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Gaetano Parente
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82f7563
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Parent(s):
5d81264
fix
Browse files- modules/__pycache__/binary_classification.cpython-311.pyc +0 -0
- modules/__pycache__/image_classification.cpython-311.pyc +0 -0
- modules/__pycache__/multilabel_classification.cpython-311.pyc +0 -0
- modules/binary_classification.py +0 -2
- modules/image_classification.py +0 -3
- modules/multilabel_classification.py +10 -2
modules/__pycache__/binary_classification.cpython-311.pyc
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Binary files a/modules/__pycache__/binary_classification.cpython-311.pyc and b/modules/__pycache__/binary_classification.cpython-311.pyc differ
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modules/__pycache__/image_classification.cpython-311.pyc
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Binary files a/modules/__pycache__/image_classification.cpython-311.pyc and b/modules/__pycache__/image_classification.cpython-311.pyc differ
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modules/__pycache__/multilabel_classification.cpython-311.pyc
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Binary files a/modules/__pycache__/multilabel_classification.cpython-311.pyc and b/modules/__pycache__/multilabel_classification.cpython-311.pyc differ
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modules/binary_classification.py
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@@ -4,8 +4,6 @@ import re
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import keras.models as models
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from nltk.corpus import stopwords
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import nltk
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import os
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from flask import jsonify
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import modules.utilities.utils as utils
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BASE_PATH = './data/'
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import keras.models as models
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from nltk.corpus import stopwords
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import nltk
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import modules.utilities.utils as utils
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BASE_PATH = './data/'
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modules/image_classification.py
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@@ -1,9 +1,6 @@
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import cv2
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import numpy as np
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import keras.models as models
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from flask import jsonify
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import os
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from modules.utilities.utils import allowed_model
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IMAGE_SIZE = (224, 224)
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class_names = ['Tubercolosi', 'No_Tubercolosi', 'Pneumonia', 'No_Pneumonia']
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import cv2
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import numpy as np
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import keras.models as models
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IMAGE_SIZE = (224, 224)
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class_names = ['Tubercolosi', 'No_Tubercolosi', 'Pneumonia', 'No_Pneumonia']
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modules/multilabel_classification.py
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@@ -1,5 +1,3 @@
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import os
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from flask import jsonify
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from keras_preprocessing.sequence import pad_sequences
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import modules.utilities.utils as utils
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import keras.models as models
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@@ -21,10 +19,20 @@ def predict(model_path, tokenizer_path, sentence):
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tokenizer = utils.load_tokenizer(tokenizer_path)
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x_data = []
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x_data.append(sentence)
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x_tokenized = tokenizer.texts_to_sequences(x_data)
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x_pad = pad_sequences(x_tokenized, maxlen=200)
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x_t = x_pad[0]
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prediction = model.predict(np.array([x_t]))
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#predicted_label = class_names[np.argmax(prediction[0])]
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return prediction#, predicted_label
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from keras_preprocessing.sequence import pad_sequences
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import modules.utilities.utils as utils
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import keras.models as models
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tokenizer = utils.load_tokenizer(tokenizer_path)
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x_data = []
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x_data.append(sentence)
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print('x_data')
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print(x_data)
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x_tokenized = tokenizer.texts_to_sequences(x_data)
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print('x_tokenized')
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print(x_tokenized)
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x_pad = pad_sequences(x_tokenized, maxlen=200)
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print('x_pad')
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print(x_pad)
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x_t = x_pad[0]
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print('x_t')
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print(x_t)
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prediction = model.predict(np.array([x_t]))
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print('prediction')
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print(prediction)
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#predicted_label = class_names[np.argmax(prediction[0])]
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return prediction#, predicted_label
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