• Network Type:efficientdet-d5
• TLT Version: 5.5
Hi there,
I am trying to use Efficientdet-d5 pretrained model from Retail Object Detection Retail Object Detection | NVIDIA NGC.
But there is an issue when trying to load the file. TAO is not recognising the encryption key ‘nvidia_tlt’
With the following training spec:
train:
checkpoint: "/workspace/tao-experiments/models/trainable_retail_object_detection_v1.1/efficientdet-d5_090.tlt"
….
encryption_key: 'nvidia_tlt'
I am getting the following error
File "<frozen cv.efficientdet.model.efficientdet_module>", line 58, in __init__
File "<frozen cv.efficientdet.model.efficientdet_module>", line 117, in _load_pretrained_weights
File "<frozen cv.efficientdet.utils.helper>", line 74, in decode_eff
File "<frozen eff.core.file>", line 268, in get_handle
File "<frozen eff.core.file>", line 209, in decrypt
File "<frozen eff.core.file>", line -1, in check_decryption
PermissionError: The provided passphrase is invalid
I have tried the trainable model from v1.0 and it can load it correctly with the same encryption key.
Is there anything wrong on how the weights were encrypted?
Thanks
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