Update app.py
Browse files
app.py
CHANGED
@@ -26,13 +26,15 @@ from face_inpainting import FaceInpainting
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def inference(file, mode):
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if mode == "enhance":
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img, orig_faces, enhanced_faces = faceenhancer.process(im)
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cv2.imwrite(os.path.join("output.png"), img)
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return os.path.join("output.png")
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elif mode == "colorize":
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model = {'name':'GPEN-1024-Color', 'size':1024}
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grayf = cv2.imread(file, cv2.IMREAD_GRAYSCALE)
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@@ -45,11 +47,13 @@ def inference(file, mode):
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elif mode == "inpainting":
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model = {'name':'GPEN-Inpainting-1024', 'size':1024}
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faceinpainter = FaceInpainting(size=model['size'], model=model['name'], channel_multiplier=2, device='cpu')
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inpaint = faceinpainter.process(im)
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cv2.imwrite(os.path.join("output.png"), inpaint)
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return os.path.join("output.png")
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elif mode == "selfie":
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model = {'name':'GPEN-BFR-2048', 'size':2048}
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faceenhancer = FaceEnhancement(size=model['size'], model=model['name'], channel_multiplier=2, device='cpu')
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img, orig_faces, enhanced_faces = faceenhancer.process(im)
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cv2.imwrite(os.path.join("output.png"), img)
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def inference(file, mode):
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im_orig = cv2.imread(file, cv2.IMREAD_COLOR)
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im = cv2.resize(im_orig, (0,0), fx=2, fy=2)
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faceenhancer = FaceEnhancement(size=512, model='GPEN-512', channel_multiplier=2, device='cpu', u=False)
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img, orig_faces, enhanced_faces = faceenhancer.process(im)
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cv2.imwrite(os.path.join("e.png"), img)
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if mode == "enhance":
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return os.path.join("e.png")
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elif mode == "colorize":
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model = {'name':'GPEN-1024-Color', 'size':1024}
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grayf = cv2.imread(file, cv2.IMREAD_GRAYSCALE)
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elif mode == "inpainting":
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model = {'name':'GPEN-Inpainting-1024', 'size':1024}
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faceinpainter = FaceInpainting(size=model['size'], model=model['name'], channel_multiplier=2, device='cpu')
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im = np.asarray(brush_stroke_mask(Image.fromarray(im_orig)))
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inpaint = faceinpainter.process(im)
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cv2.imwrite(os.path.join("output.png"), inpaint)
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return os.path.join("output.png")
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elif mode == "selfie":
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model = {'name':'GPEN-BFR-2048', 'size':2048}
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im = cv2.resize(im, (0,0), fx=4, fy=4)
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faceenhancer = FaceEnhancement(size=model['size'], model=model['name'], channel_multiplier=2, device='cpu')
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img, orig_faces, enhanced_faces = faceenhancer.process(im)
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cv2.imwrite(os.path.join("output.png"), img)
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