Spaces:
Sleeping
Sleeping
File size: 10,133 Bytes
7370e5c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 |
---
comments: true
description: Optimize parking spaces and enhance safety with Ultralytics YOLOv8. Explore real-time vehicle detection and smart parking solutions.
keywords: parking management, YOLOv8, Ultralytics, vehicle detection, real-time tracking, parking lot optimization, smart parking
---
# Parking Management using Ultralytics YOLOv8 🚀
## What is Parking Management System?
Parking management with [Ultralytics YOLOv8](https://github.com/ultralytics/ultralytics/) ensures efficient and safe parking by organizing spaces and monitoring availability. YOLOv8 can improve parking lot management through real-time vehicle detection, and insights into parking occupancy.
<p align="center">
<br>
<iframe loading="lazy" width="720" height="405" src="https://www.youtube.com/embed/WwXnljc7ZUM"
title="YouTube video player" frameborder="0"
allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"
allowfullscreen>
</iframe>
<br>
<strong>Watch:</strong> How to Implement Parking Management Using Ultralytics YOLOv8 🚀
</p>
## Advantages of Parking Management System?
- **Efficiency**: Parking lot management optimizes the use of parking spaces and reduces congestion.
- **Safety and Security**: Parking management using YOLOv8 improves the safety of both people and vehicles through surveillance and security measures.
- **Reduced Emissions**: Parking management using YOLOv8 manages traffic flow to minimize idle time and emissions in parking lots.
## Real World Applications
| Parking Management System | Parking Management System |
| :-----------------------------------------------------------------------------------------------------------------------------------------------------: | :----------------------------------------------------------------------------------------------------------------------------------------------------------: |
|  |  |
| Parking management Aerial View using Ultralytics YOLOv8 | Parking management Top View using Ultralytics YOLOv8 |
## Parking Management System Code Workflow
### Selection of Points
!!! Tip "Point Selection is now Easy"
Choosing parking points is a critical and complex task in parking management systems. Ultralytics streamlines this process by providing a tool that lets you define parking lot areas, which can be utilized later for additional processing.
- Capture a frame from the video or camera stream where you want to manage the parking lot.
- 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.
!!! Warning "Image Size"
Max Image Size of 1920 * 1080 supported
!!! Example "Parking slots Annotator Ultralytics YOLOv8"
=== "Parking Annotator"
```python
from ultralytics import solutions
solutions.ParkingPtsSelection()
```
- After defining the parking areas with polygons, click `save` to store a JSON file with the data in your working directory.
### Python Code for Parking Management
!!! Example "Parking management using YOLOv8 Example"
=== "Parking Management"
```python
import cv2
from ultralytics import solutions
# Path to json file, that created with above point selection app
polygon_json_path = "bounding_boxes.json"
# Video capture
cap = cv2.VideoCapture("Path/to/video/file.mp4")
assert cap.isOpened(), "Error reading video file"
w, h, fps = (int(cap.get(x)) for x in (cv2.CAP_PROP_FRAME_WIDTH, cv2.CAP_PROP_FRAME_HEIGHT, cv2.CAP_PROP_FPS))
# Video writer
video_writer = cv2.VideoWriter("parking management.avi", cv2.VideoWriter_fourcc(*"mp4v"), fps, (w, h))
# Initialize parking management object
management = solutions.ParkingManagement(model_path="yolov8n.pt")
while cap.isOpened():
ret, im0 = cap.read()
if not ret:
break
json_data = management.parking_regions_extraction(polygon_json_path)
results = management.model.track(im0, persist=True, show=False)
if results[0].boxes.id is not None:
boxes = results[0].boxes.xyxy.cpu().tolist()
clss = results[0].boxes.cls.cpu().tolist()
management.process_data(json_data, im0, boxes, clss)
management.display_frames(im0)
video_writer.write(im0)
cap.release()
video_writer.release()
cv2.destroyAllWindows()
```
### Optional Arguments `ParkingManagement`
| Name | Type | Default | Description |
| ------------------------ | ------- | ----------------- | -------------------------------------- |
| `model_path` | `str` | `None` | Path to the YOLOv8 model. |
| `txt_color` | `tuple` | `(0, 0, 0)` | RGB color tuple for text. |
| `bg_color` | `tuple` | `(255, 255, 255)` | RGB color tuple for background. |
| `occupied_region_color` | `tuple` | `(0, 255, 0)` | RGB color tuple for occupied regions. |
| `available_region_color` | `tuple` | `(0, 0, 255)` | RGB color tuple for available regions. |
| `margin` | `int` | `10` | Margin for text display. |
### Arguments `model.track`
| Name | Type | Default | Description |
| --------- | ------- | -------------- | ----------------------------------------------------------- |
| `source` | `im0` | `None` | source directory for images or videos |
| `persist` | `bool` | `False` | persisting tracks between frames |
| `tracker` | `str` | `botsort.yaml` | Tracking method 'bytetrack' or 'botsort' |
| `conf` | `float` | `0.3` | Confidence Threshold |
| `iou` | `float` | `0.5` | IOU Threshold |
| `classes` | `list` | `None` | filter results by class, i.e. classes=0, or classes=[0,2,3] |
| `verbose` | `bool` | `True` | Display the object tracking results |
## FAQ
### How does Ultralytics YOLOv8 enhance parking management systems?
Ultralytics YOLOv8 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](#python-code-for-parking-management).
### What are the benefits of using Ultralytics YOLOv8 for smart parking?
Using Ultralytics YOLOv8 for smart parking yields numerous benefits:
- **Efficiency**: Optimizes the use of parking spaces and decreases congestion.
- **Safety and Security**: Enhances surveillance and ensures the safety of vehicles and pedestrians.
- **Environmental Impact**: Helps in reducing emissions by minimizing vehicle idle times. More details on the advantages can be seen [here](#advantages-of-parking-management-system).
### How can I define parking spaces using Ultralytics YOLOv8?
Defining parking spaces is straightforward with Ultralytics YOLOv8:
1. Capture a frame from a video or camera stream.
2. Use the provided code to launch a GUI for selecting an image and drawing polygons to define parking spaces.
3. Save the labeled data in JSON format for further processing. For comprehensive instructions, check the [selection of points](#selection-of-points) section.
### Can I customize the YOLOv8 model for specific parking management needs?
Yes, Ultralytics YOLOv8 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 [optional arguments](#optional-arguments-parkingmanagement), you can tailor the model to suit your particular requirements, ensuring maximum efficiency and effectiveness.
### What are some real-world applications of Ultralytics YOLOv8 in parking lot management?
Ultralytics YOLOv8 is utilized in various real-world applications for parking lot management, including:
- **Parking Space Detection**: Accurately identifying available and occupied spaces.
- **Surveillance**: Enhancing security through real-time monitoring.
- **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).
|