Epoch 00001: loss improved from inf to 31.71337, saving model to C:/Users/Alberto Ursino/Desktop/IntellIj Local Files/DeepPoseKit/alberto/deepposekit-data/datasets/dog/log_densenet.h5
C:\Users\Alberto Ursino\Desktop\IntellIj Local Files\DeepPoseKit\deepposekit\models\engine.py:196: UserWarning: `n_validation` is 0, so the training set will be used for model evaluation
"`n_validation` is 0, so the training set will be used for model evaluation"
Traceback (most recent call last):
File "C:/Users/Alberto Ursino/Desktop/IntellIj Local Files/DeepPoseKit/alberto/annotation/train.py", line 180, in <module>
steps_per_epoch=1,
File "C:\Users\Alberto Ursino\Desktop\IntellIj Local Files\DeepPoseKit\deepposekit\models\engine.py", line 174, in fit
**kwargs
File "C:\Users\Alberto Ursino\anaconda3\envs\TensorFlow 1x\lib\site-packages\tensorflow\python\keras\engine\training.py", line 1433, in fit_generator
steps_name='steps_per_epoch')
File "C:\Users\Alberto Ursino\anaconda3\envs\TensorFlow 1x\lib\site-packages\tensorflow\python\keras\engine\training_generator.py", line 331, in model_iteration
callbacks.on_epoch_end(epoch, epoch_logs)
File "C:\Users\Alberto Ursino\anaconda3\envs\TensorFlow 1x\lib\site-packages\tensorflow\python\keras\callbacks.py", line 311, in on_epoch_end
callback.on_epoch_end(epoch, logs)
File "C:\Users\Alberto Ursino\Desktop\IntellIj Local Files\DeepPoseKit\deepposekit\callbacks.py", line 126, in on_epoch_end
data = h5file["logs"][key]
File "h5py\_objects.pyx", line 54, in h5py._objects.with_phil.wrapper
File "h5py\_objects.pyx", line 55, in h5py._objects.with_phil.wrapper
File "C:\Users\Alberto Ursino\anaconda3\envs\TensorFlow 1x\lib\site-packages\h5py\_hl\group.py", line 264, in __getitem__
oid = h5o.open(self.id, self._e(name), lapl=self._lapl)
File "h5py\_objects.pyx", line 54, in h5py._objects.with_phil.wrapper
File "h5py\_objects.pyx", line 55, in h5py._objects.with_phil.wrapper
File "h5py\h5o.pyx", line 190, in h5py.h5o.open
KeyError: "Unable to open object (object 'logs' doesn't exist)"
These are the parameters I have set:
model.fit(
batch_size=16,
validation_batch_size=10,
callbacks=callbacks,
#epochs=1000, # Increase the number of epochs to train the model longer
epochs=200,
n_workers=8,
steps_per_epoch=1,
)
Can someone help me with this error?
These are the parameters I have set: