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Update Docker configurations and dependencies for Jetson deployment

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- Added image specifications for services in `docker-compose.demo-jetson.yml` and `docker-compose.jetson.yml` to streamline deployment.
- Updated `Dockerfile.gpu` to use the development version of the CUDA runtime for enhanced compatibility.
- Modified `Dockerfile.jetson` to switch to a newer JetPack base image and adjusted the requirements file to include additional dependencies for improved functionality.
- Removed obsolete deployment scripts and calibration cache generation script to clean up the project structure.

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Oleksandr Bezdieniezhnykh
2026-04-06 05:00:08 +03:00
parent 8116b55813
commit 26900d0aee
10 changed files with 103 additions and 154 deletions
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Dockerfile.jetson
+2 -5
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@@ -1,17 +1,14 @@
FROM nvcr.io/nvidia/l4t-base:r36.3.0
FROM nvcr.io/nvidia/l4t-jetpack:r36.2.0
RUN apt-get update && apt-get install -y \
python3 python3-pip python3-dev gcc \
libgl1 libglib2.0-0 \
python3-libnvinfer python3-libnvinfer-dev \
python3-pycuda \
&& rm -rf /var/lib/apt/lists/*
RUN python3 -c "import tensorrt" || \
(echo "TensorRT Python bindings not found; check PYTHONPATH for JetPack installation" && exit 1)
WORKDIR /app
COPY requirements-jetson.txt ./
COPY requirements.txt requirements-jetson.txt ./
RUN pip3 install --no-cache-dir -r requirements-jetson.txt
COPY . .
RUN python3 setup.py build_ext --inplace