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KananMahammadli/test.py

Created August 21, 2021 13:06
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test.py
predicted_labels = (model.predict(test_images) >= 0.5).astype('int64').flatten()
row = 3
col = 4
fig, axes = plt.subplots(row, col, figsize=(16, 14))
c = 0
for i in range(row):
for j in range(col):
axes[i][j].imshow(test_images[c])
axes[i][j].set_title(f'Predicted: {get_label(predicted_labels[c])}', fontsize=14)
axes[i][j].set_xlabel(f'Actual: {get_label(test_labels[c])}', fontsize=14)
c += 1
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