Developed an Image Processing Vision Input Type Override feature for the liguodongiot/transformers repository, enabling user-configurable vision_input_type to enhance flexibility in image processing workflows. The work involved updating image_processing_perception_lm_fast.py to support dynamic input type overrides, allowing for more adaptable and versatile handling of image data across different processing pipelines. Leveraging Python programming and image processing expertise, the implementation focused on improving code modularity and facilitating easier experimentation and deployment scenarios. This feature addressed the need for customizable input handling, streamlining the integration of varied image sources and supporting more robust software development practices within the repository’s ecosystem.