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CLIENT

Build

  1. Buy NVIDIA videocard
  2. Install CUDA 10.2
  3. Install OpenCV 4.2.0
  4. git clone https://github.com/cpllbstr/Hist-Kalman-tracker
  5. cd Hist-Kalman-tracker
  6. cmake -S . -B ./build - it will take some time to download and install dependencies
  7. cd ./build
  8. make

Binary file would be produced in the project's root dir.

After installation you need to set path to your darknet yolo cfg and weights in config.toml.

Launch

To run correctly you need to set enviroment variable DETECTOR_ADDR_PORT. It could be made by running this command:

export DETECTOR_ADDR_PORT="127.0.0.1:50051"

Then simply run ./client.

  • WARNING! Setting enviroment variable works only for current terminal. If you want to run it in another terminal, you need to set DETECTOR_ADDR_PORT again.

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opencv implementation of Kalman tracker with histogram comparison

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