RuntimeError: './data/market1501' is not available

[lucky1yday]

I use colab to run your code. I have put the data set in the specified location, but I still throw an error. Please help me. Thank you.

2022-08-26 10:36:30,952 reid_baseline INFO: Using 1 GPUS
2022-08-26 10:36:30,952 reid_baseline INFO: Namespace(config_file='configs/softmax_triplet.yml', opts=['MODEL.DEVICE_ID', "('your device id')", 'DATASETS.NAMES', "('market1501')", 'OUTPUT_DIR', "('your path to save checkpoints and logs')"])
2022-08-26 10:36:30,953 reid_baseline INFO: Loaded configuration file configs/softmax_triplet.yml
2022-08-26 10:36:30,954 reid_baseline INFO:
MODEL:
PRETRAIN_CHOICE: 'imagenet'
PRETRAIN_PATH: '/home/haoluo/.torch/models/resnet50-19c8e357.pth'
METRIC_LOSS_TYPE: 'triplet'
IF_LABELSMOOTH: 'on'
IF_WITH_CENTER: 'no'

INPUT:
SIZE_TRAIN: [256, 128]
SIZE_TEST: [256, 128]
PROB: 0.5 # random horizontal flip
RE_PROB: 0.5 # random erasing
PADDING: 10

DATASETS:
NAMES: ('market1501')

DATALOADER:
SAMPLER: 'softmax_triplet'
NUM_INSTANCE: 4
NUM_WORKERS: 8

SOLVER:
OPTIMIZER_NAME: 'Adam'
MAX_EPOCHS: 120
BASE_LR: 0.00035

CLUSTER_MARGIN: 0.3

CENTER_LR: 0.5
CENTER_LOSS_WEIGHT: 0.0005

RANGE_K: 2
RANGE_MARGIN: 0.3
RANGE_ALPHA: 0
RANGE_BETA: 1
RANGE_LOSS_WEIGHT: 1

BIAS_LR_FACTOR: 1
WEIGHT_DECAY: 0.0005
WEIGHT_DECAY_BIAS: 0.0005
IMS_PER_BATCH: 64

STEPS: [40, 70]
GAMMA: 0.1

WARMUP_FACTOR: 0.01
WARMUP_ITERS: 10
WARMUP_METHOD: 'linear'

CHECKPOINT_PERIOD: 40
LOG_PERIOD: 20
EVAL_PERIOD: 40

TEST:
IMS_PER_BATCH: 128
RE_RANKING: 'no'
WEIGHT: "path"
NECK_FEAT: 'after'
FEAT_NORM: 'yes'

OUTPUT_DIR: "/home/haoluo/log/gu/reid_baseline_review/Opensource_test/market1501/Experiment-all-tricks-256x128-bs16x4-warmup10-erase0_5-labelsmooth_on-laststride1-bnneck_on"

2022-08-26 10:36:30,954 reid_baseline INFO: Running with config:
DATALOADER:
NUM_INSTANCE: 4
NUM_WORKERS: 8
SAMPLER: softmax_triplet
DATASETS:
NAMES: market1501
ROOT_DIR: ./data
INPUT:
PADDING: 10
PIXEL_MEAN: [0.485, 0.456, 0.406]
PIXEL_STD: [0.229, 0.224, 0.225]
PROB: 0.5
RE_PROB: 0.5
SIZE_TEST: [256, 128]
SIZE_TRAIN: [256, 128]
MODEL:
DEVICE: cuda
DEVICE_ID: your device id
IF_LABELSMOOTH: on
IF_WITH_CENTER: no
LAST_STRIDE: 1
METRIC_LOSS_TYPE: triplet
NAME: resnet50
NECK: bnneck
PRETRAIN_CHOICE: imagenet
PRETRAIN_PATH: /home/haoluo/.torch/models/resnet50-19c8e357.pth
OUTPUT_DIR: your path to save checkpoints and logs
SOLVER:
BASE_LR: 0.00035
BIAS_LR_FACTOR: 1
CENTER_LOSS_WEIGHT: 0.0005
CENTER_LR: 0.5
CHECKPOINT_PERIOD: 40
CLUSTER_MARGIN: 0.3
EVAL_PERIOD: 40
GAMMA: 0.1
IMS_PER_BATCH: 64
LOG_PERIOD: 20
MARGIN: 0.3
MAX_EPOCHS: 120
MOMENTUM: 0.9
OPTIMIZER_NAME: Adam
RANGE_ALPHA: 0
RANGE_BETA: 1
RANGE_K: 2
RANGE_LOSS_WEIGHT: 1
RANGE_MARGIN: 0.3
STEPS: (40, 70)
WARMUP_FACTOR: 0.01
WARMUP_ITERS: 10
WARMUP_METHOD: linear
WEIGHT_DECAY: 0.0005
WEIGHT_DECAY_BIAS: 0.0005
TEST:
FEAT_NORM: yes
IMS_PER_BATCH: 128
NECK_FEAT: after
RE_RANKING: no
WEIGHT: path
Traceback (most recent call last):
File "tools/train.py", line 158, in
main()
File "tools/train.py", line 154, in main
train(cfg)
File "tools/train.py", line 27, in train
train_loader, val_loader, num_query, num_classes = make_data_loader(cfg)
File "./data/build.py", line 23, in make_data_loader
dataset = init_dataset(cfg.DATASETS.NAMES, root=cfg.DATASETS.ROOT_DIR)
File "./data/datasets/init.py", line 29, in init_dataset
return __factory[name](*args, **kwargs)
File "./data/datasets/market1501.py", line 35, in init
self._check_before_run()
File "./data/datasets/market1501.py", line 56, in _check_before_run
raise RuntimeError("'{}' is not available".format(self.dataset_dir))
RuntimeError: './data/market1501' is not available

[WANGCHAO1996]

请问怎么解决的

[ikol5263]

I have this problem too

[ikol5263]

have you solved it?

[kun2001github]

Hi, I also encountered the same problem, please solve it?