Yolo bounding box

alexeyab
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.

darknet/src/image.c

Lines 536 to 548 in 6390a5a

cvRectangle(show_img, pt1, pt2, color, width, 8, 0);

darknet.exe detector demo data/coco.data yolov3.cfg yolov3.weights -thresh 0.25 test.mp4 -ext_output > result.txt  outputs coordinates of objects into text file. from demo.c lines around 104. calls draw_detections_cv_v3(  from  image.c

image.c ,,  save_image_jpg(  called by save_image(, show_images(  called from outside of image.c

bounding box coordinates
image.c ,, void draw_detections_v3(   called by demo.c  void *detect_in_thread(void *ptr) ,, from void demo( box b = selected_detections[i].det.bbox; //printf("%f %f %f %f\n", b.x, b.y, b.w, b.h); int left = (b.x - b.w / 2.)*im.w; int right = (b.x + b.w / 2.)*im.w; int top = (b.y - b.h / 2.)*im.h; int bot = (b.y + b.h / 2.)*im.h;

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