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Code cleanup.

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Sean
2024-10-27 10:08:14 -04:00
parent 6c3b75ec4a
commit 6e2040c8d5
1 changed files with 1 additions and 25 deletions
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26
Models/model_testrunner.py
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@@ -1,27 +1,3 @@
# import sys
# import os
# import glob
# from keras.layers.pooling import MaxPool2D
# sys.path.append('c:/git/keras')
# sys.path.append('c:/git/absl')
# installed
# py -mpip install numpy
# py -mpip show numpy
# py -mpip install tensorflow
# py -mpip show tensorflow
# py -mpip install matplotlib
# c:\users\skess\appdata\local\programs\python\python39\lib\site-packages
# import keras
# from keras.preprocessing.image import ImageDataGenerator
# import numpy as np
# import tensorflow
#model_name='lenet5.h5'
import sys
import os
import glob
@@ -52,7 +28,7 @@ model_name='Weights/resnet50_20241024_270.h5.keras'
# This gets 6.3385902e-12 [0]. I kind of expect this.
#image_path='C:/boneyard/DeepLearning/IndividualValidationCases/NVCR_0_Test_BollingerBand.jpg'
# This gets a 0. This is a good result because ABX_3_Training_BollingerBand.jpg exhibits the pattern we are looking for and is in teh Training set
# This gets a 0. This is a good result because ABX_3_Training_BollingerBand.jpg exhibits the pattern we are looking for and is in the Training set
#image_path='C:/boneyard/DeepLearning/IndividualValidationCases/ABX_3_Training_BollingerBand.jpg'
# This gets 0.9911055 This is a good result because SIG_0_Test_BollingerBand contains a downturn