Cannot load VGG19 ImageNet weights stored in a “.mat” file on disk

I’m trying out transfer learning and I have downloaded weights for VGG19 model from ImageNet dataset. It downloaded as a “.mat” file. At first I tried to load in the entire .mat file as

import tensorflow as tf
from tensorflow.keras.applications.vgg19 import VGG19

model_path = os.path.join('trained_model', 'imagenet-vgg-verydeep-19.mat')
pre_trained_model = VGG19(weights = None, include_top = False)
pre_trained_model.load_weights(model_path)

but, I got the following error.

OSError: Unable to open file (file signature not found)

Then I tried the set_weights() method instead of load_weights() , as

pre_trained_model = VGG19(weights = None, include_top = False)
pre_trained_model.set_weights(model_path)

then I got the following error,

ValueError: You called `set_weights(weights)` on layer "vgg19" with a weight list of length 42, 
but the layer was expecting 32 weights. Provided weights: trained_model\imagenet-vgg-verydeep-19.mat...

I have also tried

pre_trained_model = VGG19(weights = None, include_top = True)
pre_trained_model.set_weights(model_path)

but, I still get the same errors.

I have downloaded the weights from https://www.kaggle.com/teksab/imagenetvggverydeep19mat