From b81eb8561669b18bc4d8c317fa829d96b56c65e1 Mon Sep 17 00:00:00 2001 From: Onuralp SEZER Date: Wed, 31 Jan 2024 15:19:51 +0300 Subject: [PATCH] =?UTF-8?q?docs(fix):=20=F0=9F=90=9E=F0=9F=93=9D=20add=20m?= =?UTF-8?q?issing=20h1=20for=20how=20tos?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Signed-off-by: Onuralp SEZER --- docs/how_to/detect_and_annotate.md | 2 ++ docs/how_to/filter_detections.md | 3 ++- docs/how_to/track_objects.md | 2 ++ 3 files changed, 6 insertions(+), 1 deletion(-) diff --git a/docs/how_to/detect_and_annotate.md b/docs/how_to/detect_and_annotate.md index 2537f47c..3255a2ed 100644 --- a/docs/how_to/detect_and_annotate.md +++ b/docs/how_to/detect_and_annotate.md @@ -2,6 +2,8 @@ comments: true --- +# Detect and Annotate + Supervision offers a streamlined solution to effortlessly annotate predictions from a range of object detection and segmentation models. This guide demonstrates how to execute inference using the YOLOv8 model with either the diff --git a/docs/how_to/filter_detections.md b/docs/how_to/filter_detections.md index 63be7d10..64e26618 100644 --- a/docs/how_to/filter_detections.md +++ b/docs/how_to/filter_detections.md @@ -2,6 +2,8 @@ comments: true --- +# Filter Detections + The advanced filtering capabilities of the `Detections` class offer users a versatile and efficient way to narrow down and refine object detections. This section outlines various filtering methods, including filtering by specific class or a set of classes, confidence, object area, bounding box area, relative area, box dimensions, and designated zones. @@ -42,7 +44,6 @@ Allows you to select detections that belong only to one selected class. - ### by set of classes Allows you to select detections that belong only to selected set of classes. diff --git a/docs/how_to/track_objects.md b/docs/how_to/track_objects.md index 80d14e37..cd630af4 100644 --- a/docs/how_to/track_objects.md +++ b/docs/how_to/track_objects.md @@ -2,6 +2,8 @@ comments: true --- +# Track Objects + Leverage Supervision's advanced capabilities for enhancing your video analysis by seamlessly [tracking](https://supervision.roboflow.com/trackers/) objects recognized by a multitude of object detection and segmentation models. This comprehensive guide will