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import cv2 | ||
from ultralytics import YOLO | ||
import time | ||
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model = YOLO("/home/user/ROS/models/maize/Maize.engine") | ||
image = cv2.imread("/home/user/ROS/assets/maize/IMG_1822_14.JPG") | ||
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# stream = True? | ||
for _ in range(100): | ||
tic = time.perf_counter_ns() | ||
result = model.predict( | ||
image, # batch=8 of the same image | ||
verbose=False, | ||
device="cuda", | ||
) | ||
print(f"Elapsed time: {(time.perf_counter_ns() - tic) / 1e6:.2f} ms") | ||
annotated_frame = result[0].plot() | ||
cv2.imshow("YOLOv8 Inference", annotated_frame) | ||
if cv2.waitKey(1) & 0xFF == ord("q"): | ||
break | ||
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cv2.destroyAllWindows() |