Tramac / awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
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Where can I get the checkpoint file? #79

Open MaverickPeter opened 5 years ago

vlordier commented 5 years ago

Take a look here : save location and here location argument

defaults are set here

    parser.add_argument('--save-dir', default='~/.torch/models',
                        help='Directory for saving checkpoint models')
    parser.add_argument('--save-epoch', type=int, default=10,
                        help='save model every checkpoint-epoch')
    parser.add_argument('--log-dir', default='../runs/logs/',
                        help='Directory for saving checkpoint models')
pyradd commented 5 years ago

change this : parser.add_argument('--save-dir', default='~/.torch/models', help='Directory for saving checkpoint models')

To: parser.add_argument('--save-dir', default='checkpoints/', help='Directory for saving checkpoint models')

You should see checkpoints directory created in the directory from where you ran the train.py script