Method get_batch

samples/python/efficientdet/image_batcher.py:154–170

Retrieve the batches. This is a generator object, so you can use it within a loop as: for batch, images in batcher.get_batch(): ... Or outside of a batch with the next() function. :return: A generator yielding three items per iteration: a numpy array holdi

(self)

        return image, scale

    def get_batch(self):
        """
        Retrieve the batches. This is a generator object, so you can use it within a loop as:
        for batch, images in batcher.get_batch():
           ...
        Or outside of a batch with the next() function.
        :return: A generator yielding three items per iteration: a numpy array holding a batch of images, the list of
        paths to the images loaded within this batch, and the list of resize scales for each image in the batch.
        """
        for i, batch_images in enumerate(self.batches):
            batch_data = np.zeros(self.shape, dtype=self.dtype)
            batch_scales = [None] * len(batch_images)
            for i, image in enumerate(batch_images):
                self.image_index += 1
                batch_data[i], batch_scales[i] = self.preprocess_image(image)
            self.batch_index += 1
            yield batch_data, batch_images, batch_scales