Fawkes won't install on Windows

[ChristianBolton]

Hello. My goal is to run Fawkes in high and mid modes on a Windows computer. I have installed the graphical user interface program that can be downloaded here:.: . :

https://sandlab.cs.uchicago.edu/fawkes/

That G.U.I. program does run, but it cloaks everything in low mode. My goal is to run Fawkes in high and mid modes on a Windows computer. I tried running

pip install fawkes

Doing that does install fawkes 1.0.3. When I run

pip list

fawkes 1.0.3 is listed. However, when I run

fawkes

it says:

2024-08-15 22:47:25.644492: I tensorflow/core/util/port.cc:153] 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.
2024-08-15 22:47:32.669475: I tensorflow/core/util/port.cc:153] 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.
2024-08-15 22:47:50.201224: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.

and then it just stops and hangs until I do a keyboard interrupt (control-C). When I try to run fawkes on a specific image file, it says the following:

2024-08-15 22:55:20.975100: I tensorflow/core/util/port.cc:153] 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.
2024-08-15 22:55:21.882344: I tensorflow/core/util/port.cc:153] 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.
2024-08-15 22:55:23.433590: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
Traceback (most recent call last):
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\keras\src\ops\operation.py", line 234, in from_config
return cls(**config)
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\keras\src\layers\convolutional\depthwise_conv2d.py", line 120, in init
super().init(
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\keras\src\layers\convolutional\base_depthwise_conv.py", line 106, in init
super().init(
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\keras\src\layers\layer.py", line 285, in init
raise ValueError(
ValueError: Unrecognized keyword arguments passed to DepthwiseConv2D: {'groups': 1}

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.10_3.10.3056.0_x64__qbz5n2kfra8p0\lib\runpy.py", line 196, in _run_module_as_main
return _run_code(code, main_globals, None,
File "C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.10_3.10.3056.0_x64__qbz5n2kfra8p0\lib\runpy.py", line 86, in run_code
exec(code, run_globals)
File "c:\users\chris\appdata\local\packages\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\localcache\local-packages\python310\scripts\fawkes.exe_main.py", line 7, in
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\fawkes\protection.py", line 192, in main
protector = Fawkes(args.feature_extractor, args.gpu, args.batch_size, mode=args.mode)
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\fawkes\protection.py", line 56, in init
self.feature_extractors_ls = [load_extractor(name) for name in extractors]
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\fawkes\protection.py", line 56, in
self.feature_extractors_ls = [load_extractor(name) for name in extractors]
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\fawkes\utils.py", line 437, in load_extractor
model = keras.models.load_model(model_file)
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\keras\src\saving\saving_api.py", line 194, in load_model
return legacy_h5_format.load_model_from_hdf5(
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\keras\src\legacy\saving\legacy_h5_format.py", line 133, in load_model_from_hdf5
model = saving_utils.model_from_config(
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\keras\src\legacy\saving\saving_utils.py", line 85, in model_from_config
return serialization.deserialize_keras_object(
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\keras\src\legacy\saving\serialization.py", line 495, in deserialize_keras_object
deserialized_obj = cls.from_config(
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\keras\src\models\model.py", line 525, in from_config
return functional_from_config(
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\keras\src\models\functional.py", line 477, in functional_from_config
process_layer(layer_data)
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\keras\src\models\functional.py", line 457, in process_layer
layer = saving_utils.model_from_config(
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\keras\src\legacy\saving\saving_utils.py", line 85, in model_from_config
return serialization.deserialize_keras_object(
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\keras\src\legacy\saving\serialization.py", line 495, in deserialize_keras_object
deserialized_obj = cls.from_config(
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\keras\src\models\model.py", line 525, in from_config
return functional_from_config(
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\keras\src\models\functional.py", line 477, in functional_from_config
process_layer(layer_data)
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\keras\src\models\functional.py", line 457, in process_layer
layer = saving_utils.model_from_config(
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\keras\src\legacy\saving\saving_utils.py", line 85, in model_from_config
return serialization.deserialize_keras_object(
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\keras\src\legacy\saving\serialization.py", line 504, in deserialize_keras_object
deserialized_obj = cls.from_config(cls_config)
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\keras\src\ops\operation.py", line 236, in from_config
raise TypeError(
TypeError: Error when deserializing class 'DepthwiseConv2D' using config={'name': 'block1a_dwconv', 'trainable': True, 'dtype': 'float32', 'kernel_size': [3, 3], 'strides': [1, 1], 'padding': 'same', 'data_format': 'channels_last', 'dilation_rate': [1, 1], 'groups': 1, 'activation': 'linear', 'use_bias': False, 'bias_initializer': {'class_name': 'Zeros', 'config': {}}, 'bias_regularizer': None, 'activity_regularizer': None, 'bias_constraint': None, 'depth_multiplier': 1, 'depthwise_initializer': {'class_name': 'VarianceScaling', 'config': {'scale': 2.0, 'mode': 'fan_out', 'distribution': 'truncated_normal', 'seed': None}}, 'depthwise_regularizer': None, 'depthwise_constraint': None}.

Exception encountered: Unrecognized keyword arguments passed to DepthwiseConv2D: {'groups': 1}2024-08-15 22:55:20.975100: I tensorflow/core/util/port.cc:153] 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.
2024-08-15 22:55:21.882344: I tensorflow/core/util/port.cc:153] 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.
2024-08-15 22:55:23.433590: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
Traceback (most recent call last):
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\keras\src\ops\operation.py", line 234, in from_config
return cls(**config)
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\keras\src\layers\convolutional\depthwise_conv2d.py", line 120, in init
super().init(
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\keras\src\layers\convolutional\base_depthwise_conv.py", line 106, in init
super().init(
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\keras\src\layers\layer.py", line 285, in init
raise ValueError(
ValueError: Unrecognized keyword arguments passed to DepthwiseConv2D: {'groups': 1}

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.10_3.10.3056.0_x64__qbz5n2kfra8p0\lib\runpy.py", line 196, in _run_module_as_main
return _run_code(code, main_globals, None,
File "C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.10_3.10.3056.0_x64__qbz5n2kfra8p0\lib\runpy.py", line 86, in run_code
exec(code, run_globals)
File "c:\users\chris\appdata\local\packages\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\localcache\local-packages\python310\scripts\fawkes.exe_main.py", line 7, in
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\fawkes\protection.py", line 192, in main
protector = Fawkes(args.feature_extractor, args.gpu, args.batch_size, mode=args.mode)
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\fawkes\protection.py", line 56, in init
self.feature_extractors_ls = [load_extractor(name) for name in extractors]
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\fawkes\protection.py", line 56, in
self.feature_extractors_ls = [load_extractor(name) for name in extractors]
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\fawkes\utils.py", line 437, in load_extractor
model = keras.models.load_model(model_file)
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\keras\src\saving\saving_api.py", line 194, in load_model
return legacy_h5_format.load_model_from_hdf5(
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\keras\src\legacy\saving\legacy_h5_format.py", line 133, in load_model_from_hdf5
model = saving_utils.model_from_config(
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\keras\src\legacy\saving\saving_utils.py", line 85, in model_from_config
return serialization.deserialize_keras_object(
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\keras\src\legacy\saving\serialization.py", line 495, in deserialize_keras_object
deserialized_obj = cls.from_config(
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\keras\src\models\model.py", line 525, in from_config
return functional_from_config(
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\keras\src\models\functional.py", line 477, in functional_from_config
process_layer(layer_data)
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\keras\src\models\functional.py", line 457, in process_layer
layer = saving_utils.model_from_config(
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\keras\src\legacy\saving\saving_utils.py", line 85, in model_from_config
return serialization.deserialize_keras_object(
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\keras\src\legacy\saving\serialization.py", line 495, in deserialize_keras_object
deserialized_obj = cls.from_config(
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\keras\src\models\model.py", line 525, in from_config
return functional_from_config(
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\keras\src\models\functional.py", line 477, in functional_from_config
process_layer(layer_data)
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\keras\src\models\functional.py", line 457, in process_layer
layer = saving_utils.model_from_config(
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\keras\src\legacy\saving\saving_utils.py", line 85, in model_from_config
return serialization.deserialize_keras_object(
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\keras\src\legacy\saving\serialization.py", line 504, in deserialize_keras_object
deserialized_obj = cls.from_config(cls_config)
File "C:\Users\chris\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\keras\src\ops\operation.py", line 236, in from_config
raise TypeError(
TypeError: Error when deserializing class 'DepthwiseConv2D' using config={'name': 'block1a_dwconv', 'trainable': True, 'dtype': 'float32', 'kernel_size': [3, 3], 'strides': [1, 1], 'padding': 'same', 'data_format': 'channels_last', 'dilation_rate': [1, 1], 'groups': 1, 'activation': 'linear', 'use_bias': False, 'bias_initializer': {'class_name': 'Zeros', 'config': {}}, 'bias_regularizer': None, 'activity_regularizer': None, 'bias_constraint': None, 'depth_multiplier': 1, 'depthwise_initializer': {'class_name': 'VarianceScaling', 'config': {'scale': 2.0, 'mode': 'fan_out', 'distribution': 'truncated_normal', 'seed': None}}, 'depthwise_regularizer': None, 'depthwise_constraint': None}.

Exception encountered: Unrecognized keyword arguments passed to DepthwiseConv2D: {'groups': 1}

Can anyone here tell me what went wrong? Can anyone here tell me what I need to do in order to install fawkes to run on the command line? As I mentioned above, my goal is to run fawkes in high and mid modes on a Windows computer.

I appreciate any input or suggestions that anyone here has. Thank you.