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some questions about ssd.py

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In ssd.py, I found net['input'] = input_tensor net['conv1_1'] = Convolution2D(64, 3, 3, activation='relu', border_mode='same', name='conv1_1')(net['input']) I know Convolution2D, but I can not understant it times (net['input']) ,and I did not...

Is this model's architecture different from that of the paper?

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I found the output is from conv4_3, fc7, conv6_2, conv7_2, conv8_2, pool6 but the paper is from conv4_3 , fc7, conv9_2, conv10_2, conv11_2 and the number of default box is...

how to use yolov2_darknet_parser.py ?

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what does the 'file' refer to and what it should be? thank you.