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| import argparse | |
| import torch | |
| parser = argparse.ArgumentParser(description='PyTorch AlphaPose Training') | |
| "----------------------------- General options -----------------------------" | |
| parser.add_argument('--expID', default='default', type=str, | |
| help='Experiment ID') | |
| parser.add_argument('--dataset', default='coco', type=str, | |
| help='Dataset choice: mpii | coco') | |
| parser.add_argument('--nThreads', default=30, type=int, | |
| help='Number of data loading threads') | |
| parser.add_argument('--debug', default=False, type=bool, | |
| help='Print the debug information') | |
| parser.add_argument('--snapshot', default=1, type=int, | |
| help='How often to take a snapshot of the model (0 = never)') | |
| "----------------------------- AlphaPose options -----------------------------" | |
| parser.add_argument('--addDPG', default=False, type=bool, | |
| help='Train with data augmentation') | |
| "----------------------------- Model options -----------------------------" | |
| parser.add_argument('--netType', default='hgPRM', type=str, | |
| help='Options: hgPRM | resnext') | |
| parser.add_argument('--loadModel', default=None, type=str, | |
| help='Provide full path to a previously trained model') | |
| parser.add_argument('--Continue', default=False, type=bool, | |
| help='Pick up where an experiment left off') | |
| parser.add_argument('--nFeats', default=256, type=int, | |
| help='Number of features in the hourglass') | |
| parser.add_argument('--nClasses', default=17, type=int, | |
| help='Number of output channel') | |
| parser.add_argument('--nStack', default=8, type=int, | |
| help='Number of hourglasses to stack') | |
| "----------------------------- Hyperparameter options -----------------------------" | |
| parser.add_argument('--LR', default=2.5e-4, type=float, | |
| help='Learning rate') | |
| parser.add_argument('--momentum', default=0, type=float, | |
| help='Momentum') | |
| parser.add_argument('--weightDecay', default=0, type=float, | |
| help='Weight decay') | |
| parser.add_argument('--crit', default='MSE', type=str, | |
| help='Criterion type') | |
| parser.add_argument('--optMethod', default='rmsprop', type=str, | |
| help='Optimization method: rmsprop | sgd | nag | adadelta') | |
| "----------------------------- Training options -----------------------------" | |
| parser.add_argument('--nEpochs', default=50, type=int, | |
| help='Number of hourglasses to stack') | |
| parser.add_argument('--epoch', default=0, type=int, | |
| help='Current epoch') | |
| parser.add_argument('--trainBatch', default=40, type=int, | |
| help='Train-batch size') | |
| parser.add_argument('--validBatch', default=20, type=int, | |
| help='Valid-batch size') | |
| parser.add_argument('--trainIters', default=0, type=int, | |
| help='Total train iters') | |
| parser.add_argument('--valIters', default=0, type=int, | |
| help='Total valid iters') | |
| parser.add_argument('--init', default=None, type=str, | |
| help='Initialization') | |
| "----------------------------- Data options -----------------------------" | |
| parser.add_argument('--inputResH', default=384, type=int, | |
| help='Input image height') | |
| parser.add_argument('--inputResW', default=320, type=int, | |
| help='Input image width') | |
| parser.add_argument('--outputResH', default=96, type=int, | |
| help='Output heatmap height') | |
| parser.add_argument('--outputResW', default=80, type=int, | |
| help='Output heatmap width') | |
| parser.add_argument('--scale', default=0.25, type=float, | |
| help='Degree of scale augmentation') | |
| parser.add_argument('--rotate', default=30, type=float, | |
| help='Degree of rotation augmentation') | |
| parser.add_argument('--hmGauss', default=1, type=int, | |
| help='Heatmap gaussian size') | |
| "----------------------------- PyraNet options -----------------------------" | |
| parser.add_argument('--baseWidth', default=9, type=int, | |
| help='Heatmap gaussian size') | |
| parser.add_argument('--cardinality', default=5, type=int, | |
| help='Heatmap gaussian size') | |
| parser.add_argument('--nResidual', default=1, type=int, | |
| help='Number of residual modules at each location in the pyranet') | |
| "----------------------------- Distribution options -----------------------------" | |
| parser.add_argument('--dist', dest='dist', type=int, default=1, | |
| help='distributed training or not') | |
| parser.add_argument('--backend', dest='backend', type=str, default='gloo', | |
| help='backend for distributed training') | |
| parser.add_argument('--port', dest='port', | |
| help='port of server') | |
| opt = parser.parse_args() | |
| if opt.Continue: | |
| opt = torch.load("../exp/{}/{}/option.pkl".format(opt.dataset, opt.expID), map_location=torch.device('cpu')) | |
| opt.Continue = True | |
| opt.nEpochs = 50 | |
| print("--- Continue ---") | |