I want to load .h5
model from .zip
file with password without extracting .h5
file. I can use only python==3.6, h5py==2.10, tensorflow==1.4.0
. My code is below:
import h5py
import zipfile
import tensorflow as tf
archive = zipfile.ZipFile('test_zip.zip')
for file in archive.infolist():
model_h5_file = archive.open(file, pwd=pwd)
h5_file1 = h5py.File(model_h5_file, 'r') # gives an error "io.UnsupportedOperation: seek"
h5_file2 = tf.keras.models.load_model(model_h5_file, custom_objects={'auc_roc': auc_roc}) # gives an error "io.UnsupportedOperation: seek"
How can I load my .h5 file with keras?
This is how I used to do it with a custom model that had multiple files
import zipfile
import tensorflow as tf
with zipfile.ZipFile('test_zip.zip') as zip_file:
model = tf.saved_model.load("model.h5")
I hope it is what you were looking for.
Here are some resources if you want to div deep on that: https://docs.python.org/3/library/zipfile.html#zipfile.ZipFile.open https://www.tensorflow.org/api_docs/python/tf/saved_model/load
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