Enter $SIMCAM_SDK/tools/ folder and run install_opencv.sh script :.
Note* If you have already installed opencv>=3.4.3 versions you can skip this step. If you can see above result, congratulations you have finished installation, it was really easy, right?! Install opencv Input size for networks that do not provide an input o OUTFILE Generated graph file (default graph) w WEIGHTS Weights file (override default same name of. h, -help show this help message and exit MvNCCompile.py converts Caffe or Tensorflow networks to graph files that canīe used by the Movidius Neural Compute Platform API MvNCCompile v02.00, Copyright Movidius Ltd 2016
Below command help you to pull the docker simcam sdk docker image and run it:
#Run 8 train sim car tag colors how to#
Here you can find how to install docker and use on Ubuntu. The easiest way to prepare working environment is using docker, we have created docker image in the docker hub, you can easily pull the docker image and start development part. However, here is some guide for really really quick starters 🏃 Let's get started 😄 Toolchain installation and usage guide.Quick start guide of SimCam in developer mode.There are some documents for developers inside docs folder including : Movidius is used for deep learning computing. HI3516 is used for video capture and video play. The work flow of SimCam in developer mode is shown in the following figure.Īs shown in the figure, SimCam consists of two embedded boards, one is HI3516 and another is Movidius. With the open SDK of SimCam, you can customize the settings to meet your needs. The IP65 waterproof rated indoor/outdoor, camera can rotate 360 degrees while tracking objects. The SimCam has a 5 megapixel image sensor with night vision for still images and 1080 HD videos. The SimCam uses AI for facial recognition, pet monitoring, and more via location training.
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