@@ -108,7 +108,7 @@ def transferAudio(sourceVideo, targetVideo):
108108 videoCapture .release ()
109109 if args .fps is None :
110110 fpsNotAssigned = True
111- args .fps = fps * args .multi
111+ args .fps = fps * ( args .multi - 1 )
112112 else :
113113 fpsNotAssigned = False
114114 videogen = skvideo .io .vreader (args .video )
@@ -234,7 +234,7 @@ def pad_image(img):
234234 temp = frame
235235 I1 = torch .from_numpy (np .transpose (frame , (2 ,0 ,1 ))).to (device , non_blocking = True ).unsqueeze (0 ).float () / 255.
236236 I1 = pad_image (I1 )
237- I1 = model .inference (I0 , I1 , args .scale )
237+ I1 = model .inference (I0 , I1 , scale = args .scale )
238238 I1_small = F .interpolate (I1 , (32 , 32 ), mode = 'bilinear' , align_corners = False )
239239 ssim = ssim_matlab (I0_small [:, :3 ], I1_small [:, :3 ])
240240 frame = (I1 [0 ] * 255 ).byte ().cpu ().numpy ().transpose (1 , 2 , 0 )[:h , :w ]
@@ -253,7 +253,7 @@ def pad_image(img):
253253 output.append(torch.from_numpy(np.transpose((cv2.addWeighted(frame[:, :, ::-1], alpha, lastframe[:, :, ::-1], beta, 0)[:, :, ::-1].copy()), (2,0,1))).to(device, non_blocking=True).unsqueeze(0).float() / 255.)
254254 '''
255255 else :
256- output = make_inference (I0 , I1 , args .multi - 1 )
256+ output = make_inference (I0 , I1 , args .multi - 1 )
257257
258258 if args .montage :
259259 write_buffer .put (np .concatenate ((lastframe , lastframe ), 1 ))
0 commit comments