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cleanup legacy transforms tests #8013

Merged
merged 6 commits into from
Oct 5, 2023
Merged

cleanup legacy transforms tests #8013

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df85e12
cleanup legacy transforms tests
pmeier Oct 2, 2023
4f624d6
Merge branch 'main' into port/cleanup
pmeier Oct 3, 2023
89ab651
port remaining tests
pmeier Oct 3, 2023
8d04cb2
reinstate legacy utils
pmeier Oct 3, 2023
879cb39
Merge branch 'main' into port/cleanup
pmeier Oct 5, 2023
c7f6efb
adjust parameters
pmeier Oct 5, 2023
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9 changes: 4 additions & 5 deletions test/common_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -406,6 +406,7 @@ def make_bounding_boxes(
canvas_size=DEFAULT_SIZE,
*,
format=tv_tensors.BoundingBoxFormat.XYXY,
num_boxes=1,
dtype=None,
device="cpu",
):
Expand All @@ -419,8 +420,7 @@ def sample_position(values, max_value):

dtype = dtype or torch.float32

num_objects = 1
h, w = [torch.randint(1, s, (num_objects,)) for s in canvas_size]
h, w = [torch.randint(1, s, (num_boxes,)) for s in canvas_size]
y = sample_position(h, canvas_size[0])
x = sample_position(w, canvas_size[1])

Expand All @@ -443,12 +443,11 @@ def sample_position(values, max_value):
)


def make_detection_mask(size=DEFAULT_SIZE, *, dtype=None, device="cpu"):
def make_detection_masks(size=DEFAULT_SIZE, *, num_masks=1, dtype=None, device="cpu"):
"""Make a "detection" mask, i.e. (*, N, H, W), where each object is encoded as one of N boolean masks"""
num_objects = 1
return tv_tensors.Mask(
torch.testing.make_tensor(
(num_objects, *size),
(num_masks, *size),
low=0,
high=2,
dtype=dtype or torch.bool,
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