Created
December 9, 2020 01:47
-
-
Save PhilipPurwoko/f9f04585cc43c5c4936296da052aa70b to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
def predict(unseen_image = []): | |
test_data = batchData(unseen_image,for_test=True) | |
prediction = model.predict(test_data) | |
for image,pred in zip(unseen_image,prediction): | |
fig,axes = plt.subplots(nrows=1,ncols=2) | |
axes[0].imshow(processImage(image)) | |
axes[0].axis(False) | |
axes[0].set_title('Actual Image') | |
axes[1].bar([0,1],pred) | |
axes[1].set_xticks([0,1]) | |
axes[1].set_xticklabels(['with_mask','without_mask']) | |
axes[1].set_title('Prediction Probability') | |
plt.savefig(f'output/prediction_test_{image.split("/")[-1].split(".")[0]}.jpg') | |
plt.show() | |
predict(list(map(lambda x : f'test/{x}', os.listdir('test')))) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment