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Pip install tensorflow if you don’t have an NVIDIA GPU that you want to use. Pip install tensorflow-gpu if you have an NVIDIA GPU that you want to use, or You can either install it directly using pip, or use their tutorial for building Tensorflow for your system, if that is what you want to do. It is recommended that this is set up in a python virtual environment. BLDC Toolįollow that github to download, build, and run the BLDC Tool -Pythonįor this, we used Python 2.7. With a new TX2, flash it with Jetpack to install basic OS, Cuda, CuDNN, etc.
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# the number is the time in seconds, first arg can be either forw or back Sofwerx Automated Intrusion Tracking README This README is split into sections in the order they were executed during our project This was implemented on an NVIDIA Jetson TX2 mounted on a vehicle equipped with four brushless DC motors with a wheel attached to each, interfaced with a BLDC motor controller, and a USB camera Vehicle Setup BLDC Motors TX2 TX2 Setup Jetpack BLDC Tool Python Download Our Files Tensorflow OpenCV Other Dependencies Folder Setup Image Saving Directories person_detection_new.py Capturing video Detecting People Saving Images Move Vehicle BLDC Tool Train Model With Saved Threat Images Drone - Go Launch Capture Video Follow Person README v2 Sofwerx Automated Intrusion Tracking README This README is split into sections in the order they were executed during our project This was implemented on an NVIDIA Jetson TX2 mounted on a vehicle equipped with four brushless DC motors with a wheel attached to each, interfaced with a BLDC motor controller, and a USB camera This README is detailed with how we did everything using a TX2 running Ubuntu 16.04, which has an ARM-based 64bit CPU and NVIDIA GPU, so if you are running this on something else, the basic setup is the same, just with different OS and architecture details Vehicle Setup BLDC Motors TX2 -Nvidia TX2 Board -Jetpack Then, you should be able to run the script Inside the tf_files folder, create two folders: save_image and save_threat image do this, but instead of the longgun_detection.py, use the person_detection.py The person_detection.py script is in that directory Make sure you have the tensorflow models installed and protoc'd, such that you have the directory /tensorflow/models/research/object_detection/ Other dependencies at the top, to be imported, installed #In order for the person_detection.py script to work, a few things need to be checked.
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The images folder has ~150 good images of jonathan and petar, which can be used for training The moreData folder has images generated by person_detection.py, separated by video/feed The videos folder has some videos of people, I highly recommend vid2.mp4 (60 fps time lapse in public area) Sofwerx automated intrusion tracking repository