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import gradio as gr |
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import insightface |
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from insightface.app import FaceAnalysis |
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wellcomingMessage = """ |
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<h1>Face Swapping</h1> |
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<p>If you like this app, plase take a look at my <a href="https://www.meetup.com/tech-web3-enthusiasts-united-insightful-conversations/" target="_blank">Meetup Group</a>! There will be more interesting apps and events soon.</p> |
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<p>Happy <span style="font-size:500%;color:red;">♥</span> coding!</p> |
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""" |
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assert insightface.__version__>='0.7' |
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value = 0 |
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app = FaceAnalysis(name='buffalo_l') |
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app.prepare(ctx_id=0, det_size=(640, 640)) |
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swapper = insightface.model_zoo.get_model('inswapper_128.onnx', download=True, download_zip=True) |
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def swap_faces(faceSource, sourceFaceId, faceDestination, destFaceId): |
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faces = app.get(faceSource) |
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faces = sorted(faces, key = lambda x : x.bbox[0]) |
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if len(faces) < sourceFaceId or sourceFaceId < 1: |
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raise gr.Error(f"Source image only contains {len(faces)} faces, but you requested face {sourceFaceId}") |
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source_face = faces[sourceFaceId-1] |
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res_faces = app.get(faceDestination) |
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res_faces = sorted(res_faces, key = lambda x : x.bbox[0]) |
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if len(res_faces) < destFaceId or destFaceId < 1: |
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raise gr.Error(f"Destination image only contains {len(res_faces)} faces, but you requested face {destFaceId}") |
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res_face = res_faces[destFaceId-1] |
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result = swapper.get(faceDestination, res_face, source_face, paste_back=True) |
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global value |
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value = value + 1 |
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print(f"processed: {value}...") |
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return result |
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gr.Interface(swap_faces, |
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[ |
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gr.Image(), |
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gr.Number(precision=0, value=1, info='face position (from left, starting at 1)'), |
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gr.Image(), |
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gr.Number(precision=0, value=1, info='face position (from left, starting at 1)') |
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], |
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gr.Image(), |
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description=wellcomingMessage, |
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examples=[ |
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['./Images/kim.jpg', 1, './Images/marilyn.jpg', 1], |
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['./Images/friends.jpg', 2, './Images/friends.jpg', 1], |
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], |
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).launch() |
