famousdetectiveadrianmonk commited on
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Update README.md

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  1. README.md +14 -5
README.md CHANGED
@@ -55,8 +55,7 @@ Person:
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  Provide the description as a JSON object matching the schema.
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  """
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- dataset = load_dataset('person-attributes')
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-
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  msgs = []
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  for gender, age, race in product(
@@ -92,17 +91,27 @@ for gender, age, race in product(
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  {'role': 'assistant', 'content': [answer]},
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  ])
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-
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  img = Image.open(...)
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- resize_img = img.resize((256,256)) # or crop
 
 
 
 
 
 
 
 
 
 
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  for _ in range(10):
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  try:
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  res = model.chat(
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  image=None,
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  msgs= [*msgs,
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- {'role': 'user', 'content': [resize_img, question]}],
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  tokenizer=tokenizer
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  )
 
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  Provide the description as a JSON object matching the schema.
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  """
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+ dataset = load_dataset('famousdetectiveadrianmonk/person-attributes-fewshot')['train']
 
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  msgs = []
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  for gender, age, race in product(
 
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  {'role': 'assistant', 'content': [answer]},
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  ])
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+ del dataset
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  img = Image.open(...)
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+ resized_img = img.resize((256,256)) # or crop
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+
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+
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+ if False:
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+ # you can test with this example image
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+ dataset = load_dataset("TryOnVirtual/VITON-HD-Captions")
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+ example = dataset['train'].shuffle().take(1)[0]
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+ img = example['image']
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+ crop_size = min(img.size)
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+ resized_img = img.crop((0,0,crop_size,crop_size)).resize((256,256))
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+
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  for _ in range(10):
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  try:
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  res = model.chat(
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  image=None,
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  msgs= [*msgs,
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+ {'role': 'user', 'content': [resized_img, question]}],
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  tokenizer=tokenizer
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  )