Fix linting errors

src/spyglass/common/common_behav.py

@@ -1,4 +1,5 @@
 import pathlib
+import re
 from functools import reduce
 from typing import Dict
 

src/spyglass/position/v1/dlc_utils.py

@@ -18,6 +18,7 @@
 import pandas as pd
 from tqdm import tqdm as tqdm
 
+from spyglass.common.common_behav import VideoFile
 from spyglass.settings import dlc_output_dir, dlc_video_dir, raw_dir
 
 
@@ -418,8 +419,6 @@ def get_video_path(key):
     """
     import pynwb
 
-    from ...common.common_behav import VideoFile
-
     vf_key = {"nwb_file_name": key["nwb_file_name"], "epoch": key["epoch"]}
     VideoFile()._no_transaction_make(vf_key, verbose=False)
     video_query = VideoFile & vf_key
@@ -434,7 +433,7 @@ def get_video_path(key):
     with pynwb.NWBHDF5IO(path=nwb_path, mode="r") as in_out:
         nwb_file = in_out.read()
         nwb_video = nwb_file.objects[video_info["video_file_object_id"]]
-        video_filepath = common_behav.VideoFile.get_abs_path(video_key)
+        video_filepath = VideoFile.get_abs_path(vf_key)
         video_dir = os.path.dirname(video_filepath) + "/"
         video_filename = video_filepath.split(video_dir)[-1]
         meters_per_pixel = nwb_video.device.meters_per_pixel

src/spyglass/position/v1/position_dlc_pose_estimation.py

@@ -10,12 +10,11 @@
 
 from spyglass.common.common_behav import (  # noqa: F401
     RawPosition,
-    VideoFile,
     convert_epoch_interval_name_to_position_interval_name,
 )
+from spyglass.common.common_nwbfile import AnalysisNwbfile
+from spyglass.utils.dj_mixin import SpyglassMixin
 
-from ...common.common_nwbfile import AnalysisNwbfile
-from ...utils.dj_mixin import SpyglassMixin
 from .dlc_utils import OutputLogger, infer_output_dir
 from .position_dlc_model import DLCModel
 
@@ -124,43 +123,6 @@ def insert_estimation_task(
         logger.logger.info("inserted entry into Pose Estimation Selection")
         return {**key, "task_mode": task_mode}
 
-    @classmethod
-    def get_video_crop(cls, video_path):
-        """
-        Queries the user to determine the cropping parameters for a given video
-
-        Parameters
-        ----------
-        video_path : str
-            path to the video file
-
-        Returns
-        -------
-        crop_ints : list
-            list of 4 integers [x min, x max, y min, y max]
-        """
-
-        cap = cv2.VideoCapture(video_path)
-        _, frame = cap.read()
-        fig, ax = plt.subplots(figsize=(20, 10))
-        ax.imshow(frame)
-        xlims = ax.get_xlim()
-        ylims = ax.get_ylim()
-        ax.set_xticks(np.arange(xlims[0], xlims[-1], 50))
-        ax.set_yticks(np.arange(ylims[0], ylims[-1], -50))
-        ax.grid(visible=True, color="white", lw=0.5, alpha=0.5)
-        display(fig)
-        crop_input = input(
-            "Please enter the crop parameters for your video in format "
-            "xmin, xmax, ymin, ymax, or 'none'\n"
-        )
-        plt.close()
-        if crop_input.lower() == "none":
-            return None
-        crop_ints = [int(val) for val in crop_input.split(",")]
-        assert all(isinstance(val, int) for val in crop_ints)
-        return crop_ints
-
 
 @schema
 class DLCPoseEstimation(SpyglassMixin, dj.Computed):