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  1. README.md +3 -3
README.md CHANGED
@@ -105,7 +105,7 @@ Either load the pipeline
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  from transformers import pipeline
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  image_path = "https://farm5.staticflickr.com/4007/4322154488_997e69e4cf_z.jpg"
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  pipe = pipeline("image-segmentation", model="briaai/RMBG-1.4", trust_remote_code=True)
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- pillow_mask = pipe(img_path, return_mask = True) # outputs a pillow mask
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  pillow_image = pipe(image_path) # applies mask on input and returns a pillow image
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  ```
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@@ -137,7 +137,7 @@ model.to(device)
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  # prepare input
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  image_path = "https://farm5.staticflickr.com/4007/4322154488_997e69e4cf_z.jpg"
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- orig_im = io.imread(im_path)
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  orig_im_size = orig_im.shape[0:2]
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  image = preprocess_image(orig_im, model_input_size).to(device)
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@@ -150,7 +150,7 @@ result_image = postprocess_image(result[0][0], orig_im_size)
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  # save result
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  pil_im = Image.fromarray(result_image)
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  no_bg_image = Image.new("RGBA", pil_im.size, (0,0,0,0))
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- orig_image = Image.open(im_path)
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  no_bg_image.paste(orig_image, mask=pil_im)
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  ```
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  from transformers import pipeline
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  image_path = "https://farm5.staticflickr.com/4007/4322154488_997e69e4cf_z.jpg"
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  pipe = pipeline("image-segmentation", model="briaai/RMBG-1.4", trust_remote_code=True)
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+ pillow_mask = pipe(image_path, return_mask = True) # outputs a pillow mask
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  pillow_image = pipe(image_path) # applies mask on input and returns a pillow image
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  ```
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  # prepare input
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  image_path = "https://farm5.staticflickr.com/4007/4322154488_997e69e4cf_z.jpg"
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+ orig_im = io.imread(image_path)
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  orig_im_size = orig_im.shape[0:2]
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  image = preprocess_image(orig_im, model_input_size).to(device)
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  # save result
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  pil_im = Image.fromarray(result_image)
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  no_bg_image = Image.new("RGBA", pil_im.size, (0,0,0,0))
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+ orig_image = Image.open(image_path)
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  no_bg_image.paste(orig_image, mask=pil_im)
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  ```
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