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Code Issues Pull requests Projects Releases Packages Wiki Activity Actions 3

Simplify Solutions Docs code examples (#17493)

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Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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Muhammad Rizwan Munawar 2024-11-12 14:57:00 +05:00 • committed by GitHub
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166
docs/en/guides/heatmaps.md
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@ -47,6 +47,9 @@ A heatmap generated with [Ultralytics YOLO11](https://github.com/ultralytics/ult
# Pass a custom colormap
yolo solutions heatmap colormap=cv2.COLORMAP_INFERNO
# Heatmaps + object counting
yolo solutions heatmap region=[(20, 400), (1080, 404), (1080, 360), (20, 360)]
```
=== "Python"
@ -63,161 +66,24 @@ A heatmap generated with [Ultralytics YOLO11](https://github.com/ultralytics/ult
# Video writer
video_writer = cv2.VideoWriter("heatmap_output.avi", cv2.VideoWriter_fourcc(*"mp4v"), fps, (w, h))
# Init heatmap
heatmap = solutions.Heatmap(
show=True,
model="yolo11n.pt",
colormap=cv2.COLORMAP_PARULA,
)
while cap.isOpened():
success, im0 = cap.read()
if not success:
print("Video frame is empty or video processing has been successfully completed.")
break
im0 = heatmap.generate_heatmap(im0)
video_writer.write(im0)
cap.release()
video_writer.release()
cv2.destroyAllWindows()
```
=== "Line Counting"
```python
import cv2
from ultralytics import solutions
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("heatmap_output.avi", cv2.VideoWriter_fourcc(*"mp4v"), fps, (w, h))
# line for object counting
line_points = [(20, 400), (1080, 404)]
# In case you want to apply object counting + heatmaps, you can pass region points.
# region_points = [(20, 400), (1080, 404)] # Define line points
# region_points = [(20, 400), (1080, 404), (1080, 360), (20, 360)] # Define region points
# region_points = [(20, 400), (1080, 404), (1080, 360), (20, 360), (20, 400)] # Define polygon points
# Init heatmap
heatmap = solutions.Heatmap(
show=True,
model="yolo11n.pt",
colormap=cv2.COLORMAP_PARULA,
region=line_points,
)
while cap.isOpened():
success, im0 = cap.read()
if not success:
print("Video frame is empty or video processing has been successfully completed.")
break
im0 = heatmap.generate_heatmap(im0)
video_writer.write(im0)
cap.release()
video_writer.release()
cv2.destroyAllWindows()
```
=== "Polygon Counting"
```python
import cv2
from ultralytics import solutions
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("heatmap_output.avi", cv2.VideoWriter_fourcc(*"mp4v"), fps, (w, h))
# Define polygon points
region_points = [(20, 400), (1080, 404), (1080, 360), (20, 360), (20, 400)]
# Init heatmap
heatmap = solutions.Heatmap(
show=True,
model="yolo11n.pt",
colormap=cv2.COLORMAP_PARULA,
region=region_points,
)
while cap.isOpened():
success, im0 = cap.read()
if not success:
print("Video frame is empty or video processing has been successfully completed.")
break
im0 = heatmap.generate_heatmap(im0)
video_writer.write(im0)
cap.release()
video_writer.release()
cv2.destroyAllWindows()
```
=== "Region Counting"
```python
import cv2
from ultralytics import solutions
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("heatmap_output.avi", cv2.VideoWriter_fourcc(*"mp4v"), fps, (w, h))
# Define region points
region_points = [(20, 400), (1080, 404), (1080, 360), (20, 360)]
# Init heatmap
heatmap = solutions.Heatmap(
show=True,
model="yolo11n.pt",
colormap=cv2.COLORMAP_PARULA,
region=region_points,
)
while cap.isOpened():
success, im0 = cap.read()
if not success:
print("Video frame is empty or video processing has been successfully completed.")
break
im0 = heatmap.generate_heatmap(im0)
video_writer.write(im0)
cap.release()
video_writer.release()
cv2.destroyAllWindows()
```
=== "Specific Classes"
```python
import cv2
from ultralytics import solutions
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("heatmap_output.avi", cv2.VideoWriter_fourcc(*"mp4v"), fps, (w, h))
# Init heatmap
heatmap = solutions.Heatmap(
show=True,
model="yolo11n.pt",
classes=[0, 2],
show=True, # Display the output
model="yolo11n.pt", # Path to the YOLO11 model file
colormap=cv2.COLORMAP_PARULA, # Colormap of heatmap
# region=region_points, # If you want to do object counting with heatmaps, you can pass region_points
# classes=[0, 2], # If you want to generate heatmap for specific classes i.e person and car.
# show_in=True, # Display in counts
# show_out=True, # Display out counts
# line_width=2, # Adjust the line width for bounding boxes and text display
)
# Process video
while cap.isOpened():
success, im0 = cap.read()
if not success: