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Add multiple lines graph support in analytics 8.2.26 (#13214)

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Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Muhammad Rizwan Munawar 2024-05-30 14:38:53 +05:00 • committed by GitHub
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91
docs/en/guides/analytics.md
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@ -71,6 +71,66 @@ This guide provides a comprehensive overview of three fundamental types of data
out.release()
cv2.destroyAllWindows()
```
=== "Multiple Lines"
```python
import cv2
from ultralytics import YOLO, solutions
model = YOLO("yolov8s.pt")
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))
out = cv2.VideoWriter("multiple_line_plot.avi", cv2.VideoWriter_fourcc(*"MJPG"), fps, (w, h))
analytics = solutions.Analytics(
type="line",
writer=out,
im0_shape=(w, h),
view_img=True,
max_points=200,
)
frame_count = 0
data = {}
labels = []
while cap.isOpened():
success, frame = cap.read()
if success:
frame_count += 1
results = model.track(frame, persist=True)
if results[0].boxes.id is not None:
boxes = results[0].boxes.xyxy.cpu()
track_ids = results[0].boxes.id.int().cpu().tolist()
clss = results[0].boxes.cls.cpu().tolist()
for box, track_id, cls in zip(boxes, track_ids, clss):
# Store each class label
if model.names[int(cls)] not in labels:
labels.append(model.names[int(cls)])
# Store each class count
if model.names[int(cls)] in data:
data[model.names[int(cls)]] += 1
else:
data[model.names[int(cls)]] = 0
# update lines every frame
analytics.update_multiple_lines(data, labels, frame_count)
data = {} # clear the data list for next frame
else:
break
cap.release()
out.release()
cv2.destroyAllWindows()
```
=== "Pie Chart"
@ -174,21 +234,22 @@ This guide provides a comprehensive overview of three fundamental types of data
Here's a table with the `Analytics` arguments:
| Name | Type | Default | Description |
|--------------|-------------------|---------------|-------------------------------------|
| `type` | `str` | `None` | Type of data or object. |
| `im0_shape` | `tuple` | `None` | Shape of the initial image. |
| `writer` | `cv2.VideoWriter` | `None` | Object for writing video files. |
| `title` | `str` | `ultralytics` | Title for the visualization. |
| `x_label` | `str` | `x` | Label for the x-axis. |
| `y_label` | `str` | `y` | Label for the y-axis. |
| `bg_color` | `str` | `white` | Background color. |
| `fg_color` | `str` | `black` | Foreground color. |
| `line_color` | `str` | `yellow` | Color of the lines. |
| `line_width` | `int` | `2` | Width of the lines. |
| `fontsize` | `int` | `13` | Font size for text. |
| `view_img` | `bool` | `False` | Flag to display the image or video. |
| `save_img` | `bool` | `True` | Flag to save the image or video. |
| Name | Type | Default | Description |
|--------------|-------------------|---------------|----------------------------------------------------------------------------------|
| `type` | `str` | `None` | Type of data or object. |
| `im0_shape` | `tuple` | `None` | Shape of the initial image. |
| `writer` | `cv2.VideoWriter` | `None` | Object for writing video files. |
| `title` | `str` | `ultralytics` | Title for the visualization. |
| `x_label` | `str` | `x` | Label for the x-axis. |
| `y_label` | `str` | `y` | Label for the y-axis. |
| `bg_color` | `str` | `white` | Background color. |
| `fg_color` | `str` | `black` | Foreground color. |
| `line_color` | `str` | `yellow` | Color of the lines. |
| `line_width` | `int` | `2` | Width of the lines. |
| `fontsize` | `int` | `13` | Font size for text. |
| `view_img` | `bool` | `False` | Flag to display the image or video. |
| `save_img` | `bool` | `True` | Flag to save the image or video. |
| `max_points` | `int` | `50` | For multiple lines, total points drawn on frame, before deleting initial points. |
### Arguments `model.track`