v0.8.10

What's Changed

• improve mmdet config download util by @fcakyon in #278
• update version to v0.8.10 by @fcakyon in #279
• add zenodo doi and citation into readme by @fcakyon in #280
• fix broken link in readme by @fcakyon in #277
• fix mmcv installation in readme by @fcakyon in #281

Full Changelog: 0.8.9...0.8.10

v0.8.9

What's Changed

• improve result visuals/plots by @fcakyon in #271

• add get_coco_with_clipped_bboxes utility to coco class by @ssahinnkadir in #264

• fix mmdet channel order by @fcakyon in #266

• handle when mask prediction is empty by @fcakyon in #269

• handle invalid annotation polygon by @fcakyon in #268

• add missing shapely 2.0.0 support by @fcakyon in #270

• update torch, torchvision, mmdet, mmcv versions in tests by @fcakyon in #267

Full Changelog: 0.8.8...0.8.9

v0.8.8

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

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

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

• 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

• fix a bug in coco2fiftyone (#223)

v0.8.2

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

v0.8.1

make repo compatible for conda-forge:

• Include requirements.txt in sdist (#217) thanks to @weiji14

v0.8.0

new cli description:

Command	Description
predict	perform sliced/standard prediction using any yolov5/mmdet model
predict-fiftyone	perform sliced/standard prediction using any yolov5/mmdet model and explore results in fiftyone app
coco slice	automatically slice COCO annotation and image files
coco fiftyone	explore multiple prediction results on your COCO dataset ordered by false positives
coco evaluate	evaluate classwise COCO AP and AR for given predictions and ground truth
coco analyse	calcualate and export many detection and segmentation error margin plots
coco yolov5	automatically convert any COCO dataset to yolov5 format

new cli usage:

predict

sahi predict --source image/file/or/folder --model_path path/to/model --model_config_path path/to/config

predict-fiftyone

sahi predict-fiftyone --image_dir image/file/or/folder --dataset_json_path dataset.json --model_path path/to/model --model_config_path path/to/config

coco slice

sahi coco slice --image_dir dir/to/images --dataset_json_path dataset.json

coco fiftyone

sahi coco fiftyone --image_dir dir/to/images --dataset_json_path dataset.json cocoresult1.json cocoresult2.json

coco evaluate

sahi coco evaluate --dataset_json_path dataset.json --result_json_path result.json

coco analyse

sahi coco analyse --dataset_json_path dataset.json --result_json_path result.json

coco yolov5

sahi coco yolov5 --image_dir dir/to/images --dataset_json_path dataset.json  --train_split 0.9

breaking changes in predict cli:

• config_path to model_config_path
• conf_thresh to model_confidence_threshold
• match_metric to postprocess_match_metric
• match_thresh to postprocess_match_threshold
• class_agnostic to postprocess_class_agnostic
• pickle to export_pickle, crop to export_crop
• novisual to export_visual
• no_sliced_pred to no_sliced_prediction
• no_standard_pred to no_standard_prediction
• coco_file to dataset_json_path