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