163 lines
8.9 KiB
Markdown
163 lines
8.9 KiB
Markdown
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---
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comments: true
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description: Optimize parking spaces and enhance safety with Ultralytics YOLO11. Explore real-time vehicle detection and smart parking solutions.
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keywords: parking management, YOLO11, Ultralytics, vehicle detection, real-time tracking, parking lot optimization, smart parking
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---
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# Parking Management using Ultralytics YOLO11 🚀
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## What is Parking Management System?
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Parking management with [Ultralytics YOLO11](https://github.com/ultralytics/ultralytics/) ensures efficient and safe parking by organizing spaces and monitoring availability. YOLO11 can improve parking lot management through real-time vehicle detection, and insights into parking occupancy.
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<p align="center">
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<br>
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<iframe loading="lazy" width="720" height="405" src="https://www.youtube.com/embed/WwXnljc7ZUM"
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title="YouTube video player" frameborder="0"
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allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"
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allowfullscreen>
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</iframe>
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<br>
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<strong>Watch:</strong> How to Implement Parking Management Using Ultralytics YOLO 🚀
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</p>
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## Advantages of Parking Management System?
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- **Efficiency**: Parking lot management optimizes the use of parking spaces and reduces congestion.
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- **Safety and Security**: Parking management using YOLO11 improves the safety of both people and vehicles through surveillance and security measures.
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- **Reduced Emissions**: Parking management using YOLO11 manages traffic flow to minimize idle time and emissions in parking lots.
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## Real World Applications
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| Parking Management System | Parking Management System |
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| :----------------------------------------------------------------------------------------------------------------------------------------------------------------: | :------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
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| Parking management Aerial View using Ultralytics YOLO11 | Parking management Top View using Ultralytics YOLO11 |
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## Parking Management System Code Workflow
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??? note "Points selection is now easy"
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Choosing parking points is a critical and complex task in parking management systems. Ultralytics streamlines this process by providing a tool "Parking slots annotator" that lets you define parking lot areas, which can be utilized later for additional processing.
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**Step-1:** Capture a frame from the video or camera stream where you want to manage the parking lot.
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**Step-2:** Use the provided code to launch a graphical interface, where you can select an image and start outlining parking regions by mouse click to create polygons.
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!!! example "Parking slots annotator Ultralytics YOLO"
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??? note "Additional step for installing `tkinter`"
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Generally, `tkinter` comes pre-packaged with Python. However, if it did not, you can install it using the highlighted steps:
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- **Linux**: (Debian/Ubuntu): `sudo apt install python3-tk`
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- **Fedora**: `sudo dnf install python3-tkinter`
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- **Arch**: `sudo pacman -S tk`
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- **Windows**: Reinstall Python and enable the checkbox `tcl/tk and IDLE` on **Optional Features** during installation
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- **MacOS**: Reinstall Python from [https://www.python.org/downloads/macos/](https://www.python.org/downloads/macos/) or `brew install python-tk`
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=== "Python"
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```python
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from ultralytics import solutions
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solutions.ParkingPtsSelection()
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```
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**Step-3:** After defining the parking areas with polygons, click `save` to store a JSON file with the data in your working directory.
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**Step-4:** You can now utilize the provided code for parking management with Ultralytics YOLO.
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!!! example "Parking Management using Ultralytics YOLO"
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=== "Python"
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```python
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import cv2
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from ultralytics import solutions
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# Video capture
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cap = cv2.VideoCapture("path/to/video.mp4")
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assert cap.isOpened(), "Error reading video file"
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# Video writer
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w, h, fps = (int(cap.get(x)) for x in (cv2.CAP_PROP_FRAME_WIDTH, cv2.CAP_PROP_FRAME_HEIGHT, cv2.CAP_PROP_FPS))
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video_writer = cv2.VideoWriter("parking management.avi", cv2.VideoWriter_fourcc(*"mp4v"), fps, (w, h))
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# Initialize parking management object
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parkingmanager = solutions.ParkingManagement(
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model="yolo11n.pt", # path to model file
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json_file="bounding_boxes.json", # path to parking annotations file
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)
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while cap.isOpened():
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ret, im0 = cap.read()
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if not ret:
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break
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results = parkingmanager(im0)
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# print(results) # access the output
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video_writer.write(results.plot_im) # write the processed frame.
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cap.release()
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video_writer.release()
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cv2.destroyAllWindows() # destroy all opened windows
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```
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### `ParkingManagement` Arguments
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Here's a table with the `ParkingManagement` arguments:
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{% from "macros/solutions-args.md" import param_table %}
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{{ param_table(["model", "json_file"]) }}
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The `ParkingManagement` solution allows the use of several `track` parameters:
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{% from "macros/track-args.md" import param_table %}
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{{ param_table(["tracker", "conf", "iou", "classes", "verbose", "device"]) }}
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Moreover, the following visualization options are supported:
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{% from "macros/visualization-args.md" import param_table %}
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{{ param_table(["show", "line_width"]) }}
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## FAQ
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### How does Ultralytics YOLO11 enhance parking management systems?
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Ultralytics YOLO11 greatly enhances parking management systems by providing **real-time vehicle detection** and monitoring. This results in optimized usage of parking spaces, reduced congestion, and improved safety through continuous surveillance. The [Parking Management System](https://github.com/ultralytics/ultralytics) enables efficient traffic flow, minimizing idle times and emissions in parking lots, thereby contributing to environmental sustainability. For further details, refer to the [parking management code workflow](#parking-management-system-code-workflow).
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### What are the benefits of using Ultralytics YOLO11 for smart parking?
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Using Ultralytics YOLO11 for smart parking yields numerous benefits:
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- **Efficiency**: Optimizes the use of parking spaces and decreases congestion.
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- **Safety and Security**: Enhances surveillance and ensures the safety of vehicles and pedestrians.
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- **Environmental Impact**: Helps reduce emissions by minimizing vehicle idle times. Explore more benefits in the [Advantages of Parking Management System section](#advantages-of-parking-management-system).
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-
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### How can I define parking spaces using Ultralytics YOLO11?
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Defining parking spaces is straightforward with Ultralytics YOLO11:
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1. Capture a frame from a video or camera stream.
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2. Use the provided code to launch a GUI for selecting an image and drawing polygons to define parking spaces.
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3. Save the labeled data in JSON format for further processing. For comprehensive instructions, check the selection of points section above.
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### Can I customize the YOLO11 model for specific parking management needs?
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Yes, Ultralytics YOLO11 allows customization for specific parking management needs. You can adjust parameters such as the **occupied and available region colors**, margins for text display, and much more. Utilizing the `ParkingManagement` class's [arguments](#parkingmanagement-arguments), you can tailor the model to suit your particular requirements, ensuring maximum efficiency and effectiveness.
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### What are some real-world applications of Ultralytics YOLO11 in parking lot management?
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Ultralytics YOLO11 is utilized in various real-world applications for parking lot management, including:
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- **Parking Space Detection**: Accurately identifying available and occupied spaces.
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- **Surveillance**: Enhancing security through real-time monitoring.
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- **Traffic Flow Management**: Reducing idle times and congestion with efficient traffic handling. Images showcasing these applications can be found in [real-world applications](#real-world-applications).
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