evaluate_nuscenes.py

# https://github.com/nutonomy/nuscenes-devkit/blob/master/python-sdk/nuscenes/eval/tracking/evaluate.py
# /juno/u/hkchiu/nuscenes-devkit/python-sdk/nuscenes/eval/tracking/evaluate.py

import argparse
import json
import os
import time
from typing import Tuple

import numpy as np

from nuscenes import NuScenes
from nuscenes.eval.common.config import config_factory
from nuscenes.eval.tracking.data_classes import TrackingConfig
from nuscenes.eval.tracking.evaluate import TrackingEval

if __name__ == "__main__":

    # Settings.
    parser = argparse.ArgumentParser(description='Evaluate nuScenes tracking results.',
                                     formatter_class=argparse.ArgumentDefaultsHelpFormatter)
    parser.add_argument('result_path', type=str, help='The submission as a JSON file.')
    parser.add_argument('--output_dir', type=str, default='~/nuscenes-metrics',
                        help='Folder to store result metrics, graphs and example visualizations.')
    parser.add_argument('--eval_set', type=str, default='val',
                        help='Which dataset split to evaluate on, train, val or test.')
    #parser.add_argument('--dataroot', type=str, default='/data/sets/nuscenes',
    parser.add_argument('--dataroot', type=str, default='/juno/u/hkchiu/dataset/nuscenes/trainval',
                        help='Default nuScenes data directory.')
    parser.add_argument('--version', type=str, default='v1.0-trainval',
                        help='Which version of the nuScenes dataset to evaluate on, e.g. v1.0-trainval.')
    parser.add_argument('--config_path', type=str, default='',
                        help='Path to the configuration file.'
                             'If no path given, the NIPS 2019 configuration will be used.')
    parser.add_argument('--render_curves', type=int, default=1,
                        help='Whether to render statistic curves to disk.')
    parser.add_argument('--verbose', type=int, default=1,
                        help='Whether to print to stdout.')
    args = parser.parse_args()

    result_path_ = os.path.expanduser(args.result_path)
    output_dir_ = os.path.expanduser(args.output_dir)
    eval_set_ = args.eval_set
    dataroot_ = args.dataroot
    version_ = args.version
    config_path = args.config_path
    render_curves_ = bool(args.render_curves)
    verbose_ = bool(args.verbose)

    if config_path == '':
        cfg_ = config_factory('tracking_nips_2019')
    else:
        with open(config_path, 'r') as _f:
            cfg_ = TrackingConfig.deserialize(json.load(_f))

    nusc_eval = TrackingEval(config=cfg_, result_path=result_path_, eval_set=eval_set_, output_dir=output_dir_,
                             nusc_version=version_, nusc_dataroot=dataroot_, verbose=verbose_)
    nusc_eval.main(render_curves=render_curves_)