TANet

The official implementation of Texture-Aware Attention Network (TANet) with PyTorch >= v1.4.0.

Task

• Color-Gradient layer
• Gabor layer
• Attention layer
• TANet model
• Example

Usage

1. Get any feature maps.

2. Feed feature maps and input images to TANet.

Here is an example:

from models.TAN import TANet

Channel_feature, Height_feature, Width_feature = feature_maps.shape[1], feature_maps.shape[2], feature_maps.shape[3]
tanet_model = TANet(f_in=Channel_feature, C_in=Channel_input, kernel_sizes=[3, 5])
feature_maps_update, att_map = tanet_model(feature_maps, input_images)

Test

Run the below script

python example.py

Source

1. Test image from IIIT5K dataset: https://github.com/ocr-algorithm-and-data/IIIT5K/tree/master/test