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image-classification

Image Classification generic

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image-classification / pipeline.py

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osanseviero HF staff

Create pipeline.py

e8e50c3 over 2 years ago

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	from typing import Dict, List, Any
	from PIL import Image

	class PreTrainedPipeline():
	def __init__(self, path=""):
	# IMPLEMENT_THIS
	# Preload all the elements you are going to need at inference.
	# For instance your model, processors, tokenizer that might be needed.
	# This function is only called once, so do all the heavy processing I/O here"""
	raise NotImplementedError(
	"Please implement PreTrainedPipeline __init__ function"
	)

	def __call__(self, inputs: "Image.Image") -> List[Dict[str, Any]]:
	"""
	Args:
	inputs (:obj:`PIL.Image`):
	The raw image representation as PIL.
	No transformation made whatsoever from the input. Make all necessary transformations here.
	Return:
	A :obj:`list`:. The list contains items that are dicts should be liked {"label": "XXX", "score": 0.82}
	It is preferred if the returned list is in decreasing `score` order
	"""
	# IMPLEMENT_THIS
	raise NotImplementedError(
	"Please implement PreTrainedPipeline __call__ function"
	)