da03 commited on
Commit
d8a95e7
·
1 Parent(s): 18baa4d
Files changed (2) hide show
  1. main.py +4 -3
  2. utils.py +1 -1
main.py CHANGED
@@ -425,7 +425,7 @@ async def websocket_endpoint(websocket: WebSocket):
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  x, y, action_type = parse_action_string(position)
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  mouse_position = (x, y)
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- previous_actions.append((action_type, mouse_position))
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  if not DEBUG_TEACHER_FORCING:
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  previous_actions = []
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@@ -474,11 +474,12 @@ async def websocket_endpoint(websocket: WebSocket):
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  #mouse_position = position.split('~')
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  #mouse_position = [int(item) for item in mouse_position]
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  #mouse_position = '+ 0 8 1 5 : + 0 3 3 5'
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- if False and DEBUG_TEACHER_FORCING:
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  position = positions[0]
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  positions = positions[1:]
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  x, y, action_type = parse_action_string(position)
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  mouse_position = (x, y)
 
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  if False:
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  previous_actions.append((action_type, mouse_position))
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  #previous_actions = [(action_type, mouse_position)]
@@ -501,7 +502,7 @@ async def websocket_endpoint(websocket: WebSocket):
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  next_frame, next_frame_append = predict_next_frame(previous_frames, previous_actions)
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  # Load and append the corresponding ground truth image instead of model output
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  print ('here4', len(previous_frames))
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- if False and DEBUG_TEACHER_FORCING:
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  img = Image.open(f"record_10003/image_{117+len(previous_frames)}.png")
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  previous_frames.append(img)
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  else:
 
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  x, y, action_type = parse_action_string(position)
426
  mouse_position = (x, y)
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+ #previous_actions.append((action_type, mouse_position))
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  if not DEBUG_TEACHER_FORCING:
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  previous_actions = []
431
 
 
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  #mouse_position = position.split('~')
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  #mouse_position = [int(item) for item in mouse_position]
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  #mouse_position = '+ 0 8 1 5 : + 0 3 3 5'
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+ if DEBUG_TEACHER_FORCING:
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  position = positions[0]
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  positions = positions[1:]
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  x, y, action_type = parse_action_string(position)
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  mouse_position = (x, y)
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+ previous_actions.append((action_type, mouse_position))
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  if False:
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  previous_actions.append((action_type, mouse_position))
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  #previous_actions = [(action_type, mouse_position)]
 
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  next_frame, next_frame_append = predict_next_frame(previous_frames, previous_actions)
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  # Load and append the corresponding ground truth image instead of model output
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  print ('here4', len(previous_frames))
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+ if DEBUG_TEACHER_FORCING:
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  img = Image.open(f"record_10003/image_{117+len(previous_frames)}.png")
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  previous_frames.append(img)
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  else:
utils.py CHANGED
@@ -63,7 +63,7 @@ def sample_frame(model: LatentDiffusion, prompt: str, image_sequence: torch.Tens
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  #time.sleep(120)
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  print ('finished sleeping')
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  DDPM = False
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- DDPM = False
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  if DEBUG:
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  #c['c_concat'] = c['c_concat']*0
 
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  #time.sleep(120)
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  print ('finished sleeping')
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  DDPM = False
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+ DDPM = True
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  if DEBUG:
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  #c['c_concat'] = c['c_concat']*0