._.DS_Store Image Not Found in gtf.Train(num_epochs=3) YOLO

[VedantKhairnar]

Getting the following Assertion Error while training model for Object Detection in YOLO Format
To reach the colab file, click here

Executing Line : gtf.Train(num_epochs=3)

Using CUDA Apex device0 _CudaDeviceProperties(name='Tesla K80', total_memory=11441MB)

Using multi-scale 288 - 640
Caching labels (3135 found, 0 missing, 935 empty, 0 duplicate, for 4071 images): 100%|██████████| 4070/4070 [00:00<00:00, 5703.77it/s]
Caching labels (3135 found, 0 missing, 935 empty, 0 duplicate, for 4071 images): 100%|██████████| 4070/4070 [00:00<00:00, 6226.00it/s]Model Summary: 222 layers, 6.15291e+07 parameters, 6.15291e+07 gradients
Using 2 dataloader workers
Starting training for 3 epochs...

     Epoch   gpu_mem      GIoU       obj       cls     total   targets  img_size

  0%|          | 0/2035 [00:00<?, ?it/s]/usr/local/lib/python3.6/dist-packages/torch/cuda/memory.py:346: FutureWarning: torch.cuda.memory_cached has been renamed to torch.cuda.memory_reserved
  FutureWarning)
       0/2     1.97G      6.18      3.94       132       142         9       512:   6%|▌         | 115/2035 [01:21<24:56,  1.28it/s]
---------------------------------------------------------------------------
AssertionError                            Traceback (most recent call last)
<ipython-input-38-54da62eea228> in <module>()
----> 1 gtf.Train(num_epochs=3)

6 frames
/usr/local/lib/python3.6/dist-packages/torch/_utils.py in reraise(self)
    393             # (https://bugs.python.org/issue2651), so we work around it.
    394             msg = KeyErrorMessage(msg)
--> 395         raise self.exc_type(msg)

AssertionError: Caught AssertionError in DataLoader worker process 1.
Original Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/torch/utils/data/_utils/worker.py", line 185, in _worker_loop
    data = fetcher.fetch(index)
  File "/usr/local/lib/python3.6/dist-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch
    data = [self.dataset[idx] for idx in possibly_batched_index]
  File "/usr/local/lib/python3.6/dist-packages/torch/utils/data/_utils/fetch.py", line 44, in <listcomp>
    data = [self.dataset[idx] for idx in possibly_batched_index]
  File "/content/Monk_Object_Detection/7_yolov3/lib/utils/datasets.py", line 435, in __getitem__
    img, labels = load_mosaic(self, index)
  File "/content/Monk_Object_Detection/7_yolov3/lib/utils/datasets.py", line 554, in load_mosaic
    img, _, (h, w) = load_image(self, index)
  File "/content/Monk_Object_Detection/7_yolov3/lib/utils/datasets.py", line 527, in load_image
    assert img is not None, 'Image Not Found ' + img_path
AssertionError: Image Not Found /content/hand_dataset/training_dataset/training_data/images/._.DS_Store

[abhi-kumar]

remove .DS_Store files from any directory if any.... They are created while porting folders/zipped files from mac to linux system. image folders should contain only images, label folders should contain only annotation files

[VedantKhairnar]

Total 2 such files were generated- ._.DS_Store and .DS_Store. Removing them solved the issue.
One can check for other files using

ls -a