gaussian_functions.py
def generate_points_dct(img_gt_paths):
    """
    Generate dictionary of all points for all images
    """
    points_dct ={}
    for img_path, gt_path in img_gt_paths.copy():
        points = pd.read_csv(gt_path, header=None, index_col=None).values
        points_dct[img_path ] =points

    return points_dct

    Generate dictionary of all points for all images
    
Generate dictionary of all points for all images
Generate dictionary of all points for all images
def generate_points_dct(img_gt_paths):
    points_dct ={}
    for img_path, gt_path in img_gt_paths.copy():
        points = pd.read_csv(gt_path, header=None, index_col=None).values
        points_dct[img_path ] =points
    return points_dct
def generate_points_dct ( img_gt_paths ) : points_dct = { } for img_path , gt_path in img_gt_paths . copy ( ) : points = pd . read_csv ( gt_path , header = None , index_col = None ) . values points_dct [ img_path ] = points return points_dct
Generate dictionary of all points for all images
Generate dictionary of all points for all images
"""
    Generate dictionary of all points for all images
    """
img_gt_paths