![]() This directory contains all images used for training the steeringmodels. ColorConverter is also part of matplotlib, but that doesn't help.Problems seems to be that my python3 is v3.6.9, while the egg file is for v3.5.This installed three packages, but not ColorConverter. Without root-permission I couldn't use the easyinstall (note that python3 complains that it cannot find CARLA egg file), instead used pip3 install -U -r ~/AutonomousDriving/CARLA/PythonAPI/carla/requirements.txt. Next the import fails on ColorConverter, which is a known issue. Adding the PythonAPI to PYTHONPATH helps. I had Carla already installed in ~/AutonomousDriving/CARLA/.Tried python3 main.py -benchmark -synchronous -fps 24-weights weights/ -config benchmark_config_v1.json Town02, but this fails on import carla.Also update-metadata (as suggested in the documentation) doesn't work. With python2.7 I couldn't add a name to upload command.The epoch_val_loss reached its minimum value after 30k training. It seems that the training converged nicely after 10 epochs / 15k trainings. That works, I could inspect logfile with more detail.Maybe I should also upload them to TensorBoard Dev to inspect them. Could not scroll to the output in tmux.The last tree epochs the val_loss didn't improve anymore (converged to a value of 0.36897). Still, got Failed to find CARLA directory, followed by hanging on INFO: listening to server 127.0.0.1:2000 December 21, 2020 With the egg unpacked the benchmark starts. Switched back to MCAS (python3.7) environment.After that still from import load_model failed (also after installing pip install keras=2.4.3). For tensorflow version 2.3.0 was required, while python3.5 had only 1.14.0. Some packages were missing, so installed pip install pygame=1.9.6.Had to remove some python3.7 specific print statements. Unzipped the egg file (in /tmp and copied the /tmp/carla contents into ~/AutonomousDriving/CARLA/PythonAPI/carla. Within a the 'empty' MCAS35 environment, still the CARLA egg could be read (while python version was 3.5.5).First tried it by modifying the given MCAS.yml, but that gave too many conflicts. Created an 'empty' conda-environment for python3.5.Installed Anaconda3-2020 and created the MCAS from the new MCAS.yml file.Tried some of the tricks suggested in the forum, but to no avail.CarlaUE4.sh fails on warning: Not allowed to force software rendering when API explicitly selects a hardware device. The command python3 main.py -benchmark -synchronous -fps 24 -weights weights/ -config benchmark_config_v1.json Town02 starts nicely, but waits on a CARLA simulation to start.Code assumes that the CARLA directory is installed next to the code, so I made a symbolic link in my ~/git to the latest CARLA directory (the egg-file is loaded in multiple *.py files. The code now nicely complains when it cannot find the correct egg file.Tested Thomas van Orden's code with Carla 0.9.9.NVIDIA Prime Render Offload configuration and utilitiesġ2 extra/nvidia-open-dkms 520.56.06-10 (5.4 MiB 46.9 MiB)ġ1 extra/nvidia-open 520.56.06-10 (3.1 MiB 3.2 MiB)ġ0 extra/nvidia-lts 1:520.56.06-9 (41.2 MiB 41.2 MiB)ĩ extra/nvidia-dkms 520.56.06-2 (41.8 MiB 67.2 MiB)Ĩ extra/nvidia 520.56.06-11 (42.0 MiB 42.0 MiB) (Installed)ħ extra/libxnvctrl 520.56.06-1 (76.1 KiB 455.6 KiB) (Installed)Ħ extra/libvdpau 1.5-1 (63.3 KiB 288.0 KiB) (Installed)ĥ extra/ffnvcodec-headers 11.1.5.2-1 (61.0 KiB 368.9 KiB)įFmpeg version of headers required to interface with Nvidias codec APIsĤ extra/egl-wayland 2:1.1.11-2 (31.1 KiB 85.3 KiB) (Installed)ĮGLStream-based Wayland external platformģ endeavouros/nvidia-installer-common 1.4-3 (15.7 KiB 7.7 KiB) (Installed)Ĭommon scripts for nvidia-installer-dkms and nvidia-instĢ endeavouros/nvidia-inst 1.4-4 (19.1 KiB 20.As my research concentrates on the perception part of Robotics, my research is in the Informatics Institute part of the Computer Vision group. Tool for configuring the NVIDIA graphics driverġ3 extra/nvidia-prime 1.0-4 (2.8 KiB 112.0 B) (Installed) :: Do you want to skip the above package for this upgrade? ^C 15 extra/nvidia-utils 520.56.06-2 (254.4 MiB 626.2 MiB) (Installed)ġ4 extra/nvidia-settings 520.56.06-1 (787.5 KiB 1.6 MiB) (Installed) ![]() ![]() :: The following package cannot be upgraded due to unresolvable dependencies: Warning: cannot resolve “nvidia-utils=515.65.01”, a dependency of “nvidia” do i need to downgrade all of them? when i try to downgrade nvidia it says the following. I have 3 nvidia packages that says the nvidia driver number 5.20. IMO this is the first thing you should try. You can downgrade nvidia drivers with downgrade (in AUR) or install a specific driver (including betas like 525) via nvidia-all.
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