I am trying to SSH from another machine to start a Python script, which starts a UI vision script. However, I get errors with GPU and video. However, if I ssh and sodu as root and run it, it runs correctly. What permissions am I missing for the user that I am using to ssh with? Below are the errors I am receiving.
[9031:9031:0321/121811.991677: ERROR:viz_main_impl.cc(183)] Exiting GPU process due to errors during initialization
[9081:11:0321/121812.991480: ERROR: command_buffer_proxy_impl.cc(125)] ContextResult::kTransient Failure: Failed to send GpuControl.CreateCommandBuffer. [9059: 7:0321/121813.000355: ERROR: command_buffer_proxy_impl.cc(125)] ContextResult::kTransient Failure: Failed to send GpuControl.CreateCommandBuffer. [9251:9251:0321/121813.068046: ERROR:gl_utils.cc(431)] [.WebGL - 0xcc000dc700] GL Driver Message (OpenGL, Performance, GL_CLOSE_PATH_NV, High): GPU stall due to ReadPixels [9251:9251:0321/121813.126588: ERROR:gl_utils.cc(431)] [.WebGL - 0xcc000dc700] GL Driver Message (OpenGL, Performance, GL_CLOSE_PATH_NV, High): GPU stall due to ReadPixels [9251:9251:0321/121813.157885: ERROR: gl_utils.cc(431)] [.WebGL - 0xcc000dc700] GL Driver Message (OpenGL, Performance, GL_CLOSE_PATH_NV, High): GPU stall due to ReadPixels Created TensorFlow Lite XNNPACK delegate for CPU.
Attempting to use a delegate that only supports static-sized tensors with a graph that has dynamic-sized tensors (tensor#-1 is a dynamic-sized tensor).