# Copyright (c) 2018-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
# Modified by Qitao Zhao (qitaozhao@mail.sdu.edu.cn)

import argparse

def parse_args():
    parser = argparse.ArgumentParser(description='Training script')

    # General arguments
    parser.add_argument('-d', '--dataset', default='h36m', type=str, metavar='NAME', help='target dataset') # h36m or humaneva
    parser.add_argument('-k', '--keypoints', default='cpn_ft_h36m_dbb', type=str, metavar='NAME', help='2D detections to use')
    parser.add_argument('-str', '--subjects-train', default='S1,S5,S6,S7,S8', type=str, metavar='LIST',
                        help='training subjects separated by comma')
    parser.add_argument('-ste', '--subjects-test', default='S9,S11', type=str, metavar='LIST', help='test subjects separated by comma')
    parser.add_argument('-sun', '--subjects-unlabeled', default='', type=str, metavar='LIST',
                        help='unlabeled subjects separated by comma for self-supervision')
    parser.add_argument('-a', '--actions', default='*', type=str, metavar='LIST',
                        help='actions to train/test on, separated by comma, or * for all')
    parser.add_argument('-c', '--checkpoint', default='checkpoint', type=str, metavar='PATH',
                        help='checkpoint directory')
    parser.add_argument('--checkpoint-frequency', default=40, type=int, metavar='N',
                        help='create a checkpoint every N epochs')
    parser.add_argument('-r', '--resume', default='', type=str, metavar='FILENAME',
                        help='checkpoint to resume (file name)')
    parser.add_argument('--evaluate', default='', type=str, metavar='FILENAME', help='checkpoint to evaluate (file name)')
    parser.add_argument('--render', action='store_true', help='visualize a particular video')
    parser.add_argument('--by-subject', action='store_true', help='break down error by subject (on evaluation)')
    parser.add_argument('--export-training-curves', action='store_true', help='save training curves as .png images')
    parser.add_argument('-g', '--gpu', type=list, help='set gpu number')
    parser.add_argument('--local_rank', type=int, default=0, help='node rank for distributed training')
    parser.add_argument('--center-pose', type=int, default=0, help='choose fine-tuning task as 3d pose estimation')

    # Model arguments
    parser.add_argument('-s', '--stride', default=1, type=int, metavar='N', help='chunk size to use during training')
    parser.add_argument('-e', '--epochs', default=200, type=int, metavar='N', help='number of training epochs')
    parser.add_argument('-b', '--batch-size', default=1024, type=int, metavar='N', help='batch size in terms of predicted frames')
    parser.add_argument('-drop', '--dropout', default=0., type=float, metavar='P', help='dropout probability')
    parser.add_argument('-lr', '--learning-rate', default=0.0001, type=float, metavar='LR', help='initial learning rate')
    parser.add_argument('-lrd', '--lr-decay', default=0.99, type=float, metavar='LR', help='learning rate decay per epoch')
    parser.add_argument('-no-da', '--no-data-augmentation', dest='data_augmentation', action='store_false',
                        help='disable train-time flipping')
    parser.add_argument('-frame', '--number-of-frames', default='81', type=int, metavar='N',
                        help='how many frames used as input')
    parser.add_argument('-frame-kept', '--number-of-kept-frames', default='27', type=int, metavar='N',
                        help='how many frames are kept')
    parser.add_argument('-coeff-kept', '--number-of-kept-coeffs', type=int, metavar='N', help='how many coefficients are kept')
    parser.add_argument('--depth', default=4, type=int, metavar='N', help='number of transformer blocks')  
    parser.add_argument('--embed-dim-ratio', default=32, type=int, metavar='N', help='dimension of embedding ratio') 
    parser.add_argument('-std', type=float, default=0.0, help='the standard deviation for gaussian noise')

    # Experimental
    parser.add_argument('--subset', default=1, type=float, metavar='FRACTION', help='reduce dataset size by fraction')
    parser.add_argument('--downsample', default=1, type=int, metavar='FACTOR', help='downsample frame rate by factor (semi-supervised)')
    parser.add_argument('--warmup', default=1, type=int, metavar='N', help='warm-up epochs for semi-supervision')
    parser.add_argument('--no-eval', action='store_true', help='disable epoch evaluation while training (small speed-up)')
    parser.add_argument('--dense', action='store_true', help='use dense convolutions instead of dilated convolutions')
    parser.add_argument('--disable-optimizations', action='store_true', help='disable optimized model for single-frame predictions')
    parser.add_argument('--linear-projection', action='store_true', help='use only linear coefficients for semi-supervised projection')
    parser.add_argument('--no-bone-length', action='store_false', dest='bone_length_term',
                        help='disable bone length term in semi-supervised settings')
    parser.add_argument('--no-proj', action='store_true', help='disable projection for semi-supervised setting')
    
    # Visualization
    parser.add_argument('--viz-subject', type=str, metavar='STR', help='subject to render')
    parser.add_argument('--viz-action', type=str, metavar='STR', help='action to render')
    parser.add_argument('--viz-camera', type=int, default=0, metavar='N', help='camera to render')
    parser.add_argument('--viz-video', type=str, metavar='PATH', help='path to input video')
    parser.add_argument('--viz-skip', type=int, default=0, metavar='N', help='skip first N frames of input video')
    parser.add_argument('--viz-output', type=str, metavar='PATH', help='output file name (.gif or .mp4)')
    parser.add_argument('--viz-export', type=str, metavar='PATH', help='output file name for coordinates')
    parser.add_argument('--viz-bitrate', type=int, default=3000, metavar='N', help='bitrate for mp4 videos')
    parser.add_argument('--viz-no-ground-truth', action='store_true', help='do not show ground-truth poses')
    parser.add_argument('--viz-limit', type=int, default=-1, metavar='N', help='only render first N frames')
    parser.add_argument('--viz-downsample', type=int, default=1, metavar='N', help='downsample FPS by a factor N')
    parser.add_argument('--viz-size', type=int, default=5, metavar='N', help='image size')
    
    parser.set_defaults(bone_length_term=True)
    parser.set_defaults(data_augmentation=True)
    parser.set_defaults(test_time_augmentation=True)
    # parser.set_defaults(test_time_augmentation=False)

    args = parser.parse_args()
    # Check invalid configuration
    if args.resume and args.evaluate:
        print('Invalid flags: --resume and --evaluate cannot be set at the same time')
        exit()
        
    if args.export_training_curves and args.no_eval:
        print('Invalid flags: --export-training-curves and --no-eval cannot be set at the same time')
        exit()

    return args