keras TF updates, template
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@ -20,9 +20,6 @@
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# wz-load
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# Load a sample from a SciAps LIBS
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#
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# Sample files can be found here:
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# https://ordar.otelo.univ-lorraine.fr/record?id=10.24396/ORDAR-65
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#
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# Usage:
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# witzit-load.py
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# Example:
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@ -44,10 +41,8 @@ from tensorflow.python.keras.layers import Convolution2D, MaxPooling2D, ZeroPadd
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from tensorflow.python.keras.layers import Input, concatenate
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from tensorflow.python.keras.models import load_model
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from tensorflow.python.keras.models import Model
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from tensorflow.python.keras.preprocessing import image
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from tensorflow.python.keras.preprocessing.image import img_to_array
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from tensorflow.python.keras.preprocessing.image import ImageDataGenerator
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from tensorflow.python.keras.preprocessing.image import load_img
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from keras.preprocessing import image
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from keras.preprocessing.image import ImageDataGenerator
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# from tensorflow.python.keras.utils import plot_model
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from tensorflow.python.keras.callbacks import ModelCheckpoint
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@ -57,7 +52,7 @@ print("Num GPUs Available: ", len(tf.config.experimental.list_physical_devices("
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print("Num CPUs Available: ", len(tf.config.experimental.list_physical_devices("CPU")))
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print(tf.config.experimental.list_physical_devices())
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file_url = "samples/BAJ4B-S4b/BAJ4B-S4b_20200504_095456_AM_Spectrum_PixelData.csv"
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file_url = "template/sciaps-x555.csv"
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# Read with panda for now...
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dataframe = pd.read_csv(file_url)
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