class_table.setRowCount(0)
        ann_table = self._ann_table
        ann_table.clearContents()
        ann_table.setRowCount(0)
        if self._detect_objects:
            self._activate_objects_for_image(False, clear=True)
        self._annotations.remove_all()
        return learner

    def _on_new_classifier(self):
        ok = False
        if question(
                self, 'New classifier',
                'Are you sure to setup a new classifer?\nAll annotations '
                'will be lost.'):
            self._learner = self._init_new_classifier()
            ok = True

        return ok

    def _on_open_classifier(self):
        try:
            path = os.path.abspath(self._learner.clf_dir)
        except:
            path = os.path.expanduser('~/')

        result = QFileDialog.getExistingDirectory( \
            self, 'Open classifier directory', path)
        if result:
            learner = self._load_classifier(result)
            if not learner is None:
                self._learner = learner
                self._update_class_definition_table()

                self._activate_objects_for_image(False, clear=True)
                path2 = learner.annotations_dir
                try:
                    has_invalid = self._annotations.import_from_xml(
                        path2, learner.class_names, self._imagecontainer)
                except:
                    exception(self, "Problems loading annotation data...")
                    self._learner = self._init_new_classifier()
                else:
                    self._activate_objects_for_image(True)
                    self._update_class_table()
                    if self._class_table.rowCount() > 0:
                        self._class_table.setCurrentCell(
                            0, self.COLUMN_CLASS_NAME)
                    else:
                        self._current_class = None

                    information(
                        self, "Classifier successfully loaded",
                        "Class definitions and annotations "
                        "successfully loaded from '%s'." % result)
                finally:
                    coord = self.browser.get_coordinate()
                    self._imagecontainer.set_plate(coord.plate)

    def _on_save_classifier(self):
        learner = self._learner
        path = learner.clf_dir
        self._on_saveas_classifier(path)

    def _on_saveas_classifier(self, path=None):
        learner = self._learner
        if path is None:
            path = os.path.expanduser("~")
            result = QFileDialog.getExistingDirectory(
                self, 'Save to classifier directory', os.path.abspath(path))
        else:
            result = path

        if result:
            if self._save_classifier(result):
                try:
                    path2 = learner.annotations_dir
                    filenames = os.listdir(path2)
                    filenames = [
                        os.path.join(path2, f) for f in filenames
                        if os.path.isfile(os.path.join(path2, f))
                        and os.path.splitext(f)[1].lower() == '.xml'
                    ]
                    fmt = time.strftime('_backup__%Y%m%d_%H%M%S')
                    path_backup = os.path.join(path2, fmt)
                    makedirs(path_backup)
                    for filename in filenames:
                        shutil.copy2(filename, path_backup)
                        os.remove(filename)
                    self._annotations.export_to_xml(path2,
                                                    learner.class_labels,
                                                    self._imagecontainer)
                except:
                    exception(self, "Problems saving annotation data...")
                else:
                    information(
                        self, "Classifier successfully saved",
                        "Class definitions and annotations "
                        "successfully saved to '%s'." % result)
                finally:
                    coord = self.browser.get_coordinate()
                    self._imagecontainer.set_plate(coord.plate)

    def _activate_objects_for_image(self, state, clear=False):
        '''
        activate or
        '''
        if clear:
            self._object_items.clear()
        coordinate = self.browser.get_coordinate()
        for class_name, tpl in self._annotations.iter_items(coordinate):
            point = QPointF(*tpl)
            item = self.browser.image_viewer.get_object_item(point)
            if not item is None:
                if not item in self._object_items:
                    self._object_items[item] = point
                self._activate_object(item, point, class_name, state=state)

    def _update_class_table(self):
        """Udate the class count for the class table"""

        counts = self._annotations.get_class_counts()
        for class_name in self._learner.class_names.values():
            if class_name in counts:
                items = self._find_items_in_class_table(
                    class_name, self.COLUMN_CLASS_NAME)

                item = self._class_table.item(items[0].row(),
                                              self.COLUMN_CLASS_COUNT)
                item.setText(str(counts[class_name]))

    def _update_annotation_table(self):
        '''
        update the annotation table. set the annotation coordinates for
        the current class
        '''
        per_class = \
            self._annotations.get_annotations_per_class(self._current_class)
        ann_table = self._ann_table
        ann_table.blockSignals(True)
        ann_table.clearContents()
        ann_table.setRowCount(len(per_class))
        for idx, data in enumerate(per_class):
            plate, position, time, nr_samples = data
            # plateid in m.plateids
            #if position in m.positions and time in m.times:
            flags = Qt.ItemIsEnabled | Qt.ItemIsSelectable
            tooltip = 'Jump to coordinate to see the annotation.'
            # make plate information dependent whether the data set contains
            # multiple plates
            if self._imagecontainer.has_multiple_plates:
                item = QTableWidgetItem(plate)
                item.setFlags(flags)
                item.setToolTip(tooltip)
                ann_table.setItem(idx, self.COLUMN_ANN_PLATE, item)
                offset = 0
            else:
                offset = 1

            item = QTableWidgetItem(position)
            item.setFlags(flags)
            item.setToolTip(tooltip)
            ann_table.setItem(idx, self.COLUMN_ANN_POSITION - offset, item)
            item = QTableWidgetItem(str(time))
            item.setFlags(flags)
            item.setToolTip(tooltip)
            ann_table.setItem(idx, self.COLUMN_ANN_TIME - offset, item)
            item = QTableWidgetItem(str(nr_samples))
            item.setFlags(flags)
            item.setToolTip(tooltip)
            ann_table.setItem(idx, self.COLUMN_ANN_SAMPLES - offset, item)

        ann_table.resizeColumnsToContents()
        ann_table.resizeRowsToContents()
        coordinate = self.browser.get_coordinate()
        self._find_annotation_row(coordinate)
        ann_table.blockSignals(False)

    def _find_annotation_row(self, coordinate):
        if self._imagecontainer.has_multiple_plates:
            items1 = self._ann_table.findItems(coordinate.plate,
                                               Qt.MatchExactly)
            rows1 = set(x.row() for x in items1)
            offset = 0
        else:
            rows1 = set(range(self._ann_table.rowCount()))
            offset = 1

        items2 = self._ann_table.findItems(coordinate.position,
                                           Qt.MatchExactly)
        items3 = self._ann_table.findItems(str(coordinate.time),
                                           Qt.MatchExactly)
        items2 = [
            x for x in items2 if x.row() in rows1 and x.column() == 1 - offset
        ]
        rows2 = set(x.row() for x in items2)
        items3 = [
            x for x in items3 if x.row() in rows2 and x.column() == 2 - offset
        ]
        assert len(items3) in [0, 1]
        if len(items3) == 1:
            self._ann_table.setCurrentItem(items3[0])
        else:
            self._ann_table.clearSelection()

    def _on_new_point(self, point, button, modifier):
        item = self.browser.image_viewer.get_object_item(point)
        if button == Qt.LeftButton and not item is None:

            coordinate = self.browser.get_coordinate()
            old_class = None
            # remove the item if already present
            if item in self._object_items:
                point2 = self._object_items[item]
                tpl = (int(point2.x()), int(point2.y()))

                old_class = \
                    self._annotations.get_class_name(coordinate, tpl)
                self._annotations.remove(coordinate, tpl)
                del self._object_items[item]
                self._activate_object(item, point, self._current_class, False)

            # mark a new item only if the shift-key is not pressed, a class
            # is currently active and the class name is different
            if (modifier != Qt.ShiftModifier
                    and not self._current_class is None
                    and old_class != self._current_class):
                tpl = (int(point.x()), int(point.y()))
                self._annotations.add(coordinate, self._current_class, tpl)
                self._object_items[item] = point
                self._activate_object(item, point, self._current_class, True)

            self._update_class_table()
            self._update_annotation_table()

    def _on_dbl_clk(self, point):
        pass

    def _activate_object(self, item, point, class_name, state=True):
        if state:
            color = \
                QColor(*hex2rgb(self._learner.hexcolors[class_name]))
            label = self._learner.class_labels[class_name]
            item2 = QGraphicsSimpleTextItem(str(label), item)
            rect = item2.boundingRect()
            # center the text item at the annotated point
            item2.setPos(point - QPointF(rect.width() / 2, rect.height() / 2))
            item2.setPen(QPen(color))
            item2.setBrush(QBrush(color))
            item2.show()
        else:
            color = self.browser.image_viewer.contour_color
            scene = item.scene()
            for item2 in item.childItems():
                scene.removeItem(item2)
        item.set_pen_color(color)
        obj_id = item.data(0)
        return obj_id

    def _on_coordinates_changed(self, coordinate):
        self._find_annotation_row(coordinate)

    def _on_anntable_changed(self, current, previous):
        if not current is None:
            if self._imagecontainer.has_multiple_plates:
                offset = 0
                plate = self._ann_table.item(current.row(),
                                             self.COLUMN_ANN_PLATE).text()
            else:
                offset = 1
                plate = self._imagecontainer.plates[0]
            col = self.COLUMN_ANN_POSITION - offset
            position = self._ann_table.item(current.row(), col).text()
            col = self.COLUMN_ANN_TIME - offset
            time = int(self._ann_table.item(current.row(), col).text())
            coordinate = Coordinate(plate=plate, position=position, time=time)
            try:
                self.browser.set_coordinate(coordinate)
            except:
                exception(
                    self, "Selected coordinate was not found. "
                    "Make sure the data and annotation match and "
                    "that the data was scanned/imported correctly.")

    def _on_class_changed(self, current, previous):
        if not current is None:
            item = self._class_table.item(current.row(),
                                          self.COLUMN_CLASS_NAME)
            class_name = str(item.text())
            self._current_class = class_name
            hex_col = self._learner.hexcolors[class_name]
            col = get_qcolor_hicontrast(QColor(hex_col))
            class_table = self._class_table
            class_table.scrollToItem(item)
            self._class_text.setText(class_name)
            class_label = self._learner.class_labels[class_name]
            self._class_sbox.setValue(class_label)
            self._class_color_btn.set_color(QColor(hex_col))

            self._update_annotation_table()
        else:
            self._current_class = None

    def _on_show_contours_toggled(self, state):
        if self.isVisible():
            self._activate_objects_for_image(True)

    def _on_show_objects(self, state):
        if not state:
            self._object_items.clear()
        self._detect_objects = state

    def _on_shortcut_class_selected(self, class_label):
        items = self._find_items_in_class_table(str(class_label),
                                                self.COLUMN_CLASS_LABEL)
        if len(items) == 1:
            self.class_table.setCurrentItem(items[0])

    def _load_classifier(self, path):
        learner = None
        try:
            learner = BaseLearner(path, None, None)
        except:
            exception(self, 'Error on loading classifier')
        else:
            state = learner.state
            if state['has_definition']:
                learner.loadDefinition()
        return learner

    def _save_classifier(self, path):
        learner = self._learner
        success = True
        try:
            learner.clf_dir = path
            learner.saveDefinition()
        except:
            exception(self, 'Error on saving classifier')
            success = False
        return success

    def set_coords(self):
        if self.isVisible():
            self._activate_objects_for_image(True, clear=True)
            self._update_class_table()

    def activate(self):
        super(AnnotationModule, self).activate()
        self._activate_objects_for_image(True, clear=True)
        self._update_class_table()
        self.browser.image_viewer.image_mouse_pressed.connect(
            self._on_new_point)
        self.browser._action_grp.setEnabled(True)
        self._find_annotation_row(self.browser.get_coordinate())

    def deactivate(self):
        super(AnnotationModule, self).deactivate()
        self._activate_objects_for_image(False, clear=True)
        self.browser.image_viewer.image_mouse_pressed.disconnect(
            self._on_new_point)
        self.browser.image_viewer.purify_objects()
        self.browser._action_grp.setEnabled(False)
コード例 #4
0
ファイル: annotation.py プロジェクト: leloulight/cecog
class AnnotationModule(Module):

    NAME = 'Annotation'

    COLUMN_CLASS_NAME = 0
    COLUMN_CLASS_LABEL = 1
    COLUMN_CLASS_COLOR = 2
    COLUMN_CLASS_COUNT = 3

    COLUMN_ANN_PLATE = 0
    COLUMN_ANN_POSITION = 1
    COLUMN_ANN_TIME = 2
    COLUMN_ANN_SAMPLES = 3

    DEFAULT_CLASS_COLS = ["#4daf4a", "#ffff33", "#ff7f00", "#f781bf",
                          "#984ea3", "#377eb8", "#e41a1c", "#a65628",
                          "#999999"]

    def __init__(self, parent, browser, settings, imagecontainer):
        Module.__init__(self, parent, browser)

        self._current_class = None
        self._detect_objects = False
        self._current_scene_items = set()

        self._settings = settings
        self._imagecontainer = imagecontainer

        self._annotations = Annotations()
        self._object_items = {}

        splitter = QSplitter(Qt.Vertical, self)

        grp_box = QGroupBox('Classes', splitter)
        layout = QBoxLayout(QBoxLayout.TopToBottom, grp_box)
        layout.setContentsMargins(5, 10, 5, 5)

        class_table = QTableWidget(grp_box)
        class_table.setEditTriggers(QTableWidget.NoEditTriggers)
        class_table.setSelectionMode(QTableWidget.SingleSelection)
        class_table.setSelectionBehavior(QTableWidget.SelectRows)
        class_table.setColumnCount(4)
        class_table.setHorizontalHeaderLabels(['Name', 'Label', 'Color', '#'])
        class_table.resizeColumnsToContents()
        class_table.currentItemChanged.connect(self._on_class_changed)
        layout.addWidget(class_table)
        self._class_table = class_table

        frame2 = QFrame(grp_box)
        layout2 = QBoxLayout(QBoxLayout.TopToBottom, frame2)
        layout2.setContentsMargins(0,0,0,0)
        self._import_class_definitions_btn = QPushButton('Import class definitions')
        layout2.addWidget(self._import_class_definitions_btn)
        self._import_class_definitions_btn.clicked.connect(self._on_import_class_definitions)

        self._import_ontology_name_btn = QPushButton('Choose class name from ontology')
        self._import_ontology_name_btn.setToolTip("Choose class name from ontology. E.g., CMPO\nNote: It might take some time starting the dialog the first time.")
        layout2.addWidget(self._import_ontology_name_btn)
        self._import_ontology_name_btn.clicked.connect(self._on_import_ontology_name)


        layout.addWidget(frame2)

        frame2 = QFrame(grp_box)
        layout2 = QBoxLayout(QBoxLayout.LeftToRight, frame2)
        layout2.setContentsMargins(0,0,0,0)
        self._class_sbox = QSpinBox(frame2)
        self._class_color_btn = ColorButton(None, frame2)
        self._class_sbox.setRange(0, 1000)
        self._class_text = QLineEdit(frame2)
        layout2.addWidget(self._class_color_btn)
        layout2.addWidget(self._class_sbox)
        layout2.addWidget(self._class_text)
        layout.addWidget(frame2)

        frame2 = QFrame(grp_box)
        layout2 = QBoxLayout(QBoxLayout.LeftToRight, frame2)
        layout2.setContentsMargins(0,0,0,0)
        btn = QPushButton('Apply', frame2)
        btn.clicked.connect(self._on_class_apply)
        layout2.addWidget(btn)
        btn = QPushButton('Add', frame2)
        btn.clicked.connect(self._on_class_add)
        layout2.addWidget(btn)
        btn = QPushButton('Remove', frame2)
        btn.clicked.connect(self._on_class_remove)
        layout2.addWidget(btn)
        layout.addWidget(frame2)

        splitter.addWidget(grp_box)


        grp_box = QGroupBox('Annotations', splitter)
        layout = QBoxLayout(QBoxLayout.TopToBottom, grp_box)
        layout.setContentsMargins(5, 10, 5, 5)

        ann_table = QTableWidget(grp_box)
        ann_table.setEditTriggers(QTableWidget.NoEditTriggers)
        ann_table.setSelectionMode(QTableWidget.SingleSelection)
        ann_table.setSelectionBehavior(QTableWidget.SelectRows)
        column_names = ['Position', 'Frame', 'Samples']
        if self._imagecontainer.has_multiple_plates:
            column_names = ['Plate'] + column_names
        ann_table.setColumnCount(len(column_names))
        ann_table.setHorizontalHeaderLabels(column_names)
        ann_table.resizeColumnsToContents()
        ann_table.currentItemChanged.connect(self._on_anntable_changed)
        layout.addWidget(ann_table)
        self._ann_table = ann_table
        splitter.addWidget(grp_box)


        frame = QFrame(grp_box)
        layout_frame = QBoxLayout(QBoxLayout.LeftToRight, frame)
        layout_frame.setContentsMargins(0, 0, 0, 0)
        btn = QPushButton('New', frame)
        btn.clicked.connect(self._on_new_classifier)
        layout_frame.addWidget(btn)
        btn = QPushButton('Open', frame)
        btn.clicked.connect(self._on_open_classifier)
        layout_frame.addWidget(btn)
        btn = QPushButton('Save', frame)
        btn.clicked.connect(self._on_save_classifier)
        layout_frame.addWidget(btn)
        btn = QPushButton('Save as', frame)
        btn.pressed.connect(self._on_saveas_classifier)
        layout_frame.addWidget(btn)
        layout.addWidget(frame)

        layout = QBoxLayout(QBoxLayout.TopToBottom, self)
        layout.setContentsMargins(5, 5, 5, 5)
        layout.addWidget(splitter)


        self._learner = self._init_new_classifier()

        self.browser._action_grp = QActionGroup(browser)
        class_fct = lambda id: lambda : self._on_shortcut_class_selected(id)
        for x in range(1,11):
            action = browser.create_action(
                'Select Class Label %d' % x,
                 shortcut=QKeySequence(str(x) if x < 10 else '0'),
                 slot=class_fct(x))
            self.browser._action_grp.addAction(action)

            browser.addAction(action)

        browser.show_objects_toggled.connect(self._on_show_objects)
        browser.show_contours_toggled.connect(self._on_show_contours_toggled)

    def _find_items_in_class_table(self, value, column, match=Qt.MatchExactly):
        items = self._class_table.findItems(value, match)
        return [item for item in items if item.column() == column]

    def _on_import_ontology_name(self):
        if not hasattr(self, "ontology_browser_diag"):
            self.ontology_browser_diag = CecogOntologyBrowserDialog(parent=self.browser)
            self.ontology_browser_diag.tw.trigger_add.connect(self._class_text.setText)

        self.ontology_browser_diag.show()

    def _on_import_class_definitions(self):
        if self._on_new_classifier():
            path = None
            try:
                path = self._learner.clf_dir
            except:
                pass
            if path is None:
                path = os.path.expanduser('~')
            result = QFileDialog.getExistingDirectory(
                self, 'Open classifier directory', os.path.abspath(path))

            if result:
                learner = self._load_classifier(result)
                if learner is not None:
                    self._learner = learner
                    self._update_class_definition_table()
                    self._learner.unset_clf_dir()

    def _update_class_definition_table(self):
        class_table = self._class_table
        class_table.clearContents()
        class_table.setRowCount(len(self._learner.class_labels))
        select_item = None
        for idx, class_label in enumerate(self._learner.class_names):
            samples = 0
            class_name = self._learner.class_names[class_label]
            item = QTableWidgetItem(class_name)
            class_table.setItem(idx, self.COLUMN_CLASS_NAME, item)
            if select_item is None:
                select_item = item
            class_table.setItem(idx, self.COLUMN_CLASS_LABEL,
                                QTableWidgetItem(str(class_label)))
            class_table.setItem(idx, self.COLUMN_CLASS_COUNT,
                                QTableWidgetItem(str(samples)))
            item = QTableWidgetItem(' ')
            item.setBackground(
                QBrush(QColor(self._learner.hexcolors[class_name])))
            class_table.setItem(idx, self.COLUMN_CLASS_COLOR, item)
        class_table.resizeColumnsToContents()
        class_table.resizeRowsToContents()

        self._activate_objects_for_image(False, clear=True)

    def _on_class_apply(self):
        '''
        Apply class changes
        '''
        learner = self._learner

        class_name_new = str(self._class_text.text())
        class_label_new = self._class_sbox.value()
        class_name = self._current_class

        if not class_name is None:
            class_label = learner.class_labels[class_name]

            class_labels = learner.class_labels.values()
            class_labels.remove(class_label)
            class_names = learner.class_names.values()
            class_names.remove(class_name)

            if len(class_name_new) == 0:
                warning(self, "Invalid class name",
                        info="The class name must not be empty!")
            elif (not class_name_new in class_names and
                  not class_label_new in class_labels):

                del learner.class_names[class_label]
                del learner.class_labels[class_name]
                del learner.hexcolors[class_name]

                item = self._find_items_in_class_table(class_name,
                                                       self.COLUMN_CLASS_NAME)[0]

                learner.class_names[class_label_new] = class_name_new
                learner.class_labels[class_name_new] = class_label_new
                class_color = self._class_color_btn.current_color
                learner.hexcolors[class_name_new] = \
                    qcolor_to_hex(class_color)

                item.setText(class_name_new)
                item2 = self._class_table.item(item.row(),
                                               self.COLUMN_CLASS_LABEL)
                item2.setText(str(class_label_new))
                item2 = self._class_table.item(item.row(),
                                               self.COLUMN_CLASS_COLOR)
                item2.setBackground(QBrush(class_color))

                col = get_qcolor_hicontrast(class_color)
                self._class_table.resizeRowsToContents()
                self._class_table.resizeColumnsToContents()
                self._class_table.scrollToItem(item)

                self._annotations.rename_class(class_name, class_name_new)
                self._current_class = class_name_new
                self._activate_objects_for_image(False)
                self._activate_objects_for_image(True)
            else:
                warning(self, "Class names and labels must be unique!",
                        info="Class name '%s' or label '%s' already used." %\
                             (class_name_new, class_label_new))

    def _on_class_add(self):
        """Add a new class to definition"""

        learner = self._learner
        class_name_new = str(self._class_text.text())
        class_label_new = self._class_sbox.value()

        class_labels = learner.class_labels.values()
        class_names = learner.class_names.values()

        if len(class_name_new) == 0:
            warning(self, "Invalid class name",
                    info="The class name must not be empty!")
        elif (not class_name_new in class_names and
              not class_label_new in class_labels):
            self._current_class = class_name_new

            learner.class_names[class_label_new] = class_name_new
            learner.class_labels[class_name_new] = class_label_new
            class_color = self._class_color_btn.current_color
            learner.hexcolors[class_name_new] = \
                qcolor_to_hex(class_color)

            row = self._class_table.rowCount()
            self._class_table.insertRow(row)
            self._class_table.setItem(row, self.COLUMN_CLASS_NAME,
                                      QTableWidgetItem(class_name_new))
            self._class_table.setItem(row, self.COLUMN_CLASS_LABEL,
                                      QTableWidgetItem(str(class_label_new)))
            self._class_table.setItem(row, self.COLUMN_CLASS_COUNT,
                                      QTableWidgetItem('0'))
            item = QTableWidgetItem()
            item.setBackground(QBrush(class_color))
            self._class_table.setItem(row, self.COLUMN_CLASS_COLOR, item)
            self._class_table.resizeRowsToContents()
            self._class_table.resizeColumnsToContents()
            self._class_table.setCurrentItem(item)

            ncl = len(learner.class_names)+1
            self._class_text.setText('class%d' % ncl)
            self._class_sbox.setValue(ncl)

            self._class_color_btn.set_color(
                QColor(AnnotationModule.DEFAULT_CLASS_COLS[(ncl -1) \
                   % len(AnnotationModule.DEFAULT_CLASS_COLS)]))
        else:
            warning(self, "Class names and labels must be unique!",
                    info="Class name '%s' or label '%s' already used." %\
                         (class_name_new, class_label_new))

    def _on_class_remove(self):
        '''
        Remove a class and all its annotations
        '''
        class_name = self._current_class
        if (not class_name is None and
            question(self, "Do you really want to remove class '%s'?" % \
                     class_name,
                     info="All %d annotations will be lost." % \
                     self._annotations.get_count_for_class(class_name))):

            self._activate_objects_for_image(False)
            learner = self._learner
            class_label = learner.class_labels[class_name]
            del learner.class_labels[class_name]
            del learner.class_names[class_label]
            del learner.hexcolors[class_name]

            item = self._find_items_in_class_table(class_name,
                                                   self.COLUMN_CLASS_NAME)[0]
            row = item.row()
            self._class_table.removeRow(row)
            self._annotations.remove_class(class_name)
            self._activate_objects_for_image(True, clear=True)

            row_count = self._class_table.rowCount()
            if row_count > 0:
                row = row if row < row_count else row_count-1
                item = self._class_table.item(row, self.COLUMN_CLASS_NAME)
                self._class_table.setCurrentItem(item)
            else:
                self._update_annotation_table()

    def _init_new_classifier(self):
        learner = BaseLearner(None, None, None)
        self._current_class = None
        self._class_sbox.setValue(1)
        self._class_text.setText('class1')
        self._class_color_btn.set_color(QColor(self.DEFAULT_CLASS_COLS[0]))
        class_table = self._class_table
        class_table.clearContents()
        class_table.setRowCount(0)
        ann_table = self._ann_table
        ann_table.clearContents()
        ann_table.setRowCount(0)
        if self._detect_objects:
            self._activate_objects_for_image(False, clear=True)
        self._annotations.remove_all()
        return learner

    def _on_new_classifier(self):
        ok = False
        if question(self, 'New classifier',
                    'Are you sure to setup a new classifer?\nAll annotations '
                    'will be lost.'):
            self._learner = self._init_new_classifier()
            ok = True

        return ok

    def _on_open_classifier(self):
        try:
            path = os.path.abspath(self._learner.clf_dir)
        except:
            path = os.path.expanduser('~/')

        result = QFileDialog.getExistingDirectory( \
            self, 'Open classifier directory', path)
        if result:
            learner = self._load_classifier(result)
            if not learner is None:
                self._learner = learner
                self._update_class_definition_table()

                self._activate_objects_for_image(False, clear=True)
                path2 = learner.annotations_dir
                try:
                    has_invalid = self._annotations.import_from_xml(
                        path2, learner.class_names, self._imagecontainer)
                except:
                    exception(self, "Problems loading annotation data...")
                    self._learner = self._init_new_classifier()
                else:
                    self._activate_objects_for_image(True)
                    self._update_class_table()
                    if self._class_table.rowCount() > 0:
                        self._class_table.setCurrentCell(
                            0, self.COLUMN_CLASS_NAME)
                    else:
                        self._current_class = None

                    information(self, "Classifier successfully loaded",
                                "Class definitions and annotations "
                                "successfully loaded from '%s'." % result)
                finally:
                    coord = self.browser.get_coordinate()
                    self._imagecontainer.set_plate(coord.plate)

    def _on_save_classifier(self):
        learner = self._learner
        path = learner.clf_dir
        self._on_saveas_classifier(path)

    def _on_saveas_classifier(self, path=None):
        learner = self._learner
        if path is None:
            path = os.path.expanduser("~")
            result = QFileDialog.getExistingDirectory(
                self, 'Save to classifier directory', os.path.abspath(path))
        else:
            result = path

        if result:
            if self._save_classifier(result):
                try:
                    path2 = learner.annotations_dir
                    filenames = os.listdir(path2)
                    filenames = [os.path.join(path2, f) for f in filenames
                                 if os.path.isfile(os.path.join(path2, f)) and
                                 os.path.splitext(f)[1].lower() == '.xml']
                    fmt = time.strftime('_backup__%Y%m%d_%H%M%S')
                    path_backup = os.path.join(path2, fmt)
                    makedirs(path_backup)
                    for filename in filenames:
                        shutil.copy2(filename, path_backup)
                        os.remove(filename)
                    self._annotations.export_to_xml(path2,
                                                    learner.class_labels,
                                                    self._imagecontainer)
                except:
                    exception(self, "Problems saving annotation data...")
                else:
                    information(self, "Classifier successfully saved",
                                "Class definitions and annotations "
                                "successfully saved to '%s'." % result)
                finally:
                    coord = self.browser.get_coordinate()
                    self._imagecontainer.set_plate(coord.plate)

    def _activate_objects_for_image(self, state, clear=False):
        '''
        activate or
        '''
        if clear:
            self._object_items.clear()
        coordinate = self.browser.get_coordinate()
        for class_name, tpl in self._annotations.iter_items(coordinate):
            point = QPointF(*tpl)
            item = self.browser.image_viewer.get_object_item(point)
            if not item is None:
                if not item in self._object_items:
                    self._object_items[item] = point
                self._activate_object(item, point, class_name, state=state)

    def _update_class_table(self):
        """Udate the class count for the class table"""

        counts = self._annotations.get_class_counts()
        for class_name in self._learner.class_names.values():
            if class_name in counts:
                items = self._find_items_in_class_table(class_name,
                                                        self.COLUMN_CLASS_NAME)


                item = self._class_table.item(items[0].row(),
                                              self.COLUMN_CLASS_COUNT)
                item.setText(str(counts[class_name]))

    def _update_annotation_table(self):
        '''
        update the annotation table. set the annotation coordinates for
        the current class
        '''
        per_class = \
            self._annotations.get_annotations_per_class(self._current_class)
        ann_table = self._ann_table
        ann_table.blockSignals(True)
        ann_table.clearContents()
        ann_table.setRowCount(len(per_class))
        for idx, data in enumerate(per_class):
            plate, position, time, nr_samples = data
            # plateid in m.plateids
            #if position in m.positions and time in m.times:
            flags = Qt.ItemIsEnabled | Qt.ItemIsSelectable
            tooltip = 'Jump to coordinate to see the annotation.'
            # make plate information dependent whether the data set contains
            # multiple plates
            if self._imagecontainer.has_multiple_plates:
                item = QTableWidgetItem(plate)
                item.setFlags(flags)
                item.setToolTip(tooltip)
                ann_table.setItem(idx, self.COLUMN_ANN_PLATE, item)
                offset = 0
            else:
                offset = 1

            item = QTableWidgetItem(position)
            item.setFlags(flags)
            item.setToolTip(tooltip)
            ann_table.setItem(idx, self.COLUMN_ANN_POSITION - offset, item)
            item = QTableWidgetItem(str(time))
            item.setFlags(flags)
            item.setToolTip(tooltip)
            ann_table.setItem(idx, self.COLUMN_ANN_TIME - offset, item)
            item = QTableWidgetItem(str(nr_samples))
            item.setFlags(flags)
            item.setToolTip(tooltip)
            ann_table.setItem(idx, self.COLUMN_ANN_SAMPLES - offset, item)

        ann_table.resizeColumnsToContents()
        ann_table.resizeRowsToContents()
        coordinate = self.browser.get_coordinate()
        self._find_annotation_row(coordinate)
        ann_table.blockSignals(False)

    def _find_annotation_row(self, coordinate):
        if self._imagecontainer.has_multiple_plates:
            items1 = self._ann_table.findItems(coordinate.plate,
                                               Qt.MatchExactly)
            rows1 = set(x.row() for x in items1)
            offset = 0
        else:
            rows1 = set(range(self._ann_table.rowCount()))
            offset = 1

        items2 = self._ann_table.findItems(coordinate.position, Qt.MatchExactly)
        items3 = self._ann_table.findItems(str(coordinate.time),
                                           Qt.MatchExactly)
        items2 = [x for x in items2 if x.row() in rows1 and
                  x.column() == 1-offset]
        rows2 = set(x.row() for x in items2)
        items3 = [x for x in items3 if x.row() in rows2 and
                  x.column() == 2-offset]
        assert len(items3) in [0,1]
        if len(items3) == 1:
            self._ann_table.setCurrentItem(items3[0])
        else:
            self._ann_table.clearSelection()

    def _on_new_point(self, point, button, modifier):
        item = self.browser.image_viewer.get_object_item(point)
        if button == Qt.LeftButton and not item is None:

            coordinate = self.browser.get_coordinate()
            old_class = None
            # remove the item if already present
            if item in self._object_items:
                point2 = self._object_items[item]
                tpl = (int(point2.x()), int(point2.y()))

                old_class = \
                    self._annotations.get_class_name(coordinate, tpl)
                self._annotations.remove(coordinate, tpl)
                del self._object_items[item]
                self._activate_object(item, point, self._current_class, False)

            # mark a new item only if the shift-key is not pressed, a class
            # is currently active and the class name is different
            if (modifier != Qt.ShiftModifier and
                not self._current_class is None and
                old_class != self._current_class):
                tpl = (int(point.x()), int(point.y()))
                self._annotations.add(coordinate,
                                      self._current_class, tpl)
                self._object_items[item] = point
                self._activate_object(item, point, self._current_class, True)

            self._update_class_table()
            self._update_annotation_table()

    def _on_dbl_clk(self, point):
        pass

    def _activate_object(self, item, point, class_name, state=True):
        if state:
            color = \
                QColor(*hex2rgb(self._learner.hexcolors[class_name]))
            label = self._learner.class_labels[class_name]
            item2 = QGraphicsSimpleTextItem(str(label), item)
            rect = item2.boundingRect()
            # center the text item at the annotated point
            item2.setPos(point - QPointF(rect.width()/2, rect.height()/2))
            item2.setPen(QPen(color))
            item2.setBrush(QBrush(color))
            item2.show()
        else:
            color = self.browser.image_viewer.contour_color
            scene = item.scene()
            for item2 in item.childItems():
                scene.removeItem(item2)
        item.set_pen_color(color)
        obj_id = item.data(0)
        return obj_id

    def _on_coordinates_changed(self, coordinate):
        self._find_annotation_row(coordinate)

    def _on_anntable_changed(self, current, previous):
        if not current is None:
            if self._imagecontainer.has_multiple_plates:
                offset = 0
                plate = self._ann_table.item(current.row(),
                                             self.COLUMN_ANN_PLATE).text()
            else:
                offset = 1
                plate = self._imagecontainer.plates[0]
            col = self.COLUMN_ANN_POSITION - offset
            position = self._ann_table.item(current.row(), col).text()
            col = self.COLUMN_ANN_TIME - offset
            time = int(self._ann_table.item(current.row(), col).text())
            coordinate = Coordinate(plate=plate, position=position, time=time)
            try:
                self.browser.set_coordinate(coordinate)
            except:
                exception(self, "Selected coordinate was not found. "
                                "Make sure the data and annotation match and "
                                "that the data was scanned/imported correctly.")

    def _on_class_changed(self, current, previous):
        if not current is None:
            item = self._class_table.item(current.row(),
                                          self.COLUMN_CLASS_NAME)
            class_name = str(item.text())
            self._current_class = class_name
            hex_col = self._learner.hexcolors[class_name]
            col = get_qcolor_hicontrast(QColor(hex_col))
            class_table = self._class_table
            class_table.scrollToItem(item)
            self._class_text.setText(class_name)
            class_label = self._learner.class_labels[class_name]
            self._class_sbox.setValue(class_label)
            self._class_color_btn.set_color(QColor(hex_col))

            self._update_annotation_table()
        else:
            self._current_class = None

    def _on_show_contours_toggled(self, state):
        if self.isVisible():
            self._activate_objects_for_image(True)

    def _on_show_objects(self, state):
        if not state:
            self._object_items.clear()
        self._detect_objects = state

    def _on_shortcut_class_selected(self, class_label):
        items = self._find_items_in_class_table(str(class_label),
                                                self.COLUMN_CLASS_LABEL)
        if len(items) == 1:
            self.class_table.setCurrentItem(items[0])

    def _load_classifier(self, path):
        learner = None
        try:
            learner = BaseLearner(path, None, None)
        except:
            exception(self, 'Error on loading classifier')
        else:
            state = learner.state
            if state['has_definition']:
                learner.loadDefinition()
        return learner

    def _save_classifier(self, path):
        learner = self._learner
        success = True
        try:
            learner.clf_dir = path
            learner.saveDefinition()
        except:
            exception(self, 'Error on saving classifier')
            success = False
        return success

    def set_coords(self):
        if self.isVisible():
            self._activate_objects_for_image(True, clear=True)
            self._update_class_table()

    def activate(self):
        super(AnnotationModule, self).activate()
        self._activate_objects_for_image(True, clear=True)
        self._update_class_table()
        self.browser.image_viewer.image_mouse_pressed.connect(
            self._on_new_point)
        self.browser._action_grp.setEnabled(True)
        self._find_annotation_row(self.browser.get_coordinate())

    def deactivate(self):
        super(AnnotationModule, self).deactivate()
        self._activate_objects_for_image(False, clear=True)
        self.browser.image_viewer.image_mouse_pressed.disconnect(
            self._on_new_point)
        self.browser.image_viewer.purify_objects()
        self.browser._action_grp.setEnabled(False)