我目前正在使用d435,我想按照我的代码显示IR图像(左右两侧,但目前仅聚焦于其中一个)。
import pyrealsense2 as rs
import numpy as np
import cv2
# We want the points object to be persistent so we can display the
#last cloud when a frame drops
points = rs.points()
# Create a pipeline
pipeline = rs.pipeline()
#Create a config and configure the pipeline to stream
config = rs.config()
config.enable_stream(rs.stream.infrared, 1, 1280, 720, rs.format.y8, 30)
# Start streaming
profile = pipeline.start(config)
# Streaming loop
try:
while True:
# Get frameset of color and depth
frames = pipeline.wait_for_frames()
ir1_frame = frames.get_infrared_frame(1) # Left IR Camera, it allows 1, 2 or no input
image = np.asanyarray(ir1_frame)
cv2.namedWindow('IR Example', cv2.WINDOW_AUTOSIZE)
cv2.imshow('IR Example', image)
key = cv2.waitKey(1)
# Press esc or 'q' to close the image window
if key & 0xFF == ord('q') or key == 27:
cv2.destroyAllWindows()
break
finally:
pipeline.stop()
一切正常,直到结束:
cv2.imshow('IR Example', image)
我得到了错误:
TypeError:不支持mat数据类型= 17
我找到了此链接: TypeError: src data type = 17 is not supported
但是我仍然不知道如何显示我的图像。 有人有想法吗?请分享,我是opencv的新手。
image.shape = ()
image.dtype = dtype('O')
欢呼
答案 0 :(得分:2)
您需要调用public class BusRoutes {
public static void main(String[] args) {
String[][] routeDetails = getBusRoutesFromUser();
determineNextAction(routeDetails);
}
public static void getBusRoutesFromUser() {
Scanner sc = new Scanner(System.in);
System.out.println("How many bus routes are there");
int routes = sc.nextInt();
String[][] routeDetails = new String[routes][4];
for (int i = 0; i < routes; i++) {
System.out.println("Please enter the bus route");
System.out.println("What is the bus route");
routeDetails[i][0] = sc.nextLine();
System.out.println("Start Location");
routeDetails[i][1] = sc.nextLine();
System.out.println("End Location");
routeDetails[i][2] = sc.nextLine();
System.out.println("Who is the driver for bus route " + routeDetails[i][0]);
routeDetails[i][3] = sc.nextLine();
}
return routeDetails;
}
public static void determineNextAction(String[][] routeDetails) {
// Use routeDetails array here...
}
}
才能从框架中获取图像。
get_data()