can tf-expain explain tf-lite models? if can, how to explain? if not, would you have some advice or suggestion?
Activity
showkeyjar commentedon Sep 30, 2021
I fig it out,
would you please check this idea is right?
I rewrite a OcclusionSensitivity class and use python read tf.lite model then predict
the key codes:
`
def get_sensitivity_map(self, interpreter, image, class_index, patch_size):
# interpreter is tf.lite model
...
interpreter.allocate_tensors()
for patch in tqdm(patches):
interpreter.set_tensor(interpreter.get_input_details()[0]['index'], [patch])
interpreter.invoke()
preds = interpreter.get_tensor(interpreter.get_output_details()[0]['index'])
predictions.extend(preds)
`
beacause I can't find how to batch predict image use tf.lite model, so I make a for loop and set a bigger patch_size