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Update pages/Entorno de Ejecución.py
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pages/Entorno de Ejecución.py
CHANGED
@@ -182,7 +182,8 @@ with vit:
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#classifier = pipeline("image-classification", model= model_dict[model_choice[0]])
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img = preprocess(uploaded_file, module = 'pil')
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-
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#def vit_ensemble(classifier_list, img):
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# y_gorrito = 0
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# for classifier in classifier_list:
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@@ -192,17 +193,17 @@ with vit:
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# y_gorrito += clase["score"]
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# return y_gorrito / len(classifier_list)
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models = [
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st.write(type(models), models)
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#st.write(model_choice)
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y_gorrito = 0
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#y_gorrito = query(uploaded_file.read(), model_choice[0])[1]["score"]
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i = -1
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for model in
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i+=1
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y_gorrito += query(uploaded_file.read(),
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y_gorrito /= i
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#st.write("y gorrito calculado", len(model_choice))
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#classifier = pipeline("image-classification", model= model_dict[model_choice[0]])
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img = preprocess(uploaded_file, module = 'pil')
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models = [model_dict[model] for model in model_choice]
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st.write(models)
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#def vit_ensemble(classifier_list, img):
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# y_gorrito = 0
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# for classifier in classifier_list:
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# y_gorrito += clase["score"]
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# return y_gorrito / len(classifier_list)
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#models = [model_dict[i] for i in range(len(model_choice))]
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#st.write(type(models), models)
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#st.write(model_choice)
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y_gorrito = 0
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#y_gorrito = query(uploaded_file.read(), model_choice[0])[1]["score"]
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i = -1
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for model in models:
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i+=1
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y_gorrito += query(uploaded_file.read(), model)
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y_gorrito /= i
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#st.write("y gorrito calculado", len(model_choice))
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