def make_img(self, size): # Generate Pupil Labs colored gradient self._img = np.zeros((size[1], size[0], 3), dtype=np.uint8) self._img[:, :, 0] += np.linspace(91, 157, self.frame_size[0], dtype=np.uint8) self._img[:, :, 1] += np.linspace(165, 161, self.frame_size[0], dtype=np.uint8) self._img[:, :, 2] += np.linspace(35, 112, self.frame_size[0], dtype=np.uint8) self._intrinsics = Dummy_Camera(size, self.name)
def make_img(self,size): c_w ,c_h = max(1,size[0]/30),max(1,size[1]/30) coarse = np.random.randint(0,200,size=(int(c_h),int(c_w),3)).astype(np.uint8) # coarse[:,:,1] /=5 # coarse[:,:,2] *=0 # coarse[:,:,1] /=30 # self._img = np.ones((size[1],size[0],3),dtype=np.uint8) self._img = cv2.resize(coarse,size,interpolation=cv2.INTER_LANCZOS4) self._intrinsics = Dummy_Camera(size, self.name)
def intrinsics(self): if self._intrinsics is None or self._intrinsics.resolution != self.frame_size: if self.projection_matrix is None: distortion = [[0.0, 0.0, 0.0, 0.0, 0.0]] self._intrinsics = Radial_Dist_Camera( self.projection_matrix, distortion, self.frame_size, self.name ) else: self._intrinsics = Dummy_Camera(self.frame_size, self.name) return self._intrinsics
def make_img(self, size): self._img = np.zeros((size[1], size[0], 3), dtype=np.uint8) self._img[:, :, 0] += np.linspace(91, 157, self.frame_size[0], dtype=np.uint8) self._img[:, :, 1] += np.linspace(100, 1, self.frame_size[0], dtype=np.uint8) self._img[:, :, 2] += np.linspace(100, 112, self.frame_size[0], dtype=np.uint8) self._intrinsics = Dummy_Camera(size, self.name)
def intrinsics(self): if not self.online: return self._intrinsics or Dummy_Camera(self.frame_size, self.name) if self._intrinsics is None or self._intrinsics.resolution != self.frame_size: lens_params = self.camera.get_lens_parameters() c_x, c_y = lens_params.principal_point f_x, f_y = lens_params.focal_length p_1, p_2 = lens_params.distortion_tangential k_1, k_2, *k_other = lens_params.distortion_radial K = [[f_x, 0.0, c_x], [0.0, f_y, c_y], [0.0, 0.0, 1.0]] D = k_1, k_2, p_1, p_2, *k_other self._intrinsics = Radial_Dist_Camera(K, D, self.frame_size, self.name) with open(os.path.join(self.g_pool.user_dir, "picoflexx_intrinsics"), "wb") as f: pickle.dump([ K, D, self.frame_size, self.name ], f) return self._intrinsics