OlanfenwaMoses thanks for everything, you almost saved my life :) but i need help for last step. How can i convert my h5 file to pb. I want to use my model at tensorflow project. Is the same efficiency when the h5 file is converted to a pb file ?
When i integrated my pb model to tensorflow object detection api, i display this error
Traceback (most recent call last):
File "inference_video_face.py", line 44, in
tf.import_graph_def(od_graph_def, name='')
File "C:\Users\gokalprogram\Miniconda3\lib\site-packages\tensorflow\python\util\deprecation.py", line 507, in new_func
return func(*args, **kwargs)
File "C:\Users\gokalprogram\Miniconda3\lib\site-packages\tensorflow\python\framework\importer.py", line 431, in import_graph_def
raise ValueError(str(e))
ValueError: Input 0 of node bnorm_0/cond/ReadVariableOp/Switch was passed float from bnorm_0/gamma:0 incompatible with expected resource.
Same, is it easy/possible to use a trained custom model (dataset = SVHN and model Yolov3 for multi digit recognition) with tensorflow, tensorflow.js, Tensorflow lite ?
OlanfenwaMoses thanks for everything, you almost saved my life :) but i need help for last step. How can i convert my h5 file to pb. I want to use my model at tensorflow project. Is the same efficiency when the h5 file is converted to a pb file ?
When i integrated my pb model to tensorflow object detection api, i display this error
Traceback (most recent call last): File "inference_video_face.py", line 44, in
tf.import_graph_def(od_graph_def, name='')
File "C:\Users\gokalprogram\Miniconda3\lib\site-packages\tensorflow\python\util\deprecation.py", line 507, in new_func
return func(*args, **kwargs)
File "C:\Users\gokalprogram\Miniconda3\lib\site-packages\tensorflow\python\framework\importer.py", line 431, in import_graph_def
raise ValueError(str(e))
ValueError: Input 0 of node bnorm_0/cond/ReadVariableOp/Switch was passed float from bnorm_0/gamma:0 incompatible with expected resource.