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PatrickBue authored Jul 10, 2020
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5 changes: 3 additions & 2 deletions README.md
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<img src="scenarios/media/logo_cvbp.png" align="right" alt="" width="300"/>

```diff
+ Update June 24: Added action recognition as new core scenario.
+ Object tracking coming soon (in 2-4 weeks).
+ Update July: Added support for action recognition and tracking
+ in the new release v1.2.
```

# Computer Vision
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| [Keypoints](scenarios/keypoints) | Base | Keypoint detection can be used to detect specific points on an object. A pre-trained model is provided to detect body joints for human pose estimation. |
| [Segmentation](scenarios/segmentation) | Base | Image Segmentation assigns a category to each pixel in an image. |
| [Action recognition](scenarios/action_recognition) | Base | Action recognition to identify in video/webcam footage what actions are performed (e.g. "running", "opening a bottle") and at what respective start/end times. We also implemented the i3d implementation of action recognition that can be found under (contrib)[contrib]. |
| [Tracking](scenarios/tracking) | Base | Tracking allows to detect and track multiple objects in a video sequence over time. |
| [Crowd counting](contrib/crowd_counting) | Contrib | Counting the number of people in low-crowd-density (e.g. less than 10 people) and high-crowd-density (e.g. thousands of people) scenarios.|

We separate the supported CV scenarios into two locations: (i) **base**: code and notebooks within the "utils_cv" and "scenarios" folders which follow strict coding guidelines, are well tested and maintained; (ii) **contrib**: code and other assets within the "contrib" folder, mainly covering less common CV scenarios using bleeding edge state-of-the-art approaches. Code in "contrib" is not regularly tested or maintained.
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| [Keypoints](keypoints) | Keypoint Detection can be used to detect specific points on an object. A pre-trained model is provided to detect body joints for human pose estimation. |
| [Segmentation](segmentation) | Image Segmentation assigns a category to each pixel in an image. |
| [Action Recognition](action_recognition) | Action Recognition (also known as activity recognition) consists of classifying various actions from a sequence of frames, such as "reading" or "drinking". |
| [Tracking](tracking) | Tracking allows to detect and track multiple objects in a video sequence over time. |


# Scenarios
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543 changes: 375 additions & 168 deletions scenarios/tracking/01_training_introduction.ipynb

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