Deeplab-V3-Pytorch: Small Obstacle

TODO

• Modify for 4 channel input

Training

Follow below steps below to train your model:

1. Input arguments: (see full input arguments via python train.py --help):

   usage: train.py [-h] [--backbone {resnet,xception,drn,mobilenet}]
               [--out-stride OUT_STRIDE] [--dataset {pascal,coco,cityscapes}]
               [--use-sbd] [--workers N] [--base-size BASE_SIZE]
               [--crop-size CROP_SIZE] [--sync-bn SYNC_BN]
               [--freeze-bn FREEZE_BN] [--loss-type {ce,focal}] [--epochs N]
               [--start_epoch N] [--batch-size N] [--test-batch-size N]
               [--use-balanced-weights] [--lr LR]
               [--lr-scheduler {poly,step,cos}] [--momentum M]
               [--weight-decay M] [--nesterov] [--no-cuda]
               [--gpu-ids GPU_IDS] [--seed S] [--resume RESUME]
               [--checkname CHECKNAME] [--ft] [--eval-interval EVAL_INTERVAL]
               [--no-val][--mode]