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@@ -2,23 +2,24 @@ Installation
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1. Flash the Jetson TX2 using JetPack 3.2. Be sure to install
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1. Flash the Jetson TX2 using JetPack 3.2. Be sure to install
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- * CUDA 9.0
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- * OpenCV4Tegra
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- * cuDNN
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- * TensorRT 3.0
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+ * CUDA 9.0
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+ * OpenCV4Tegra
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+ * cuDNN
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+ * TensorRT 3.0
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2. Install TensorFlow on Jetson TX2.
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2. Install TensorFlow on Jetson TX2.
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- 1. Download TensorFlow 1.5.0 / CUDA 9 / cuDNN 7 pip wheel from [here](https://drive.google.com/open?id=1BNOaSdfd6YyitTa4DLD7j4L45-Duo2LR).
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- 2. Install TensorFlow using pip
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+ 1. Download TensorFlow 1.5.0 / CUDA 9 / cuDNN 7 pip wheel from [here](https://drive.google.com/open?id=1BNOaSdfd6YyitTa4DLD7j4L45-Duo2LR).
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+ 2. Install TensorFlow using pip
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+
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sudo pip install tensorflow-1.5.0rc0-cp27-cp27mu-linux_aarch64.whl
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sudo pip install tensorflow-1.5.0rc0-cp27-cp27mu-linux_aarch64.whl
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3. Install uff converter on Jetson TX2.
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3. Install uff converter on Jetson TX2.
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- 1. Download TensorRT 3.0.4 for Ubuntu 16.04 and CUDA 9.0 tar package from https://developer.nvidia.com/nvidia-tensorrt-download.
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- 2. Extract archive
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+ 1. Download TensorRT 3.0.4 for Ubuntu 16.04 and CUDA 9.0 tar package from https://developer.nvidia.com/nvidia-tensorrt-download.
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+ 2. Extract archive
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tar -xzf TensorRT-3.0.4.Ubuntu-16.04.3.x86_64.cuda-9.0.cudnn7.0.tar.gz
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tar -xzf TensorRT-3.0.4.Ubuntu-16.04.3.x86_64.cuda-9.0.cudnn7.0.tar.gz
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- 3. Install uff python package using pip
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+ 3. Install uff python package using pip
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sudo pip install TensorRT-3.0.4/uff/uff-0.2.0-py2.py3-none-any.whl
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sudo pip install TensorRT-3.0.4/uff/uff-0.2.0-py2.py3-none-any.whl
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