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Added save image call after decoding images

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Signed-off-by: Jim Martens <github@2martens.de>
This commit is contained in:
Jim Martens
2019-07-15 11:31:05 +02:00
parent e0da7eca04
commit 779249afff
1 changed files with 9 additions and 4 deletions
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13
src/twomartens/masterthesis/ssd.py
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@ -276,9 +276,12 @@ def _predict_loop(generator: Generator, use_dropout: bool, steps_per_epoch: int,
predictions = vanilla_step(inputs) predictions = vanilla_step(inputs)
if not saved_images: if not saved_images:
save_images(inputs, predictions) save_images(inputs, predictions, custom_string="after-prediction")
saved_images = True saved_images = True
transformed_predictions = transform_func(predictions, inverse_transforms) transformed_predictions = transform_func(predictions,
inverse_transforms,
functools.partial(save_images,
inputs))
save_func(transformed_predictions, original_labels, filenames, save_func(transformed_predictions, original_labels, filenames,
batch_nr=batch_counter) batch_nr=batch_counter)
@ -311,6 +314,7 @@ def _predict_vanilla_step(inputs: np.ndarray, model: tf.keras.models.Model) -> n
def _transform_predictions(predictions: np.ndarray, inverse_transforms: Sequence[np.ndarray], def _transform_predictions(predictions: np.ndarray, inverse_transforms: Sequence[np.ndarray],
save_images: callable,
decode_func: callable, inverse_transform_func: callable, decode_func: callable, inverse_transform_func: callable,
image_size: int) -> np.ndarray: image_size: int) -> np.ndarray:
@ -320,6 +324,7 @@ def _transform_predictions(predictions: np.ndarray, inverse_transforms: Sequence
img_height=image_size, img_height=image_size,
input_coords="corners" input_coords="corners"
) )
save_images(decoded_predictions, custom_string="after-decoding")
transformed_predictions = inverse_transform_func(decoded_predictions, inverse_transforms) transformed_predictions = inverse_transform_func(decoded_predictions, inverse_transforms)
return transformed_predictions return transformed_predictions
@ -342,10 +347,10 @@ def _predict_save_images(inputs: np.ndarray, predictions: np.ndarray,
save_images: callable, save_images: callable,
get_coco_cat_maps_func: callable, get_coco_cat_maps_func: callable,
output_path: str, coco_path: str, output_path: str, coco_path: str,
image_size: int) -> None: image_size: int, custom_string: str) -> None:
save_images(inputs, predictions, save_images(inputs, predictions,
output_path, coco_path, image_size, output_path, coco_path, image_size,
get_coco_cat_maps_func, "after-prediction") get_coco_cat_maps_func, custom_string)
def _get_observations(detections: Sequence[Sequence[np.ndarray]]) -> List[List[np.ndarray]]: def _get_observations(detections: Sequence[Sequence[np.ndarray]]) -> List[List[np.ndarray]]: