原因 许十七:解决python3 使用ros中cv_bridge报错(极简+讨巧)包括解决python3 使用ros的问题import sys import numpy as np from sensor_msgs.msg import Image def imgmsg_to_cv2(img_msg): if img_msg.encodi…
#原使用用到关于CvBridge的 from cv_bridge import CvBridge # 创建CvBridge对象 bridge = CvBridge() # 将OpenCV图像转换为ROS图像消息 image_msg = bridge.cv2_to_imgmsg(frame, encoding="bgr8") # 将ROS图像消息转换为OpenCV图像 image_msg = bridge.imgmsg_to_cv2(frame, encoding="bgr8") 解决方案如...
导入必要的库和模块:import cv2 from cv_bridge import CvBridge 创建一个cvBridge对象:bridge = CvBridge() 定义一个回调函数,用于接收ROS中的图像消息:def image_callback(ros_image): # 将ROS图像消息转换为OpenCV图像格式 cv_image = bridge.imgmsg_to_cv2(ros_image, "bgr8") # 在图像上进行进一步的处...
defimage_callback(msg):try:# 将ROS图像消息转换为OpenCV图像cv_image=cv_bridge.imgmsg_to_cv2(msg,"bgr8")exceptCvBridgeErrorase:print(e)# 图像处理和可视化process_image(cv_image)defprocess_image(image):# 这里可以添加任何OpenCV图像处理操作# 示例:转换为灰度图gray_image=cv2.cvtColor(image,cv2.COLO...
(self, data):13cv_image = self.cv_bridge.imgmsg_to_cv2(data,"bgr8")14(rows, cols, channnels) =cv_image.shape15ifcols > 60androws > 60:16cv2.circle(cv_image, (50, 50), 10, 255)17cv2.imshow("Image Window", cv_image)18cv2.waitKey(3)1920if__name__=='__main__':21rospy...
cv2.circle(cv_image, (60,60),30, (0,0,255),-1)# 显示Opencv格式的图像cv2.imshow("Image window", cv_image)cv2.waitKey(3)# 再将opencv格式额数据转换成ros image格式的数据发布try:self.image_pub.publish(self.bridge...
from cv_bridge import CvBridge, CvBridgeError def image_callback(image_msg): try: bridge = CvBridge() cv_image = bridge.imgmsg_to_cv2(image_msg, "bgr8") # 在这里,cv_image是一个OpenCV可处理的numpy数组 # 你可以应用OpenCV函数进行图像处理 # ... # 显示图像 cv2.imshow("Image window",...
importcv2importcv_bridge# 创建cv_bridge实例bridge=cv_bridge.CvBridge()# 从ROS获取图像并将其转换为OpenCV格式cv_image=bridge.imgmsg_to_cv2(ros_image,desired_encoding='bgr8') 1. 2. 3. 4. 5. 6. 7. 8. 配置详解 下面对配置进行详细说明,包括参数的设置。
cv_image = CvBridge().imgmsg_to_cv2(image_data, "bgr8") File "/home/zhw/gym-gazebo/gym_gazebo/envs/installation/catkin_ws/src/vision_opencv/cv_bridge/python/cv_bridge/core.py", line 163, in imgmsg_to_cv2 dtype, n_channels = self.encoding_to_dtype_with_channels(img_msg.encoding) ...
/usr/bin/env pythonimportcv_bridgeimportnumpyasnpbridge=cv_bridge.CvBridge()mono=np.random.random((100,100))*255mono=mono.astype(np.uint8)input_msg=bridge.cv2_to_imgmsg(mono,encoding='mono8')print('input_msg height : {}'.format(input_msg.height))print('input_msg width : {}'.format...