Added save image call after decoding images
Signed-off-by: Jim Martens <github@2martens.de>
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@ -276,9 +276,12 @@ def _predict_loop(generator: Generator, use_dropout: bool, steps_per_epoch: int,
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predictions = vanilla_step(inputs)
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if not saved_images:
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save_images(inputs, predictions)
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save_images(inputs, predictions, custom_string="after-prediction")
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saved_images = True
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transformed_predictions = transform_func(predictions, inverse_transforms)
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transformed_predictions = transform_func(predictions,
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inverse_transforms,
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functools.partial(save_images,
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inputs))
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save_func(transformed_predictions, original_labels, filenames,
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batch_nr=batch_counter)
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@ -311,6 +314,7 @@ def _predict_vanilla_step(inputs: np.ndarray, model: tf.keras.models.Model) -> n
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def _transform_predictions(predictions: np.ndarray, inverse_transforms: Sequence[np.ndarray],
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save_images: callable,
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decode_func: callable, inverse_transform_func: callable,
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image_size: int) -> np.ndarray:
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@ -320,6 +324,7 @@ def _transform_predictions(predictions: np.ndarray, inverse_transforms: Sequence
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img_height=image_size,
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input_coords="corners"
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)
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save_images(decoded_predictions, custom_string="after-decoding")
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transformed_predictions = inverse_transform_func(decoded_predictions, inverse_transforms)
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return transformed_predictions
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@ -342,10 +347,10 @@ def _predict_save_images(inputs: np.ndarray, predictions: np.ndarray,
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save_images: callable,
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get_coco_cat_maps_func: callable,
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output_path: str, coco_path: str,
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image_size: int) -> None:
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image_size: int, custom_string: str) -> None:
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save_images(inputs, predictions,
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output_path, coco_path, image_size,
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get_coco_cat_maps_func, "after-prediction")
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get_coco_cat_maps_func, custom_string)
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def _get_observations(detections: Sequence[Sequence[np.ndarray]]) -> List[List[np.ndarray]]:
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