Resizing image before switching channels

[Ignisor]

A simple fix for ImageBaseFeature _read_image_and_resize method.

Info of the initial problem:

Traceback:

Traceback (most recent call last):
  File "<input>", line 4, in <module>
  File "/home/ignisor/dev/ludwig-human-classifier/.env/lib/python3.7/site-packages/ludwig-0.1.1-py3.7.egg/ludwig/api.py", line 946, in predict
    logging_level=logging_level,
  File "/home/ignisor/dev/ludwig-human-classifier/.env/lib/python3.7/site-packages/ludwig-0.1.1-py3.7.egg/ludwig/api.py", line 809, in _predict
    self.model_definition['preprocessing']
  File "/home/ignisor/dev/ludwig-human-classifier/.env/lib/python3.7/site-packages/ludwig-0.1.1-py3.7.egg/ludwig/data/preprocessing.py", line 164, in build_data
    preprocessing_parameters
  File "/home/ignisor/dev/ludwig-human-classifier/.env/lib/python3.7/site-packages/ludwig-0.1.1-py3.7.egg/ludwig/features/image_feature.py", line 213, in add_feature_data
    user_specified_num_channels
  File "/home/ignisor/dev/ludwig-human-classifier/.env/lib/python3.7/site-packages/ludwig-0.1.1-py3.7.egg/ludwig/features/image_feature.py", line 91, in _read_image_and_resize
    img_padded[:,:,:min_num_channels] = img[:,:,:min_num_channels]
ValueError: could not broadcast input array from shape (300,451,3) into shape (400,300,3)

Model defenition:

MODEL_DEFENITION = {
    'input_features': [
        {
            "name": "image_path",
            "type": "image",
            "encoder": "stacked_cnn",
            'preprocessing': {
                'resize_method': 'interpolate', 
                'height': 400, 
                'width': 300,
            },
        },
    ],
    "output_features": [
        {
            "name": "class",
            "type": "category",
        },
    ],
}

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[w4nderlust]

Good catch, thank you!