quicksave

src/conversion_scripts/convert_marc.py

@@ -37,13 +37,5 @@ def convertTrajectory(path, save_path, categories):
         category=categories[1], positions=ar[:, [3, 4]], orientations=ar[:, [5]]
     )
 
-    # convert orientation from radians to orientation vector
-    ori_vec = np.array([np.cos(ar[:, 5]), np.sin(ar[:, 5])]).T
-    # get new trajectory with x, y, ori_x, ori_y
-    temp = np.append(ar[:, [3, 4]], ori_vec, axis=1)
-    # convert x,y from m to cm
-    temp[:, [0, 1]] = temp[:, [0, 1]] * 100
-
-    new.create_single_entity(type_="fish", name="fish_2", poses=temp, monotonic_step=50)
     new.validate()
     new.save(save_path)
\ No newline at end of file

src/robofish/evaluate/evaluate.py

@@ -19,26 +19,26 @@ from typing import Iterable
 from scipy import stats
 
 
-def get_all_poses_from_paths(paths: Iterable(str)):
-    """This function reads all poses from given paths.
-
-    Args:
-        paths: An array of strings, with files or folders
-    Returns:
-        An array, containing poses with the shape [paths][files][entities, timesteps, 4]
-    """
-    # Open all files, shape (paths, files)
-    files_per_path = [robofish.io.read_multiple_files(p) for p in paths]
-
-    # Read all poses from the files, shape (paths, files)
-    poses_per_path = [[f.get_poses() for f in files] for files in files_per_path]
-
-    # close all files
-    for p in files_per_path:
-        for f in p:
-            f.close()
-
-    return poses_per_path
+# def get_all_poses_from_paths(paths: Iterable(str)):
+#     """This function reads all poses from given paths.
+
+#     Args:
+#         paths: An array of strings, with files or folders
+#     Returns:
+#         An array, containing poses with the shape [paths][files][entities, timesteps, 4]
+#     """
+#     # Open all files, shape (paths, files)
+#     files_per_path = [robofish.io.read_multiple_files(p) for p in paths]
+
+#     # Read all poses from the files, shape (paths, files)
+#     poses_per_path = [[f.get_poses() for f in files] for files in files_per_path]
+
+#     # close all files
+#     for p in files_per_path:
+#         for f in p:
+#             f.close()
+
+#     return poses_per_path
 
 
 def evaluate_speed(