title: InvalidArgumentError: Graph execution error: TensorFlow pose estimation using OpenCV
body: <p>I am trying to build pose detection using cv2, tensorflow in google colab
  I am encountering with the following error..</p>
  <p>Code:</p>
  <pre><code>import tensorflow as tf
  import tensorflow_hub as hub
  import cv2
  from matplotlib import pyplot as plt
  import numpy as np
  from google.colab.patches import cv2_imshow
  
  
  model = hub.load('https://tfhub.dev/google/movenet/multipose/lightning/1')
  movenet = model.signatures['serving_default']
  
  
  img_original = cv2.imread('/content/brandon-atchison-eexdeq3NleQ-unsplash.jpeg',1)
  img_copy = img_original.copy()
  input_img = tf.cast(img_original,dtype=tf.int32)
  img_copy.shape
  
  
  tensor = tf.convert_to_tensor(img_original,dtype=tf.int32)
  tensor
  
  
  results = movenet(tensor)
  
  </code></pre>
  <p>I have created the variable <code>img_copy</code> cuz I need to perform some operations on the image and want the  original image as it is. Not sure what is the error I am facing while trying to get results from the <code>movenet</code> model.</p>
  <p><a href="https://i.stack.imgur.com/wd5wc.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/wd5wc.png" alt="Error image" /></a></p>
  <p>edit:
  <a href="https://i.stack.imgur.com/QtLSH.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/QtLSH.png" alt="enter image description here" /></a></p>