Tagging images of bank cards, such as credit card, debit card, etc, based on Xception pretrained deep feature extraction and my own trained classification layers

Same image tagging examples:

Input	Output
	{ 'tag': 'bank_card', 'score': 0.9966258 }
	{ 'tag': 'non_bank_card', 'score': 0.99998796 }

to install the bank card detector, you need Python 3.7.7

git clone https://github.com/liang6261515/bank_card_detection.git

cd bank_card_detection

pip3 install -r requirements.txt

wget https://github.com/fchollet/deep-learning-models/releases/download/v0.4/xception_weights_tf_dim_ordering_tf_kernels_notop.h5

download the pretrain model of bank card detection from the following url

https://drive.google.com/file/d/10H70SUi1C5R79cu-27u-bg9ytnZ8JV9F/view?usp=sharing

to use the model to tag the image, we have three cases

Test case #1

the first image looks like

run the test code

from bank_card_detection import bank_card_detection

bank_card_detection('bank_card.jpg')

you will see the following output since the image itself is a credit card

{'tag': 'bank_card', 'score': 0.9966258}

Test case #2

the seconde image looks like

run the test code

bank_card_detection('bank_card1.jpg')

you will see the following output since the image has a group of visa cards

{'tag': 'bank_card', 'score': 0.9973912}

Test case #3

Then we will see one negative casese where the image have no bank card at all. The image looks like

Run the tagging codes

bank_card_detection('non_bank_card.jpeg')

You will see the output of non bank card because there is no bank card at all

{'tag': 'non_bank_card', 'score': 0.99998796}

feel free to contact me if you have any problem with this package or you are hiring data scientist/AI engineer. I am actively looking for data science/AI related jobs

My email: [email protected]