No such layer: conv4_3_1

[kamae]

ssd300_coco_weights_fixed, ssd300_voc_weights_fixed, ssd512_coco_weights_fixed ssd512_voc_weights_fixed.hdf5 have two layers labeled as conv4_3_1:b, W but not conv4_3_1.
This triggers error. Does some one know how to fix the issue?

[mvoelk]

The errors result from creating two models in the same namespace. The following should work...

K.clear_session()
model = SSD512(input_shape, num_classes=num_classes)
model.load_weights('./models/ssd512_voc_weights_fixed.hdf5', by_name=True)

K.clear_session()
model = SSD512(input_shape, num_classes=num_classes)
model.load_weights('./models/ssd512_voc_weights_fixed.hdf5', by_name=True)

[kamae]

Dear Markus Thank you for the instruction. Yes your instruction solved the problem! I encounter another error as attached in a screen-shot. This may be resolvable with cv2 but not sure. Something like numpy.asarray may be needed? I am very grateful to you kind assistance. I really need it! With regards, Tune Kamae

[mvoelk]

@kamae How can i access the attachment? You can also add images in the issue comments via drag and drop.