from image_pipeline import Rectifier, StereoModelLoader, DepthRegister, CameraModelToCv, CV_INTER_NN
from ecto_openni import OpenNICapture, DEPTH_RGB, DEPTH_IR, RGB, IR, IRGamma, enumerate_devices
from ecto_object_recognition.conversion import MatToPointCloudXYZRGB
from ecto_pcl import PointCloudT2PointCloud, CloudViewer, XYZRGB

openni_reg = True
print enumerate_devices()

capture = OpenNICapture('Camera',
                        stream_mode=DEPTH_RGB,
                        registration=openni_reg,
                        latched=False)
depthTo3d = DepthTo3d('Depth ~> 3d')
to_xyzrgb = MatToPointCloudXYZRGB('OpenCV ~> PCL')
pcl_cloud = PointCloudT2PointCloud('conversion', format=XYZRGB)
cloud_viewer = CloudViewer('Cloud Display')

plasm = ecto.Plasm()
plasm.connect(capture['K'] >> depthTo3d['K'],
              capture['image'] >> imshow('Image Display')[:],
              capture['depth'] >> depthTo3d['depth'],
              depthTo3d['points3d'] >> to_xyzrgb['points'],
              capture['image'] >> to_xyzrgb['image'],
              to_xyzrgb[:] >> pcl_cloud[:], pcl_cloud[:] >> cloud_viewer[:])

if __name__ == '__main__':
    from ecto.opts import doit
    doit(plasm,
         description='Capture Kinect depth and RGB and register them.',
         locals=vars())
Ejemplo n.º 2
0
    reg_depth = DepthRegister()

    plasm.connect(
        capture['image'] >> rect_rgb['image'],
        stereo_model['left_model'] >> rect_rgb['camera'],
        capture['depth'] >> rect_depth['image'],
        stereo_model['right_model'] >> rect_depth['camera'],
        # hook up the registration
        stereo_model['stereo_model'] >> reg_depth['rgbd_model'],
        rect_depth['image'] >> reg_depth['image'])

camera_converter = CameraModelToCv()
depthTo3d = DepthTo3d()
to_xyzrgb = MatToPointCloudXYZRGB()
pcl_cloud = PointCloudT2PointCloud(format=XYZRGB)
cloud_viewer = CloudViewer()

if not openni_reg:
    plasm.connect(stereo_model['left_model'] >> camera_converter['camera'],
                  camera_converter['Kp'] >> depthTo3d['K'],
                  reg_depth['image'] >> depthTo3d['depth'],
                  depthTo3d['points3d'] >> to_xyzrgb['points'],
                  rect_rgb['image'] >> to_xyzrgb['image'],
                  to_xyzrgb[:] >> pcl_cloud[:],
                  pcl_cloud[:] >> cloud_viewer[:])
else:
    plasm.connect(stereo_model['left_model'] >> camera_converter['camera'],
                  camera_converter['K'] >> depthTo3d['K'],
                  capture['depth'] >> depthTo3d['depth'],
                  depthTo3d['points3d'] >> to_xyzrgb['points'],
                  capture['image'] >> to_xyzrgb['image'],