remove unused imports

plot.py

@@ -1,13 +1,9 @@
-import time
-
 import numpy as np
 import pandas as pd
 import seaborn as sns
 import matplotlib.pyplot as plt
 from scipy import stats as st
 
-from config import FPS
-
 def change_points_to_segments(df, change_points):
     """ Convert change points from kats detector to segment indicators. 
     
@@ -55,7 +51,7 @@ def plot_segment_comparison(df, change_points, video_mp4 = "Placeholder.mp4", vi
     Returns:
         fig (Figure): Figure that shows the comparison between two videos.
         segment_decisions (dict): JSON-style dictionary containing the decision information of the comparison between two videos.
-        
+
     """
     # Plot it with certain characteristics
     fig, ax_arr = plt.subplots(4, 1, figsize=(16, 6), dpi=300, sharex=True)

videomatch.py

@@ -1,6 +1,5 @@
 import os
 import logging
-import json
 import faiss
 
 from kats.detectors.cusum_detection import CUSUMDetector
@@ -13,7 +12,7 @@ import numpy as np
 import pandas as pd
 
 from videohash import compute_hashes, filepath_from_url
-from config import FPS, MIN_DISTANCE, MAX_DISTANCE, ROLLING_WINDOW_SIZE
+from config import FPS, ROLLING_WINDOW_SIZE
 
 def index_hashes_for_video(url: str) -> faiss.IndexBinaryIVF:
     """ Compute hashes of a video and index the video using faiss indices and return the index. 
@@ -92,7 +91,7 @@ def compare_videos(hash_vectors, target_index, MIN_DISTANCE = 3):
         D (ndarray): distances of the vectors within a radius around the query point
         I (ndarray): indices of the neighbours
         hash_vectors (ndarray): vector of the indexed frames that can be searched.
-        
+
     """
     lims, D, I = target_index.range_search(hash_vectors, MIN_DISTANCE)
     return lims, D, I, hash_vectors