Poprawienie ścieżek z bezwzględnych na względne.
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<?xml version="1.0" encoding="UTF-8"?>
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<?xml version="1.0" encoding="UTF-8"?>
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<project version="4">
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<project version="4">
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<component name="ProjectRootManager" version="2" project-jdk-name="Python 3.7 (untitled2)" project-jdk-type="Python SDK" />
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<component name="ProjectRootManager" version="2" project-jdk-name="Python 3.9" project-jdk-type="Python SDK" />
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</project>
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</project>
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@ -2,7 +2,7 @@
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<module type="PYTHON_MODULE" version="4">
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<module type="PYTHON_MODULE" version="4">
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<component name="NewModuleRootManager">
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<component name="NewModuleRootManager">
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<content url="file://$MODULE_DIR$" />
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<content url="file://$MODULE_DIR$" />
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<orderEntry type="jdk" jdkName="Python 3.7 (untitled2)" jdkType="Python SDK" />
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<orderEntry type="inheritedJdk" />
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<orderEntry type="sourceFolder" forTests="false" />
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<orderEntry type="sourceFolder" forTests="false" />
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</component>
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</component>
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</module>
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</module>
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@ -1,7 +1,12 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<?xml version="1.0" encoding="UTF-8"?>
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<project version="4">
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<project version="4">
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<component name="ChangeListManager">
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<component name="ChangeListManager">
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<list default="true" id="9f88f6ee-b4a6-4771-930e-edad9600a746" name="Default Changelist" comment="" />
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<list default="true" id="9f88f6ee-b4a6-4771-930e-edad9600a746" name="Default Changelist" comment="">
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<change beforePath="$PROJECT_DIR$/.idea/workspace.xml" beforeDir="false" afterPath="$PROJECT_DIR$/.idea/workspace.xml" afterDir="false" />
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<change beforePath="$PROJECT_DIR$/neural_network.py" beforeDir="false" afterPath="$PROJECT_DIR$/neural_network.py" afterDir="false" />
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<change beforePath="$PROJECT_DIR$/neural_network2.py" beforeDir="false" afterPath="$PROJECT_DIR$/neural_network2.py" afterDir="false" />
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<change beforePath="$PROJECT_DIR$/neural_network_vers2.py" beforeDir="false" afterPath="$PROJECT_DIR$/neural_network_vers2.py" afterDir="false" />
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</list>
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<option name="SHOW_DIALOG" value="false" />
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<option name="SHOW_DIALOG" value="false" />
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<option name="HIGHLIGHT_CONFLICTS" value="true" />
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<option name="HIGHLIGHT_CONFLICTS" value="true" />
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<option name="HIGHLIGHT_NON_ACTIVE_CHANGELIST" value="false" />
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<option name="HIGHLIGHT_NON_ACTIVE_CHANGELIST" value="false" />
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@ -42,7 +47,7 @@
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<recent name="C:\Users\micha\Desktop\smieciara" />
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<recent name="C:\Users\micha\Desktop\smieciara" />
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</key>
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</key>
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</component>
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</component>
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<component name="RunManager" selected="Python.genetic_algorithm (1)">
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<component name="RunManager" selected="Python.main">
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<configuration name="genetic_algorithm (1)" type="PythonConfigurationType" factoryName="Python" temporary="true">
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<configuration name="genetic_algorithm (1)" type="PythonConfigurationType" factoryName="Python" temporary="true">
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<module name="smieciara" />
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<module name="smieciara" />
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<option name="INTERPRETER_OPTIONS" value="" />
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<option name="INTERPRETER_OPTIONS" value="" />
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@ -92,7 +97,7 @@
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<envs>
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<envs>
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<env name="PYTHONUNBUFFERED" value="1" />
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<env name="PYTHONUNBUFFERED" value="1" />
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</envs>
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</envs>
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<option name="SDK_HOME" value="C:\Users\Natalia\PycharmProjects\untitled2\venv\Scripts\python.exe" />
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<option name="SDK_HOME" value="/usr/local/bin/python3.9" />
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<option name="WORKING_DIRECTORY" value="$PROJECT_DIR$" />
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<option name="WORKING_DIRECTORY" value="$PROJECT_DIR$" />
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<option name="IS_MODULE_SDK" value="false" />
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<option name="IS_MODULE_SDK" value="false" />
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<option name="ADD_CONTENT_ROOTS" value="true" />
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<option name="ADD_CONTENT_ROOTS" value="true" />
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@ -106,11 +111,16 @@
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<option name="INPUT_FILE" value="" />
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<option name="INPUT_FILE" value="" />
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<method v="2" />
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<method v="2" />
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</configuration>
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</configuration>
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<list>
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<item itemvalue="Python.genetic_algorithm" />
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<item itemvalue="Python.genetic_algorithm (1)" />
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<item itemvalue="Python.main" />
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</list>
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<recent_temporary>
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<recent_temporary>
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<list>
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<list>
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<item itemvalue="Python.main" />
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<item itemvalue="Python.genetic_algorithm (1)" />
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<item itemvalue="Python.genetic_algorithm (1)" />
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<item itemvalue="Python.genetic_algorithm" />
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<item itemvalue="Python.genetic_algorithm" />
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<item itemvalue="Python.main" />
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</list>
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</list>
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</recent_temporary>
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</recent_temporary>
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</component>
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</component>
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@ -138,6 +148,29 @@
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<option name="presentableId" value="Default" />
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<option name="presentableId" value="Default" />
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<updated>1615920190869</updated>
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<updated>1615920190869</updated>
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</task>
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</task>
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<task id="LOCAL-00001" summary="Dodanie projektu">
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<created>1624381365660</created>
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<option name="number" value="00001" />
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<option name="presentableId" value="LOCAL-00001" />
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<option name="project" value="LOCAL" />
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<updated>1624381365660</updated>
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</task>
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<option name="localTasksCounter" value="2" />
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<servers />
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<servers />
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</component>
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</component>
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<component name="Vcs.Log.Tabs.Properties">
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<option name="TAB_STATES">
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<map>
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<entry key="MAIN">
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<value>
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<State />
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</value>
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</entry>
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</map>
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</option>
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</component>
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<component name="VcsManagerConfiguration">
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<MESSAGE value="Dodanie projektu" />
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<option name="LAST_COMMIT_MESSAGE" value="Dodanie projektu" />
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</component>
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</project>
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</project>
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@ -48,6 +48,6 @@ history = model.fit(x=X_train, y=y_train, validation_split=0.1, epochs=100, batc
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#model.evaluate(X_test, y_test)
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#model.evaluate(X_test, y_test)
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model.save('C:/Users/Natalia/Desktop/lsm04/smieciara/saved_model')
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model.save('./saved_model')
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@ -14,7 +14,7 @@ def b():
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a = dff.sample()
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a = dff.sample()
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pred(a)
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pred(a)
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model = tf.keras.models.load_model('C:/Users/Natalia/Desktop/lsm04/smieciara/saved_model')
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model = tf.keras.models.load_model('./saved_model')
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def pred(a):
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def pred(a):
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@ -8,15 +8,15 @@ from PIL import Image
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img_height = 180
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img_height = 180
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img_width = 180
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img_width = 180
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class_names=['glass','metal','paper','plastic']
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class_names=['glass','metal','paper','plastic']
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model = tf.keras.models.load_model('C:/Users/Natalia/Desktop/lsm04/smieciara/saved_model_vers2')
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model = tf.keras.models.load_model('./saved_model_vers2')
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def predict():
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def predict():
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path="C:/Users/Natalia/Documents/dane_testowe"
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path="./dane_testowe"
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files=os.listdir(path)
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files=os.listdir(path)
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d=random.choice(files)
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d=random.choice(files)
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im = Image.open("C:/Users/Natalia/Documents/dane_testowe/" + d)
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im = Image.open("./dane_testowe/" + d)
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im.show()
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im.show()
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img = keras.preprocessing.image.load_img(
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img = keras.preprocessing.image.load_img(
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"C:/Users/Natalia/Documents/dane_testowe/" + d, target_size=(img_height, img_width)
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"./dane_testowe/" + d, target_size=(img_height, img_width)
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)
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)
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img_array = keras.preprocessing.image.img_to_array(img)
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img_array = keras.preprocessing.image.img_to_array(img)
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img_array = tf.expand_dims(img_array, 0) # Create a batch
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img_array = tf.expand_dims(img_array, 0) # Create a batch
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