when I use the pre-trained pose model to predict, the output is same whatever inputs are.
I use seq 9 and seq 11 to run test_kitti_pose.py, but the output pose.txt are all the same, that is, 000000.txt and 000001.txt has the same content.
I print the input image data, it's not same, but the output pose is same. I normalized the input image data but it doesn't work.
（I use tensorflow-gpu 2.0.0b, cuda 10.0 and python 3.6, and use "import tensorflow.compat.v1 as tf" and "tf.disable_v2_behavior()" replace import tensorflow as tf
when I use the pre-trained pose model to predict, the output is same whatever inputs are.
I use seq 9 and seq 11 to run test_kitti_pose.py, but the output pose.txt are all the same, that is, 000000.txt and 000001.txt has the same content.
I print the input image data, it's not same, but the output pose is same. I normalized the input image data but it doesn't work.
（I use tensorflow-gpu 2.0.0b, cuda 10.0 and python 3.6, and use "
import tensorflow.compat.v1 as tf" and "tf.disable_v2_behavior()" replaceimport tensorflow as tfthanks a lot for any help.