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apply crop and flip transformations to bboxes and labels #10

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apply crop and flip transformations to bboxes and labels #10

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26 changes: 17 additions & 9 deletions hackathon/augmentations.py
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Original file line number Diff line number Diff line change
Expand Up @@ -11,7 +11,7 @@ def to_4d(image: tf.Tensor) -> tf.Tensor:
2D image => [1, H, W, 1]

Args:
image: The 2/3/4D input tensor.
image: The 2/3/4D input tensor.update-global-crops-bboxes

Returns:
A 4D image tensor.
Expand Down Expand Up @@ -467,14 +467,22 @@ def create_global_crops(
seeds = tf.random.split(seed_crops[i], 5)

if bboxes is not None:
# Example:
# crop, crop_bboxes, crop_validbboxes = random_resized_crop(
# image, size=size, scale=scale, bboxes=bboxes, seed=seeds[0]
# )
# crop, crop_bboxes = random_horizontal_flip(
# crop, bboxes=crop_bboxes, seed=seeds[1]
# )
raise NotImplementedError
crop, crop_bboxes, valid_indices = random_resized_crop(
image,
size=size,
scale=scale,
bboxes=bboxes,
seed=seeds[0],
)
crop, crop_bboxes = random_horizontal_flip(
crop, seed=seeds[1], bboxes=crop_bboxes
)
crop_labels = tf.gather(labels, valid_indices[:, 0])

crops_heatmaps.append({
"bboxes": crop_bboxes,
"labels": crop_labels
})
else:
crop = random_resized_crop(image, size=size, scale=scale, seed=seeds[0])
crop = random_horizontal_flip(crop, seed=seeds[1])
Expand Down
1 change: 0 additions & 1 deletion hackathon/tasks.py
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Original file line number Diff line number Diff line change
Expand Up @@ -12,7 +12,6 @@
"voc/2012": "object_detection",
}


def get_processing_functions(
dataset: KnownDataset,
preproc_kwargs: dict,
Expand Down