python调用IntelrealsenseD415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 colorframes = 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 datadepth_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(&＃39;RealSense&＃39;, cv2.WINDOW_AUTOSIZE)cv2.imshow(&＃39;RealSense&＃39;, images)key = cv2.waitKey(1）if key & 0xFF == ord(&＃39;q&＃39;) or key == 27:cv2.destroyAllWindows()breakfinally:# Stop streamingpipeline.stop()

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参考链接：https://blog.csdn.net/cherry_yu08/article/details/83279851