The dogs-vs-cats from datitran

dogs-vs-cats's Introduction

Hi there 👋

I'm Dat. I work in the intersection between humans and machines.

👨‍💻 I've been doing open-source for ages. Here are some of my projects that I contributed to:
- imagededup - 😎 Finding duplicate images made easy!
- image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
- jupyter2slides - Cloud Native Presentation Slides with Jupyter Notebook + Reveal.js
📫 Feel free to reach me at [email protected] for work-related inquiries

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dogs-vs-cats's Issues

Runtime errors on the first run

I'm trying to do this for quite some time now, but couldn't get this to work.

File "/usr/local/lib/python3.4/dist-packages/theano/tensor/basic.py", line 212, in as_tensor_variable
    raise AsTensorError("Cannot convert %s to TensorType" % str_x, type(x))
theano.tensor.var.AsTensorError: ('Cannot convert Tensor("pool1/3x3_s2/MaxPool:0", shape=(?, 1, 56, 63), dtype=float32) to TensorType', <class 'tensorflow.python.framework.ops.Tensor'>)

I haven't used tensorflow for so long. Is this issue related to version changes on tensorflow?
Here is the detailed output.

$ python3 dogs_vs_cats_training.py
Using TensorFlow backend.
2017-04-16 16:18:15,717 - __main__ - INFO - Create train and test dataset.
2017-04-16 16:18:16,545 - __main__ - INFO - Shape for X_train: (165, 3, 224, 224) Shape for y_train: (165,)
2017-04-16 16:18:16,545 - __main__ - INFO - Create the model.
/home/teekaram/Desktop/BEATS/tmp/Dogs-vs-Cats/models/google_net.py:15: UserWarning: Update your `Conv2D` call to the Keras 2 API: `Conv2D(64, (7, 7), kernel_regularizer=<keras.reg..., padding="same", activation="relu", strides=(2, 2), name="conv1/7x7_s2")`
  W_regularizer=l2(0.0002))(input)
/home/teekaram/Desktop/BEATS/tmp/Dogs-vs-Cats/models/google_net.py:21: UserWarning: Update your `MaxPooling2D` call to the Keras 2 API: `MaxPooling2D(pool_size=(3, 3), strides=(2, 2), padding="valid", name="pool1/3x3_s2")`
  pool1_3x3_s2 = MaxPooling2D(pool_size=(3, 3), strides=(2, 2), border_mode='valid', name='pool1/3x3_s2')(
Traceback (most recent call last):
  File "/usr/local/lib/python3.4/dist-packages/theano/tensor/type.py", line 270, in dtype_specs
    }[self.dtype]
KeyError: 'object'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/usr/local/lib/python3.4/dist-packages/theano/tensor/basic.py", line 250, in constant_or_value
    TensorType(dtype=x_.dtype, broadcastable=bcastable),
  File "/usr/local/lib/python3.4/dist-packages/theano/tensor/type.py", line 51, in __init__
    self.dtype_specs()  # error checking is done there
  File "/usr/local/lib/python3.4/dist-packages/theano/tensor/type.py", line 273, in dtype_specs
    % (self.__class__.__name__, self.dtype))
TypeError: Unsupported dtype for TensorType: object

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/usr/local/lib/python3.4/dist-packages/theano/tensor/basic.py", line 206, in as_tensor_variable
    return constant(x, name=name, ndim=ndim)
  File "/usr/local/lib/python3.4/dist-packages/theano/tensor/basic.py", line 264, in constant
    dtype=dtype)
  File "/usr/local/lib/python3.4/dist-packages/theano/tensor/basic.py", line 259, in constant_or_value
    raise TypeError("Could not convert %s to TensorType" % x, type(x))
TypeError: ('Could not convert Tensor("pool1/3x3_s2/MaxPool:0", shape=(?, 1, 56, 63), dtype=float32) to TensorType', <class 'tensorflow.python.framework.ops.Tensor'>)

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "dogs_vs_cats_training.py", line 88, in <module>
    model = modified_googlenet(WIDTH, HEIGHT)
  File "/home/teekaram/Desktop/BEATS/tmp/Dogs-vs-Cats/models/google_net.py", line 24, in modified_googlenet
    pool1_norm1 = LRN(name='pool1/norm1')(pool1_3x3_s2)
  File "/usr/local/lib/python3.4/dist-packages/keras/engine/topology.py", line 578, in __call__
    output = self.call(inputs, **kwargs)
  File "/home/teekaram/Desktop/BEATS/tmp/Dogs-vs-Cats/googlenet_custom_layers.py", line 16, in call
    input_sqr = T.sqr(x)  # square the input
  File "/usr/local/lib/python3.4/dist-packages/theano/gof/op.py", line 615, in __call__
    node = self.make_node(*inputs, **kwargs)
  File "/usr/local/lib/python3.4/dist-packages/theano/tensor/elemwise.py", line 576, in make_node
    inputs = list(map(as_tensor_variable, inputs))
  File "/usr/local/lib/python3.4/dist-packages/theano/tensor/basic.py", line 212, in as_tensor_variable
    raise AsTensorError("Cannot convert %s to TensorType" % str_x, type(x))
theano.tensor.var.AsTensorError: ('Cannot convert Tensor("pool1/3x3_s2/MaxPool:0", shape=(?, 1, 56, 63), dtype=float32) to TensorType', <class 'tensorflow.python.framework.ops.Tensor'>)