simulator_reader.py
def read_sim_logs(csv_paths):
    """
    Reads each `.csv` file and stores the image file paths and measurement values to a list of dictionaries.
    :param csv_paths: list of file paths to CSV files created by the simulator.
    :return: list of dictionaries containing image files and measurements from the simulator at each sample.
    """
    loaded_data = []
    if not isinstance(csv_paths, list):
        csv_paths = [csv_paths]
    for i_path, path in enumerate(csv_paths):
        print('Loading data from "{}"...'.format(path))
        with open(path, 'rt') as f:
            reader = csv.reader(f, delimiter=',')
            for row in reader:
                if row is None:
                    # empty line
                    continue
                loaded_data.append({'img_center': row[0], 'img_left': row[1], 'img_right': row[2],
                                    'angle': float(row[3]), 'throttle': float(row[4]),
                                    'brake': float(row[5]), 'speed': float(row[6]), 'origin': i_path})
        print('Done.')
    return loaded_data

    Reads each `.csv` file and stores the image file paths and measurement values to a list of dictionaries.
    :param csv_paths: list of file paths to CSV files created by the simulator.
    :return: list of dictionaries containing image files and measurements from the simulator at each sample.
    
Reads each `.csv` file and stores the image file paths and measurement values to a list of dictionaries.
Reads each ` . csv ` file and stores the image file paths and measurement values to a list of dictionaries .
def read_sim_logs(csv_paths):
    loaded_data = []
    if not isinstance(csv_paths, list):
        csv_paths = [csv_paths]
    for i_path, path in enumerate(csv_paths):
        print('Loading data from "{}"...'.format(path))
        with open(path, 'rt') as f:
            reader = csv.reader(f, delimiter=',')
            for row in reader:
                if row is None:
                    continue
                loaded_data.append({'img_center': row[0], 'img_left': row[1], 'img_right': row[2],
                                    'angle': float(row[3]), 'throttle': float(row[4]),
                                    'brake': float(row[5]), 'speed': float(row[6]), 'origin': i_path})
        print('Done.')
    return loaded_data
def read_sim_logs ( csv_paths ) : loaded_data = [ ] if not isinstance ( csv_paths , list ) : csv_paths = [ csv_paths ] for i_path , path in enumerate ( csv_paths ) : print ( 'Loading data from "{}"...' . format ( path ) ) with open ( path , 'rt' ) as f : reader = csv . reader ( f , delimiter = ',' ) for row in reader : if row is None : continue loaded_data . append ( { 'img_center' : row [ 0 ] , 'img_left' : row [ 1 ] , 'img_right' : row [ 2 ] , 'angle' : float ( row [ 3 ] ) , 'throttle' : float ( row [ 4 ] ) , 'brake' : float ( row [ 5 ] ) , 'speed' : float ( row [ 6 ] ) , 'origin' : i_path } ) print ( 'Done.' ) return loaded_data
Reads each `.csv` file and stores the image file paths and measurement values to a list of dictionaries.
Reads each ` . csv ` file and stores the image file paths and measurement values to a list of dictionaries .
"""
    Reads each `.csv` file and stores the image file paths and measurement values to a list of dictionaries.
    :param csv_paths: list of file paths to CSV files created by the simulator.
    :return: list of dictionaries containing image files and measurements from the simulator at each sample.
    """ # empty line

list of dictionaries containing image files and measurements from the simulator at each sample.
list of dictionaries containing image files and measurements from the simulator at each sample .
csv_paths
list of file paths to CSV files created by the simulator.
list of file paths to CSV files created by the simulator .