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Runtime error
Runtime error
Merge branch 'main' of https://huggingface.co/spaces/ossaili/architectural_styles
Browse files- EfficientNetV2B0.h5 +3 -0
- app.py +4 -0
- models.py +7 -0
EfficientNetV2B0.h5
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:f5cff674ff44315dd6fe737b4acd94ca9fc3e96f05c3063bfe098584264e82e3
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size 24507440
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app.py
CHANGED
@@ -5,6 +5,10 @@ from models import efficientnetv2b0_25_arch_styles_Classifier
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demo = gr.Interface(
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efficientnetv2b0_25_arch_styles_Classifier, "image", "label")
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demo.launch()
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demo = gr.Interface(
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<<<<<<< HEAD
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efficientnetv2b0_25_arch_styles_Classifier, "image", "label")
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=======
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efficientnetv2b0_25_arch_styles_Classifier, "image", outputs=["text"])
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>>>>>>> 6dfb3eb853ff6baf202a3117ebb5b61755454768
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demo.launch()
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models.py
CHANGED
@@ -41,9 +41,16 @@ def efficientnetv2b0_25_arch_styles_Classifier(image):
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224, 224), interpolation=cv2.INTER_CUBIC)
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img = tf.expand_dims(resized_image, 0)
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efficientnetv2b0 = tf.keras.models.load_model(
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"models\EfficientNetV2B0.h5")
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y = efficientnetv2b0.predict(img).reshape(-1)
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y = (np.round(y, 3)).tolist()
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return outputs(y)
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224, 224), interpolation=cv2.INTER_CUBIC)
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img = tf.expand_dims(resized_image, 0)
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efficientnetv2b0 = tf.keras.models.load_model(
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<<<<<<< HEAD
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"models\EfficientNetV2B0.h5")
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y = efficientnetv2b0.predict(img).reshape(-1)
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y = (np.round(y, 3)).tolist()
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=======
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"EfficientNetV2B0.h5")
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y = efficientnetv2b0.predict(img).reshape(-1)
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y = (np.round(y, 3)*100).tolist()
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>>>>>>> 6dfb3eb853ff6baf202a3117ebb5b61755454768
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return outputs(y)
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