python 调用 Intel realsense D415摄像头

1、搭建python3开发环境(wind10 )

安装Intel.RealSense.SDK.exe后,在安装目录…/Intel RealSense SDK 2.0/bin/x64目录下有两个.pyd文件,根据文件名可以知道,其中一个对应python2.7版本,另一个对应python3.6。将python3.6对应的.pyd文件复制到python环境的site-packages目录下,我的目录是…/Anaconda3/envs/ycc01/Lib/site-packages。即可完成环境搭建。

2、显示深度图与彩色图

import pyrealsense2 as rs
import numpy as np
import cv2
 
# Configure depth and color streams
pipeline = rs.pipeline()
config = rs.config()
config.enable_stream(rs.stream.depth, 640, 480, rs.format.z16, 30)
config.enable_stream(rs.stream.color, 640, 480, rs.format.bgr8, 30)
 
# Start streaming
pipeline.start(config)
 
try:
    while True:
 
        # Wait for a coherent pair of frames: depth and color
        frames = pipeline.wait_for_frames()
        
        depth_frame = frames.get_depth_frame()
        color_frame = frames.get_color_frame()
       
        if not depth_frame or not color_frame:
            continue
 
        # Convert images to numpy arrays 把图像转换为numpy data
        depth_image = np.asanyarray(depth_frame.get_data())
        color_image = np.asanyarray(color_frame.get_data())
        
        # Apply colormap on depth image (image must be converted to 8-bit per pixel first) 在深度图上用颜色渲染
        depth_colormap = cv2.applyColorMap(cv2.convertScaleAbs(depth_image, alpha=0.03), cv2.COLORMAP_JET)
       
        # Stack both images horizontally 把两个图片水平拼在一起
        images = np.hstack((color_image, depth_colormap))

        cv2.namedWindow('RealSense', cv2.WINDOW_AUTOSIZE)
        cv2.imshow('RealSense', images)
 
        key = cv2.waitKey(1)
        if key & 0xFF == ord('q') or key == 27:
            cv2.destroyAllWindows()
            break
 
 
finally:
 
    # Stop streaming
    pipeline.stop()

python 调用 Intel realsense D415摄像头_第1张图片

欢迎留言交流
参考链接:https://blog.csdn.net/cherry_yu08/article/details/83279851 

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