Yolo object detection - Yolo object detection with python

Related tags

Deep Learning yolo_object_detection
Overview

How to run

download required files

make build_image
make download

Docker version

  1. install docker https://docs.docker.com/desktop/mac/install/

  2. build image to run object detection

make build_image
  1. run with docker image
# make run.simple {target-file} {output-file-name}
make run.simple FILENAME=data/kite.jpg OUTPUTFILENAME=kite_observed.jpg

conda version

  1. install conda

https://ikaros79.tistory.com/entry/Mac%EC%97%90%EC%84%9C-%EC%95%84%EB%82%98%EC%BD%98%EB%8B%A4-%EC%84%A4%EC%B9%98%ED%95%98%EB%8A%94-%EB%B0%A9%EB%B2%95

  1. build conda env

make conda.build.env

  1. run virtual environment

conda activate yolo_python

  1. run following commands

image

#python detect_simple.py {image dir} {output-file-name}
python detect_simple.py ./data/kite.jpg kite_observed.jpg

video

#python detect_simple.py {video dir} {output-file-name}
python detect_video_simple.py ./data/mv.mp4 road_detected.mp4

Note for me

How to create conda environment with file

conda env create --name yolo_python --file environment.yaml

How to build conda environment

conda create --name yolo_python python=3.6 pip install -r requirements.txt conda env export > environment.yaml

run with conda environment

References

https://github.com/kairess/tensorflow-yolov4-tflite -> most of codes are from this repository. I just changed it just for testing codes

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