FANDOM


tensorflow port Edit

https://github.com/thtrieu/darkflow Download weights here google drive and pjreddie weights.

pjreddie author Edit

AlexeyAB Edit

https://github.com/AlexeyAB/darknet#how-to-train-pascal-voc-data Fork of Yolo, download android webcam app. use android phone as network camera input stream.

bounding box Edit

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

Jumabek Edit

https://github.com/Jumabek/darknet_scripts , anchors in region layer(google groups)

darknetfanz Edit

train yolo coco data The first time I made a custom dataset that ran the 'demo' argument I changed yolo.c line 13 "char *voc_names[]=..." to reflect my custom classes. The second time I made a custom dataset, I added an argument to darknet.c "-override_vocnames" that loaded the appropriate "names=" file from the data file. ie - coco.data

  • Maybe not the best way to do it. But it was easy to implement.

thtrieu Edit

https://github.com/thtrieu/darkflow json output can be generated with descriptions of the pixel location of each bounding box and the pixel location. Each prediction is stored in the sample_img/out folder by default. An example json array is shown below.

Sai Edit

Guanghan Edit

I am wondering the answer of original question. Can we get coordinates and count of detected objects, as text output, in darknet?

yes you can, go to in folder src/image.c find draw_detection function, left,right,top,bot is image bounding box, names[class] is object name, you can save bounding box and object in txt and count the object

http://guanghan.info/projects/ROLO/ Rolo a fork of Yolo does realtime tracking and identification of the body parts of a human such as face, allowing the Tracked vehicle robot's PepperBall gun accurate engagement. https://github.com/Guanghan/ROLO.

Yolo python wrapper Edit

https://github.com/IvonaTau/Python-wrapper-for-YOLO , https://groups.google.com/forum/#!topic/darknet/f-TICXNR1_E

https://github.com/thomaspark-pkj/pyyolo from python wrapper


https://pjreddie.com/darknet/

https://pjreddie.com/darknet/yolo/

ivona Edit

https://github.com/IvonaTau/Python-wrapper-for-YOLO

https://groups.google.com/forum/#!topic/darknet/f-TICXNR1_E

Sakmann Edit

https://medium.com/@ksakmann/vehicle-detection-and-tracking-using-hog-features-svm-vs-yolo-73e1ccb35866 from Sakmann

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