Continuing the Training for CS:GO about pine HOT 3 OPEN

+1

from pine.

It's based on yolov3-tiny model as shown in here: https://github.com/petercunha/Pine/tree/master/models
You can continue the training as any darknet model can.
First you'll need to create a decent dataset with this tutorial: https://www.youtube.com/watch?v=EGQyDla8JNU
Then just follow along this tutorial: https://www.youtube.com/watch?v=mmj3nxGT2YQ
But instead of using the pretrained backbone of the model (yolov4.conv.137)
use this weights: https://github.com/petercunha/Pine/blob/master/models/yolov3-tiny.weights?raw=true
And instead of the config he provide in the tutorial use this config: https://github.com/petercunha/Pine/blob/master/models/yolov3-tiny.cfg
So when you want to begin the training your finel code should look like this:
!./darknet detector train data/obj.data cfg/yolov3-tiny.cfg /mydrive/yolov4/backup/yolov3-tiny.weights -dont_show -map

For significantly change you will need a big dataset (At least 300 images).

from pine.

if i want to train for a whole new game should i make my own data set and weights and start from zero or what? Also which obj should i be training for in a game like call of duty? Im guessing weapons, people and faces? Thanks

from pine.