edgarriba commited on
Commit
33ea7b9
1 Parent(s): 64a1302

remove opencv and torch imports

Browse files
Files changed (1) hide show
  1. app.py +7 -12
app.py CHANGED
@@ -1,21 +1,16 @@
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  import gradio as gr
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- import cv2
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- import torch
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  import kornia as K
 
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- def load_torch_image(fname):
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- img = K.image_to_tensor(fname, False).float() / 255.
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- img = K.color.bgr_to_rgb(img)
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- return img
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- def enhance(file, brightness, contrast, saturation, gamma, hue):
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- fname = file.name
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- im = cv2.imread(fname)
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- img = load_torch_image(im)
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-
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- x_out: torch.Tensor = K.enhance.adjust_brightness(img, float(brightness))
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  x_out = K.enhance.adjust_contrast(x_out, float(contrast))
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  x_out = K.enhance.adjust_saturation(x_out, float(saturation))
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  x_out = K.enhance.adjust_gamma(x_out, float(gamma))
 
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  import gradio as gr
 
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  import kornia as K
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+ from kornia.core import Tensor
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+ def enhance(file, brightness, contrast, saturation, gamma, hue):
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+ # load the image using the rust backend
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+ img: Tensor = K.io.load_image(file.name, K.io.ImageLoadType.RGB32)
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+ img = img[None] / 255.
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+ # apply tensor image enhancement
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+ x_out: Tensor = K.enhance.adjust_brightness(img, float(brightness))
 
 
 
 
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  x_out = K.enhance.adjust_contrast(x_out, float(contrast))
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  x_out = K.enhance.adjust_saturation(x_out, float(saturation))
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  x_out = K.enhance.adjust_gamma(x_out, float(gamma))