From 3c8f593e1d23080fad7fe6c9ba1d33cd26e271d2 Mon Sep 17 00:00:00 2001 From: "fatih c. akyon" <34196005+fcakyon@users.noreply.github.com> Date: Tue, 27 Aug 2024 13:02:25 +0200 Subject: [PATCH] Update README.md (#1077) --- README.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 0238c46fd..1f7cf078b 100644 --- a/README.md +++ b/README.md @@ -34,17 +34,17 @@ Object detection and instance segmentation are by far the most important applica | Command | Description | |---|---| -| [predict](https://github.com/obss/sahi/blob/main/docs/cli.md#predict-command-usage) | perform sliced/standard video/image prediction using any [yolov5](https://github.com/ultralytics/yolov5)/[mmdet](https://github.com/open-mmlab/mmdetection)/[detectron2](https://github.com/facebookresearch/detectron2)/[huggingface](https://huggingface.co/models?pipeline_tag=object-detection&sort=downloads) model | -| [predict-fiftyone](https://github.com/obss/sahi/blob/main/docs/cli.md#predict-fiftyone-command-usage) | perform sliced/standard prediction using any [yolov5](https://github.com/ultralytics/yolov5)/[mmdet](https://github.com/open-mmlab/mmdetection)/[detectron2](https://github.com/facebookresearch/detectron2)/[huggingface](https://huggingface.co/models?pipeline_tag=object-detection&sort=downloads) model and explore results in [fiftyone app](https://github.com/voxel51/fiftyone) | +| [predict](https://github.com/obss/sahi/blob/main/docs/cli.md#predict-command-usage) | perform sliced/standard video/image prediction using any [ultralytics](https://github.com/ultralytics/ultralytics)/[mmdet](https://github.com/open-mmlab/mmdetection)/[detectron2](https://github.com/facebookresearch/detectron2)/[huggingface](https://huggingface.co/models?pipeline_tag=object-detection&sort=downloads)/[torchvision](https://pytorch.org/vision/stable/models.html#object-detection) model | +| [predict-fiftyone](https://github.com/obss/sahi/blob/main/docs/cli.md#predict-fiftyone-command-usage) | perform sliced/standard prediction using any [ultralytics](https://github.com/ultralytics/ultralytics)/[mmdet](https://github.com/open-mmlab/mmdetection)/[detectron2](https://github.com/facebookresearch/detectron2)/[huggingface](https://huggingface.co/models?pipeline_tag=object-detection&sort=downloads)/[torchvision](https://pytorch.org/vision/stable/models.html#object-detection) model and explore results in [fiftyone app](https://github.com/voxel51/fiftyone) | | [coco slice](https://github.com/obss/sahi/blob/main/docs/cli.md#coco-slice-command-usage) | automatically slice COCO annotation and image files | | [coco fiftyone](https://github.com/obss/sahi/blob/main/docs/cli.md#coco-fiftyone-command-usage) | explore multiple prediction results on your COCO dataset with [fiftyone ui](https://github.com/voxel51/fiftyone) ordered by number of misdetections | | [coco evaluate](https://github.com/obss/sahi/blob/main/docs/cli.md#coco-evaluate-command-usage) | evaluate classwise COCO AP and AR for given predictions and ground truth | | [coco analyse](https://github.com/obss/sahi/blob/main/docs/cli.md#coco-analyse-command-usage) | calculate and export many error analysis plots | -| [coco yolov5](https://github.com/obss/sahi/blob/main/docs/cli.md#coco-yolov5-command-usage) | automatically convert any COCO dataset to [yolov5](https://github.com/ultralytics/yolov5) format | +| [coco yolov5](https://github.com/obss/sahi/blob/main/docs/cli.md#coco-yolov5-command-usage) | automatically convert any COCO dataset to [ultralytics](https://github.com/ultralytics/ultralytics) format | ##
Quick Start Examples
-[📜 List of publications that cite SAHI (currently 150+)](https://scholar.google.com/scholar?hl=en&as_sdt=2005&sciodt=0,5&cites=14065474760484865747&scipsc=&q=&scisbd=1) +[📜 List of publications that cite SAHI (currently 200+)](https://scholar.google.com/scholar?hl=en&as_sdt=2005&sciodt=0,5&cites=14065474760484865747&scipsc=&q=&scisbd=1) [🏆 List of competition winners that used SAHI](https://github.com/obss/sahi/discussions/688)