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detect.py
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detect.py
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from ultralytics import YOLO
import os
import cv2
import supervision as spv
if __name__ == "__main__":
path_model = os.path.join("runs", "detect", "train", "weights")
# Creating the model
model = YOLO(os.path.join(path_model, "best.pt"))
# This will draw the detections
class_colors = spv.ColorPalette.from_hex(['#ffff66', '#66ffcc', '#ff99ff', '#ffcc99'])
box_annotator = spv.BoxAnnotator(
thickness=2,
text_thickness=1,
text_scale=0.5,
color=class_colors
)
# Reading frames from the webcam
cap = cv2.VideoCapture(0)
while True:
ret, frame = cap.read()
result = model(frame, agnostic_nms=True)[0]
detections = spv.Detections.from_yolov8(result)
labels = [
f"{model.model.names[class_id]} {confidence:0.2f}"
for _, confidence, class_id, _
in detections
]
frame = box_annotator.annotate(
scene=frame,
detections=detections,
labels=labels
)
cv2.imshow("Face parts", frame)
k = cv2.waitKey(1)
if k == ord("q"):
break