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11 changes: 9 additions & 2 deletions SyncNetInstance.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -12,6 +12,7 @@
from scipy.io import wavfile
from SyncNetModel import *

cuda = False

# ==================== Get OFFSET ====================

Expand DownExpand Up@@ -101,12 +102,18 @@ def evaluate(self, opt, videofile):

im_batch = [ imtv[:,:,vframe:vframe+5,:,:] for vframe in range(i,min(lastframe,i+opt.batch_size)) ]
im_in = torch.cat(im_batch,0)
im_out = self.__S__.forward_lip(im_in.cuda());
if cuda:
im_out = self.__S__.forward_lip(im_in.cuda());
else:
im_out = self.__S__.forward_lip(im_in);
im_feat.append(im_out.data.cpu())

cc_batch = [ cct[:,:,:,vframe*4:vframe*4+20] for vframe in range(i,min(lastframe,i+opt.batch_size)) ]
cc_in = torch.cat(cc_batch,0)
cc_out = self.__S__.forward_aud(cc_in.cuda())
if cuda:
cc_out = self.__S__.forward_aud(cc_in.cuda())
else:
cc_out = self.__S__.forward_aud(cc_in)
cc_feat.append(cc_out.data.cpu())

im_feat = torch.cat(im_feat,0)
Expand Down
14 changes: 8 additions & 6 deletions SyncNetModel.py
Original file line numberDiff line numberDiff line change
@@ -1,6 +1,8 @@
import torch
import torch.nn as nn

cuda = False

def save(model, filename):
with open(filename, "wb") as f:
torch.save(model, f);
Expand DownExpand Up@@ -90,11 +92,11 @@ def __init__(self, num_layers_in_fc_layers = 1024):
nn.ReLU(inplace=True),
);

self.netcnnaud = self.netcnnaud.cuda();
self.netcnnlip = self.netcnnlip.cuda();
self.netfcaud = self.netfcaud.cuda();
self.netfclip = self.netfclip.cuda();

if cuda:
self.netcnnaud = self.netcnnaud.cuda();
self.netcnnlip = self.netcnnlip.cuda();
self.netfcaud = self.netfcaud.cuda();
self.netfclip = self.netfclip.cuda();

def forward_aud(self, x):

Expand All@@ -110,4 +112,4 @@ def forward_lip(self, x):
mid = mid.view((mid.size()[0], -1)); # N x (ch x 24)
out = self.netfclip(mid);

return out;
return out;
2 changes: 1 addition & 1 deletion run_syncnet.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -31,7 +31,7 @@

# ==================== GET OFFSETS ====================

with open(os.path.join(opt.work_dir,opt.reference,'tracks.pckl'), 'r') as fil:
with open(os.path.join(opt.work_dir,opt.reference,'tracks.pckl'), 'rb') as fil:
tracks = pickle.load(fil)

dists = []
Expand Down