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Warp generated images to better fit the original face #7

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deepfakes opened this issue Dec 19, 2017 · 0 comments
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Warp generated images to better fit the original face #7

deepfakes opened this issue Dec 19, 2017 · 0 comments
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dev opencv

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@deepfakes
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I added a first draft for this. It sometimes gives better results:

example1

example2

Note: In order to use it, you will have to DL the landmarks file from Dlib
http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2
kvrooman added a commit to kvrooman/faceswap_ that referenced this issue Mar 28, 2018
@kvrooman
Removing some accidently modified files from pull request deepfakes#7
a0076ec
kvrooman pushed a commit to kvrooman/faceswap_ that referenced this issue Feb 26, 2019
@torzdf @kvrooman
# This is a combination of 15 commits.
3c7c454 
# This is the 1st commit message:

remove gan_v2_2

# The commit message #2 will be skipped:

# Add mask loss options to config

# The commit message #3 will be skipped:

# Creating Input Size config for models
#
# Creating Input Size config for models
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# Will be used downstream in converters.
#
# Also name change of image_shape to input_shape to clarify ( for future models with potentially different output_shapes)

# The commit message #4 will be skipped:

# MTCNN options to config.ini. Remove GAN config. Update USAGE.md

# The commit message #5 will be skipped:

# Add sliders for numerical values in GUI

# The commit message deepfakes#6 will be skipped:

# Add config plugins menu to gui. Validate config

# The commit message deepfakes#7 will be skipped:

# Only backup model if loss has dropped. Get training working again

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# bugfixes

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# Standardise loss printing

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# GUI idle cpu fixes. Graph loss fix.

# The commit message deepfakes#11 will be skipped:

# cleanup test code

# The commit message deepfakes#12 will be skipped:

# Update seg_face.py

# The commit message deepfakes#13 will be skipped:

# Update seg_face.py

# The commit message deepfakes#14 will be skipped:

# Update seg_face.py

# The commit message deepfakes#15 will be skipped:

# Create blur.py
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@deepfakes