Comments (2)
Since your submission terminates without any results I'd guess something is breaking on startup - maybe some compatibility error.
Try editing the dockerfile to more closely match the current
leaderboard repo, in particular the path to the python egg
I would give this a try and resubmit, and if it still fails, try contacting someone on the CARLA discord https://discord.com/invite/vNVHXfb since this will be extremely difficult to debug without knowing error messages
from 2020_carla_challenge.
Thank you very much.
When I inquired about alphadrive, there was no reply, so I couldn't solve the problem for about 2 weeks, but thank you for your reply.
I fixed the problem by fixing the Dockerfile.
I think the problem is caused by the python egg path not being updated, as you mentioned.
Below is the Dockerfile I used to create a working Docker image.
As we progress further, if we find out exactly what the problem was, we'll update it here.
I will close this issue.
thank you.
FROM nvidia/cuda:9.0-cudnn7-devel-ubuntu16.04
ARG HTTP_PROXY
ARG HTTPS_PROXY
ARG http_proxy
RUN apt-get update && apt-get install --reinstall -y locales && locale-gen en_US.UTF-8
ENV LANG en_US.UTF-8
ENV LANGUAGE en_US
ENV LC_ALL en_US.UTF-8
RUN apt-get update && apt-get install -y --no-install-recommends \
build-essential \
cmake \
git \
curl \
vim \
ca-certificates \
libjpeg-dev \
libpng16-16 \
libtiff5 \
libpng-dev \
python-dev \
python3.5 \
python3.5-dev \
python-networkx \
python-setuptools \
python3-setuptools \
python-pip \
python3-pip && \
pip install --upgrade "pip < 21.0" && \
pip3 install --upgrade "pip < 21.0" && \
rm -rf /var/lib/apt/lists/*
# installing conda
RUN curl -o ~/miniconda.sh -LO https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh && \
chmod +x ~/miniconda.sh && \
~/miniconda.sh -b -p /opt/conda && \
rm ~/miniconda.sh && \
/opt/conda/bin/conda clean -ya && \
/opt/conda/bin/conda create -n python37 python=3.7 numpy networkx scipy six requests
RUN packages='py_trees==0.8.3 shapely six dictor requests ephem tabulate' \
&& pip3 install ${packages}
WORKDIR /workspace
COPY .tmp/PythonAPI /workspace/CARLA/PythonAPI
ENV CARLA_ROOT /workspace/CARLA
ENV PATH "/workspace/CARLA/PythonAPI/carla/dist/carla-leaderboard-py3x.egg":/opt/conda/envs/python37/bin:/opt/conda/envs/bin:$PATH
# adding CARLA egg to default python environment
RUN pip install --user setuptools py_trees==0.8.3 psutil shapely six dictor requests ephem tabulate
ENV SCENARIO_RUNNER_ROOT "/workspace/scenario_runner"
ENV LEADERBOARD_ROOT "/workspace/leaderboard"
ENV TEAM_CODE_ROOT "/workspace/team_code"
ENV PYTHONPATH "/workspace/CARLA/PythonAPI/carla/dist/carla-leaderboard-py3x.egg":"${SCENARIO_RUNNER_ROOT}":"${CARLA_ROOT}/PythonAPI/carla":"${LEADERBOARD_ROOT}":${PYTHONPATH}
COPY .tmp/scenario_runner ${SCENARIO_RUNNER_ROOT}
COPY .tmp/leaderboard ${LEADERBOARD_ROOT}
COPY .tmp/team_code ${TEAM_CODE_ROOT}
RUN mkdir -p /workspace/results
RUN chmod +x /workspace/leaderboard/scripts/run_evaluation.sh
########################################################################################################################
########################################################################################################################
############ BEGINNING OF USER COMMANDS ############
########################################################################################################################
########################################################################################################################
ENV TEAM_AGENT ${TEAM_CODE_ROOT}/npc_agent.py
ENV TEAM_CONFIG ${TEAM_CODE_ROOT}/YOUR_CONFIG_FILE
COPY .tmp/carla_project /workspace/carla_project
ENV PYTHONPATH "/workspace/CARLA/PythonAPI/carla/dist/carla-leaderboard-py3x.egg":${PYTHONPATH}
ENV PYTHONPATH "/workspace/":${PYTHONPATH}
ENV TEAM_AGENT /workspace/team_code/image_agent.py
ENV TEAM_CONFIG /workspace/team_code/model.ckpt
ENV CHALLENGE_TRACK_CODENAME SENSORS
RUN apt-get update && apt-get install -y --no-install-recommends \
libgtk2.0-dev
ENV PATH="/opt/conda/bin:${PATH}"
RUN /opt/conda/envs/python37/bin/pip install -r /workspace/carla_project/requirements.txt
RUN /opt/conda/bin/conda install -c anaconda libgcc=7.2.0
RUN /opt/conda/bin/conda init bash
RUN cp /opt/conda/lib/libstdc++.so.6.0.28 /usr/lib/x86_64-linux-gnu/libstdc++.so.6
ENV CONDA_DEFAULT_ENV python37
ENV PATH /opt/conda/envs/python37/bin:$PATH
RUN /opt/conda/envs/python37/bin/pip install tabulate ephem
########################################################################################################################
########################################################################################################################
############ END OF USER COMMANDS ############
########################################################################################################################
########################################################################################################################
ENV SCENARIOS ${LEADERBOARD_ROOT}/data/all_towns_traffic_scenarios_public.json
ENV ROUTES ${LEADERBOARD_ROOT}/data/routes_training.xml
ENV REPETITIONS 1
ENV CHECKPOINT_ENDPOINT /workspace/results/results.json
ENV DEBUG_CHALLENGE 0
ENV HTTP_PROXY ""
ENV HTTPS_PROXY ""
ENV http_proxy ""
ENV https_proxy ""
CMD ["/bin/bash"]
from 2020_carla_challenge.
Related Issues (20)
- Updated image model weights for CARLA 0.9.10 HOT 6
- Map not found Error while running a docker file in local machine
- Generation of Routes and Scenarios HOT 1
- Plotting image waypoints from the BEV perspective
- Is the data collected in map view? HOT 2
- Segmentation model weights? HOT 2
- route_19.xml, route_15, route_10 does not work HOT 7
- Not able to train STAGE_1 HOT 5
- The performance is not as good as LBC
- Does map model training use data augmentations?
- CoordConverter HOT 2
- Results of running a pretrained model is FAILURE HOT 2
- Where can I download the teacher model HOT 1
- about sensormotor agent HOT 1
- the trained time took HOT 1
- Trying to update to work with CARLA 0.9.13 HOT 3
- cannot find image_agent.py HOT 2
- Pretrained Model Failed All with AgentBlocked
- About Converter world <--> cam conversion hack HOT 1
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from 2020_carla_challenge.