I wanted to run direct evaluation with main_test.py if thats possible, since I wanted to adapt the code to run on a custom dataset for later. But im getting the following error on main_test.py -->
Traceback (most recent call last):
File "/isro_data/Cloud-Net-A-semantic-segmentation-CNN-for-cloud-detection/Cloud-Net/main_test.py", line 64, in
prediction()
File "/isro_data/Cloud-Net-A-semantic-segmentation-CNN-for-cloud-detection/Cloud-Net/main_test.py", line 25, in prediction
imgs_mask_test = model.predict_generator(
AttributeError: 'Functional' object has no attribute 'predict_generator'. Did you mean: 'predict_on_batch'?
and if i change the function name as suggested (and then remove the argument keywords generator= and steps= since that gave error), I get error as - TypeError: TensorFlowTrainer.predict_on_batch() takes 2 positional arguments but 3 were given
I wanted to run direct evaluation with main_test.py if thats possible, since I wanted to adapt the code to run on a custom dataset for later. But im getting the following error on main_test.py --> Traceback (most recent call last): File "/isro_data/Cloud-Net-A-semantic-segmentation-CNN-for-cloud-detection/Cloud-Net/main_test.py", line 64, in
prediction()
File "/isro_data/Cloud-Net-A-semantic-segmentation-CNN-for-cloud-detection/Cloud-Net/main_test.py", line 25, in prediction
imgs_mask_test = model.predict_generator(
AttributeError: 'Functional' object has no attribute 'predict_generator'. Did you mean: 'predict_on_batch'?
and if i change the function name as suggested (and then remove the argument keywords generator= and steps= since that gave error), I get error as - TypeError: TensorFlowTrainer.predict_on_batch() takes 2 positional arguments but 3 were given