diff --git a/preprocessing/move_files.py b/preprocessing/move_files.py
deleted file mode 100644
index fb0a58c..0000000
--- a/preprocessing/move_files.py
+++ /dev/null
@@ -1,68 +0,0 @@
-'''
-This script takes all asparagus IDs from a csv file (in this case all IDs that we hand labeled) and moves the corresponding image files to the desired location.
-'''
-
-import pandas as pd
-import numpy as np
-import os
-import sys
-import shutil
-
-grid_dir = (os.path.abspath(os.path.join(os.path.dirname(__file__), '..'))
-+ '\\grid_framework')
-sys.path.append(grid_dir)
-
-from grid import*
-
-def get_asparagus_ids(PATH):
-    '''
-    Get ids of the asparagus pieces that have been labeled so far.
-    Args: path to the combined.csv file that contains all labelfiles
-    Out: only the ids aka the first column
-    '''
-    # read in the file
-    csvs = pd.read_csv(PATH, sep = ';')
-    # the column corresponding to the ids
-    ids = csvs['id']
-    # make it a numpy array for better parsing 
-    ids = np.array(ids)
-    return ids
-
-def get_files(PATH):
-    '''
-    Get all file names in directories and subdirectories.
-    Args: PATH to files
-    Out: List of all file names and the corresponding directories
-    '''
-    all_files = []
-    file_names = []
-    for subdir, dirs, files in os.walk(PATH):
-        for file in files:
-            filepath = subdir + '/' + file
-            if filepath.endswith(".png"):
-                all_files.append(filepath)
-                file_names.append(int(file[:-6])) #modified to not save without _a.png and save as int for later comparison
-    return all_files, file_names
-
-if __name__ == '__main__':
-    args = typecast(sys.argv[1:])
-    
-    path_to_imgs = args[0]
-    path_to_csv = args[1]
-    path_to_save = args[2]
-    # read ids from combined.csv
-    ids = get_asparagus_ids(path_to_csv)
-    print('#ids: ' + str(len(ids)))
-    # get all images file names and corresponding paths
-    file_paths, file_names = get_files(path_to_imgs)
-    print('#files found: ' + str(len(file_names)))
-    files = np.array(file_names)
-    print(files[0:10])
-    index_list = []
-    for item in ids:
-        item_index = np.where(files==item)
-        for idx in item_index[0]:
-            shutil.copy(file_paths[int(idx)], path_to_save)
-        # to check whether all were found count the number of found indices
-        index_list.append(item_index)
-    print('#indices found: ' + str(len(index_list)))