• namespace: (Rindow\NeuralNetworks\Data\Image)
• classname: (NDArrayDataset)

NDArrayDataset with ImageFilter applied. A data set that randomly processes and returns image data.

The builder creates an instance, but it’s actually an instance of the NDArrayDataset class.

Methods

constructor

$builer->ImageDataGenerator(
    NDArray $inputs,
    NDArray $tests=null,
    int $batch_size=null,
    bool $shuffle=null,
    string $data_format='channels_last',
    float $height_shift=0,
    float $width_shift=0,
    bool $vertical_flip=false,
    bool $horizontal_flip=false,
)

You can create a ImageFilter instances with the Data Builder.

Arguments

• tests: Specify inputs and the corresponding tests data.
• batch_size: batch size.
• shuffle: Randomize the order of the returned values.
• data_format: Either “channels_last” or “channels_first”. Specify which of the input shapes is the channel.
• height_shift: Maximum number of pixels to randomly slide the image up and down.
• width_shift: Maximum number of pixels to randomly slide the image left and right.
• vertical_flip: Randomly flip it upside down.
• horizontal_flip: Randomly flip left and right.

Examples

use Rindow\NeuralNetworks\Builder\NeuralNetworks;
$nn = new NeuralNetworks($mo);
$dataset = $nn->data()->ImageDataGenerator(
    $inputs,
    tests:$tests,
    height_shift:2,
    width_shift:2,
    vertical_flip:true,
    horizontal_flip:true);
foreach ($dataset as $batchdataset) {
    [$train,$label] = $batchdataset;
    foreach ($train as $key => $value) {
        $inputs = $value;
        $trues  = $label[$key];
        //....... some processing
    }
}