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ultralytics 8.0.238 Explorer Ask AI feature and fixes (#7408)

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Co-authored-by: Uwe Rosebrock <ro260@csiro.au>
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Glenn Jocher 2024-01-08 23:36:29 +01:00 • committed by GitHub
parent e76754eab0
commit 783033fa6b
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19 changed files with 387 additions and 76 deletions
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2
docs/en/guides/heatmaps.md
View file

@ -99,7 +99,7 @@ A heatmap generated with [Ultralytics YOLOv8](https://github.com/ultralytics/ult
fps,
(w, h))
line_points = [(256, 409), (694, 532)] # line for object counting
line_points = [(20, 400), (1080, 404)] # line for object counting
# Init heatmap
heatmap_obj = heatmap.Heatmap()

20
docs/en/guides/instance-segmentation-and-tracking.md
View file

@ -31,7 +31,7 @@ There are two types of instance segmentation tracking available in the Ultralyti
from ultralytics import YOLO
from ultralytics.utils.plotting import Annotator, colors
model = YOLO("yolov8n-seg.pt")
model = YOLO("yolov8n-seg.pt") # segmentation model
names = model.model.names
cap = cv2.VideoCapture("path/to/video/file.mp4")
w, h, fps = (int(cap.get(x)) for x in (cv2.CAP_PROP_FRAME_WIDTH, cv2.CAP_PROP_FRAME_HEIGHT, cv2.CAP_PROP_FPS))
@ -45,15 +45,15 @@ There are two types of instance segmentation tracking available in the Ultralyti
break
results = model.predict(im0)
clss = results[0].boxes.cls.cpu().tolist()
masks = results[0].masks.xy
annotator = Annotator(im0, line_width=2)
for mask, cls in zip(masks, clss):
annotator.seg_bbox(mask=mask,
mask_color=colors(int(cls), True),
det_label=names[int(cls)])
if results[0].masks is not None:
clss = results[0].boxes.cls.cpu().tolist()
masks = results[0].masks.xy
for mask, cls in zip(masks, clss):
annotator.seg_bbox(mask=mask,
mask_color=colors(int(cls), True),
det_label=names[int(cls)])
out.write(im0)
cv2.imshow("instance-segmentation", im0)
@ -77,7 +77,7 @@ There are two types of instance segmentation tracking available in the Ultralyti
track_history = defaultdict(lambda: [])
model = YOLO("yolov8n-seg.pt")
model = YOLO("yolov8n-seg.pt") # segmentation model
cap = cv2.VideoCapture("path/to/video/file.mp4")
w, h, fps = (int(cap.get(x)) for x in (cv2.CAP_PROP_FRAME_WIDTH, cv2.CAP_PROP_FRAME_HEIGHT, cv2.CAP_PROP_FPS))
@ -93,7 +93,7 @@ There are two types of instance segmentation tracking available in the Ultralyti
results = model.track(im0, persist=True)
if results[0].boxes.id is not None:
if results[0].boxes.id is not None and results[0].masks is not None:
masks = results[0].masks.xy
track_ids = results[0].boxes.id.int().cpu().tolist()