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@@ -62,13 +62,18 @@ for implementation details.
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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 pip on Jetson TX2.
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+ ```
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+ sudo apt-get install python-pip
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+ ```
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+
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+3. Install TensorFlow on Jetson TX2.
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1. Download the TensorFlow 1.5.0 pip wheel from [here](https://drive.google.com/open?id=1ZYUJqcFdJytdMCQ5bVDtb3KoTqc_cugG). This build of TensorFlow is provided as a convenience for the purposes of this project.
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2. Install TensorFlow using pip
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sudo pip install tensorflow-1.5.0rc0-cp27-cp27mu-linux_aarch64.whl
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-3. Install uff exporter on Jetson TX2.
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+4. Install uff exporter 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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@@ -78,7 +83,7 @@ for implementation details.
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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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-4. Clone and build this project
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+5. Clone and build this project
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```
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git clone --recursive https://github.com/NVIDIA-Jetson/tf_to_trt_image_classification.git
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