diff --git a/.github/workflows/publish.yml b/.github/workflows/publish.yml index ca2980f4a9..e87a3da4eb 100644 --- a/.github/workflows/publish.yml +++ b/.github/workflows/publish.yml @@ -33,6 +33,7 @@ jobs: - name: Install dependencies run: | python -m pip install --upgrade pip wheel build twine + pip install "git+https://github.com/squidfunk/mkdocs-material@master" pip install -e ".[dev]" --extra-index-url https://download.pytorch.org/whl/cpu - name: Check PyPI version shell: python diff --git a/docs/en/guides/distance-calculation.md b/docs/en/guides/distance-calculation.md index 72e22b8c0a..cb42b725ef 100644 --- a/docs/en/guides/distance-calculation.md +++ b/docs/en/guides/distance-calculation.md @@ -14,7 +14,7 @@ Measuring the gap between two objects is known as distance calculation within a | Distance Calculation using Ultralytics YOLOv8 | |:-----------------------------------------------------------------------------------------------------------------------------------------------:| -| ![Ultralytics YOLOv8 Distance Calculation](https://github.com/RizwanMunawar/RizwanMunawar/assets/62513924/940fe793-f34c-44e6-8cd7-c2153fde837b) | +| ![Ultralytics YOLOv8 Distance Calculation](https://github.com/RizwanMunawar/RizwanMunawar/assets/62513924/96ae9a71-3170-42d8-887c-d903cba74956) | ## Advantages of Distance Calculation? diff --git a/docs/en/guides/yolo-performance-metrics.md b/docs/en/guides/yolo-performance-metrics.md index 6a7a5e68ef..d88b2ae757 100644 --- a/docs/en/guides/yolo-performance-metrics.md +++ b/docs/en/guides/yolo-performance-metrics.md @@ -10,6 +10,17 @@ keywords: YOLOv8, Performance metrics, Object detection, Intersection over Union Performance metrics are key tools to evaluate the accuracy and efficiency of object detection models. They shed light on how effectively a model can identify and localize objects within images. Additionally, they help in understanding the model's handling of false positives and false negatives. These insights are crucial for evaluating and enhancing the model's performance. In this guide, we will explore various performance metrics associated with YOLOv8, their significance, and how to interpret them. +

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+ Watch: Ultralytics YOLOv8 Performance Metrics | MAP, F1 Score, Precision, IOU & Accuracy +

+ ## Object Detection Metrics Let’s start by discussing some metrics that are not only important to YOLOv8 but are broadly applicable across different object detection models.