energy는 power에 대응되는것 같고, shadow_soft_size는 radius에 대응되는것 같다.
아 쫌 용어 통일하라고 ㅠㅠ api에 맞추던가 아니면 api를 ui에 맞추던가!
energy The energy this light would emit over its entire area if it wasn’t limited by the spot angle, in units of radiant power (W) (in [-inf, inf], default 10.0)
shadow_soft_size Light size for ray shadow sampling (Raytraced shadows) (in [0, inf], default 0.0)
spot_size Angular diameter of the spotlight beam (in [0.0174533, 3.14159], default 0.785398)
spot_blend The softness of the spotlight edge (in [0, 1], default 0.15)
CPU Rendering Being a rasterization engine, EEVEE only uses the power of the GPU to render. There is no plan to support CPU (software) rendering as it would be very inefficient. CPU power is still needed to handle high scene complexity as the geometry must be prepared by the CPU before rendering each frame.
$ ros2 launch kinect2_bridge kinect2_bridge_launch.yaml [INFO] [launch]: All log files can be found below /home/minimonk/.ros/log/2026-08-18-15-32-14-328668-minimonk-HP-EliteBook-2760p-7007 [INFO] [launch]: Default logging verbosity is set to INFO [INFO] [kinect2_bridge_node-1]: process started with pid [7008] [INFO] [point_cloud_xyzrgb_node-2]: process started with pid [7010] [kinect2_bridge_node-1] [INFO] [1787034734.508992751] [kinect2_bridge_node]: parameter: [kinect2_bridge_node-1] base_name: kinect2 [kinect2_bridge_node-1] sensor: default [kinect2_bridge_node-1] fps_limit: 30 [kinect2_bridge_node-1] calib_path: /home/minimonk/ros2_ws/src/kinect2_ros2/kinect2_bridge/data/ [kinect2_bridge_node-1] use_png: false [kinect2_bridge_node-1] jpeg_quality: 90 [kinect2_bridge_node-1] png_level: 1 [kinect2_bridge_node-1] depth_method: default [kinect2_bridge_node-1] depth_device: -1 [kinect2_bridge_node-1] reg_method: default [kinect2_bridge_node-1] reg_device: -1 [kinect2_bridge_node-1] max_depth: 12 [kinect2_bridge_node-1] min_depth: 0.1 [kinect2_bridge_node-1] queue_size: 5 [kinect2_bridge_node-1] bilateral_filter: true [kinect2_bridge_node-1] edge_aware_filter: true [kinect2_bridge_node-1] publish_tf: true [kinect2_bridge_node-1] base_name_tf: kinect2 [kinect2_bridge_node-1] worker_threads: 4 [kinect2_bridge_node-1] libva info: VA-API version 1.14.0 [kinect2_bridge_node-1] libva info: Trying to open /usr/lib/x86_64-linux-gnu/dri/iHD_drv_video.so [kinect2_bridge_node-1] libva info: Found init function __vaDriverInit_1_14 [kinect2_bridge_node-1] libva info: va_openDriver() returns 0 [kinect2_bridge_node-1] [INFO] [1787034735.139375282] [kinect2_bridge_node]: Kinect2 devices found: [kinect2_bridge_node-1] [INFO] [1787034735.139436224] [kinect2_bridge_node]: 0: 501441643042 (selected) [kinect2_bridge_node-1] [INFO] [1787034735.225374525] [kinect2_bridge_node]: starting kinect2 [kinect2_bridge_node-1] [INFO] [1787034735.540712973] [kinect2_bridge_node]: device serial: 501441643042 [kinect2_bridge_node-1] [INFO] [1787034735.540771176] [kinect2_bridge_node]: device firmware: 4.0.3911.0 [kinect2_bridge_node-1] [INFO] [1787034735.772433213] [kinect2_bridge_node]: Using CPU registration method! [kinect2_bridge_node-1] [INFO] [1787034735.772485273] [kinect2_bridge_node]: Using CPU registration method! [kinect2_bridge_node-1] [INFO] [1787034735.787628318] [kinect2_bridge_node]: waiting for clients to connect [kinect2_bridge_node-1] [INFO] [1787034736.781245426] [kinect2_bridge_node]: client connected. starting device... [kinect2_bridge_node-1] [INFO] [1787034740.153039579] [kinect2_bridge_node]: depth processing: ~614.366ms (~1.6277Hz) publishing rate: ~5.31568Hz [kinect2_bridge_node-1] [INFO] [1787034740.153092716] [kinect2_bridge_node]: color processing: ~4.92322ms (~203.119Hz) publishing rate: ~3.98676Hz [kinect2_bridge_node-1] [INFO] [1787034743.162903904] [kinect2_bridge_node]: depth processing: ~970.624ms (~1.03026Hz) publishing rate: ~3.98689Hz [kinect2_bridge_node-1] [INFO] [1787034743.162966773] [kinect2_bridge_node]: color processing: ~4.06577ms (~245.956Hz) publishing rate: ~3.98689Hz
흐음.. 되는게 없네. 비율이 왜이러냐..
cd ~/src/libfreenect2/build_cuda cmake .. -DENABLE_CUDA=ON -DCUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda -DCUDA_HOST_COMPILER=/usr/bin/gcc-10 -DENABLE_VAAPI=OFF make -j$(nproc) sudo make install