The official implementation of Texture-Aware Attention Network (TANet) with PyTorch >= v1.4.0.
- Color-Gradient layer
- Gabor layer
- Attention layer
- TANet model
- Example
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Get any feature maps.
-
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)
Run the below script
python example.py
- Test image from IIIT5K dataset: https://github.com/ocr-algorithm-and-data/IIIT5K/tree/master/test
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