main.py [-h] 
	--dataroot DATAROOT 
	[--batch_size BATCH_SIZE]
	[--batch_size_test BATCH_SIZE_TEST]
	[--checkpoints_path CHECKPOINTS_PATH] 
	[--cuda]
	[--dropout_prob DROPOUT_PROB] 
	[--lr LR] 
	[--lr_fc LR_FC]
	[--manual_seed MANUAL_SEED] 
	[--market] 
	[--nbins NBINS]
	[--nepoch NEPOCH] 
	[--nepoch_fc NEPOCH_FC] 
	[--nworkers NWORKERS]
	[--visdom_port VISDOM_PORT]


required argument:
  --dataroot DATAROOT   path to dataset
  
optional arguments:
  -h, --help            show this help message and exit
  --batch_size BATCH_SIZE
                        batch size for train, default=128
  --batch_size_test BATCH_SIZE_TEST
                        batch size for test and query dataloaders for market
                        dataset, default=64
  --checkpoints_path CHECKPOINTS_PATH
                        folder to output model checkpoints, default="."
  --cuda                enables cuda
  --dropout_prob DROPOUT_PROB
                        probability of dropout, default=0.7
  --lr LR               learning rate, default=1e-4
  --lr_fc LR_FC         learning rate to train fc layer, default=1e-1
  --manual_seed MANUAL_SEED
                        manual seed
  --market              calculate rank1 and mAP on Market dataset; dataroot
                        should contain folders "bounding_box_train",
                        "bounding_box_test", "query"
  --nbins NBINS         number of bins in histograms, default=150
  --nepoch NEPOCH       number of epochs to train, default=150
  --nepoch_fc NEPOCH_FC
                        number of epochs to train fc layer, default=0
  --nworkers NWORKERS   number of data loading workers, default=10
  --visdom_port VISDOM_PORT
                        port for visdom visualization

$ #start visdom server if use visdom_port argument
$ python -m visdom.server -port 8099
$ python main.py --dataroot ../data/Market-1501-v15.09.15 --cuda --checkpoints_path histogram --manual_seed 18 --visdom_port 8099 --nepoch_fc 0 --market --dropout_prob 0