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Sagemaker compliant container hosting a custom Yolov3 model compiled with darknet

This Yolov3 library was compiled to use CUDA, CuDNN on a Tesla Volta GPU - any other software/hardware configuration will most likely not work

You can train a new Yolo model for your target platform and replace the libyolo_volta.so with you Yolo lib

In addition to this repo you MUST:

download aces_4000.weights from http://s3.amazonaws.com/cardbot-data/aces_4000.weights to your application directory (236Mb)

download req_libs.zip from http://s3.amazonaws.com/cardbot-data/req_libs.zip AND run libCopy.py ***These libraries are for the CUDA, CuDNN, OpenCV and other dependencies and may change if you re-train a new model

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yolov3 in a docker container (fronted by Flask)

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