deploy the yolov3 model to Android (convert the keras model to tflite)

[jasonhai18]

ERROR: Check failed: start_indices_size <= num_input_axes (2 vs. 1) StridedSlice op requires no more than 1 start indices.

It is because the tflite does not support some lower level function of tensorflow. Such as tf.newaxis in tf.strided_slice.

So I modified the ./core/yolov3.py and replace all the tf.newaxis to tf.expand_dims

For example:

# original code
# y = tf.tile(tf.range(output_size, dtype=tf.int32)[:, tf.newaxis], [1, output_size])
# x = tf.tile(tf.range(output_size, dtype=tf.int32)[tf.newaxis, :], [output_size, 1])

# my version
y = tf.range(output_size, dtype=tf.int32)
y = tf.expand_dims(y, -1)
y = tf.tile(y, [1, output_size])
x = tf.range(output_size,dtype=tf.int32)
x = tf.expand_dims(x, 0)
x = tf.tile(x, [output_size, 1])