Update app.py
Browse files
app.py
CHANGED
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@@ -46,6 +46,20 @@ for f in os.listdir("data"):
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# known_persons.append(os.path.splitext(os.path.basename(f))[0])
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known_persons.append(os.path.basename(f))
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import gradio as gr
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@@ -63,6 +77,10 @@ def greet(image_to_test):
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os.path.splitext(filepath)[0],
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100 * (1 - face_distance))
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img = face_recognition.load_image_file(os.path.join("data", filepath))
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return img, ret
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iface = gr.Interface(fn=greet, inputs=gr.Image(source="webcam", streaming=True, type="numpy"), outputs=["image", "text"])
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# known_persons.append(os.path.splitext(os.path.basename(f))[0])
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known_persons.append(os.path.basename(f))
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import tempfile
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from face_symmetrizer import FaceSym
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def left_right_sim(img):
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tmpf = tempfile.NamedTemporaryFile(delete=False)
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img.save(tmpf.name, format='png')
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f = FaceSym(tmpf.name)
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_, left, _, _, right, _ = f.get_symmetrized_images(idx=0)
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tmpf.close()
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os.unlink(tmpf.name)
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left_encoding = face_recognition.face_encodings(left)[0]
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right_encoding = face_recognition.face_encodings(right)[0]
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diff = face_recognition.face_distance([left_encoding], right_encoding)
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return 100 * (1 - diff)
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import gradio as gr
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os.path.splitext(filepath)[0],
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100 * (1 - face_distance))
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img = face_recognition.load_image_file(os.path.join("data", filepath))
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ret += "\n\n \
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The similarity (symmetry score) of \
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left and right face = {:.3}".format(
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left_right_sim(image_to_test))
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return img, ret
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iface = gr.Interface(fn=greet, inputs=gr.Image(source="webcam", streaming=True, type="numpy"), outputs=["image", "text"])
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