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).
MIT License
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https://1drv.ms/f/s!ApLdDEW3ut5feoZAEUwmSMYdPlY can not be reached #342

Open wizephen opened 6 years ago

wizephen commented 6 years ago

https://1drv.ms/f/s!ApLdDEW3ut5feoZAEUwmSMYdPlY can not be reached! How can I get the pre-trained weights for raccoon detector alternatively?

guysoft commented 5 years ago

Same here, its broken!

guysoft commented 5 years ago

Is there a way to work without this? It seems strange the whole thing is dependent on some random weight file floating on some onedrive

MBoaretto25 commented 5 years ago

@wizephen @guysoft I think what you guys are looking for, can be found in here: https://github.com/rodrigo2019/keras_yolo2/releases/tag/pre-trained-weights