I am getting the following error when I try to train a FOMO Model. Not all of the samples have been labelled yet… I am trying to build a model to see if it is good enough to label the rest. I also started this project as an image classification project, and then did a Version/Restore to create a new project so I could try Object Detection on the data set. Not sure if that added some confusing cruft to the data objects.
It is project ID: 133736
Creating job... OK (ID: 3822466) Scheduling job in cluster... Job started Scheduling job in cluster... Job started Splitting data into training and validation sets... Traceback (most recent call last): File "/home/train.py", line 368, in <module> main_function() File "/home/train.py", line 307, in main_function train_dataset, validation_dataset, samples_dataset, X_train, X_test, Y_train, Y_test, has_samples, X_samples, Y_samples = ei_tensorflow.training.get_dataset_from_folder( File "/app/./resources/libraries/ei_tensorflow/training.py", line 164, in get_dataset_from_folder X_train, X_test, Y_train, Y_test, X_train_raw = split_and_shuffle_data( File "/app/./resources/libraries/ei_tensorflow/training.py", line 50, in split_and_shuffle_data Y = ei_tensorflow.utils.load_y_structured(dir_path, 'y_train.npy', len(X)) File "/app/./resources/libraries/ei_tensorflow/utils.py", line 7, in load_y_structured Y_structured_file = json.loads(file.read()) File "/usr/lib/python3.8/codecs.py", line 322, in decode (result, consumed) = self._buffer_decode(data, self.errors, final) UnicodeDecodeError: 'utf-8' codec can't decode byte 0x93 in position 0: invalid start byte Application exited with code 1