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55 lines
1.5 KiB
55 lines
1.5 KiB
4 years ago
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import os
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import os.path as osp
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import time
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import shutil
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import torch
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import torchvision
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import torch.nn.parallel
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import torch.backends.cudnn as cudnn
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import torch.nn.functional as F
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import torch.optim
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import cv2
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import numpy as np
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import models
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import argparse
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from utils.config import Config
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from runner.runner import Runner
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from datasets import build_dataloader
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def main():
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########## Begin ##########
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########## End ##########
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def parse_args():
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parser = argparse.ArgumentParser(description='Train a detector')
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parser.add_argument('--config', help='train config file path', default="configs/tusimple.py")
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parser.add_argument(
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'--work_dirs', type=str, default='work_dirs',
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help='work dirs')
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parser.add_argument(
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'--load_from', default=None,
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help='the checkpoint file to resume from')
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parser.add_argument(
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'--finetune_from', default=None,
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help='whether to finetune from the checkpoint')
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parser.add_argument(
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'--validate',
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action='store_true',
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help='whether to evaluate the checkpoint during training')
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parser.add_argument(
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'--view',
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action='store_true',
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help='whether to show visualization result')
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parser.add_argument('--gpus', nargs='+', type=str, default='0')
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parser.add_argument('--seed', type=int,
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default=None, help='random seed')
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args = parser.parse_args()
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return args
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if __name__ == '__main__':
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main()
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