# Format of the command to get configs: # # $MODEL_NAME-$TASKS # # task correspondence: # l - Lane marking # r - Drivable area # s - Semantic segmentation # d - Detection # i - Instance Segmentation # t - Multiple object Tracking # x - Multiple object Tracking with Segmentation # ################################################################################ cfg = get_configs('dla34up-ditx') # Override default configs. Feel free to override more fields cfg.optimizer['lr'] = 0.02 cfg.lr_config['step'] = [8, 11] cfg.total_epochs = 12 cfg.data['imgs_per_gpu'] = 4 cfg.data['workers_per_gpu'] = 4 cfg.work_dir = './work_dirs/debug/mtl-ditx' cfg.load_from = None cfg.resume_from = None for k, v in cfg.__dict__.items(): if not k.startswith('__'): setattr(sys.modules[__name__], k, v)
# Format of the command to get configs: # # $MODEL_NAME-$TASKS # # task correspondence: # l - Lane marking # r - Drivable area # s - Semantic segmentation # d - Detection # i - Instance Segmentation # t - Multiple object Tracking # x - Multiple object Tracking with Segmentation # ################################################################################ cfg = get_configs('res101-i') # Override default configs. Feel free to override more fields cfg.optimizer['lr'] = 0.02 cfg.lr_config['step'] = [160, 220] cfg.total_epochs = 240 cfg.data['imgs_per_gpu'] = 4 cfg.data['workers_per_gpu'] = 4 cfg.work_dir = './work_dirs/debug/BDD-i/res101_2x' cfg.load_from = None cfg.resume_from = None for k, v in cfg.__dict__.items(): if not k.startswith('__'): setattr(sys.modules[__name__], k, v)
# Format of the command to get configs: # # $MODEL_NAME-$TASKS # # task correspondence: # l - Lane marking # r - Drivable area # s - Semantic segmentation # d - Detection # i - Instance Segmentation # t - Multiple object Tracking # x - Multiple object Tracking with Segmentation # ################################################################################ cfg = get_configs('dla34up-s') # Override default configs. Feel free to override more fields cfg.optimizer['lr'] = 0.02 cfg.lr_config['step'] = [160, 220] cfg.total_epochs = 240 cfg.data['imgs_per_gpu'] = 4 cfg.data['workers_per_gpu'] = 4 cfg.work_dir = './work_dirs/debug/BDD-s/dla34up_2x' cfg.load_from = None cfg.resume_from = None cfg.checkpoint_config['interval'] = 10 cfg.workflow = [('train', 10)] for k, v in cfg.__dict__.items(): if not k.startswith('__'):
# Format of the command to get configs: # # $MODEL_NAME-$TASKS # # task correspondence: # l - Lane marking # r - Drivable area # s - Semantic segmentation # d - Detection # i - Instance Segmentation # t - Multiple object Tracking # x - Multiple object Tracking with Segmentation # ################################################################################ cfg = get_configs('res50-i') # Override default configs. Feel free to override more fields cfg.optimizer['lr'] = 0.02 cfg.lr_config['step'] = [160, 220] cfg.total_epochs = 240 cfg.data['imgs_per_gpu'] = 8 cfg.data['workers_per_gpu'] = 8 cfg.work_dir = './work_dirs/debug/BDD-i/res50_2x' cfg.load_from = None cfg.resume_from = None for k, v in cfg.__dict__.items(): if not k.startswith('__'): setattr(sys.modules[__name__], k, v)
# Format of the command to get configs: # # $MODEL_NAME-$TASKS # # task correspondence: # l - Lane marking # r - Drivable area # s - Semantic segmentation # d - Detection # i - Instance Segmentation # t - Multiple object Tracking # x - Multiple object Tracking with Segmentation # ################################################################################ cfg = get_configs('res50-t') # Override default configs. Feel free to override more fields cfg.optimizer['lr'] = 0.02 cfg.lr_config['step'] = [8, 10] cfg.total_epochs = 12 cfg.data['imgs_per_gpu'] = 8 cfg.data['workers_per_gpu'] = 4 cfg.work_dir = './work_dirs/debug/BDD-t/res50_2x' cfg.load_from = None cfg.resume_from = './work_dirs/debug/BDD-t/res50/epoch_3.pth' for k, v in cfg.__dict__.items(): if not k.startswith('__'): setattr(sys.modules[__name__], k, v)
# Format of the command to get configs: # # $MODEL_NAME-$TASKS # # task correspondence: # l - Lane marking # r - Drivable area # s - Semantic segmentation # d - Detection # i - Instance Segmentation # t - Multiple object Tracking # x - Multiple object Tracking with Segmentation # ################################################################################ cfg = get_configs('dla34up-r') # Override default configs. Feel free to override more fields cfg.optimizer['lr'] = 0.02 cfg.lr_config['step'] = [16, 22] cfg.total_epochs = 24 cfg.data['imgs_per_gpu'] = 4 cfg.data['workers_per_gpu'] = 4 cfg.work_dir = './work_dirs/debug/bdd-r-2x' cfg.load_from = None cfg.resume_from = None for k, v in cfg.__dict__.items(): if not k.startswith('__'): setattr(sys.modules[__name__], k, v)
# Format of the command to get configs: # # $MODEL_NAME-$TASKS # # task correspondence: # l - Lane marking # r - Drivable area # s - Semantic segmentation # d - Detection # i - Instance Segmentation # t - Multiple object Tracking # x - Multiple object Tracking with Segmentation # ################################################################################ cfg = get_configs('res101-t') # Override default configs. Feel free to override more fields cfg.optimizer['lr'] = 0.02 cfg.lr_config['step'] = [4, 5] cfg.total_epochs = 6 cfg.data['imgs_per_gpu'] = 8 cfg.data['workers_per_gpu'] = 4 cfg.work_dir = './work_dirs/debug/BDD-t/res101' cfg.load_from = None cfg.resume_from = None for k, v in cfg.__dict__.items(): if not k.startswith('__'): setattr(sys.modules[__name__], k, v)
# Format of the command to get configs: # # $MODEL_NAME-$TASKS # # task correspondence: # l - Lane marking # r - Drivable area # s - Semantic segmentation # d - Detection # i - Instance Segmentation # t - Multiple object Tracking # x - Multiple object Tracking with Segmentation # ################################################################################ cfg = get_configs('res50-l') # Override default configs. Feel free to override more fields cfg.optimizer['lr'] = 0.02 cfg.lr_config['step'] = [16, 22] cfg.total_epochs = 24 cfg.data['imgs_per_gpu'] = 4 cfg.data['workers_per_gpu'] = 4 cfg.work_dir = './work_dirs/debug/BDD-l/res50_2x' cfg.load_from = None cfg.resume_from = None for k, v in cfg.__dict__.items(): if not k.startswith('__'): setattr(sys.modules[__name__], k, v)
# Format of the command to get configs: # # $MODEL_NAME-$TASKS # # task correspondence: # l - Lane marking # r - Drivable area # s - Semantic segmentation # d - Detection # i - Instance Segmentation # t - Multiple object Tracking # x - Multiple object Tracking with Segmentation # ################################################################################ cfg = get_configs('res101-l') # Override default configs. Feel free to override more fields cfg.optimizer['lr'] = 0.02 cfg.lr_config['step'] = [8, 11] cfg.total_epochs = 12 cfg.data['imgs_per_gpu'] = 4 cfg.data['workers_per_gpu'] = 4 cfg.work_dir = './work_dirs/debug/BDD-l/res101' cfg.load_from = None cfg.resume_from = None for k, v in cfg.__dict__.items(): if not k.startswith('__'): setattr(sys.modules[__name__], k, v)
# Format of the command to get configs: # # $MODEL_NAME-$TASKS # # task correspondence: # l - Lane marking # r - Drivable area # s - Semantic segmentation # d - Detection # i - Instance Segmentation # t - Multiple object Tracking # x - Multiple object Tracking with Segmentation # ################################################################################ cfg = get_configs('res101-s') # Override default configs. Feel free to override more fields cfg.optimizer['lr'] = 0.02 cfg.lr_config['step'] = [80, 110] cfg.total_epochs = 120 cfg.data['imgs_per_gpu'] = 4 cfg.data['workers_per_gpu'] = 4 cfg.work_dir = './work_dirs/debug/BDD-s/res101' cfg.load_from = None cfg.resume_from = None cfg.checkpoint_config['interval'] = 10 cfg.workflow = [('train', 10)] for k, v in cfg.__dict__.items(): if not k.startswith('__'):
# Format of the command to get configs: # # $MODEL_NAME-$TASKS # # task correspondence: # l - Lane marking # r - Drivable area # s - Semantic segmentation # d - Detection # i - Instance Segmentation # t - Multiple object Tracking # x - Multiple object Tracking with Segmentation # ################################################################################ cfg = get_configs('dla34up-l') # Override default configs. Feel free to override more fields cfg.optimizer['lr'] = 0.02 cfg.lr_config['step'] = [8, 11] cfg.total_epochs = 12 cfg.data['imgs_per_gpu'] = 4 cfg.data['workers_per_gpu'] = 4 cfg.work_dir = './work_dirs/debug/BDD-l/dla34up' cfg.load_from = None cfg.resume_from = None for k, v in cfg.__dict__.items(): if not k.startswith('__'): setattr(sys.modules[__name__], k, v)
# Format of the command to get configs: # # $MODEL_NAME-$TASKS # # task correspondence: # l - Lane marking # r - Drivable area # s - Semantic segmentation # d - Detection # i - Instance Segmentation # t - Multiple object Tracking # x - Multiple object Tracking with Segmentation # ################################################################################ cfg = get_configs('dla60up-d') # Override default configs. Feel free to override more fields cfg.optimizer['lr'] = 0.02 cfg.lr_config['step'] = [8, 11] cfg.total_epochs = 12 cfg.data['imgs_per_gpu'] = 2 cfg.data['workers_per_gpu'] = 2 cfg.work_dir = './work_dirs/debug/mtl-d-dla60up' cfg.load_from = None cfg.resume_from = None for k, v in cfg.__dict__.items(): if not k.startswith('__'): setattr(sys.modules[__name__], k, v)
# Format of the command to get configs: # # $MODEL_NAME-$TASKS # # task correspondence: # l - Lane marking # r - Drivable area # s - Semantic segmentation # d - Detection # i - Instance Segmentation # t - Multiple object Tracking # x - Multiple object Tracking with Segmentation # ################################################################################ cfg = get_configs('dla34up-t') # Override default configs. Feel free to override more fields cfg.optimizer['lr'] = 0.02 cfg.lr_config['step'] = [4, 5] cfg.total_epochs = 6 cfg.data['imgs_per_gpu'] = 4 cfg.data['workers_per_gpu'] = 4 cfg.work_dir = './work_dirs/debug/BDD-t/dla34up' cfg.load_from = None cfg.resume_from = None for k, v in cfg.__dict__.items(): if not k.startswith('__'): setattr(sys.modules[__name__], k, v)
# Format of the command to get configs: # # $MODEL_NAME-$TASKS # # task correspondence: # l - Lane marking # r - Drivable area # s - Semantic segmentation # d - Detection # i - Instance Segmentation # t - Multiple object Tracking # x - Multiple object Tracking with Segmentation # ################################################################################ cfg = get_configs('dla34-c') # Override default configs. Feel free to override more fields cfg.optimizer['lr'] = 0.002 cfg.lr_config['step'] = [80, 110] cfg.total_epochs = 120 cfg.data['imgs_per_gpu'] = 8 cfg.data['workers_per_gpu'] = 8 cfg.work_dir = './work_dirs/debug/BDD-c/dla34' cfg.load_from = None cfg.resume_from = None # './work_dirs/debug/BDD-c/dla34/latest.pth' for k, v in cfg.__dict__.items(): if not k.startswith('__'): setattr(sys.modules[__name__], k, v)
# Format of the command to get configs: # # $MODEL_NAME-$TASKS # # task correspondence: # l - Lane marking # r - Drivable area # s - Semantic segmentation # d - Detection # i - Instance Segmentation # t - Multiple object Tracking # x - Multiple object Tracking with Segmentation # ################################################################################ cfg = get_configs('dla34up-x') # Override default configs. Feel free to override more fields cfg.optimizer['lr'] = 0.02 cfg.lr_config['step'] = [16, 22] cfg.total_epochs = 24 cfg.data['imgs_per_gpu'] = 4 cfg.data['workers_per_gpu'] = 4 cfg.work_dir = './work_dirs/debug/BDD-x-legacy-24/dla34up' cfg.load_from = None cfg.resume_from = './work_dirs/debug/BDD-x-legacy/dla34up/epoch_16.pth' for k, v in cfg.__dict__.items(): if not k.startswith('__'): setattr(sys.modules[__name__], k, v)
# Format of the command to get configs: # # $MODEL_NAME-$TASKS # # task correspondence: # l - Lane marking # r - Drivable area # s - Semantic segmentation # d - Detection # i - Instance Segmentation # t - Multiple object Tracking # x - Multiple object Tracking with Segmentation # ################################################################################ cfg = get_configs('dla34up-i') # Override default configs. Feel free to override more fields cfg.optimizer['lr'] = 0.02 cfg.lr_config['step'] = [80, 110] cfg.total_epochs = 120 cfg.data['imgs_per_gpu'] = 4 cfg.data['workers_per_gpu'] = 4 cfg.work_dir = './work_dirs/debug/BDD-i/dla34up' cfg.load_from = None cfg.resume_from = None for k, v in cfg.__dict__.items(): if not k.startswith('__'): setattr(sys.modules[__name__], k, v)
# Format of the command to get configs: # # $MODEL_NAME-$TASKS # # task correspondence: # l - Lane marking # r - Drivable area # s - Semantic segmentation # d - Detection # i - Instance Segmentation # t - Multiple object Tracking # x - Multiple object Tracking with Segmentation # ################################################################################ cfg = get_configs('res50-r') # Override default configs. Feel free to override more fields cfg.optimizer['lr'] = 0.02 cfg.lr_config['step'] = [8, 11] cfg.total_epochs = 12 cfg.data['imgs_per_gpu'] = 8 cfg.data['workers_per_gpu'] = 8 cfg.work_dir = './work_dirs/debug/BDD-r/res50' cfg.load_from = None cfg.resume_from = None for k, v in cfg.__dict__.items(): if not k.startswith('__'): setattr(sys.modules[__name__], k, v)
# Format of the command to get configs: # # $MODEL_NAME-$TASKS # # task correspondence: # l - Lane marking # r - Drivable area # s - Semantic segmentation # d - Detection # i - Instance Segmentation # t - Multiple object Tracking # x - Multiple object Tracking with Segmentation # ################################################################################ cfg = get_configs('dla34up-lrsditx') # Override default configs. Feel free to override more fields cfg.optimizer['lr'] = 0.02 cfg.lr_config['step'] = [8, 11] cfg.total_epochs = 12 cfg.data['imgs_per_gpu'] = 4 cfg.data['workers_per_gpu'] = 4 cfg.work_dir = './work_dirs/debug/mtl-lrsditx' cfg.load_from = None cfg.resume_from = None for k, v in cfg.__dict__.items(): if not k.startswith('__'): setattr(sys.modules[__name__], k, v)
# Format of the command to get configs: # # $MODEL_NAME-$TASKS # # task correspondence: # l - Lane marking # r - Drivable area # s - Semantic segmentation # d - Detection # i - Instance Segmentation # t - Multiple object Tracking # x - Multiple object Tracking with Segmentation # ################################################################################ cfg = get_configs('dla34up-d') # Override default configs. Feel free to override more fields cfg.optimizer['lr'] = 0.02 cfg.lr_config['step'] = [16, 22] cfg.total_epochs = 24 cfg.data['imgs_per_gpu'] = 4 cfg.data['workers_per_gpu'] = 4 cfg.work_dir = './work_dirs/debug/BDD-d_clear-30k/dla34up' cfg.load_from = None cfg.resume_from = None cfg.data['train'][0][ 'ann_file'] = cfg.data['train'][0]['ann_file'][:-5] + '_clear_30k.json' cfg.data['test'][0][ 'ann_file'] = cfg.data['val'][0]['ann_file'][:-5] + '_clear.json'
# Format of the command to get configs: # # $MODEL_NAME-$TASKS # # task correspondence: # l - Lane marking # r - Drivable area # s - Semantic segmentation # d - Detection # i - Instance Segmentation # t - Multiple object Tracking # x - Multiple object Tracking with Segmentation # ################################################################################ cfg = get_configs('res101-r') # Override default configs. Feel free to override more fields cfg.optimizer['lr'] = 0.02 cfg.lr_config['step'] = [8, 11] cfg.total_epochs = 12 cfg.data['imgs_per_gpu'] = 4 cfg.data['workers_per_gpu'] = 4 cfg.work_dir = './work_dirs/debug/BDD-r/res101' cfg.load_from = None cfg.resume_from = None for k, v in cfg.__dict__.items(): if not k.startswith('__'): setattr(sys.modules[__name__], k, v)
# Format of the command to get configs: # # $MODEL_NAME-$TASKS # # task correspondence: # l - Lane marking # r - Drivable area # s - Semantic segmentation # d - Detection # i - Instance Segmentation # t - Multiple object Tracking # x - Multiple object Tracking with Segmentation # ################################################################################ cfg = get_configs('res50-s') # Override default configs. Feel free to override more fields cfg.optimizer['lr'] = 0.02 cfg.lr_config['step'] = [160, 220] cfg.total_epochs = 240 cfg.data['imgs_per_gpu'] = 8 cfg.data['workers_per_gpu'] = 8 cfg.work_dir = './work_dirs/debug/BDD-s/res50_2x' cfg.load_from = None cfg.resume_from = None cfg.checkpoint_config['interval'] = 10 cfg.workflow = [('train', 10)] for k, v in cfg.__dict__.items(): if not k.startswith('__'):