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Refactor all Ultralytics Solutions (#12790)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: RizwanMunawar <chr043416@gmail.com>
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Glenn Jocher 2024-05-18 18:14:42 +02:00 • committed by GitHub
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33
docs/en/guides/parking-management.md
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@ -23,24 +23,24 @@ Parking management with [Ultralytics YOLOv8](https://github.com/ultralytics/ultr
| ![Parking lots Analytics Using Ultralytics YOLOv8](https://github.com/RizwanMunawar/RizwanMunawar/assets/62513924/e3d4bc3e-cf4a-4da9-b42e-0da55cc74ad6) | ![Parking management top view using Ultralytics YOLOv8](https://github.com/RizwanMunawar/RizwanMunawar/assets/62513924/fe186719-1aca-43c9-b388-1ded91280eb5) |
| Parking management Aeriel 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
```python
from ultralytics.solutions.parking_management import ParkingPtsSelection, tk
root = tk.Tk()
ParkingPtsSelection(root)
root.mainloop()
@ -50,7 +50,6 @@ root.mainloop()
![Ultralytics YOLOv8 Points Selection Demo](https://github.com/RizwanMunawar/RizwanMunawar/assets/62513924/72737b8a-0f0f-4efb-98ad-b917a0039535)
### Python Code for Parking Management
!!! Example "Parking management using YOLOv8 Example"
@ -59,7 +58,7 @@ root.mainloop()
```python
import cv2
from ultralytics.solutions.parking_management import ParkingManagement
from ultralytics import solutions
# Path to json file, that created with above point selection app
polygon_json_path = "bounding_boxes.json"
@ -72,11 +71,10 @@ root.mainloop()
cv2.CAP_PROP_FPS))
# Video writer
video_writer = cv2.VideoWriter("parking management.avi",
cv2.VideoWriter_fourcc(*'mp4v'), fps, (w, h))
video_writer = cv2.VideoWriter("parking management.avi", cv2.VideoWriter_fourcc(*'mp4v'), fps, (w, h))
# Initialize parking management object
management = ParkingManagement(model_path="yolov8n.pt")
management = solutions.ParkingManagement(model_path="yolov8n.pt")
while cap.isOpened():
ret, im0 = cap.read()
@ -98,16 +96,17 @@ root.mainloop()
video_writer.release()
cv2.destroyAllWindows()
```
### Optional Arguments `ParkingManagement()`
| Name | Type | Default | Description |
|--------------------------|-------------|-------------------|-----------------------------------------------------|
| `occupied_region_color` | `RGB Color` | `(0, 255, 0)` | Parking space occupied region color |
| `available_region_color` | `RGB Color` | `(0, 0, 255)` | Parking space available region color |
| `margin` | `int` | `10` | Gap between text display for multiple classes count |
| `txt_color` | `RGB Color` | `(255, 255, 255)` | Foreground color for object counts text |
| `bg_color` | `RGB Color` | `(255, 255, 255)` | Rectangle behind text background color |
### 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`