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# cloud_robotics A deep reinforcement learning approach to cloud robotics. NOTE: Before using this repo in python3, make sure to export the base code directory on your machine to as CLOUD_ROBOTICS_DIR in your bashrc, like: export CLOUD_ROOT_DIR='/Users/csandeep/Documents/cloud_robotics' Key Directories: utils: generic utils to plot and load jsons etc. simulate_RL: train an RL agent in tensorflow for cloud offloading hardware_experiments: run an RL agent on a Jetson TX2 embedded GPU with IP camera data: where to put pre-recorded videos or faces of people to train FaceNet DNN models DNN_models: - pretrained, base vision DNNs to detect faces and the OpenFace models scratch_results: - where outputs of runs go, such as logfiles and models Citations: We modified publicly available code and used vision DNNs from: 1. pyimagesearch: https://www.pyimagesearch.com/ 2. OpenFace project: https://cmusatyalab.github.io/openface/ 3. jsonsockets library Common problems on the Jetson TX2 when running Tensorflow with CUDA: if you get: 2019-03-27 17:20:39.660979: W ./tensorflow/core/common_runtime/gpu/pool_allocator.h:195] could not allocate pinned host memory of size: 2304 add the following, as per: config = tf.ConfigProto() config.gpu_options.allow_growth = True session = tf.Session(config=config, ...) https://devtalk.nvidia.com/default/topic/1029742/jetson-tx2/tensorflow-1-6-not-working-with-jetpack-3-2/
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