Why should we use cfg/somefile.data

[Miguel Campos Romero]

If i have a trained yolo model on my custom dataset, why is not enought with weights and model.cfg?
For instance this is my call

./darknet detector batch cfg/obj.data cfg/yolov3-tiny-obj.cfg weights/yolov3-tiny-obj-416_best.weights io_folder samples/ output/ -out output/result.json -ext_output > output/result.txt -dont_show

this is what obj.data contains:

classes = 1
train = cfg/train.txt
valid = cfg/test.txt
names = cfg/obj.names
backup = /backup

In fact, i am not using anythin of this path but obj.names with this content:

Olive

[Vincent Gong]

Sorry, I'm not clear about your question. Can you provide more information? Regards, Vincent X. Gong

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On Thu, Nov 12, 2020 at 12:36 PM Miguel Campos Romero < ***@***.***> wrote: If i have a trained yolo model on my custom dataset, why is not enought with weights and model.cfg? — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#24>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/ABSXEIYGBBXZZHVRMMK4GNLSPPCDBANCNFSM4TTFN7VA> .

[Miguel Campos Romero]

Sorry, i am meaning, if we are doing inferences with a trained model on a folder with images, why are we using the(for instance) cfg/coco.data? In yolo documentation is enought with weights and model.cfg