Tagging the images which have the bank cheque. The output has a tag of cheque or non-cheque, and a confidence score between 0 and 1.
Input | Output |
---|---|
{ 'tag': 'cheque', 'score': 0.7404399 } |
|
{ 'tag': 'non_cheque', 'score': 0.7928494 } |
|
{ 'tag': 'non_cheque', 'score': 1.0 } |
to install the cheque tagger model, you need Python 3.7.7. Then you can download the code and pre-trained models as follows
git clone https://github.com/yanliang12/cheque_detection.git
cd cheque_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 cheque detection from the following url
https://drive.google.com/file/d/1bvmDMn9h9CULtYp56Ql9UiyGZnMdzxiE/view?usp=sharing
Test with a positive case
to use the model to tag the image, download the an image of cheque by
wget https://upload.wikimedia.org/wikipedia/commons/thumb/3/3c/Sample_cheque.jpeg/1200px-Sample_cheque.jpeg
you can check how the image looks like
then run the test code
from cheque_tagging import cheque_tagging
cheque_tagging("1200px-Sample_cheque.jpeg")
you will see
{'score': 0.7404399, 'tag': 'cheque'}
Test with a negative case
as a negative example, you can downloand a non-cheque image, say, my lovely campus photo, by
wget https://www.ilwindia.com/wp-content/uploads/2019/08/Heriot-Watt-University-Dubai-1.jpg
which looks like
and then run the code to do the tagging
cheque_tagging("Heriot-Watt-University-Dubai-1.jpg")
and you get the followig result because there is no cheque in the image
{'score': 1.0, 'tag': 'non_cheque'}
I trained this model from a data set of 536 cheque images and 38996 non-cheque images. This data set is collected by myself. The training is conducted over a GPU of Ali Cloud. The epoch number is 20, and the accuracy over the training set is 0.9984.
If you need access to my training data set, or want to know more about the training details, please contact me by [email protected]
I am actively looking for data science/AI related job. If you have such oppertunity, thank you so much for contact me. I am ready for interview any time.