Imagingatagenerator wirft einen ungültigen Argumentfehler ausPython

Python-Programme
Anonymous
 Imagingatagenerator wirft einen ungültigen Argumentfehler aus

Post by Anonymous »

Ich arbeite an einem Bildklassifizierungsproblem mit Imagedatagenerator aus der Keras -Bibliothek. So sieht mein Skript aus < /p>

Code: Select all

datagen = ImageDataGenerator(rescale=1./255, validation_split=0.2)

train_generator = datagen.flow_from_directory(
alzeihmers,
target_size=(120, 120),
batch_size=64,
class_mode='sparse',
subset='training'
)

val_generator = datagen.flow_from_directory(
alzeihmers,
target_size=(120, 120),
batch_size=64,
class_mode='sparse',
subset='validation'
)

model = tf.keras.models.Sequential([
tf.keras.layers.InputLayer(shape=(120, 120, 3)),
tf.keras.layers.Conv2D(32, (3, 3), activation='relu'),
tf.keras.layers.MaxPooling2D((2, 2)),
tf.keras.layers.Conv2D(64, (3, 3), activation='relu'),
tf.keras.layers.MaxPooling2D((2, 2)),
tf.keras.layers.Conv2D(128, (3, 3), activation='relu'),
tf.keras.layers.MaxPooling2D((2, 2)),
tf.keras.layers.Flatten(),
tf.keras.layers.Dense(128, activation='relu'),
tf.keras.layers.Dropout(0.5),
tf.keras.layers.Dense(4, activation='softmax')
])

model.compile(
optimizer = tf.keras.optimizers.Adam(learning_rate= 1e-4),
loss = tf.keras.losses.SparseCategoricalCrossentropy(),
metrics = ['accuracy', 'precision', 'recall']
)

< /code>
Ich erhalte den Fehler unten: < /p>
InvalidArgumentError                      Traceback (most recent call last)
Cell In[32], line 1
----> 1 model.fit(train_generator,
2           validation_data=val_generator,
3           epochs=10,
4           callbacks=[lr])

File c:\Users\LENOVO\AppData\Local\Programs\Python\Python312\Lib\site-packages\keras\src\utils\traceback_utils.py:122, in filter_traceback..error_handler(*args, **kwargs)
119     filtered_tb = _process_traceback_frames(e.__traceback__)
120     # To get the full stack trace, call:
121     # `keras.config.disable_traceback_filtering()`
--> 122     raise e.with_traceback(filtered_tb) from None
123 finally:
124     del filtered_tb

File c:\Users\LENOVO\AppData\Local\Programs\Python\Python312\Lib\site-packages\tensorflow\python\eager\execute.py:53, in quick_execute(op_name, num_outputs, inputs, attrs, ctx, name)
51 try:
52   ctx.ensure_initialized()
--->  53   tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,
54                                       inputs, attrs, num_outputs)
55 except core._NotOkStatusException as e:
56   if name is not None:

InvalidArgumentError:  Graph execution error:

Detected at node LogicalAnd_3 defined at (most recent call last):
File "", line 198, in _run_module_as_main

File "", line 88, in _run_code

File "C:\Users\LENOVO\AppData\Roaming\Python\Python312\site-packages\ipykernel_launcher.py", line 18, in 

File "C:\Users\LENOVO\AppData\Roaming\Python\Python312\site-packages\traitlets\config\application.py", line 1075, in launch_instance

File "C:\Users\LENOVO\AppData\Roaming\Python\Python312\site-packages\ipykernel\kernelapp.py", line 739, in start

File "C:\Users\LENOVO\AppData\Roaming\Python\Python312\site-packages\tornado\platform\asyncio.py", line 205, in start

File "c:\Users\LENOVO\AppData\Local\Programs\Python\Python312\Lib\asyncio\base_events.py", line 641, in run_forever

File "c:\Users\LENOVO\AppData\Local\Programs\Python\Python312\Lib\asyncio\base_events.py", line 1986, in _run_once

File "c:\Users\LENOVO\AppData\Local\Programs\Python\Python312\Lib\asyncio\events.py", line 88, in _run

File "C:\Users\LENOVO\AppData\Roaming\Python\Python312\site-packages\ipykernel\kernelbase.py", line 545, in dispatch_queue

File "C:\Users\LENOVO\AppData\Roaming\Python\Python312\site-packages\ipykernel\kernelbase.py", line 534, in process_one

File "C:\Users\LENOVO\AppData\Roaming\Python\Python312\site-packages\ipykernel\kernelbase.py", line 437, in dispatch_shell

File "C:\Users\LENOVO\AppData\Roaming\Python\Python312\site-packages\ipykernel\ipkernel.py", line 362, in execute_request

File "C:\Users\LENOVO\AppData\Roaming\Python\Python312\site-packages\ipykernel\kernelbase.py", line 778, in execute_request

File "C:\Users\LENOVO\AppData\Roaming\Python\Python312\site-packages\ipykernel\ipkernel.py", line 449, in do_execute

File "C:\Users\LENOVO\AppData\Roaming\Python\Python312\site-packages\ipykernel\zmqshell.py", line 549, in run_cell

File "C:\Users\LENOVO\AppData\Roaming\Python\Python312\site-packages\IPython\core\interactiveshell.py", line 3075, in run_cell

File "C:\Users\LENOVO\AppData\Roaming\Python\Python312\site-packages\IPython\core\interactiveshell.py", line 3130, in _run_cell

File "C:\Users\LENOVO\AppData\Roaming\Python\Python312\site-packages\IPython\core\async_helpers.py", line 128, in _pseudo_sync_runner

File "C:\Users\LENOVO\AppData\Roaming\Python\Python312\site-packages\IPython\core\interactiveshell.py", line 3334, in run_cell_async

File "C:\Users\LENOVO\AppData\Roaming\Python\Python312\site-packages\IPython\core\interactiveshell.py", line 3517, in run_ast_nodes

File "C:\Users\LENOVO\AppData\Roaming\Python\Python312\site-packages\IPython\core\interactiveshell.py", line 3577, in run_code

File "C:\Users\LENOVO\AppData\Local\Temp\ipykernel_29788\1250957458.py", line 1, in 

File "c:\Users\LENOVO\AppData\Local\Programs\Python\Python312\Lib\site-packages\keras\src\utils\traceback_utils.py", line 117, in error_handler

File "c:\Users\LENOVO\AppData\Local\Programs\Python\Python312\Lib\site-packages\keras\src\backend\tensorflow\trainer.py", line 328, in fit

File "c:\Users\LENOVO\AppData\Local\Programs\Python\Python312\Lib\site-packages\keras\src\backend\tensorflow\trainer.py", line 175, in function

File "c:\Users\LENOVO\AppData\Local\Programs\Python\Python312\Lib\site-packages\keras\src\backend\tensorflow\trainer.py", line 125, in multi_step_on_iterator

File "c:\Users\LENOVO\AppData\Local\Programs\Python\Python312\Lib\site-packages\keras\src\backend\tensorflow\trainer.py", line 106, in one_step_on_data

File "c:\Users\LENOVO\AppData\Local\Programs\Python\Python312\Lib\site-packages\keras\src\backend\tensorflow\trainer.py", line 77, in train_step

File "c:\Users\LENOVO\AppData\Local\Programs\Python\Python312\Lib\site-packages\keras\src\trainers\trainer.py", line 492, in compute_metrics

File "c:\Users\LENOVO\AppData\Local\Programs\Python\Python312\Lib\site-packages\keras\src\trainers\compile_utils.py", line 333, in update_state

File "c:\Users\LENOVO\AppData\Local\Programs\Python\Python312\Lib\site-packages\keras\src\trainers\compile_utils.py", line 20,  in update_state

File "c:\Users\LENOVO\AppData\Local\Programs\Python\Python312\Lib\site-packages\keras\src\metrics\confusion_metrics.py", line 522, in update_state

File "c:\Users\LENOVO\AppData\Local\Programs\Python\Python312\Lib\site-packages\keras\src\metrics\metrics_utils.py", line 592, in update_confusion_matrix_variables

File "c:\Users\LENOVO\AppData\Local\Programs\Python\Python312\Lib\site-packages\keras\src\metrics\metrics_utils.py", line 565, in weighted_assign_add

File "c:\Users\LENOVO\AppData\Local\Programs\Python\Python312\Lib\site-packages\keras\src\ops\numpy.py", line 3535, in logical_and

File "c:\Users\LENOVO\AppData\Local\Programs\Python\Python312\Lib\site-packages\keras\src\backend\tensorflow\numpy.py", line 1506, in logical_and

Incompatible shapes: [1,256] vs. [1,64]
[[{{node LogicalAnd_3}}]] [Op:__inference_multi_step_on_iterator_119488]
Der Fehler tritt nur auf, wenn class_mode = 'sparse' im Imagedatagenerator mit kategorischer .

Code: Select all

...
val_generator = datagen.flow_from_directory(
alzeihmers,
target_size=(120, 120),
batch_size=64,
class_mode='sparse',  => Not work
#class_mode='categorical',  => Work!
subset='validation'
)
...
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