github/DeepFaceLab
1
0
Fork 0
mirror of https://github.com/iperov/DeepFaceLab.git synced 2025-08-22 06:23:20 -07:00
Code Issues Projects Releases Packages Wiki Activity Actions

added alternative preview

Browse source
This commit is contained in:
Jan 2021-12-09 18:05:19 +01:00
commit 84cb803d2a
1 changed files with 23 additions and 15 deletions
Download patch file Download diff file Expand all files Collapse all files

38
models/Model_AMP/Model.py
View file

@ -938,28 +938,36 @@ class AMPModel(ModelBase):
result = []
i = np.random.randint(n_samples) if not for_history else 0
#i = np.random.randint(n_samples) if not for_history else 0
for i in range(n_samples if not for_history else 1):
if filenames is not None and len(filenames) > 0:
S[i] = label_face_filename(S[i], filenames[0][i])
D[i] = label_face_filename(D[i], filenames[1][i])
st = []
for i in range(n_samples):
st += [ np.concatenate ((S[i], D[i], DD[i]*DDM_000[i]), axis=1) ]
st += [ np.concatenate ((SS[i], DD[i], SD_100[i] ), axis=1) ]
result += [ ('AMP morph 1.0', np.concatenate (st, axis=0 )), ]
st = []
for i in range(n_samples):
st += [ np.concatenate ((DD[i], SD_025[i], SD_050[i]), axis=1) ]
st = []
temp_r = []
for i in range(n_samples if not for_history else 1):
st = [ np.concatenate ((S[i], SS[i], D[i]), axis=1) ]
st += [ np.concatenate ((DD[i], DD[i]*DDM_000[i], SD_100[i] ), axis=1) ]
temp_r += [ np.concatenate (st, axis=1) ]
result += [ ('AMP morph 1.0', np.concatenate (temp_r, axis=0 )), ]
# result += [ ('AMP morph 1.0', np.concatenate (st, axis=0 )), ]
st = []
temp_r = []
for i in range(n_samples if not for_history else 1):
st = [ np.concatenate ((DD[i], SD_025[i], SD_050[i]), axis=1) ]
st += [ np.concatenate ((SD_065[i], SD_075[i], SD_100[i]), axis=1) ]
result += [ ('AMP morph list', np.concatenate (st, axis=0 )), ]
st = []
for i in range(n_samples):
st += [ np.concatenate ((DD[i], SD_025[i]*DDM_025[i]*SDM_025[i], SD_050[i]*DDM_050[i]*SDM_050[i]), axis=1) ]
temp_r += [ np.concatenate (st, axis=1) ]
result += [ ('AMP morph list', np.concatenate (temp_r, axis=0 )), ]
#result += [ ('AMP morph list', np.concatenate (st, axis=0 )), ]
st = []
temp_r = []
for i in range(n_samples if not for_history else 1):
st = [ np.concatenate ((DD[i], SD_025[i]*DDM_025[i]*SDM_025[i], SD_050[i]*DDM_050[i]*SDM_050[i]), axis=1) ]
st += [ np.concatenate ((SD_065[i]*DDM_065[i]*SDM_065[i], SD_075[i]*DDM_075[i]*SDM_075[i], SD_100[i]*DDM_100[i]*SDM_100[i]), axis=1) ]
result += [ ('AMP morph list masked', np.concatenate (st, axis=0 )), ]
temp_r += [ np.concatenate (st, axis=1) ]
result += [ ('AMP morph list masked', np.concatenate (temp_r, axis=0 )), ]
#result += [ ('AMP morph list masked', np.concatenate (st, axis=0 )), ]
return result