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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model.load_weights("weights_coco.h5"): 'No such file or directory' #345

Open Yufeng4024 opened 6 years ago

Yufeng4024 commented 6 years ago

After disabling the Callbacks for early_stop, I completed the training. However, the following error appears in model.load_weights("weights_coco.h5"): 'No such file or directory' Where is "weights_coco.h5" created? Is this the weights file after training? I don't see it in the code.

MuhammadAsadJaved commented 5 years ago

@Yufeng4024 Where did you save your these weights? just copy and place in the root directory of the model. also keep the same name in the config file.