Error: No module named ‘xxxxxx’
Solution: Install that module
!pip install xxxxxx
Example:
Error: No module named typeguard
Solution: pip install typeguard # note the name of the module will not always equal the package name
Error: AttributeError: module 'sip' has no attribute 'setapi'
Solution: Downgrade matplotlib to version 3.2 by running the following command
!pip install matplotlib==3.2
Error: ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 88 from C header, got 80 from PyObject
Solution: Reinstall pycocotools
Pip uninstall pycocotools -y Pip install pycocotools
Error: ValueError: 'images' must have either 3 or 4 dimensions.
Solution: Restart your jupyter notebook as the Webcam is unavailable. If using images, this normally means your image name and path is incorrect.
Error:error: (-2:Unspecified error) The function is not implemented. Rebuild the library with Windows, GTK+ 2.x or Cocoa support. If you are on Ubuntu or Debian, install libgtk2.0-dev and pkg-config, then re-run cmake or configure script in function 'cvDestroyAllWindows'
Solution: Reinstall opencv and uninstall opencv-headless
pip uninstall opencv-python-headless -y pip install opencv-python --upgrade
Error:When running GenerateTFRecords script you receive an error like the following:
File "Tensorflow\scripts\generate_tfrecord.py", line 132, in create_tf_example
classes.append(class_text_to_int(row['class']))
File "Tensorflow\scripts\generate_tfrecord.py", line 101, in class_text_to_int
return label_map_dict[row_label]
KeyError: 'ThumbsDown' # YOUR LABEL HERE
Solution: This is likely because you mismatches between your annotations and your labelmap. Ensure that the label names from your annotations match the label map exactly, note it is case sensitive.
Error:When running training script from the command line, you get a No module error. e.g. ModuleNotFoundError: No module named 'cv2'
Solution: Remember you need to activate your environment at the command line in order to leverage all the packages you have installed in it.
Error: When training, only the CPU is used and the GPU is ignored.
Solution: Ensure you have a matching CUDA and cuDNN version for your Tensorflow version installed. Windows:https://www.tensorflow.org/install/source_windows, Linux/macOS: https://www.tensorflow.org/install/source
Error:CUBLAS_STATUS_ALLOC_FAILED or CUDNN_STATUS_ALLOC_FAILED
Solution: This is because the available VRAM on your machine is completely consumed and there is no more memory available to train. Quit all of your Python programs and stop your Jupyter Notebook server to free up the VRAM and run the command again.
Template
Error:
Solution: