如何用Python打开realsenseD435相机并获取相机参数

D435相机正面有四个圆孔，如下图所示，从左向右，第一和第三个是红外传感器（IR Stereo Cameral）；第二个是红外激光发射器（IR Projector），第四个是彩色相机（色彩传感器）。

如何用Python打开realsenseD435相机

import pyrealsense2 as rs
import numpy as np
import cv2

if __name__ == "__main__":
    # Configure depth and color streams
    pipeline = rs.pipeline()
    config = rs.config()
    config.enable_device_from_file("666.bag")#这是打开相机录制的视频
  #  config.enable_stream(rs.stream.depth, 640, 480, rs.format.z16, 30)这是打开相机
    #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
            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)
            depth_colormap = cv2.applyColorMap(cv2.convertScaleAbs(depth_image, alpha=0.03), cv2.COLORMAP_JET)

            # Stack both images horizontally
            images = np.hstack((color_image, depth_colormap))
            # Show images
            cv2.namedWindow('RealSense', cv2.WINDOW_AUTOSIZE)
            cv2.imshow('RealSense', images)
            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:
        # Stop streaming
        pipeline.stop()

如何用Python获取深度相机参数

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)

pipeline.start(config)

# 创建对齐对象（深度对齐颜色）
align = rs.align(rs.stream.color)

try:
    while True:
        frames = pipeline.wait_for_frames()

        # 获取对齐帧集
        aligned_frames = align.process(frames)

        # 获取对齐后的深度帧和彩色帧
        aligned_depth_frame = aligned_frames.get_depth_frame()
        color_frame = aligned_frames.get_color_frame()

        # 获取颜色帧内参
        color_profile = color_frame.get_profile()
        cvsprofile = rs.video_stream_profile(color_profile)
        color_intrin = cvsprofile.get_intrinsics()
        color_intrin_part = [color_intrin.ppx, color_intrin.ppy, color_intrin.fx, color_intrin.fy]
        print(color_intrin_part)
        # [318.48199462890625, 241.16720581054688, 616.5906372070312, 616.7650146484375]

        if not aligned_depth_frame or not color_frame:
            continue


finally:
  pipeline.stop()