TensorFlow Error: 'image' must be at least three-dimensional - Solution and Explanation

The error message "'image' must be at least three-dimensional." in TensorFlow indicates that the input image you're providing lacks the required three dimensions (height, width, and color channels). This typically occurs when the image hasn't been loaded or decoded correctly, or if the image path is incorrect.

To resolve this, you need to ensure the image is properly read and decoded. Use functions like tf.io.read_file and tf.image.decode_image for this purpose.

Here's an example of how to fix the error:

import tensorflow as tf

# Read and decode the image
image_path = 'lena.jpg'
image = tf.io.read_file(image_path)
image = tf.image.decode_image(image)

# Perform random flip left-right
img1 = tf.image.random_flip_left_right(image)

Remember to replace 'lena.jpg' with the actual path to your image file.

Explanation:

• tf.io.read_file(image_path) reads the image file from the specified path.
• tf.image.decode_image(image) decodes the image data, transforming it into a suitable format for TensorFlow operations.

By incorporating these steps, you ensure that the input image has the necessary three dimensions for image manipulation tasks in TensorFlow.