将我的数据集转换为 TFrecord 格式以在 colab 中运行 Deeplabs 时出错

如何解决将我的数据集转换为 TFrecord 格式以在 colab 中运行 Deeplabs 时出错

我正在尝试在 Colab 中的自定义数据集上运行 Deeplabs。我想将我的数据集转换为 TFRecord 格式，但是当我运行 build_voc2012_data.py 文件时出现错误。有人能告诉我为什么我得到它以及如何摆脱它吗？

!python build_voc2012_data.py \
--image_folder="./skin_lesion/JPEGImages" \
--semantic_segmentation_folder="./skin_lesion/SegmentationClass" \
--list_folder="./skin_lesion/imagesets/Segmentation" \
--image_format="jpg" \
--output_dir="./tfrecord"

2020-12-28 06:34:25.620292: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.10.1
2020-12-28 06:34:28.833301: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices,tf_xla_enable_xla_devices not set
2020-12-28 06:34:28.866544: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1
2020-12-28 06:34:28.929087: E tensorflow/stream_executor/cuda/cuda_driver.cc:328] Failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected
2020-12-28 06:34:28.929146: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (a0267f2cdac9): /proc/driver/nvidia/version does not exist
2020-12-28 06:34:28.929781: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices,tf_xla_enable_xla_devices not set
2020-12-28 06:34:28.933455: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices,tf_xla_enable_xla_devices not set
Processing trainTraceback (most recent call last):
  File "build_voc2012_data.py",line 147,in <module>
    tf.app.run()
  File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/platform/app.py",line 40,in run
    _run(main=main,argv=argv,flags_parser=_parse_flags_tolerate_undef)
  File "/usr/local/lib/python3.6/dist-packages/absl/app.py",line 300,in run
    _run_main(main,args)
  File "/usr/local/lib/python3.6/dist-packages/absl/app.py",line 251,in _run_main
    sys.exit(main(argv))
  File "build_voc2012_data.py",line 143,in main
    _convert_dataset(dataset_split)
  File "build_voc2012_data.py",line 112,in _convert_dataset
    with tf.python_io.TFRecordWriter(output_filename) as tfrecord_writer:
  File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/lib/io/tf_record.py",line 299,in __init__
    compat.as_bytes(path),options._as_record_writer_options())
tensorflow.python.framework.errors_impl.NotFoundError: ./tfrecord/train-00000-of-00004.tfrecord; No such file or directory

解决方法

由于错误清楚地表明这是 tfrecord 输出目录的 No such file or directory 问题。
您可以在output_dir中提及绝对路径，在colab中您可以右键单击文件夹和copy path以获取目录的绝对路径。