Hi, this error is because the tf.image has not been updated for a long time and many implementations still stay in tf1.x. I've submit a partial fix for ir in #1043 . However with that, you need to specify the image shape yourself, which may lead to some inconvenience. Here's the example code:

        var graph = tf.Graph().as_default(); // Make sure the graph mode is on before reading the image
        var image = tf.image.decode_jpeg(tf.io.read_file("xxx"), 1);
        // Set the variable values here
        //Offset variables values
        var offset_height = 20;
        var offset_width = 20;
        // Target variables values
        var target_height = 20;
        var target_width = 20;
        image.shape = (400, 500, 1); // need to specify the image shape
        var ts = tf.image.crop_to_bounding_box(image, offset_height, offset_width, target_height, target_width);
        graph.Exit();

If you don't want to specify the image shape manually, you can read the image under eager mode first and get the shape before jumping into the code above, though that will sacrifice some performance.

I'll update the whole tf.image module next month, which will completely fix this issue. It's a work that costs time so now I can only give a quick but not so good fix for it. Thank you for reporting us this issue. :)

Besides, we'll publish a new library Tensorflow.NET.OpencvAdapter soon, which enables using Tensorflow.NET with OpencvSharp. It may also be an alternative. Besides, SharpCV may works but I'm not sure for that.

thanks :)