def update_transforms(self):
import cv2
if (self.df_canvas_corners.shape[0] <= 0 or
self.df_frame_corners.shape[0] <= 0):
return
self.canvas_to_frame_map = cv2.findHomography(self.df_canvas_corners
.values,
self.df_frame_corners
.values)[0]
self.frame_to_canvas_map = cv2.findHomography(self.df_frame_corners
.values,
self.df_canvas_corners
.values)[0]
self.video_sink.transform = self.frame_to_canvas_map
def update_transforms(self):
from opencv_helpers.safe_cv import cv2
if (self.df_canvas_corners.shape[0] == 0 or
self.df_frame_corners.shape[0] == 0):
return
self.canvas_to_frame_map = cv2.findHomography(self.df_canvas_corners
.values,
self.df_frame_corners
.values)[0]
self.frame_to_canvas_map = cv2.findHomography(self.df_frame_corners
.values,
self.df_canvas_corners
.values)[0]
# Translate transform shape coordinate space to drawing area coordinate
# space.
transform = self.frame_to_canvas_map
if self.canvas is not None:
transform = (self.canvas.shapes_to_canvas_transform.values
.dot(transform))
self.video_sink.transform = transform
self.set_surface('registration', self.render_registration())
def update_transforms(self):
from opencv_helpers.safe_cv import cv2
if (self.df_canvas_corners.shape[0] == 0 or
self.df_frame_corners.shape[0] == 0):
return
self.canvas_to_frame_map = cv2.findHomography(self.df_canvas_corners
.values,
self.df_frame_corners
.values)[0]
self.frame_to_canvas_map = cv2.findHomography(self.df_frame_corners
.values,
self.df_canvas_corners
.values)[0]
# Translate transform shape coordinate space to drawing area coordinate
# space.
transform = self.frame_to_canvas_map
if self.canvas is not None:
transform = (self.canvas.shapes_to_canvas_transform.values
.dot(transform))
self.video_sink.transform = transform
self.set_surface('registration', self.render_registration())
