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Update app.py
Browse files
app.py
CHANGED
@@ -83,7 +83,6 @@ def verify(image, model, person):
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temp_image.write(image.read())
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temp_image_path = temp_image.name
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if face is not None:
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if model == "Siamese":
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siamese = SiameseNetwork()
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siamese.load_state_dict(torch.load(f'siamese_{person.lower()}.pth'))
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@@ -93,17 +92,20 @@ def verify(image, model, person):
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face = get_face(image)
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face
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else:
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st.write("
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elif model == "HOG-SVM":
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with open(f'./svm_{person.lower()}.pkl', 'rb') as f:
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@@ -115,20 +117,21 @@ def verify(image, model, person):
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face = get_face(image)
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face
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else:
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st.write("
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else:
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st.write("Face not detected")
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def main():
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st.title("Face Verification")
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temp_image.write(image.read())
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temp_image_path = temp_image.name
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if model == "Siamese":
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siamese = SiameseNetwork()
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siamese.load_state_dict(torch.load(f'siamese_{person.lower()}.pth'))
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face = get_face(image)
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if face is not None:
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face = preprocess_image_siamese(face)
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with torch.no_grad():
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output = model(face)
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probability = output.item()
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pred = 1.0 if probability > 0.7 else 0.0
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if pred == 1:
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st.write("Match")
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else:
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st.write("Not Match")
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else:
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st.write("Face not detected")
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elif model == "HOG-SVM":
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with open(f'./svm_{person.lower()}.pkl', 'rb') as f:
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face = get_face(image)
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if face is not None:
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face = preprocess_image_svm(face)
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hog = extract_hog_features(face)
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hog_pca = pca.transform([hog])
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pred = svm.predict(hog_pca)
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if pred == 1:
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st.write("Match")
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else:
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st.write("Not Match")
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else:
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st.write("Face not detected")
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def main():
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st.title("Face Verification")
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