ultralytics 8.3.28 new Solutions CLI commands (#17233)
Signed-off-by: UltralyticsAssistant <web@ultralytics.com> Co-authored-by: UltralyticsAssistant <web@ultralytics.com> Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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@ -14,21 +14,39 @@ Ultralytics Solutions provide cutting-edge applications of YOLO models, offering
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Here's our curated list of Ultralytics solutions that can be used to create awesome [computer vision](https://www.ultralytics.com/glossary/computer-vision-cv) projects.
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- [Object Counting](../guides/object-counting.md) 🚀 NEW: Learn to perform real-time object counting with YOLO11. Gain the expertise to accurately count objects in live video streams.
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- [Object Cropping](../guides/object-cropping.md) 🚀 NEW: Master object cropping with YOLO11 for precise extraction of objects from images and videos.
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- [Object Blurring](../guides/object-blurring.md) 🚀 NEW: Apply object blurring using YOLO11 to protect privacy in image and video processing.
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- [Workouts Monitoring](../guides/workouts-monitoring.md) 🚀 NEW: Discover how to monitor workouts using YOLO11. Learn to track and analyze various fitness routines in real time.
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- [Objects Counting in Regions](../guides/region-counting.md) 🚀 NEW: Count objects in specific regions using YOLO11 for accurate detection in varied areas.
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- [Security Alarm System](../guides/security-alarm-system.md) 🚀 NEW: Create a security alarm system with YOLO11 that triggers alerts upon detecting new objects. Customize the system to fit your specific needs.
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- [Heatmaps](../guides/heatmaps.md) 🚀 NEW: Utilize detection heatmaps to visualize data intensity across a matrix, providing clear insights in computer vision tasks.
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- [Object Counting](../guides/object-counting.md) 🚀: Learn to perform real-time object counting with YOLO11. Gain the expertise to accurately count objects in live video streams.
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- [Object Cropping](../guides/object-cropping.md) 🚀: Master object cropping with YOLO11 for precise extraction of objects from images and videos.
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- [Object Blurring](../guides/object-blurring.md) 🚀: Apply object blurring using YOLO11 to protect privacy in image and video processing.
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- [Workouts Monitoring](../guides/workouts-monitoring.md) 🚀: Discover how to monitor workouts using YOLO11. Learn to track and analyze various fitness routines in real time.
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- [Objects Counting in Regions](../guides/region-counting.md) 🚀: Count objects in specific regions using YOLO11 for accurate detection in varied areas.
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- [Security Alarm System](../guides/security-alarm-system.md) 🚀: Create a security alarm system with YOLO11 that triggers alerts upon detecting new objects. Customize the system to fit your specific needs.
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- [Heatmaps](../guides/heatmaps.md) 🚀: Utilize detection heatmaps to visualize data intensity across a matrix, providing clear insights in computer vision tasks.
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- [Instance Segmentation with Object Tracking](../guides/instance-segmentation-and-tracking.md) 🚀 NEW: Implement [instance segmentation](https://www.ultralytics.com/glossary/instance-segmentation) and object tracking with YOLO11 to achieve precise object boundaries and continuous monitoring.
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- [VisionEye View Objects Mapping](../guides/vision-eye.md) 🚀 NEW: Develop systems that mimic human eye focus on specific objects, enhancing the computer's ability to discern and prioritize details.
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- [Speed Estimation](../guides/speed-estimation.md) 🚀 NEW: Estimate object speed using YOLO11 and object tracking techniques, crucial for applications like autonomous vehicles and traffic monitoring.
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- [Distance Calculation](../guides/distance-calculation.md) 🚀 NEW: Calculate distances between objects using [bounding box](https://www.ultralytics.com/glossary/bounding-box) centroids in YOLO11, essential for spatial analysis.
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- [Queue Management](../guides/queue-management.md) 🚀 NEW: Implement efficient queue management systems to minimize wait times and improve productivity using YOLO11.
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- [Parking Management](../guides/parking-management.md) 🚀 NEW: Organize and direct vehicle flow in parking areas with YOLO11, optimizing space utilization and user experience.
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- [VisionEye View Objects Mapping](../guides/vision-eye.md) 🚀: Develop systems that mimic human eye focus on specific objects, enhancing the computer's ability to discern and prioritize details.
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- [Speed Estimation](../guides/speed-estimation.md) 🚀: Estimate object speed using YOLO11 and object tracking techniques, crucial for applications like autonomous vehicles and traffic monitoring.
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- [Distance Calculation](../guides/distance-calculation.md) 🚀: Calculate distances between objects using [bounding box](https://www.ultralytics.com/glossary/bounding-box) centroids in YOLO11, essential for spatial analysis.
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- [Queue Management](../guides/queue-management.md) 🚀: Implement efficient queue management systems to minimize wait times and improve productivity using YOLO11.
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- [Parking Management](../guides/parking-management.md) 🚀: Organize and direct vehicle flow in parking areas with YOLO11, optimizing space utilization and user experience.
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- [Analytics](../guides/analytics.md) 📊 NEW: Conduct comprehensive data analysis to discover patterns and make informed decisions, leveraging YOLO11 for descriptive, predictive, and prescriptive analytics.
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- [Live Inference with Streamlit](../guides/streamlit-live-inference.md) 🚀 NEW: Leverage the power of YOLO11 for real-time [object detection](https://www.ultralytics.com/glossary/object-detection) directly through your web browser with a user-friendly Streamlit interface.
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- [Live Inference with Streamlit](../guides/streamlit-live-inference.md) 🚀: Leverage the power of YOLO11 for real-time [object detection](https://www.ultralytics.com/glossary/object-detection) directly through your web browser with a user-friendly Streamlit interface.
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## Solutions Usage
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!!! tip "Command Info"
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`yolo SOLUTIONS SOLUTION_NAME ARGS`
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- **SOLUTIONS** is a required keyword.
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- **SOLUTION_NAME** (optional) is one of: `['count', 'heatmap', 'queue', 'speed', 'workout', 'analytics']`.
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- **ARGS** (optional) are custom `arg=value` pairs, such as `show_in=True`, to override default settings.
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=== "CLI"
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```bash
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yolo solutions count show=True # for object counting
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yolo solutions source="path/to/video/file.mp4" # specify video file path
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```
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## Contribute to Our Solutions
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