how to manipulate array in array

Question

I have got a X_train np.array with shape of (1433, 1). The first dimension (1433) is the number of images for training. The second dimension (1) is an np.array which itself has a shape (224, 224, 3). I could confirm it by X_train[0][0].shape. I need to fit X_train to the model:

model.fit([X_train, y_train[:,1:]], y_train[:,0], epochs=50, batch_size=32,  verbose=1)

Error output is self-explanatory:

    Traceback (most recent call last):
  File "/home/combined/file_01.py", line 97, in <module>
    img_output = Flatten()(x_1)
  File "/usr/local/lib/python3.5/dist-packages/keras/engine/base_layer.py", line 414, in __call__
    self.assert_input_compatibility(inputs)
  File "/usr/local/lib/python3.5/dist-packages/keras/engine/base_layer.py", line 327, in assert_input_compatibility
    str(K.ndim(x)))
ValueError: Input 0 is incompatible with layer flatten_1: expected min_ndim=3, found ndim=2

y_train[:,1:] seems to be OK with a shape (1433, 9).

What do I need to do with X_train in model.fit to successfully be able to input as (1433, 224, 224, 3)?

Can you show how you create the model? Or model summary

Sreeram TP
– Sreeram TP

2020-02-24 03:01:23 +00:00
Commented Feb 24, 2020 at 3:01 — Sreeram TP
– Sreeram TP, Commented Feb 24, 2020 at 3:01
@Sreeram TP I was able to resolve the issue, thanks

bit_scientist
– bit_scientist

2020-02-24 04:14:51 +00:00
Commented Feb 24, 2020 at 4:14 — bit_scientist
– bit_scientist, Commented Feb 24, 2020 at 4:14

tenhjo · Accepted Answer · 2020-02-21 12:35:37Z

1

It seems that you have a case like this:

import numpy as np
x_train = np.zeros((1433, 1), dtype=object)
for i in range(x_train.shape[0]):
    x_train[i, 0] = np.random.random((224, 224, 3))

x_train.shape        # (1433, 1)
x_train[0, 0].shape  # (224, 224, 3)

Where x_train is an object array (like a nested list) not an numeric array.

You need to change x_train to a pure numeric array:

x_train = np.array([x for x in x_train.flatten()], dtype=float)
x_train.shape       # (1433, 224, 224, 3)
x_train[0].shape    # (224, 224, 3)

edited Feb 21, 2020 at 12:35

answered Feb 21, 2020 at 9:57

tenhjo

4,5911 gold badge17 silver badges48 bronze badges

Sign up to request clarification or add additional context in comments.

2 Comments

bit_scientist Over a year ago

thanks for the help, it did help to match the dimensions but the same error continues to happen.

bit_scientist Over a year ago

hi again, I resolved the issue after some look ups, it was due to my mistake (flattening the already flattened output) and guess your answer played a significant role. I'll accept your answer.

Collectives™ on Stack Overflow

how to manipulate array in array

1 Answer 1

2 Comments

Your Answer

Linked

Hot Network Questions

Collectives™ on Stack Overflow

1 Answer 1

2 Comments

Your Answer

Sign up or log in

Post as a guest

Linked

Related