使用 ultralytics 摄像头yolo推理

码狂☆2024-06-05 15:36

使用 ultralytics 摄像头yolo推理

github
https://github.com/ultralytics/ultralytics

搭建环境

bash 复制代码

# Install the ultralytics package using conda
conda install -c conda-forge ultralytics

linux下摄像头推理

python 复制代码

import cv2
from ultralytics import YOLO
import time

# 加载轻量级模型，并指定较小的图像尺寸以提高速度
model = YOLO('yolov8n.pt')  # 或者根据实际情况选择其他轻量模型
IMG_SIZE = 320  # 调整输入图像尺寸

cap = cv2.VideoCapture(0)

prev_time = 0
curr_time = 0
fps = 0

while True:
    ret, frame = cap.read()
    if not ret:
        print("未能成功获取视频帧，退出...")
        break
    
    # 缩放图像以减小推理负担
    frame = cv2.resize(frame, (IMG_SIZE, IMG_SIZE))
    
    curr_time = time.time()
    fps = 1 / (curr_time - prev_time)
    prev_time = curr_time
    
    results = model(frame)
    
    annotated_frame = results[0].plot()
    cv2.putText(annotated_frame, f"FPS: {fps:.2f}", (10, 30), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 2)
    
    cv2.imshow('YOLO Real-Time Detection with FPS', annotated_frame)
    
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

cap.release()
cv2.destroyAllWindows()