I had used a pre-trained model in tensorflow object detection API. I tested in VS code and have an error like this:
tensorflow.python.framework.errors_impl.InvalidArgumentError: {{function_node _wrapped__IteratorGetNext_output_types_16_device/job:localhost/replica:0/task:0/device:GPU:0}} Input is empty.
[[{{function_node case_cond_cond_jpeg_false_220}}{{node case/cond/cond_jpeg/decode_image/DecodeImage}}]]
[[MultiDeviceIteratorGetNextFromShard]]
[[RemoteCall]] [Op:IteratorGetNext]
I need some help for my project. Thanks !
Hi @Minh_Vu, Welcome to the Forum.
The error can occur if the dataset you’ve provided is empty or it contains unsupported or corrupt files.
Please check the path you’ve provided for the dataset and check if it contains valid files.
Let me know if that works for you, if not please provide some code to reproduce.
Thanks!
[MinhV201/data](https:/[GitHub - MinhV201/data]. Here is my data that is used to train my model
