experiencor / keras-yolo2

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

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Explanation of parameters in config.json

yumna4 opened this issue · comments

Hi, what do the following parameters mean in the config.json file? Thank you!

"train_times": 8,
"nb_epochs": 1,
"warmup_epochs": 3,
"object_scale": 5.0 ,
"no_object_scale": 1.0,
"coord_scale": 1.0,
"class_scale": 1.0,