Implementation of the paper "ACF Based Region Proposal Extraction for YOLOv3 Network Towards High-Performance Cyclist Detection in High Resolution Images"
For more details: https://medium.com/@thanifbutt/acf-based-region-proposal-extraction-for-yolov3-network-towards-high-performance-cyclist-detection-455084b26283
https://pdollar.github.io/toolbox/
https://github.com/pdollar/toolbox
https://github.com/jmbuena/toolbox.badacost.public
https://pjreddie.com/darknet/yolo/
https://medium.com/@manivannan_data/how-to-train-yolov3-to-detect-custom-objects-ccbcafeb13d2
https://medium.com/@manivannan_data/how-to-train-yolov2-to-detect-custom-objects-9010df784f36
https://github.com/AlexeyAB/darknet#how-to-train-to-detect-your-custom-objects
https://www.learnopencv.com/install-opencv3-on-ubuntu/
https://stackoverflow.com/questions/9195716/read-txt-file-in-matlab
https://www.mathworks.com/matlabcentral/answers/47448-save-data-to-txt-file
https://medium.com/@andersasac/anchor-boxes-the-key-to-quality-object-detection-ddf9d612d4f9
https://github.com/pjreddie/darknet/wiki/YOLO:-Real-Time-Object-Detection
http://guanghan.info/blog/en/my-works/train-yolo/
https://github.com/vincentgong7/VG_AlexeyAB_darknet
https://towardsdatascience.com/light-on-math-ml-attention-with-keras-dc8dbc1fad39
https://ai.stackexchange.com/questions/5111/confusion-regarding-anchor-boxes-in-yolo
https://towardsdatascience.com/yolo-v3-object-detection-53fb7d3bfe6b
https://github.com/qqwweee/keras-yolo3
https://github.com/bing0037/keras-yolo3
https://github.com/experiencor/keras-yolo3
https://github.com/rafaelpadilla/Object-Detection-Metrics
https://github.com/bluesy7585/keras-yolo3
eriklindernoren/PyTorch-YOLOv3#233
https://github.com/eriklindernoren/PyTorch-YOLOv3#train-on-custom-dataset
https://towardsdatascience.com/orientation-estimation-in-monocular-3d-object-detection-f850ace91411