做商品网站数据库有哪些内容,网页打不开无法访问此网站,wap网站模板,wordpress缩略图支持外链图上一次介绍了如何使用最基本的 Yolo-word来做检测#xff0c;现在我们在加opencv来做个实时检测的例子
基本思路
1、读取离线视频流 2、将视频帧给yolo识别 3、根据识别结果 对视频进行绘制边框、加文字之类的
完整代码如下#xff1a;
import datetimefrom ultralytics …上一次介绍了如何使用最基本的 Yolo-word来做检测现在我们在加opencv来做个实时检测的例子
基本思路
1、读取离线视频流 2、将视频帧给yolo识别 3、根据识别结果 对视频进行绘制边框、加文字之类的
完整代码如下
import datetimefrom ultralytics import YOLO
import cv2
from loguru import logger as log#加载YOLO模型
model YOLO(model/yolov8s-world.pt)resize_width 1920
resize_height 1080def predict(chosen_model, img, classes [], conf 0.5):img cv2.resize(img, (resize_width, resize_height))if classes:results chosen_model.predict(img, classes classes, conf conf, save_txt False)else:results chosen_model.predict(img, conf conf, save_txt False)return resultsdef predict_and_detect(chosen_model, img, classes [], conf 0.5):img cv2.resize(img, (resize_width, resize_height))cv2.putText(img, f{datetime.datetime.now().strftime(%Y-%m-%d %H:%M:%S)},(10, 20),cv2.FONT_HERSHEY_PLAIN, 1, (0, 0, 255), 1)results predict(chosen_model, img, classes, conf conf)person 0for result in results:for box in result.boxes:# 如果标签是人的将盒子做成绿色并在盒子上用大号字体打印置信度if result.names[int(box.cls[0])] person:person 1cv2.rectangle(img, (int(box.xyxy[0][0]), int(box.xyxy[0][1])),(int(box.xyxy[0][2]), int(box.xyxy[0][3])), (0, 255, 0), 2)cv2.putText(img, f{result.names[int(box.cls[0])]} {box.conf[0]:.2f},(int(box.xyxy[0][0]), int(box.xyxy[0][1]) - 10),cv2.FONT_HERSHEY_PLAIN, 1, (0, 255, 0), 1)else:cv2.rectangle(img, (int(box.xyxy[0][0]), int(box.xyxy[0][1])),(int(box.xyxy[0][2]), int(box.xyxy[0][3])), (0, 0, 255), 2)cv2.putText(img, f{result.names[int(box.cls[0])]} {box.conf[0]:.2f},(int(box.xyxy[0][0]), int(box.xyxy[0][1]) - 10),cv2.FONT_HERSHEY_PLAIN, 1, (0, 0, 255), 1)if person 0:log.error(f当前发现有{person}个人)return img, resultsdef main():# 在处理下一个帧之前跳过的帧数skip_frames 2frame_count 0cap cv2.VideoCapture(0)while True:ret, frame cap.read()if not ret:breakframe_count 1 frame_countif frame_count % skip_frames ! 0:continueresult_frame, _ predict_and_detect(model, frame)cv2.imshow(video, result_frame)if cv2.waitKey(1) 0xFF ord(q):breakcap.release()cv2.destroyAllWindows()if __name__ __main__:main()运行效果
