def on_mouse_release(self, event): # Get the visible datasets if event.button == 1 and self.mode is not None: visible_data, visual = self.get_visible_data() data = self.get_map_data() if len(self.line_pos) == 0: self.lasso_reset() return elif self.mode is 'lasso': selection_path = path.Path(self.line_pos, closed=True) mask = selection_path.contains_points(data) elif self.mode is 'ellipse': xmin, ymin = np.min(self.line_pos[:, 0]), np.min(self.line_pos[:, 1]) xmax, ymax = np.max(self.line_pos[:, 0]), np.max(self.line_pos[:, 1]) c = CircularROI((xmax + xmin) / 2., (ymax + ymin) / 2., (xmax - xmin) / 2.) # (xc, yc, radius) mask = c.contains(data[:, 0], data[:, 1]) elif self.mode is 'rectangle': xmin, ymin = np.min(self.line_pos[:, 0]), np.min(self.line_pos[:, 1]) xmax, ymax = np.max(self.line_pos[:, 0]), np.max(self.line_pos[:, 1]) r = RectangularROI(xmin, xmax, ymin, ymax) mask = r.contains(data[:, 0], data[:, 1]) else: raise ValueError("Unknown mode: {0}".format(self.mode)) self.mark_selected(mask, visible_data) self.lasso_reset()
def on_mouse_release(self, event): """ Get the mask of selected data and get them highlighted. :param event: """ # Get the visible datasets if event.button == 1 and self.mode and self.mode is not 'point': visible_data, visual = self.get_visible_data() data = self.get_map_data() if len(self.line_pos) == 0: self.lasso_reset() return elif self.mode is 'lasso': # Note, we use points_inside_poly here instead of calling e.g. # matplotlib directly, because we include some optimizations # in points_inside_poly vx, vy = np.array(self.line_pos).transpose() x, y = data.transpose() mask = points_inside_poly(x, y, vx, vy) elif self.mode is 'ellipse': xmin, ymin = np.min(self.line_pos[:, 0]), \ np.min(self.line_pos[:, 1]) xmax, ymax = np.max(self.line_pos[:, 0]), \ np.max(self.line_pos[:, 1]) # (xc, yc, radius) c = CircularROI((xmax+xmin)/2., (ymax+ymin)/2., (xmax-xmin)/2.) mask = c.contains(data[:, 0], data[:, 1]) elif self.mode is 'rectangle': xmin, ymin = np.min(self.line_pos[:, 0]), \ np.min(self.line_pos[:, 1]) xmax, ymax = np.max(self.line_pos[:, 0]), \ np.max(self.line_pos[:, 1]) r = RectangularROI(xmin, xmax, ymin, ymax) mask = r.contains(data[:, 0], data[:, 1]) else: raise ValueError("Unknown mode: {0}".format(self.mode)) # Mask matches transposed volume data set rather than the original one. # The ravel here is to make mask compatible with ElementSubsetState input. new_mask = np.reshape(mask, self.trans_ones_data.shape) new_mask = np.ravel(np.transpose(new_mask)) self.mark_selected(new_mask, self.visible_data) self.lasso_reset()
def on_mouse_release(self, event): visible_data, visual = self.get_visible_data() # Get the visible datasets if event.button == 1 and self.mode is not None: visible_data, visual = self.get_visible_data() data = self.get_map_data() if len(self.line_pos) == 0: self.lasso_reset() return elif self.mode is 'lasso': # Note, we use points_inside_poly here instead of calling e.g. # matplotlib directly, because we include some optimizations # in points_inside_poly vx, vy = np.array(self.line_pos).transpose() x, y = data.transpose() mask = points_inside_poly(x, y, vx, vy) elif self.mode is 'ellipse': xmin, ymin = np.min(self.line_pos[:, 0]), np.min(self.line_pos[:, 1]) xmax, ymax = np.max(self.line_pos[:, 0]), np.max(self.line_pos[:, 1]) c = CircularROI((xmax + xmin) / 2., (ymax + ymin) / 2., (xmax - xmin) / 2.) # (xc, yc, radius) mask = c.contains(data[:, 0], data[:, 1]) elif self.mode is 'rectangle': xmin, ymin = np.min(self.line_pos[:, 0]), np.min(self.line_pos[:, 1]) xmax, ymax = np.max(self.line_pos[:, 0]), np.max(self.line_pos[:, 1]) r = RectangularROI(xmin, xmax, ymin, ymax) mask = r.contains(data[:, 0], data[:, 1]) else: raise ValueError("Unknown mode: {0}".format(self.mode)) # Mask matches transposed volume data set rather than the original one. # The ravel here is to make mask compatible with ElementSubsetState input. new_mask = np.reshape(mask, self.trans_ones_data.shape) new_mask = np.ravel(np.transpose(new_mask)) self.mark_selected(new_mask, visible_data) self.lasso_reset()
def on_mouse_release(self, event): # Get the visible datasets if event.button == 1 and self.mode is not None: visible_data, visual = self.get_visible_data() data = self.get_map_data() if len(self.line_pos) == 0: self.lasso_reset() return elif self.mode is 'lasso': selection_path = path.Path(self.line_pos, closed=True) mask = selection_path.contains_points(data) elif self.mode is 'ellipse': xmin, ymin = np.min(self.line_pos[:, 0]), np.min(self.line_pos[:, 1]) xmax, ymax = np.max(self.line_pos[:, 0]), np.max(self.line_pos[:, 1]) c = CircularROI((xmax + xmin) / 2., (ymax + ymin) / 2., (xmax - xmin) / 2.) # (xc, yc, radius) mask = c.contains(data[:, 0], data[:, 1]) elif self.mode is 'rectangle': xmin, ymin = np.min(self.line_pos[:, 0]), np.min(self.line_pos[:, 1]) xmax, ymax = np.max(self.line_pos[:, 0]), np.max(self.line_pos[:, 1]) r = RectangularROI(xmin, xmax, ymin, ymax) mask = r.contains(data[:, 0], data[:, 1]) else: raise ValueError("Unknown mode: {0}".format(self.mode)) self.mark_selected(mask, visible_data) self.lasso_reset()
def release(self, event): if event.button == 1: if self.radius > 0: c = CircularROI(self.center[0], self.center[1], self.radius) indices_dict = {} for layer_artist in self.iter_data_layer_artists(): data = get_map_data(layer_artist, self.viewer) mask = c.contains(data[:, 0], data[:, 1]) shape_mask = np.reshape(mask, layer_artist.layer.shape[::-1]) shape_mask = np.ravel(np.transpose(shape_mask)) indices_dict[layer_artist.layer] = np.where(shape_mask)[0] self.mark_selected_dict(indices_dict) self.reset()
def release(self, event): if event.button == 1: if self.radius > 0: c = CircularROI(self.center[0], self.center[1], self.radius) indices_dict = {} for layer_artist in self.iter_data_layer_artists(): data = get_map_data(layer_artist, self.viewer) mask = c.contains(data[:, 0], data[:, 1]) shape_mask = np.reshape(mask, layer_artist.layer.shape[::-1]) shape_mask = np.ravel(np.transpose(shape_mask)) indices_dict[layer_artist.layer] = np.where(shape_mask)[0] self.mark_selected_dict(indices_dict) self.reset()