Sahi

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)

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)

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)

- handle predictions with negative bbox values (225)
- fix remove_invalid_coco_results (227)
- fix coco evaluation (228)

**Remove invalid coco results:**
python
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")

- fix a bug in coco2fiftyone (223)

- fix optional dependencies (221)
- move conda builds to conda-forge (219)