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Tensorflow 2 single shot multibox detector (SSD) implementation from scratch with MobileNetV2 and VGG16 backbones

License: Apache License 2.0

Python 100.00%
ssd object-detection ssd300 trained-models tensorflow tensorflow2 tf2 deep-learning mobilenet-ssd mobilenetv2

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tf-ssd's Issues

problem about the bbox format

I need to feed my own data and I feed the data as the note under 'calculate_actual_outputs':
image

And my data is like this:
the prior boxes:
image
the ground truth boxes:
image

I think my data format is correct, but I got this error:
image
It seems that the 'pos_cond' should be shape [batch, num_of_anchers, 4], is this caused by my data format?

include_top=False seems not work

No matter I change the setting of ‘include_top’ to True or False, the base net always has the last Dense layer.
Anyone got something about this?

Provide pretrained model

Thank for your project, it is very useful for me. I want to test inference with this model first, It will be greate if you provide pretrained tf.keras h5 model.

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