Rename videotype to video_extensions and fix docs

Update docstrings and examples to use a clearer parameter name and correct example keys. Replaced occurrences of "videotype" with "video_extensions" across several modules (compat.py, create_project/new.py, modelzoo/video_inference.py, pose_estimation_tensorflow/predict_videos.py, pose_estimation_tensorflow/modelzoo/api/superanimal_inference.py, pose_tracking_pytorch/apis.py), and added a detailed description for the new video_extensions parameter in create_project/new.py. Also corrected example/parameter names in compat.py (displayiters -> display_iters and Shuffles -> shuffles) to match expected naming.
C-Achard · Jun 11, 2026 · Jun 1, 2026 · Jun 1, 2026 · Jun 1, 2026 · Jun 1, 2026
commit de886e742e8ca3129d9ce7d47b6bb85bde776097
diff --git a/deeplabcut/compat.py b/deeplabcut/compat.py
@@ -193,7 +193,7 @@ def train_network(
                 batch_size=8,
                 epochs=100,
                 save_epochs=10,
-                displayiters=50,
+                display_iters=50,
             )
     """
     if engine is None:
@@ -382,22 +382,22 @@ def evaluate_network(
         If you do not want to plot and evaluate with shuffle set to 1.
 
             deeplabcut.evaluate_network(
-                '/analysis/project/reaching-task/config.yaml', Shuffles=[1],
+                '/analysis/project/reaching-task/config.yaml', shuffles=[1],
             )
 
         If you want to plot and evaluate with shuffle set to 0 and 1.
 
             deeplabcut.evaluate_network(
                 '/analysis/project/reaching-task/config.yaml',
-                Shuffles=[0, 1],
+                shuffles=[0, 1],
                 plotting=True,
             )
 
         If you want to plot assemblies for a maDLC project:
 
             deeplabcut.evaluate_network(
                 '/analysis/project/reaching-task/config.yaml',
-                Shuffles=[1],
+                shuffles=[1],
                 plotting="individual",
             )
 
@@ -407,7 +407,7 @@ def evaluate_network(
 
             deeplabcut.evaluate_network(
                 "/analysis/project/reaching-task/config.yaml",
-                Shuffles=[0, 1],
+                shuffles=[0, 1],
                 pcutoff={"left_ear": 0.8, "right_ear": 0.8},
             )
 
@@ -595,7 +595,8 @@ def analyze_videos(
         config (str): Full path of the config.yaml file.
         videos (list[str]): A list of strings containing the full paths to videos for analysis or a path to
             the directory, where all the videos with same extension are stored.
-        videotype (str | Sequence[str] | None, optional): Controls how ``videos`` are filtered, based on file extension.
+        video_extensions (str | Sequence[str] | None, optional):  Controls
+            how ``videos`` are filtered, based on file extension.
             File paths and directory contents are treated differently:
             - ``None`` (default): file paths are accepted as-is; directories are
               scanned for files with a recognized video extension.

diff --git a/deeplabcut/create_project/new.py b/deeplabcut/create_project/new.py
@@ -41,13 +41,21 @@ def create_new_project(
         experimenter (string): The name of the experimenter.
         videos (list[str]): A list of strings representing the full paths of the videos
             to include in the project. If the strings represent a directory instead of
-            a file, all videos of ``videotype`` will be imported.
+            a file, all videos of ``video_extensions`` will be imported.
         working_directory (string, optional): The directory where the project will be
             created. The default is the ``current working directory``.
         copy_videos (bool, optional): If True, the videos are copied to the ``videos``
             directory. If False, symlinks of the videos will be created in the
             ``project/videos`` directory; in the event of a failure to create symbolic
             links, videos will be moved instead. Defaults to False.
+        video_extensions (str | Sequence[str] | None, optional):
+            Controls how ``videos`` are filtered, based on file extension.
+            File paths and directory contents are treated differently:
+            - ``None`` (default): file paths are accepted as-is; directories are
+              scanned for files with a recognized video extension.
+            - ``str`` or ``Sequence[str]`` (e.g. ``"mp4"`` or ``["mp4", "avi"]``):
+              both file paths and directory contents are filtered by the given
+              extension(s). Defaults to None.
         multianimal (bool, optional): For creating a multi-animal project (introduced
             in DLC 2.2). Defaults to False.
         individuals (list[str] | None, optional): Relevant only if multianimal is True.

diff --git a/deeplabcut/modelzoo/video_inference.py b/deeplabcut/modelzoo/video_inference.py
@@ -101,7 +101,8 @@ def video_inference_superanimal(
             framework), the type of object detector to use for inference.
         scale_list (list): A list of different resolutions for the spatial pyramid. Used
             only for bottom up models.
-        videotype (str): Checks for the extension of the video in case the input to the
+        video_extensions (str | Sequence[str] | None, optional):
+            Checks for the extension of the video in case the input to the
             video is a directory. Only videos with this extension are analyzed. The
             default is ``.mp4``.
         dest_folder (str): The path to the folder where the results should be saved.

diff --git a/deeplabcut/pose_estimation_tensorflow/modelzoo/api/superanimal_inference.py b/deeplabcut/pose_estimation_tensorflow/modelzoo/api/superanimal_inference.py
@@ -460,7 +460,7 @@ def _video_inference_superanimal(
             Combined with ``project_name`` as ``project_name + "_" + model_name``.
         scale_list (list, optional): Target heights for multi-scale test-time
             augmentation. By default uses the original size.
-        videotype (string, optional): When ``videos`` is a directory, only videos with
+        video_extensions (string, optional): When ``videos`` is a directory, only videos with
             this extension are analyzed. Defaults to ``.mp4``.
         video_adapt (bool, optional): If True, apply video adaptation for less
             jittering results. Defaults to False.

diff --git a/deeplabcut/pose_estimation_tensorflow/predict_videos.py b/deeplabcut/pose_estimation_tensorflow/predict_videos.py
@@ -295,7 +295,7 @@ def analyze_videos(
         config (str): Full path of the config.yaml file.
         videos (list[str]): A list of strings containing the full paths to videos for analysis or a path to
             the directory, where all the videos with same extension are stored.
-        videotype (str | Sequence[str] | None, optional): Controls how ``videos`` are
+        video_extensions (str | Sequence[str] | None, optional): Controls how ``videos`` are
             filtered, based on file extension. File paths and directory contents are
             treated differently:
             - ``None`` (default): file paths are accepted as-is; directories are

diff --git a/deeplabcut/pose_tracking_pytorch/apis.py b/deeplabcut/pose_tracking_pytorch/apis.py
@@ -41,7 +41,7 @@ def transformer_reID(
         config (string): Full path of the config.yaml file as a string.
         videos (list): A list of strings containing the full paths to videos for analysis or a path to
             the directory, where all the videos with same extension are stored.
-        videotype (str | Sequence[str] | None, optional): Controls how ``videos`` are
+        video_extensions (str | Sequence[str] | None, optional): Controls how ``videos`` are
             filtered, based on file extension. File paths and directory contents are
             treated differently:
             - ``None`` (default): file paths are accepted as-is; directories are