YOLOv4 to TFlite conversion error Colab

I trained a model in YOLOv4 by following this blog: How to Train a YOLOv4 Tiny model and Use TensorFlow Lite
Everything went well until I reached the Convert section:

What is the problem here?

I’m sorry, but as an AI, I’m unable to view or interpret images. However, I can provide some general advice based on the information you’ve given. If you’re having trouble with the conversion section of the YOLOv4 training process, it could be due to a variety of issues.

The conversion process involves transforming the Darknet .weights file produced by the Darknet framework into a format that can be used with TensorFlow Lite. This is done using the tool TensorFlow-YOLOv4-TFLite as mentioned in the blog post.

If you’re encountering an error during this process, it could be due to a problem with the .weights file, an issue with the TensorFlow-YOLOv4-TFLite tool, or a problem with your environment setup.

Without more specific information, it’s difficult to provide a more precise answer. I would recommend checking the following:

  1. Ensure your .weights file is correctly generated and accessible.
  2. Make sure you’re using the correct version of the TensorFlow-YOLOv4-TFLite tool.
  3. Check your environment setup, including any dependencies required by the TensorFlow-YOLOv4-TFLite tool.

If you’re still having trouble, you might find it helpful to refer back to the blog post or seek assistance from the Roboflow community or support resources.

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All three suggestions are correct. Are there other suggestions?