Yolo bounding box

=== tutorial ===
https://towardsdatascience.com/yolo-v3-object-detection-53fb7d3bfe6b
== alexeyab ==
Make a counter inside draw_detections_cv_v3 in image.c then increment it every time names[name_index] is equal to "car". this counts the number of cars in a video.
https://github.com/AlexeyAB/darknet/issues/898 
https://groups.google.com/forum/#!topic/darknet/x-wYtU3hsr4
https://groups.google.com/forum/#!topic/darknet/2K3AQYk9QU8 classifier detects whether there are any objects. detector where are the objects. 
=== issues ===
https://github.com/AlexeyAB/darknet/issues/694
Un-comment these 2 lines: darknet/src/image.c Line 390 in 15139eb
 //printf("%f %f %f %f\n", b.x, b.y, b.w, b.h); 
darknet/src/image.c
Line 246 in 15139eb
//printf("%f %f %f %f\n", b.x, b.y, b.w, b.h); 
https://github.com/AlexeyAB/darknet/issues/954#issuecomment-393609188 for video
=== 33 ===
https://github.com/rafaelpadilla/darknet/ extracts bounding box to text file. 
http://christopher5106.github.io/object/detectors/2017/08/10/bounding-box-object-detectors-understanding-yolo.html
https://groups.google.com/forum/#!topic/darknet/qrcGefJ6d5g
https://gist.github.com/WillieMaddox/3b1159baecb809b5fcb3a6154bc3cb0b
https://groups.google.com/forum/#!topic/darknet/1_HhQwr2BkA urban object detection with https://www.cityscapes-dataset.com/ dataset.
https://github.com/Cartucho/yolo-boundingbox-labeler-GUI from yolo bounding box format gle grps
=== links ===
Yolo
Yolo training
Yolo tensorflow
Yolo pytorch
Category:Yolo