ydshieh HF staff commited on
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0941310
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Update README.md

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  1. README.md +9 -4
README.md CHANGED
@@ -57,13 +57,14 @@ print(entities)
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  Once you have the `entities`, you can use the following helper function to draw their bounding bboxes on the image:
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  ```python
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- import os
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  import numpy as np
 
 
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  import torch
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- from PIL import Image
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  import torchvision.transforms as T
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- import cv2
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- import requests
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  def is_overlapping(rect1, rect2):
@@ -178,6 +179,10 @@ def draw_entity_boxes_on_image(image, entities, show=False, save_path=None):
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  return new_image
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  # From the previous code example
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  entities = [('a snowman', (12, 21), [(0.390625, 0.046875, 0.984375, 0.828125)]), ('a fire', (41, 47), [(0.171875, 0.015625, 0.484375, 0.890625)])]
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  Once you have the `entities`, you can use the following helper function to draw their bounding bboxes on the image:
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  ```python
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+ import cv2
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  import numpy as np
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+ import os
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+ import requests
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  import torch
 
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  import torchvision.transforms as T
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+
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+ from PIL import Image
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  def is_overlapping(rect1, rect2):
 
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  return new_image
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+ # (The same image from the previous code example)
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+ url = "https://huggingface.co/ydshieh/kosmos-2-patch14-224/resolve/main/snowman.jpg"
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+ image = Image.open(requests.get(url, stream=True).raw)
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+
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  # From the previous code example
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  entities = [('a snowman', (12, 21), [(0.390625, 0.046875, 0.984375, 0.828125)]), ('a fire', (41, 47), [(0.171875, 0.015625, 0.484375, 0.890625)])]
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