I saved a .tflite and I am trying to store model in the cam’s frame buffer stack. However, the syntax in the documentation, tf.load(path[, load_to_fb=False]), returns a syntax error. When I use the person_detection network in the syntax, tf.load(path, load_to_fb=True), there is no error. However, with my model used as, tf.load(“fmnist.tflite”, load_to_fb=True), I get a strange error, “OSError: Input dimension [c] should be 1 or 3!” I don’t think this is an issue with my network because it was made from a google tutorial. Is there any other explanation for this?