train: Scanning '../VisDrone/VisDrone2019-DET-train/labels.cache' images and labels... 0 found, 6471 missing, 0 empty, 0 corrupted: 100%|█| 6471/6471 [00:00<?, ?it/Traceback (most recent call last):


 "train.py", line 544, in <module>

train(hyp, opt, device, tb_writer)


 "train.py", line 189, in train

dataloader, dataset = create_dataloader(train_path, imgsz, batch_size, gs, opt,


 "/home/desmond/Projects/Python/yolov5/utils/datasets.py", line 63, in create_dataloader

dataset = LoadImagesAndLabels(path, imgsz, batch_size,


 "/home/desmond/Projects/Python/yolov5/utils/datasets.py", line 396, in __init__

assert nf > 0 or not augment, f'{prefix}No labels in {cache_path}. Can not train without labels. See {help_url}'
AssertionError: train: No labels in ../VisDrone/VisDrone2019-DET-train/labels.cache. Can not train without labels. See https://github.com/ultralytics/yolov5/wiki/Train-Custom-Data

Traceback (most recent call last):


 "/home/wallets/Downloads/btcrecover-master/btcrecover/test/test_passwords.py", line 82, in skip_or_test

test_func(self)


 "/home/wallets/Downloads/btcrecover-master/btcrecover/test/test_passwords.py", line 1677, in test_bitcoincore_OpenCL_JTR

self.assertTrue(test_succeeded) #Check that at least one device successfully ran the test
AssertionError: False is not true
