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Releases: obss/sahi

v0.8.13

06 Dec 17:08
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Full Changelog: 0.8.12...0.8.13

v0.8.12

30 Nov 17:12
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Check YOLOX + SAHI demo: HuggingFace Spaces

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Full Changelog: 0.8.11...0.8.12

v0.8.11

24 Nov 22:54
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v0.8.10

23 Nov 08:51
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v0.8.9

15 Nov 09:39
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v0.8.8

02 Nov 11:01
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enhancement

  • add coco to yolov5 export utilty (#258)
  • shapely 2.0.0 support, supported fiftyone versions (#257)
  • update shapely to v1.8.0 (#259)

bugfixes

  • fix a bug in coco upsampling/downsampling (#253)
  • fix a bug in export_coco_as_yolov5 (#262)

ci

  • update yolov5 version in tests (#256)

v0.8.6

19 Oct 17:36
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improvements

  • update postprocess behaviour (#247)

testing

  • update torch to 1.9.1 for workflows (#248)
  • update mmdet version to 2.17.0 for testing (#250)
  • add yolov5n weight download util (#251)
  • improve test durations (#252)

v0.8.5

19 Oct 07:25
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bugfixes, enhancements

  • handle when image name is very short in yolov5 conversion (#230)
  • fix coco category creation without supercategory (#237)
  • fix yolov5 conf threshold (#242)
  • fix mmdet img size (#243)
  • handle when mmdet config contains resize with keep_ratio=False (#244)
  • update yolov5 version to 6.0.1 in ci tests (#245)

v0.8.4

13 Sep 10:19
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  • handle predictions with negative bbox values (#225)
  • fix remove_invalid_coco_results (#227)
  • fix coco evaluation (#228)

Remove invalid coco results:

from sahi.utils.file import save_json
from sahi.utils.coco import remove_invalid_coco_results

# remove invalid predictions from COCO results JSON
coco_results = remove_invalid_coco_results("coco_result.json")

# export processed COCO results
save_json(coco_results, "fixed_coco_result.json")

# bonus: remove invalid predictions from COCO results JSON by giving COCO
# dataset path to also filter out bbox results exceeding image height&width
coco_results = remove_invalid_coco_results("coco_result.json", "coco_dataset.json")

v0.8.3

10 Sep 08:01
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  • fix a bug in coco2fiftyone (#223)