'No configuration setting found for key force_n_crop'

[aloma85]

I downloaded your S3D-G pre-trained model for my action recognition task on UCF101 but I keep getting this error:

argument type: <class 'str'>
Setting ulimit -n 8192
world_size=1 Using dist_url=tcp://127.0.0.1:36879
Local Rank: 0
2021-12-30 07:31:39,148|INFO |Args =
Args(parser=None, config='config/finetune/ucf101_s3dg.jsonnet', ext_config=[], debug=False, experiment_dir=PosixPath('exps/ucf101-s3dg'), _run_dir=PosixPath('exps/ucf101-s3dg/run_2_20211230_073138'), load_checkpoint=None, load_model=None, validate=False, moco_checkpoint='exps/pretext-s3dg/model_best_s3dg_200epoch.pth.tar', seed=None, world_size=1, _continue=False, no_scale_lr=False)
2021-12-30 07:31:39,149|INFO |cudnn.benchmark = True
2021-12-30 07:31:39,278|INFO |Config =
batch_size = 4
dataset {
annotation_path = "data/UCF101/ucfTrainTestlist"
fold = 1
mean = [
0.485
0.456
0.406
]
name = "ucf101"
num_classes = 101
root = "data/UCF101/UCF-101"
std = [
0.229
0.224
0.225
]
}
final_validate {
batch_size = 4
}
log_interval = 10
method = "from-scratch"
model {
arch = "s3dg"
}
model_type = "multitask"
num_epochs = 50
num_workers = 8
optimizer {
dampening = 0
lr = 0.005
milestones = [
50
100
150
]
momentum = 0.9
nesterov = false
patience = 10
schedule = "cosine"
weight_decay = 0.0001
}
spatial_transforms {
color_jitter {
brightness = 0
contrast = 0
hue = 0
saturation = 0
}
crop_area {
max = 1
min = 0.25
}
gray_scale = 0
size = 224
}
temporal_transforms {
frame_rate = 25
size = 64
strides = [
{
stride = 1
weight = 1
}
]
validate {
final_n_crop = 10
n_crop = 1
stride = 1
}
}
validate {
batch_size = 4
}
2021-12-30 07:31:39,282|INFO |Using global get_model_class({'arch': 's3dg'})
2021-12-30 07:31:39,283|INFO |Using MultiTask Wrapper
2021-12-30 07:31:39,283|WARNING |<class 'moco.split_wrapper.MultiTaskWrapper'> using groups: 1
2021-12-30 07:31:39,383|INFO |Found fc: fc with in_features: 1024
2021-12-30 07:31:42,488|INFO |Building Dataset: VID: False, Split=train
2021-12-30 07:31:42,488|INFO |Temporal transform type: clip
Traceback (most recent call last):
File "finetune.py", line 502, in
main()
File "finetune.py", line 498, in main
mp.spawn(main_worker, args=(args, dist_url,), nprocs=args.world_size)
File "/home/ubuntu/anaconda3/envs/ucf101/lib/python3.8/site-packages/torch/multiprocessing/spawn.py", line 200, in spawn
return start_processes(fn, args, nprocs, join, daemon, start_method='spawn')
File "/home/ubuntu/anaconda3/envs/ucf101/lib/python3.8/site-packages/torch/multiprocessing/spawn.py", line 158, in start_processes
while not context.join():
File "/home/ubuntu/anaconda3/envs/ucf101/lib/python3.8/site-packages/torch/multiprocessing/spawn.py", line 119, in join
raise Exception(msg)
Exception:

-- Process 0 terminated with the following error:
Traceback (most recent call last):
File "/home/ubuntu/anaconda3/envs/ucf101/lib/python3.8/site-packages/torch/multiprocessing/spawn.py", line 20, in _wrap
fn(i, *args)
File "/home/ubuntu/RSPNet/finetune.py", line 452, in main_worker
engine = Engine(args, cfg, local_rank=local_rank)
File "/home/ubuntu/RSPNet/finetune.py", line 171, in init
self.train_loader = self.data_loader_factory.build(
File "/home/ubuntu/RSPNet/datasets/classification/init.py", line 81, in build
temporal_transform = self.get_temporal_transform(split)
File "/home/ubuntu/RSPNet/datasets/classification/init.py", line 276, in get_temporal_transform
if tt_cfg.get_bool("force_n_crop"):
File "/home/ubuntu/anaconda3/envs/ucf101/lib/python3.8/site-packages/pyhocon/config_tree.py", line 310, in get_bool
string_value = self.get_string(key, default)
File "/home/ubuntu/anaconda3/envs/ucf101/lib/python3.8/site-packages/pyhocon/config_tree.py", line 221, in get_string
value = self.get(key, default)
File "/home/ubuntu/anaconda3/envs/ucf101/lib/python3.8/site-packages/pyhocon/config_tree.py", line 209, in get
return self._get(ConfigTree.parse_key(key), 0, default)
File "/home/ubuntu/anaconda3/envs/ucf101/lib/python3.8/site-packages/pyhocon/config_tree.py", line 151, in _get
raise ConfigMissingException(u"No configuration setting found for key {key}".format(key='.'.join(key_path[:key_index + 1])))
pyhocon.exceptions.ConfigMissingException: 'No configuration setting found for key force_n_crop'