most tests pass

Author: alexlib

src/pyptv/dumbbell_ground_truth.py

@@ -15,11 +15,7 @@
 
 import numpy as np
 
-from openptv_python.calibration import Calibration
-from openptv_python.imgcoord import image_coordinates
-from openptv_python.tracking_frame_buf import TargetArray
-from openptv_python.trafo import arr_metric_to_pixel as convert_arr_metric_to_pixel
-
+from ._backend import Calibration, TargetArray, convert_arr_metric_to_pixel, image_coordinates
 from .parameter_manager import ParameterManager
 from . import ptv
 

src/pyptv/standalone_dumbbell_calibration.py

@@ -27,8 +27,7 @@
 import numpy as np
 from scipy.optimize import least_squares
 
-from openptv_python.trafo import arr_pixel_to_metric as convert_arr_pixel_to_metric
-
+from ._backend import convert_arr_pixel_to_metric, image_coordinates, multi_cam_point_positions
 from .parameter_manager import ParameterManager
 from . import ptv
 
@@ -176,8 +175,6 @@ def run_dumbbell_calibration(
         cpar=cpar,
     )
     if db_eps > 0:
-        from openptv_python.orientation import multi_cam_point_positions
-
         num_frames = int(n_used)
         per_frame = all_targs_metric.reshape(num_cams, num_frames, 2, 2)
         keep = np.ones(num_frames, dtype=bool)
@@ -205,9 +202,6 @@ def run_dumbbell_calibration(
     print(f"Using {n_used} frame(s) for dumbbell calibration (of {n_total})")
 
     def _print_camera_residuals(label: str, metric_targets: np.ndarray) -> None:
-        from openptv_python.imgcoord import image_coordinates
-        from openptv_python.orientation import multi_cam_point_positions
-
         num_cams_local, num_frames_local, num_targs_local, _ = metric_targets.shape
         sums = np.zeros(num_cams_local, dtype=float)
         counts = np.zeros(num_cams_local, dtype=int)
@@ -262,8 +256,6 @@ def _print_camera_residuals(label: str, metric_targets: np.ndarray) -> None:
         ptr += 1
 
     def _init_dumbbell_points(metric_targets: np.ndarray) -> np.ndarray:
-        from openptv_python.orientation import multi_cam_point_positions
-
         num_cams_local, num_frames_local, _, _ = metric_targets.shape
         points = np.zeros((num_frames_local, 2, 3), dtype=float)