목록object detection (3)

Shakerato

딥러닝 객체인식 네트워크 retinanet 내 데이터셋으로 학습하는 방법

참고: https://github.com/fizyr/keras-retinanet 1. 실행 환경 구축 1.1. Anaconda (python=3.6) 개발 환경 생성 conda create -n myenv python=3.6 1.2. Anaconda 개발 환경 활성화 (윈도우) activate myenv 1.3. 관리자 권한으로 cmd 실행 1.4. python setup.py install 1.5. pip install Keras==2.2.4 2. 학습할 데이터셋 만들기 2.1. 학습할 이미지 준비하기 2.2. 학습할 이미지에 있는 인식할 객체의 Bounding Box 위치 알아내기 2.3. 모든 학습할 이미지를 특정 폴더에 path/to/image.jpg 모두 저장 2.4. Annotations fo..
Research 2019. 1. 17. 00:56
Run code the DL based object detection on raspberry pi 2

Deep Learning based Object Detection source code is herehttps://www.pyimagesearch.com/2017/10/16/raspberry-pi-deep-learning-object-detection-with-opencv/ sudo pip3 install opencv-python sudo pip3 install imutils sudo apt-get install libatlas-base-dev sudo apt-get install libjasper-dev sudo apt-get install libqtgui4 sudo apt-get install libqt4-test open 'pi_object_detection.py' using editor andco..
Research 2018. 6. 30. 17:42
Tensorflow Object Detection Tutorial

[Code and Explain] https://github.com/tensorflow/models/tree/master/research/object_detection [Download] https://github.com/tensorflow/models [Related Youtube: sentdex] https://www.youtube.com/watch?v=COlbP62-B-U [Anaconda 3, Create Envirnment for tensorflow 1.4] 1. open 'cmd' as administrator 2. conda update -n base conda 3. conda create -n tensorflow1.4 python=3.5 anaconda 4. [tensorflow-gpu 1..
Research 2018. 3. 29. 17:51
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