()
| 112 | |
| 113 | |
| 114 | def main(): |
| 115 | args = parse_args() |
| 116 | cfg = Config.fromfile(args.config) |
| 117 | if args.cfg_options is not None: |
| 118 | cfg.merge_from_dict(args.cfg_options) |
| 119 | # import modules from string list. |
| 120 | if cfg.get('custom_imports', None): |
| 121 | from mmcv.utils import import_modules_from_strings |
| 122 | import_modules_from_strings(**cfg['custom_imports']) |
| 123 | |
| 124 | # import modules from plguin/xx, registry will be updated |
| 125 | if hasattr(cfg, 'plugin'): |
| 126 | if cfg.plugin: |
| 127 | import importlib |
| 128 | if hasattr(cfg, 'plugin_dir'): |
| 129 | plugin_dir = cfg.plugin_dir |
| 130 | _module_dir = os.path.dirname(plugin_dir) |
| 131 | _module_dir = _module_dir.split('/') |
| 132 | _module_path = _module_dir[0] |
| 133 | |
| 134 | for m in _module_dir[1:]: |
| 135 | _module_path = _module_path + '.' + m |
| 136 | print(_module_path) |
| 137 | plg_lib = importlib.import_module(_module_path) |
| 138 | else: |
| 139 | # import dir is the dirpath for the config file |
| 140 | _module_dir = os.path.dirname(args.config) |
| 141 | _module_dir = _module_dir.split('/') |
| 142 | _module_path = _module_dir[0] |
| 143 | for m in _module_dir[1:]: |
| 144 | _module_path = _module_path + '.' + m |
| 145 | print(_module_path) |
| 146 | plg_lib = importlib.import_module(_module_path) |
| 147 | |
| 148 | from code.apis.train import custom_train_model |
| 149 | # set cudnn_benchmark |
| 150 | if cfg.get('cudnn_benchmark', False): |
| 151 | torch.backends.cudnn.benchmark = True |
| 152 | |
| 153 | # work_dir is determined in this priority: CLI > segment in file > filename |
| 154 | if args.work_dir is not None: |
| 155 | # update configs according to CLI args if args.work_dir is not None |
| 156 | cfg.work_dir = args.work_dir |
| 157 | elif cfg.get('work_dir', None) is None: |
| 158 | # use config filename as default work_dir if cfg.work_dir is None |
| 159 | cfg.work_dir = osp.join('./work_dirs', |
| 160 | osp.splitext(osp.basename(args.config))[0]) |
| 161 | # if args.resume_from is not None: |
| 162 | if args.resume_from is not None and osp.isfile(args.resume_from): |
| 163 | cfg.resume_from = args.resume_from |
| 164 | if args.load_from is not None and osp.isfile(args.load_from): |
| 165 | cfg.load_from = args.load_from |
| 166 | if args.gpu_ids is not None: |
| 167 | cfg.gpu_ids = args.gpu_ids |
| 168 | else: |
| 169 | cfg.gpu_ids = range(1) if args.gpus is None else range(args.gpus) |
| 170 | # init distributed env first, since logger depends on the dist info. |
| 171 | if args.launcher == 'none': |
no test coverage detected