Fawkes won't install on Windows #186
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PulfordJ
added a commit
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Feb 8, 2025
…ed reading the research paper. However, numerous issues and pull requests have resulted from how difficult it is to run after initially downloading it due to poorly documented python version requirements and compatibility collapse with numerous dependencies following ~4 years of drift. Example links in the last paragraph for brevity. Action: I rewrote the setup code to depend on pyenv and poetry allowing us to explicitly require the use of python 3.9.0 rather than having users guess at how best to execute the code. I've used stricter dependency requirements (lots of ~= in pyproject.toml dependencies) as the project is unlikely to be maintained regularly and reviving the code required a lot of dependency incompatibility navigation we should avoid for future users. Result: A new user can build this great research project with ~10 lines! A big win in my opinion. Some relevant pull requests and issues. Shawn-Shan#168 Shawn-Shan#158 Shawn-Shan#186 Shawn-Shan#178
PulfordJ
added a commit
to PulfordJ/fawkes
that referenced
this issue
Feb 8, 2025
…ed reading the research paper. However, numerous issues and pull requests have resulted from how difficult it is to run after initially downloading it due to poorly documented python version requirements and compatibility collapse with numerous dependencies following ~4 years of drift. Example links in the last paragraph for brevity. Action: I rewrote the setup code to depend on pyenv and poetry allowing us to explicitly require the use of python 3.9.0 rather than having users guess at how best to execute the code. I've used stricter dependency requirements (lots of ~= in pyproject.toml dependencies) as the project is unlikely to be maintained regularly and reviving the code required a lot of dependency incompatibility navigation we should avoid for future users. Result: A new user can build this great research project with ~10 lines! A big win in my opinion. Some relevant pull requests and issues. Shawn-Shan#168 Shawn-Shan#158 Shawn-Shan#186 Shawn-Shan#178
PulfordJ
added a commit
to PulfordJ/fawkes
that referenced
this issue
Feb 8, 2025
…ed reading the research paper. However, numerous issues and pull requests have resulted from how difficult it is to run after initially downloading it due to poorly documented python version requirements and compatibility collapse with numerous dependencies following ~4 years of drift. Example links in the last paragraph for brevity. Action: I rewrote the setup code to depend on pyenv and poetry allowing us to explicitly require the use of python 3.9.0 rather than having users guess at how best to execute the code. I've used stricter dependency requirements (lots of ~= in pyproject.toml dependencies) as the project is unlikely to be maintained regularly and reviving the code required a lot of dependency incompatibility navigation we should avoid for future users. Result: A new user can build this great research project with ~10 lines! A big win in my opinion. Some relevant pull requests and issues. Shawn-Shan#168 Shawn-Shan#158 Shawn-Shan#186 Shawn-Shan#178
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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.
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