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ultralytics 8.0.190 add thop>=0.1.1 to requirements.txt (#5162)

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Co-authored-by: JohanWesto <Johan.westo@gmail.com>
Co-authored-by: Muhammad Rizwan Munawar <62513924+RizwanMunawar@users.noreply.github.com>
Co-authored-by: StephenBeirlaen <11806615+StephenBeirlaen@users.noreply.github.com>
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Glenn Jocher 2023-09-29 21:06:14 +02:00 • committed by GitHub
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docs/modes/predict.md
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@ -23,6 +23,13 @@ In the world of machine learning and computer vision, the process of making sens
<strong>Watch:</strong> How to Extract the Outputs from Ultralytics YOLOv8 Model for Custom Projects.
</p>
## Real-world Applications
| Manufacturing | Sports | Safety |
|:-----------------------------------:|:-----------------------:|:-----------:|
| ![Vehicle Spare Parts Detection](https://github.com/RizwanMunawar/ultralytics/assets/62513924/a0f802a8-0776-44cf-8f17-93974a4a28a1) | ![Football Player Detection](https://github.com/RizwanMunawar/ultralytics/assets/62513924/7d320e1f-fc57-4d7f-a691-78ee579c3442)| ![People Fall Detection](https://github.com/RizwanMunawar/ultralytics/assets/62513924/86437c4a-3227-4eee-90ef-9efb697bdb43) |
| Vehicle Spare Parts Detection | Football Player Detection | People Fall Detection |
## Why Use Ultralytics YOLO for Inference?
Here's why you should consider YOLOv8's predict mode for your various inference needs:

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docs/modes/track.md
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@ -30,6 +30,13 @@ The output from Ultralytics trackers is consistent with standard object detectio
<strong>Watch:</strong> Object Detection and Tracking with Ultralytics YOLOv8.
</p>
## Real-world Applications
| Transportation | Retail | Aquaculture |
|:-----------------------------------:|:-----------------------:|:-----------:|
| ![Vehicle Tracking](https://github.com/RizwanMunawar/ultralytics/assets/62513924/ee6e6038-383b-4f21-ac29-b2a1c7d386ab) | ![People Tracking](https://github.com/RizwanMunawar/ultralytics/assets/62513924/93bb4ee2-77a0-4e4e-8eb6-eb8f527f0527) | ![Fish Tracking](https://github.com/RizwanMunawar/ultralytics/assets/62513924/a5146d0f-bfa8-4e0a-b7df-3c1446cd8142) |
| Vehicle Tracking | People Tracking | Fish Tracking |
## Features at a Glance
Ultralytics YOLO extends its object detection features to provide robust and versatile object tracking:
@ -321,4 +328,4 @@ By contributing to this section, you help expand the scope of tracking solutions
To initiate your contribution, please refer to our [Contributing Guide](https://docs.ultralytics.com/help/contributing) for comprehensive instructions on submitting a Pull Request (PR) 🛠️. We are excited to see what you bring to the table!
Together, let's enhance the tracking capabilities of the Ultralytics YOLO ecosystem 🙏!
Together, let's enhance the tracking capabilities of the Ultralytics YOLO ecosystem 🙏!