|
|
|
from __future__ import absolute_import, division, print_function, unicode_literals |
|
import unittest |
|
import torch |
|
|
|
from detectron2.layers import batched_nms |
|
from detectron2.utils.testing import random_boxes |
|
|
|
|
|
class TestNMS(unittest.TestCase): |
|
def _create_tensors(self, N): |
|
boxes = random_boxes(N, 200) |
|
scores = torch.rand(N) |
|
return boxes, scores |
|
|
|
def test_nms_scriptability(self): |
|
N = 2000 |
|
num_classes = 50 |
|
boxes, scores = self._create_tensors(N) |
|
idxs = torch.randint(0, num_classes, (N,)) |
|
scripted_batched_nms = torch.jit.script(batched_nms) |
|
err_msg = "NMS is incompatible with jit-scripted NMS for IoU={}" |
|
|
|
for iou in [0.2, 0.5, 0.8]: |
|
keep_ref = batched_nms(boxes, scores, idxs, iou) |
|
backup = boxes.clone() |
|
scripted_keep = scripted_batched_nms(boxes, scores, idxs, iou) |
|
assert torch.allclose(boxes, backup), "boxes modified by jit-scripted batched_nms" |
|
self.assertTrue(torch.equal(keep_ref, scripted_keep), err_msg.format(iou)) |
|
|
|
|
|
if __name__ == "__main__": |
|
unittest.main() |
|
|