My first posting on this forum. Please forgive me if I’m in the wrong place, and any suggestions for the proper way to ask would be appreciated.
I’m self-teaching Tensorflow Object Detection in hopes of being able to identify and count nesting birds from UAV images using available tutorials.
I am able to train and detect with all the various models in the Tensorflow Zoo using my tutorial base setup except the Faster R-CNN versions.
On any Faster R-CNN model I first get a new message :
“This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX AVX2
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.”
Followed by a failure :
“raise ValueError(’{} is not supported. See model_builder.py for features '”
I suspect this comes up from some sort of a version error between the tutorial environment and the Faster R-CNN pre-trained model, but I don’t know where to start to find a path forward.
Here is the pre-trained model I’m using…
‘http://download.tensorflow.org/models/object_detection/tf2/20200711/faster_rcnn_resnet50_v1_640x640_coco17_tpu-8.tar.gz 4’
Any suggestions would be appreciated, including any recommendations of where I might find a consulting service to assist.
Thanks in advance