Hi @erik ,
I built a custom model which will take a combined_img as input. The combined_img is defined as following:
left_img = np.expand_dims(left_rectified, 2)
right_img = np.expand_dims(right_rectified, 2)
combined_img = tf.convert_to_tensor(np.concatenate((left_img, right_img), axis=-1) / 255.0, dtype=tf.float16)
Is there a way to build the following pipeline using depthai?
-------> preprocess(left_rectified,right_rectified) --> custom model blob
Could you please help to point me to a reference code or example links to show how to build the above pipeline and run in oak camera?
Thanks a lot for your help.