Hi, I just started playing around with the Nvidia Container Runtime on Jetson, and the l4t-base image. I currently have some applications written in Python that require OpenCV, pyCuda and TensorRT. I am trying to understand the best method for making them work inside the container. I understand th…

I wish I had access to my computer to provide you a better description of steps I followed. I tried the same steps you mentioned above and I ran into the same problems, I would recommend you try mounting the libraries instead of installing them in the container. One of the great advantages of mounti…

Hi, You can achieve this by coping the package and install it. COPY ./libnvinfer5_5.1.6-1+cuda10.0_arm64.deb /tmp/libnvinfer5_5.1.6-1+cuda10.0_arm64.deb RUN dpkg -i ./libnvinfer5_5.1.6-1+cuda10.0_arm64.deb ... Thanks.

I just tried to copy the package and build the image, but I get the following error: Dockerfile: FROM nvcr.io/nvidia/l4t-base:r32.2 COPY ./libnvinfer5_5.1.6-1+cuda10.0_arm64.deb /tmp/libnvinfer5_5.1.6-1+cuda10.0_arm64.deb RUN dpkg -i /tmp/libnvinfer5_5.1.6-1+cuda10.0_arm64.deb build command: do…

Hi, There are plenty of dependencies among this. It looks like the default container only with CUDA toolkit. You will need to install cuDNN, TensorRT, TensorRT python package on your own. Thanks.

Hello alvaro.a.calvo, have u solved this problem?

Hi, I did find a solution that works for me. I am not able to post a detailed response right now, but basically you can mount the libraries using “plugin” method provided by the NVIDIA runtime. See the wiki below on how to create a plugin. https://github.com/NVIDIA/libnvidia-container/blob/jetson/…

OK, Thank u very much @alvaro.a.calvo . @AastaLLL The following is my try, but I failed. :( I copied all the deb file downloaded by the SDKManager, the following is my Installation attempt and output: Step 11/11 : RUN dpkg -i cuda-repo-l4t-10-0-local-10.0.326_1.0-1_arm64.deb && dpkg -i libcudn…

@alvaro.a.calvo Thank you very much. Your answer helped me understand how runtime = NVIDIA works, which has been bothering me for some time. I followed your guide, and see the tensorrt.csv file below: lib, /usr/lib/aarch64-linux-gnu/libnvinfer.so.5.1.6 lib, /usr/lib/aarch64-linux-gnu/libnvinfer_p…

If I remember correctly that should work, but I don’t have my computer to verify it right now. That should be enough to be able to call tensorRT from python inside the container. I also installed numpy and pyCuda inside the container during build, but you could try mounting them as well. If you run …

Ok, I have solved this problem by adding the csv file. Thank u a lot.

Docker image with python support for OpenCV, TensorRT and PyCuda

Robotics & Edge Computing Jetson Systems Jetson TX2

alvaro.a.calvo August 13, 2019, 1:03pm 3

Hi,

Thank you for the quick response. I was able to locate the package in my host computer in the cached SDK Manager downloads directory.

~/Downloads/nvidia/sdkm_downloads/libnvinfer5_5.1.6-1+cuda10.0_arm64.deb

Is there a way to download this package directly from the TX2? I tried a simple wget, but it seem to protected.

Thank you

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Docker image with python support for OpenCV, TensorRT and PyCuda

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