In this video we'll modify the cfg file, put all the images and bounding box labels in the right folders, and start training YOLOv3! P.S. check out the description for all the links!)

I really encourage you to ask questions, if something's not clear or you just want to, happy to help!)

Darknet repo: [ Ссылка ]

Hit me up on Twitter: [ Ссылка ]
And on LinkedIn: [ Ссылка ]

GitHub: [ Ссылка ]

Training command: darknet.exe (or ./darknet) detector train data/obj.data yolov3-tiny-obj.cfg yolov3-tiny.conv.15 -dont_show

Pretrained convolutional YOLOv3 weights: [ Ссылка ]
YOLOv3-tiny weights: [ Ссылка ]

obj.data layout:
classes= 2
train = data/train.txt
valid = data/test.txt
names = data/obj.names
backup = backup/

Implement YOLOv3 in Python: [ Ссылка ]
Install Darknet: [ Ссылка ]
Get Training Images: [ Ссылка ]
Label the Images: [ Ссылка ]

Contact me directly: ivangoncharovai@gmail.com
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