hailo-inference/image_publisher.py
Raphael Maenle d7ab431fd6 publishes bounding boxes
- bounding boxes found in image over 0.1
  score are published as a Detection2D
  array
- post-processing moved to seperate thread
2022-03-14 17:42:34 +01:00

33 lines
1.0 KiB
Python

import rclpy
from rclpy.node import Node
from std_msgs.msg import String
from cv_bridge import CvBridge
from sensor_msgs.msg import Image
import cv2
import numpy as np
class MinimalPublisher(Node):
def __init__(self):
super().__init__('minimal_publisher')
self.publisher_ = self.create_publisher(Image, '/camera/color/image_raw', 10)
timer_period = 1/30 # seconds
self.timer = self.create_timer(timer_period, self.timer_callback)
self.i = 0
self.im_list = []
self.cv_image = cv2.imread('data/DJI_0001_0001.jpg') ### an RGB image
self.bridge = CvBridge()
def timer_callback(self):
self.publisher_.publish(self.bridge.cv2_to_imgmsg(np.array(self.cv_image), "bgr8"))
self.get_logger().info('Publishing an image')
def main(args=None):
rclpy.init(args=args)
minimal_publisher = MinimalPublisher()
rclpy.spin(minimal_publisher)
minimal_publisher.destroy_node()
rclpy.shutdown()
if __name__ == '__main__':
main()