alpha=0.6

gcvit/utils/gradcam.py

@@ -17,7 +17,7 @@ def get_gradcam_model(model):
     preds = model.forward_head(feats)
     return tf.keras.models.Model(inp, [preds, feats])
 
-def get_gradcam_prediction(img, grad_model, process=True, decode=True, pred_index=None, cmap='jet', alpha=0.4):
+def get_gradcam_prediction(img, grad_model, process=True, decode=True, pred_index=None, cmap='jet', alpha=0.6):
     """Grad-CAM for a single image
 
     Args: