!tensorflowjs_converter --input_format=keras {saved_model_path} ./
2024-04-29 19:15:23.619622: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable TF_ENABLE_ONEDNN_OPTS=0.
2024-04-29 19:15:25.016006: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable TF_ENABLE_ONEDNN_OPTS=0.
C:\Python312\Lib\site-packages\tensorflowjs\read_weights.py:28: FutureWarning: In the future np.object will be defined as the corresponding NumPy scalar.
np.uint8, np.uint16, np.object, np.bool]
Traceback (most recent call last):
File “”, line 198, in run_module_as_main
File “”, line 88, in run_code
File "C:\Python312\Scripts\tensorflowjs_converter.exe_main.py", line 4, in
File "C:\Python312\Lib\site-packages\tensorflowjs_init.py", line 21, in
from tensorflowjs import converters
File “C:\Python312\Lib\site-packages\tensorflowjs\converters_init_.py”, line 21, in
from tensorflowjs.converters.converter import convert
File “C:\Python312\Lib\site-packages\tensorflowjs\converters\converter.py”, line 35, in
from tensorflowjs.converters import keras_h5_conversion as conversion
File “C:\Python312\Lib\site-packages\tensorflowjs\converters\keras_h5_conversion.py”, line 33, in
from tensorflowjs import write_weights # pylint: disable=import-error
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File “C:\Python312\Lib\site-packages\tensorflowjs\write_weights.py”, line 25, in
from tensorflowjs import read_weights
File “C:\Python312\Lib\site-packages\tensorflowjs\read_weights.py”, line 28, in
np.uint8, np.uint16, np.object, np.bool]
^^^^^^^^^
File “C:\Python312\Lib\site-packages\numpy_init_.py”, line 338, in getattr
raise AttributeError(former_attrs[attr])
AttributeError: module ‘numpy’ has no attribute ‘object’.
np.object was a deprecated alias for the builtin object. To avoid this error in existing code, use object by itself. Doing this will not modify any behavior and is safe.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at: