File size: 1,029 Bytes
084fe8e acb3380 084fe8e acb3380 084fe8e acb3380 084fe8e acb3380 084fe8e acb3380 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 |
from typing import Any
from ctm.processors.processor_gpt4v import GPT4VProcessor
# Assuming GPT4VProcessor has a properly typed `register_processor` method
@GPT4VProcessor.register_processor("gpt4v_cloth_fashion_processor")
class GPT4VClothFashionProcessor(GPT4VProcessor):
def __init__(self, *args: Any, **kwargs: Any) -> None:
super().__init__(*args, **kwargs) # Call to parent class constructor
def init_task_info(self) -> None:
self.task_instruction = "Focus on the cloth of people in the image, describe the style of the cloth fashion. If there is no people detected, please answer with None."
if __name__ == "__main__":
# Instantiate the specific subclass for the cloth fashion task
processor = GPT4VClothFashionProcessor()
image_path = "../ctmai-test1.png"
# Providing a valid query and ensuring `ask_info` is correctly implemented in the base class
summary: str = processor.ask_info(
query="Describe the fashion style", image=image_path
)
print(summary)
|