()
| 69 | |
| 70 | |
| 71 | def train(): |
| 72 | if args.dataset == 'COCO': |
| 73 | if args.dataset_root == VOC_ROOT: |
| 74 | if not os.path.exists(COCO_ROOT): |
| 75 | parser.error('Must specify dataset_root if specifying dataset') |
| 76 | print("WARNING: Using default COCO dataset_root because " + |
| 77 | "--dataset_root was not specified.") |
| 78 | args.dataset_root = COCO_ROOT |
| 79 | cfg = coco |
| 80 | dataset = COCODetection(root=args.dataset_root, |
| 81 | transform=SSDAugmentation(cfg['min_dim'], |
| 82 | MEANS)) |
| 83 | elif args.dataset == 'VOC': |
| 84 | if args.dataset_root == COCO_ROOT: |
| 85 | parser.error('Must specify dataset if specifying dataset_root') |
| 86 | cfg = voc |
| 87 | dataset = VOCDetection(root=args.dataset_root, |
| 88 | transform=SSDAugmentation(cfg['min_dim'], |
| 89 | MEANS)) |
| 90 | |
| 91 | if args.visdom: |
| 92 | import visdom |
| 93 | viz = visdom.Visdom() |
| 94 | |
| 95 | ssd_net = build_ssd('train', cfg['min_dim'], cfg['num_classes']) |
| 96 | net = ssd_net |
| 97 | |
| 98 | if args.cuda: |
| 99 | net = torch.nn.DataParallel(ssd_net) |
| 100 | cudnn.benchmark = True |
| 101 | |
| 102 | if args.resume: |
| 103 | print('Resuming training, loading {}...'.format(args.resume)) |
| 104 | ssd_net.load_weights(args.resume) |
| 105 | else: |
| 106 | vgg_weights = torch.load(args.save_folder + args.basenet) |
| 107 | print('Loading base network...') |
| 108 | ssd_net.vgg.load_state_dict(vgg_weights) |
| 109 | |
| 110 | if args.cuda: |
| 111 | net = net.cuda() |
| 112 | |
| 113 | if not args.resume: |
| 114 | print('Initializing weights...') |
| 115 | # initialize newly added layers' weights with xavier method |
| 116 | ssd_net.extras.apply(weights_init) |
| 117 | ssd_net.loc.apply(weights_init) |
| 118 | ssd_net.conf.apply(weights_init) |
| 119 | |
| 120 | optimizer = optim.SGD(net.parameters(), lr=args.lr, momentum=args.momentum, |
| 121 | weight_decay=args.weight_decay) |
| 122 | criterion = MultiBoxLoss(cfg['num_classes'], 0.5, True, 0, True, 3, 0.5, |
| 123 | False, args.cuda) |
| 124 | |
| 125 | net.train() |
| 126 | # loss counters |
| 127 | loc_loss = 0 |
| 128 | conf_loss = 0 |
no test coverage detected