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Hello Moses,
I was following along on your posting https://towardsdatascience.com/train-image-recognition-ai-with-5-lines-of-code-8ed0bdd8d9ba and want to say great example code. I was able to get everything downloaded and start the training process but I don't have an nvidia card so it was going to take 4 days to create the model. So instead I downloaded the prebuilt model from the provided link and when I attempted to identify an image I get the following error:
Traceback (most recent call last):
File "C:\Users\lehrian\Documents\GitHub\ImageAI\imageai\Classification\Custom\__init__.py", line 520, in loadModel
model.load_weights(self.modelPath)
File "C:\Users\lehrian\Envs\idenprof\lib\site-packages\tensorflow\python\keras\engine\training.py", line 2234, in load_weights
hdf5_format.load_weights_from_hdf5_group(f, self.layers)
File "C:\Users\lehrian\Envs\idenprof\lib\site-packages\tensorflow\python\keras\saving\hdf5_format.py", line 710, in load_weights_from_hdf5_group
K.batch_set_value(weight_value_tuples)
File "C:\Users\lehrian\Envs\idenprof\lib\site-packages\tensorflow\python\util\dispatch.py", line 201, in wrapper
return target(*args, **kwargs)
File "C:\Users\lehrian\Envs\idenprof\lib\site-packages\tensorflow\python\keras\backend.py", line 3706, in batch_set_value
x.assign(np.asarray(value, dtype=dtype(x)))
File "C:\Users\lehrian\Envs\idenprof\lib\site-packages\tensorflow\python\ops\resource_variable_ops.py", line 891, in assign
(tensor_name, self._shape, value_tensor.shape))
ValueError: Cannot assign to variable conv3_block1_0_conv/kernel:0 due to variable shape (1, 1, 256, 512) and value shape (512, 128, 1, 1) are incompatible
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:\Users\lehrian\Documents\GitHub\ImageAI\imagprof\FirstCustomImageRecognition.py", line 13, in <module>
prediction.loadModel(num_objects=10)
File "C:\Users\lehrian\Documents\GitHub\ImageAI\imageai\Classification\Custom\__init__.py", line 524, in loadModel
raise ValueError("An error occured. Ensure your model file is a ResNet50 Model and is located in the path {}".format(self.modelPath))
ValueError: An error occured. Ensure your model file is a ResNet50 Model and is located in the path idenprof_061-0.7933.h5
In doing a search it seems this is due to a change in Tensorflow so I'm not sure if the model needs to be rebuilt or this can be fixed in code. I'm digging into the code now to see if I can make it work but wanted to let you know.
The text was updated successfully, but these errors were encountered:
Hello Moses,
I was following along on your posting https://towardsdatascience.com/train-image-recognition-ai-with-5-lines-of-code-8ed0bdd8d9ba and want to say great example code. I was able to get everything downloaded and start the training process but I don't have an nvidia card so it was going to take 4 days to create the model. So instead I downloaded the prebuilt model from the provided link and when I attempted to identify an image I get the following error:
In doing a search it seems this is due to a change in Tensorflow so I'm not sure if the model needs to be rebuilt or this can be fixed in code. I'm digging into the code now to see if I can make it work but wanted to let you know.
The text was updated successfully, but these errors were encountered: