()
| 71 | |
| 72 | |
| 73 | def main(): |
| 74 | args = parse_args() |
| 75 | |
| 76 | cfg = mmcv.Config.fromfile(args.config) |
| 77 | if args.cfg_options is not None: |
| 78 | cfg.merge_from_dict(args.cfg_options) |
| 79 | # set cudnn_benchmark |
| 80 | if cfg.get('cudnn_benchmark', False): |
| 81 | torch.backends.cudnn.benchmark = True |
| 82 | cfg.data.test.test_mode = True |
| 83 | |
| 84 | # init distributed env first, since logger depends on the dist info. |
| 85 | if args.launcher == 'none': |
| 86 | distributed = False |
| 87 | else: |
| 88 | distributed = True |
| 89 | init_dist(args.launcher, **cfg.dist_params) |
| 90 | |
| 91 | # build the dataloader |
| 92 | dataset = build_dataset(cfg.data.test) |
| 93 | # the extra round_up data will be removed during gpu/cpu collect |
| 94 | data_loader = build_dataloader( |
| 95 | dataset, |
| 96 | samples_per_gpu=cfg.data.samples_per_gpu, |
| 97 | workers_per_gpu=cfg.data.workers_per_gpu, |
| 98 | dist=distributed, |
| 99 | shuffle=False, |
| 100 | round_up=False) |
| 101 | |
| 102 | # build the model and load checkpoint |
| 103 | model = build_architecture(cfg.model) |
| 104 | fp16_cfg = cfg.get('fp16', None) |
| 105 | if fp16_cfg is not None: |
| 106 | wrap_fp16_model(model) |
| 107 | load_checkpoint(model, args.checkpoint, map_location='cpu') |
| 108 | |
| 109 | if not distributed: |
| 110 | if args.device == 'cpu': |
| 111 | model = model.cpu() |
| 112 | else: |
| 113 | model = MMDataParallel(model, device_ids=[0]) |
| 114 | outputs = single_gpu_test(model, data_loader) |
| 115 | else: |
| 116 | model = MMDistributedDataParallel( |
| 117 | model.cuda(), |
| 118 | device_ids=[torch.cuda.current_device()], |
| 119 | broadcast_buffers=False) |
| 120 | outputs = multi_gpu_test(model, data_loader, args.tmpdir, |
| 121 | args.gpu_collect) |
| 122 | |
| 123 | # for i in tqdm(range(0, len(outputs))): |
| 124 | # outputs[i]['pred_motion'] = outputs[i]['motion'] |
| 125 | |
| 126 | |
| 127 | phys_mode = args.physmode |
| 128 | phys_setting = 'kit' if 'kit' in args.config else 'human' |
| 129 | |
| 130 | if phys_mode == 'normal': |
no test coverage detected