the all score all 0.0

[yuheyuan]

(yy_DADA) ailab@ailab:/media/ailab/data/yy/DADA/dada/scripts$ python test.py --cfg ./configs_s2c/dada_pretrained.yml
Called with args:
Namespace(cfg='./configs_s2c/dada_pretrained.yml', exp_suffix=None)
Using config:
{'DATA_DIRECTORY_SOURCE': '/media/ailab/data/yy/DADA/data/SYNTHIA',
 'DATA_DIRECTORY_TARGET': '/media/ailab/data/yy/DADA/data/Cityscapes',
 'DATA_LIST_SOURCE': '/media/ailab/data/yy/DADA/dada/dataset/synthia_list/{}.txt',
 'DATA_LIST_TARGET': '/media/ailab/data/yy/DADA/dada/dataset/cityscapes_list/{}.txt',
 'EXP_NAME': 'SYNTHIA2Cityscapes_DeepLabv2_DADA_pretrained',
 'EXP_ROOT': PosixPath('/media/ailab/data/yy/DADA/experiments'),
 'EXP_ROOT_LOGS': '/media/ailab/data/yy/DADA/experiments/logs',
 'EXP_ROOT_SNAPSHOT': '/media/ailab/data/yy/DADA/experiments/snapshots',
 'GPU_ID': 0,
 'NUM_CLASSES': 16,
 'NUM_WORKERS': 4,
 'SOURCE': 'SYNTHIA',
 'TARGET': 'Cityscapes',
 'TEST': {'BATCH_SIZE_TARGET': 1,
          'IMG_MEAN': array([104.00699, 116.66877, 122.67892], dtype=float32),
          'INFO_TARGET': '/media/ailab/data/yy/DADA/dada/dataset/cityscapes_list/info16class.json',
          'INPUT_SIZE_TARGET': [1024, 512],
          'MODE': 'single',
          'MODEL': ['DeepLabv2_depth'],
          'MODEL_WEIGHT': [1.0],
          'MULTI_LEVEL': [False],
          'OUTPUT_SIZE_TARGET': [2048, 1024],
          'RESTORE_FROM': ['../../pretrained_models/synthia2cityscapes_dada.pth'],
          'SET_TARGET': 'val',
          'SNAPSHOT_DIR': ['/media/ailab/data/yy/DADA/experiments/snapshots/SYNTHIA2Cityscapes_DeepLabv2_DADA_pretrained'],
          'SNAPSHOT_MAXITER': 90000,
          'SNAPSHOT_STEP': 2000,
          'WAIT_MODEL': True},
 'TRAIN': {'BATCH_SIZE_SOURCE': 1,
           'BATCH_SIZE_TARGET': 1,
           'DA_METHOD': 'DADA',
           'EARLY_STOP': 90000,
           'IGNORE_LABEL': 255,
           'IMG_MEAN': array([104.00699, 116.66877, 122.67892], dtype=float32),
           'INFO_SOURCE': '',
           'INFO_TARGET': '/media/ailab/data/yy/DADA/dada/dataset/cityscapes_list/info16class.json',
           'INPUT_SIZE_SOURCE': [1280, 760],
           'INPUT_SIZE_TARGET': [1024, 512],
           'LAMBDA_ADV_AUX': 0.0002,
           'LAMBDA_ADV_MAIN': 0.001,
           'LAMBDA_DEPTH_MAIN': 0.001,
           'LAMBDA_ENT_AUX': 0.0002,
           'LAMBDA_ENT_MAIN': 0.001,
           'LAMBDA_SEG_AUX': 0.1,
           'LAMBDA_SEG_MAIN': 1.0,
           'LEARNING_RATE': 0.00025,
           'LEARNING_RATE_D': 0.0001,
           'MAX_ITERS': 90000,
           'MODEL': 'DeepLabv2_depth',
           'MOMENTUM': 0.9,
           'MULTI_LEVEL': False,
           'POWER': 0.9,
           'RANDOM_SEED': 1234,
           'RESTORE_FROM': '',
           'SAVE_PRED_EVERY': 2000,
           'SET_SOURCE': 'all',
           'SET_TARGET': 'train',
           'SNAPSHOT_DIR': '',
           'TENSORBOARD_LOGDIR': '',
           'TENSORBOARD_VIZRATE': 100,
           'WEIGHT_DECAY': 0.0005},
 'USE_DEPTH': True}
real_ok,and then start load modlel
Iload model
start load datasets
start_evaluate
500it [29:02,  3.49s/it]
mIoU = 	1.99
road	0.0
sidewalk	0.02
building	17.48
wall	0.0
fence	0.0
pole	0.0
light	0.0
sign	0.0
vegetation	14.28
sky	0.0
person	0.0
rider	0.0
car	0.0
bus	0.0
motocycle	0.0
bicycle	0.0