과제정보
이 연구 결과물은 2020년도 경남대학교 학술진흥연구비 지원에 의한 것임.
참고문헌
- Available: https://bit.ly/3gLuq4t, 2020.
- Available: https://bit.ly/3gJVWPC, NEWSRO 2019.
- Fitbark, "Fitbark," Available: https://www.fitbark.com.
- R. Brugarolas, R. T. Loftin, P. Yang, D. L. Roberts, B. Sherman, A. Bozkurt, "Behavior recognition based on machine learning algorithms for a wireless canine machine interface," in 2013 IEEE International Conference on Body Sensor Networks, Cambridge, MA, USA, 2013.
- J. Redmon, A. Farhadi, "Yolo v3: An incremental improvement," Available: https://arxiv.org/abs/1804.02767, 2018.
- J. Redmon, A. Farhadi, "Yolo9000 better, faster, stronger," in the IEEE Conference on Computer Vision and Pattern Recognition, 2017.
- Available: https://teachablemachine.withgoogle.com.
- Available: http://topdogblog1.blogspot.com/2012/04/doggie-language.html
- Available: https://github.com/AlexeyAB/darknet
- Available: https://www.kaggle.com/tongpython/cat-and-dog
- Available: https://github.com/AlexeyAB/Yolo_mark
- Available: https://medium.com/@manivannan_data/how-to-train-yolov3-to-detect-custom-objects-ccbcafeb13d2
- Available: https://nodejs.org/ko/download/