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I transfer the backend of yolov3 into Mobilenetv1,VGG16,ResNet101 and ResNeXt101

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keras==2.1.5, tensorflow-gpu==1.6.0, when I trained the code, I got this error: File "/data/home/anaconda3/envs/keras_YOLOv3/lib/python3.6/site-packages/keras/engine/base_layer.py", line 460, in __call__ output = self.call(inputs, **kwargs) File "/data/home/anaconda3/envs/keras_YOLOv3/lib/python3.6/site-packages/keras/layers/advanced_activations.py", line 46, in call return K.relu(inputs, alpha=self.alpha)...

I can't find your code to save detection result , when I want to use the result txt to caculate mAP

Hey, query with respect to implementing other networks as backends for the Yolov3. Would it be straightforward to implement a Resnet or VGGNet extractor by switching up the keras import...

Hi, what is the advantage of converting the Darknet-model to a Keras-model ? Best Regards

Is there a mAP metric in your code?

Hi,I see your change in the structure of YOLO3 ,perfect! But I want to know what need to modify if I want to change the structure with my mind?

A @Adamdad how to use for custom dataset..? i wish to try yolov3 with vgg16 as backbone..