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Jan 2021-12-09 18:05:19 +01:00
commit 84cb803d2a
1 changed files with 23 additions and 15 deletions
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38
models/Model_AMP/Model.py
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@ -938,28 +938,36 @@ class AMPModel(ModelBase):
result = [] 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): for i in range(n_samples if not for_history else 1):
if filenames is not None and len(filenames) > 0: if filenames is not None and len(filenames) > 0:
S[i] = label_face_filename(S[i], filenames[0][i]) S[i] = label_face_filename(S[i], filenames[0][i])
D[i] = label_face_filename(D[i], filenames[1][i]) D[i] = label_face_filename(D[i], filenames[1][i])
st = [] st = []
for i in range(n_samples): temp_r = []
st += [ np.concatenate ((S[i], D[i], DD[i]*DDM_000[i]), axis=1) ] for i in range(n_samples if not for_history else 1):
st += [ np.concatenate ((SS[i], DD[i], SD_100[i] ), axis=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) ]
result += [ ('AMP morph 1.0', np.concatenate (st, axis=0 )), ] temp_r += [ np.concatenate (st, axis=1) ]
st = [] result += [ ('AMP morph 1.0', np.concatenate (temp_r, axis=0 )), ]
for i in range(n_samples): # result += [ ('AMP morph 1.0', np.concatenate (st, axis=0 )), ]
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 ((DD[i], SD_025[i], SD_050[i]), axis=1) ]
st += [ np.concatenate ((SD_065[i], SD_075[i], SD_100[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 )), ] temp_r += [ np.concatenate (st, axis=1) ]
st = [] result += [ ('AMP morph list', np.concatenate (temp_r, axis=0 )), ]
for i in range(n_samples): #result += [ ('AMP morph list', np.concatenate (st, axis=0 )), ]
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 = []
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) ] 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 return result