唯一的不同是我们使用create_rgbd_image_from_sun_format转换函数来从SUN数据集解析深度图像。 print("Read SUN dataset")color_raw = o3d.io.read_image("../../TestData/RGBD/other_formats/SUN_color.jpg")depth_raw = o3d.io.read_image("../../TestData/RGBD/other_formats/SUN_depth.png")rgbd...
cv::IMREAD_COLOR);cv::Mat depth=cv::imread("/home/nvidia/wali_ws/src/stereo/img/depth.png",cv::IMREAD_ANYDEPTH);// headerstd_msgs::Header header;// not necessaryheader.frame_id="/stereo/rgbd/image";// detailed header
() depth_stream = depth_device.create_depth_stream() depth_stream.start() depth_stream.set_video_mode( _openni2.OniVideoMode(pixelFormat=_openni2.OniPixelFormat.ONI_PIXEL_FORMAT_DEPTH_1_MM, resolutionX=640, resolutionY=480, fps=5)) depth_device.set_image_registration_mode(openni2.IMAGE_...
filename = cv::format("%s/raw/amplitude.png", frame_dir.c_str());if(image.rawAmplitude().data) imwrite_normalized(filename.c_str(), image.rawAmplitude()); filename = cv::format("%s/amplitude.png", frame_dir.c_str());if(image.amplitude().data) imwrite_normalized(filename.c_str(...
还需要使用一个额外的辅助函数read_nyu_pgm来从 NYU数据集使用的特殊大端模式(special big endian) pgm格式的数据中读取深度图像。其次我们使用create_rgbd_image_from_nyu_format转换函数来从NYU数据集中解析深度图。 代码语言:javascript 复制 importmatplotlib.imageasmpimgimportre...
I'm trying to create a point cloud from a mesh. I haven't had any success. The compiler complains at the lineactor = o3d.geometry.PointCloud.create_from_rgbd_image(rgbd, cam)with the following error:[CreatePointCloudFromRGBDImage] Unsupported image format. ...
()depth_stream=depth_device.create_depth_stream()depth_stream.start()depth_stream.set_video_mode(_openni2.OniVideoMode(pixelFormat=_openni2.OniPixelFormat.ONI_PIXEL_FORMAT_DEPTH_1_MM,resolutionX=640,resolutionY=480,fps=5))depth_device.set_image_registration_mode(openni2.IMAGE_REGISTRATION_...
t = "sun_{}".format(meta.rgbname) dstname = osp.join(imagepath, t) shutil.copy(srcname, dstname) rgbimg = Image.open(srcname) # labelimage label = np.array( SUNRGBD2Dseg[seglabel[i][0]][:].transpose(1, 0)).\ astype(np.uint8) ...
ntk_dbg_print(p,1);floatkinect_raw = image.mappedDepth()(p.y, p.x); ntk_dbg_print(kinect_raw,1);if(kinect_raw <1e-5)continue;floaterr = kinect_raw-p.z; cv::putText(debug_img, format("%d", (int)(err*1000)), Point(p.x, p.y), CV_FONT_NORMAL,0.4, Scalar(255,0,0)...
Dataset format details <category_name>/scenes/scenes_<scene_id>/depth/: We store depths in the depth scale of 1000. That is, when we load depth image and divide by 1000, we could get depth in meters. <category_name>/scenes/scenes_<scene_id>/metadata: It stores the camera intrinsics ...