Train models on non square images

[vmerc]

I tried to adapt them to train them on my own dataset but my images are rectangle. I've got errors about the tensor shape with ssd300VGG16 and ssd300XceptionLite durting the fit_generator call.

I adapted the input shape constant with my own values (1224,370,3) and change the Xception call with xception=Xception(input_shape=(1224,370,3),include_top=False,weights=None) but i still got errors about the tensor shape.

Does anyone no how to modify the models and the train notebook to make the models work ?

[tanakataiki]

The image should be resized to 300 by 300
You need to make new neteork if you want to detect with custom size if it's necessary