Wendy commited on
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1 Parent(s): c75bc06

Upload cogagent_infer.py with huggingface_hub

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  1. cogagent_infer.py +4 -2
cogagent_infer.py CHANGED
@@ -6,6 +6,7 @@ from PIL import Image, ImageDraw
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  from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig
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  from typing import List
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  import json
 
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  def draw_boxes_on_image(image: Image.Image, boxes: List[List[float]], save_path: str):
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  """
@@ -122,7 +123,8 @@ def main():
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  with open(args.input_json, "r") as f:
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  data = json.load(f)
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  res = []
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- for x in data:
 
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  img_path = x['image']
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  image = Image.open(img_path).convert("RGB")
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  task = x['conversations'][0]['value']
@@ -189,7 +191,7 @@ def main():
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  draw_boxes_on_image(image, boxes, output_path)
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  #print(f"Annotated image saved at: {output_path}")
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  ans = {
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- 'query': query,
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  'response': response,
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  'output_path': output_path
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  }
 
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  from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig
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  from typing import List
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  import json
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+ form tqdm import tqdm
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  def draw_boxes_on_image(image: Image.Image, boxes: List[List[float]], save_path: str):
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  """
 
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  with open(args.input_json, "r") as f:
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  data = json.load(f)
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  res = []
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+ for i in tqdm(range(len(data))):
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+ x = data[i]
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  img_path = x['image']
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  image = Image.open(img_path).convert("RGB")
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  task = x['conversations'][0]['value']
 
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  draw_boxes_on_image(image, boxes, output_path)
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  #print(f"Annotated image saved at: {output_path}")
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  ans = {
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+ 'query': f"Round {round_num} query:\n{query}",
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  'response': response,
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  'output_path': output_path
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  }