b8f005eebd686c3e16b3a3603f294db0013a569e,src/predict.py,,,#,47
Before Change
if os.path.isfile(out_file):
continue
pred = predict(segmenter, imfile, target_shape=(dw, dh))
res = cv2.imwrite(out_file, pred)
print("")
After Change
if mode == "pillow":
pred_final = predict_pillow(segmenter, imfile, h=dh, w=dw)
// pred_final.save(out_file)
elif mode == "opencv":
pred_final = predict_opencv(segmenter, imfile, h=dh, w=dw)
// res = cv2.imwrite(out_file, pred_final)
elif mode == "skimage":
pred_final = predict_skimage(segmenter, imfile, h=dh, w=dw)
// res = io.imsave(out_file, pred_final)
// break
print("")
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 4
Instances
Project Name: PavlosMelissinos/enet-keras
Commit Name: b8f005eebd686c3e16b3a3603f294db0013a569e
Time: 2017-04-07
Author: pmelissi@iti.gr
File Name: src/predict.py
Class Name:
Method Name:
Project Name: deepfakes/faceswap
Commit Name: b3ae6130ed4714852211a6e8cb56de66450da83c
Time: 2018-02-07
Author: Github@clorr.fr
File Name: scripts/extract.py
Class Name: ExtractTrainingData
Method Name: process
Project Name: utkuozbulak/pytorch-cnn-visualizations
Commit Name: 83d02d08feabaca88b65875318cb79a5e9e7b9c4
Time: 2018-11-17
Author: utku.ozbulak@gmail.com
File Name: src/generate_class_specific_samples.py
Class Name: ClassSpecificImageGeneration
Method Name: generate