• For Keras 2 compatibility, a generic type var KerasTensor is defined instead of using keras.KerasTensor directly, as the latter is only available in Keras 3.
• Relax version requirement for Keras in setup config

• Allow passing a model name to the make_open_nsfw_model function. This will be used as the name attribute of the returned Keras model object. The default name is opennsfw2.
• Fix logic for updating the internal global model variable.

• Use Keras 3 instead of Keras Core
• Drop support for Python 3.8; add support for Python 3.11

• Improve internal batching logic for predicting from image paths.

• Improve support for using the APIs in a loop, in particular, reduce the memory usage due to re-creating the model object.

• Switch from tf.keras to keras_core
• Include test run for JAX backend
• Update README
• Other minor fixes

• Fixed model inference usage to avoid potential TF mem-leak

• Remove grad_cam_height and grad_cam_width settings, the output grad-cam image will always be the same size as the input image
• Default alpha is 0.8

• Add progress bar for predicting video frames.
• Set all default batch sizes to 8.

Add aggregation support for predicting video frames.