I defined a custom load_func that resize after imread and used it in
ImageCollection class, do I need to change to greyscale?
> On Feb 10, 2016, at 10:27 AM, Andreas Mueller <t3k...@gmail.com> wrote:
>
> Your image have different sizes. For RandomizedPCA to work, they all need to
> have the same size.
>
>> On 02/10/2016 12:00 AM, Zeyad Abdelmottaleb wrote:
>> Stefan,
>>
>> I’ve tried this method and I’m getting this error while implementing
>> RandomizedPCA;
>>
>> setting an array element with a sequence.
>>
>> help?
>>
>> Regards,
>> Zeyad
>>
>>
>>> On Jan 24, 2016, at 11:09 PM, Stéfan van der Walt <stef...@berkeley.edu>
>>> wrote:
>>>
>>> On Sun, Jan 24, 2016 at 5:59 AM, Abder-Rahman Ali
>>> <abder.rahman....@gmail.com> wrote:
>>>>
>>>> I have two subdirectories: category-1 and category-2, each of which
>>>> contains
>>>> image files (.jpg) that belong to each category.
>>>>
>>>> How can I use those images and two categories with the train_test_split()
>>>> function in Scikit-Learn? In other words, to arrange the training and
>>>> testing data?
>>>
>>> How about something like:
>>>
>>> ```
>>> from skimage.io import ImageCollection
>>> from sklearn.cross_validation import train_test_split
>>> import os.path
>>>
>>> ic = ImageCollection('/path/to/category-1:/path/to/category-2')
>>> labels = [os.path.dirname(f) for f in ic.files]
>>>
>>> train_images, test_images, train_labels, test_labels =
>>> train_test_split(ic, labels)
>>> ```
>>>
>>> Stéfan
>>>
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>>
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