The versions specified for torch, transformers, and scikit-learn appear to be non-existent future versions. This will cause dependency resolution to fail during installation. Please update them to valid, existing versions. You can check PyPI for the latest stable versions.

This configuration file contains a hardcoded absolute path for ground_truth_csv. The save_dir on line 20 is also hardcoded. This makes the code non-portable and difficult to run in different environments. Consider using environment variables or making paths relative to a configurable root directory. This issue is present in all newly added YAML configuration files.

The return type hint is Ovis2VLM. This should be the base class BaseVLM to allow this factory to return different VLM implementations in the future without needing to change the function signature. You will need to add from .base_vlm import BaseVLM at the top of the file.

The int() and float() casts here are redundant. len() already returns an integer, and .mean() on a pandas Series typically returns a float.

There is a duplicate section header here. Line 60 has ### How to add a new model and line 62 has ## How to Add a New Model. One of them should be removed to avoid confusion.

This factory pattern using if/elif statements requires modifying this file every time a new model is added. For better extensibility, consider a registration mechanism, such as using entry points or a dictionary of registered models, to allow adding new models without changing the core library code.

The _extract_frames method is very long and handles logic for three different video reading backends (decord, opencv, moviepy). To improve readability and maintainability, consider refactoring this into smaller, dedicated functions for each backend, e.g., _extract_frames_decord, _extract_frames_opencv, etc. The main method could then try them in sequence.

The import from decord import VideoReader, cpu is located inside the _extract_frames method. It's generally better to place imports at the top of the file for clarity, to avoid repeated import attempts, and to make dependencies explicit. This also applies to the import cv2 on line 249. If these are optional dependencies, you can wrap the top-level import in a try...except ImportError block.

This block can be simplified. The validate_classification_output function is guaranteed to return a string, so the if pred_label is None: check is redundant. Additionally, pred_label is already a string, so str(pred_label) is also redundant.

There are a couple of minor issues here:

1. import sys on line 271 is redundant, as sys is already imported at the top of the file (line 7).
2. The usage message on line 274 is a bit confusing. It refers to run_experiment, but the script is run_prediction.py. A clearer message would be helpful.

    if len(sys.argv) < 2:
        raise SystemExit("Usage: python vlm_baseline/runners/run_prediction.py <path_to_config.yaml>")
    main(sys.argv[1])