Open liuqf0425 opened 3 years ago
您好,请问源代码中是否也使用了大陆毫米波雷达作为融合呢, 因为看到大面积的代码被注释掉了。 有一些疑惑, 时候使用雷达融合时候存在问题,多谢。 void PerceptionYX::processRadarData(const apollo_perception_standalone::ContiRadar &msg) {
For this error: Check failed: error == cudaSuccess (8 vs. 0) invalid device function
, is caused by the RTX2060.
The docker's caffe lib does not support RTX2060. But 1070, 1080 and 1080ti will be OK.
Thank you for this project, it really helps. When running the node, an error would always occurred. The GPU device on My host machine is NVIDIA RTX2060 , and driver version is 460.73.01, UBUNTU 18.04.
please check:
auto-starting new master process[master]: started with pid [16304] ROS_MASTER_URI=http://localhost:11311
setting /run_id to a6e39dce-c457-11eb-84b4-3c9c0fb840d4 process[rosout-1]: started with pid [16317] started core service [/rosout] process[perception_yx_node-2]: started with pid [16334] process[robot_state_publisher-3]: started with pid [16343] process[joint_state_publisher-4]: started with pid [16344] WARNING: Logging before InitGoogleLogging() is written to STDERR W0603 10:37:11.385072 16334 perception_yx.cpp:51] Sensor Lidar: Enabled, Logging: False W0603 10:37:11.385154 16334 perception_yx.cpp:55] Sensor Radar: Disabled, Logging: False W0603 10:37:11.385161 16334 perception_yx.cpp:59] Sensor Camera Long: Enabled, Logging: True W0603 10:37:11.385167 16334 perception_yx.cpp:63] Sensor Camera Short: Enabled, Logging: True W0603 10:37:11.385174 16334 perception_yx.cpp:67] Fusion, Logging: True W0603 10:37:11.385179 16334 perception_yx.cpp:69] Image Resize Factor: 1 W0603 10:37:11.390164 16334 perception_yx.cpp:83] Parse camera calibration : success process[rviz-5]: started with pid [16406] ..... ..... Warning: TF_OLD_DATA ignoring data from the past for frame novatel at time 1.51381e+09 according to authority unknown_publisher Possible reasons are listed at http://wiki.ros.org/tf/Errors%20explained at line 277 in /tmp/binarydeb/ros-indigo-tf2-0.5.20/src/buffer_core.cpp F0603 10:33:18.607558 15890 permute_layer.cu:47] Check failed: error == cudaSuccess (8 vs. 0) invalid device function Check failure stack trace: