nvidia gstreamer jetson

i upgraded everything to 32.4.4 but ‘gst-inspect-1.0 nvvidconv’ still results in a segmentation error

.......lots of plugin properties
  bl-output           : Blocklinear output, applicable only for memory:NVMM NV12 format output buffer
                        flags: readable, writable
                        Boolean. Default: true
Segmentation fault (core dumped)

  bottom              : Pixels to crop at bottom
                        flags: readable, writable
                        Integer. Range: 0 - 2147483647 Default: 0 
  bl-output           : Blocklinear output, applicable only for memory:NVMM NV12 format output buffer
                        flags: readable, writable
                        Boolean. Default: true
Segmentation fault (core dumped)

i did notice that the error is only related to nvvidconv. the hardware accelerated decoder for example seems to work fine ‘gst-inspect-1.0 nvv4l2decoder’

am i wrong to assume that the docker would be able to run on a regular jetson nano(no balena OS)?

latest dockerfile:

FROM  balenalib/jetson-nano-ubuntu:bionic  

ENV BSP Jetson-210_Linux_R32.4.4_aarch64.tbz2
# ENV BSP Tegra210_Linux_R32.4.4_aarch64.tbz2
COPY ./${BSP} .

RUN echo 'install L4T BPS binaries' &&\
    apt-get update && \
    apt-get install -y wget tar lbzip2 python3 libegl1 && \
    tar xf ${BSP} && \
    cd Linux_for_Tegra &&\
    sed -i 's/config.tbz2\"/config.tbz2\" --exclude=etc\/hosts --exclude=etc\/hostname/g' apply_binaries.sh && \
    sed -i 's/install --owner=root --group=root \"${QEMU_BIN}\" \"${L4T_ROOTFS_DIR}\/usr\/bin\/\"/#install --owner=root --group=root \"${QEMU_BIN}\" \"${L4T_ROOTFS_DIR}\/usr\/bin\/\"/g' nv_tegra/nv-apply-debs.sh && \
    sed -i 's/LC_ALL=C chroot . mount -t proc none \/proc/ /g' nv_tegra/nv-apply-debs.sh && \
    sed -i 's/umount ${L4T_ROOTFS_DIR}\/proc/ /g' nv_tegra/nv-apply-debs.sh && \
    sed -i 's/chroot . \//  /g' nv_tegra/nv-apply-debs.sh && \
    ./apply_binaries.sh -r / --target-overlay && cd .. && \
    rm -rf ${BSP} && \
    rm -rf Linux_for_Tegra && \
    echo "/usr/lib/aarch64-linux-gnu/tegra" > /etc/ld.so.conf.d/nvidia-tegra.conf && \
    echo "/usr/lib/aarch64-linux-gnu/tegra-egl" > /etc/ld.so.conf.d/nvidia-tegra-egl.conf && \
    echo "${CUDA_HOME}/targets/aarch64-linux/lib" > /etc/ld.so.conf.d/cuda-10-2.conf && \
    ldconfig

RUN echo 'upgrading apt-sources' &&\ 
    sed -i 's/r32 main/r32.4 main/g' /etc/apt/sources.list.d/nvidia.list &&\
    apt-get update &&\
    apt-get install -y nvidia-l4t-core \
    nvidia-l4t-cuda \
    nvidia-l4t-gstreamer \
    nvidia-l4t-firmware \
    nvidia-l4t-multimedia-utils \
    nvidia-l4t-multimedia \
    nvidia-l4t-gstreamer \
    ldconfig