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update mask2segments and saving results (#9785)

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* update mask2segments and saving results

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* Update general.py

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Update predict.py

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
This commit is contained in:
Vladislav Veklenkopre-commit-ci[bot]Glenn Jocher
 authored and GitHub committed 2022-10-13 01:44:01 +02:00
1 parent 7a69035eb8
commit 85ae985b6a
1 file changed
+7 -4
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utils/segment/general.py
+7 -4
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@@ -126,9 +126,12 @@ def masks2segments(masks, strategy='largest'):
segments = [] segments = []
for x in masks.int().cpu().numpy().astype('uint8'): for x in masks.int().cpu().numpy().astype('uint8'):
c = cv2.findContours(x, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)[0] c = cv2.findContours(x, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)[0]
if strategy == 'concat': # concatenate all segments if c:
c = np.concatenate([x.reshape(-1, 2) for x in c]) if strategy == 'concat': # concatenate all segments
elif strategy == 'largest': # select largest segment c = np.concatenate([x.reshape(-1, 2) for x in c])
c = np.array(c[np.array([len(x) for x in c]).argmax()]).reshape(-1, 2) elif strategy == 'largest': # select largest segment
c = np.array(c[np.array([len(x) for x in c]).argmax()]).reshape(-1, 2)
else:
c = np.zeros((0, 2)) # no segments found
segments.append(c.astype('float32')) segments.append(c.astype('float32'))
return segments return segments