fixed typo in documentation: 'BNP' -> 'BMP'
@@ -78,7 +78,7 @@ Generate batches of tensor image data with real-time data augmentation. The data
- __flow_from_directory(directory)__: Takes the path to a directory, and generates batches of augmented/normalized data. Yields batches indefinitely, in an infinite loop.
- __Arguments__:
- __directory__: path to the target directory. It should contain one subdirectory per class.
- Any PNG, JPG or BNP images inside each of the subdirectories directory tree will be included in the generator.
+ Any PNG, JPG or BMP images inside each of the subdirectories directory tree will be included in the generator.
See [this script](https://gist.github.com/fchollet/0830affa1f7f19fd47b06d4cf89ed44d) for more details.
- __target_size__: tuple of integers, default: `(256, 256)`. The dimensions to which all images found will be resized.
- __color_mode__: one of "grayscale", "rbg". Default: "rgb". Whether the images will be converted to have 1 or 3 color channels.
