JasonYinnnn commited on
Commit
902fc22
·
1 Parent(s): 8801ea8

longer duration

Browse files
Files changed (1) hide show
  1. app.py +12 -2
app.py CHANGED
@@ -310,7 +310,7 @@ def get_duration(rgb_image, seg_image, seed, randomize_seed,
310
  cfg_interval_end, t_rescale, work_space):
311
  instance_labels = np.unique(np.array(seg_image).reshape(-1, 3), axis=0)
312
  step_duration = 15.0
313
- return instance_labels.shape[0] * step_duration + 180
314
 
315
  @spaces.GPU(duration=get_duration)
316
  def run_generation(
@@ -324,7 +324,8 @@ def run_generation(
324
  cfg_interval_end: float = 1.0,
325
  t_rescale: float = 3.0,
326
  work_space: dict = None,
327
- ):
 
328
  if work_space is None:
329
  raise gr.Error("Please run step 1 and step 2 first.")
330
  required_keys = ["dir", "depth_mask", "depth", "K", "c2w", "trans", "scale"]
@@ -388,10 +389,13 @@ def run_generation(
388
  run_id = str(uuid.uuid4())
389
 
390
  DEVICE = 'cuda'
 
 
391
  pipeline = ThreeDFixerPipeline.from_pretrained(
392
  local_dir, compile=False
393
  )
394
  pipeline.to(device=DEVICE)
 
395
 
396
  if not isinstance(rgb_image, Image.Image) and "image" in rgb_image:
397
  rgb_image = rgb_image["image"]
@@ -644,10 +648,16 @@ def run_generation(
644
  os.path.join(work_space['dir'], f"{run_id}_instance_gs_fine_{instance_name}.png")
645
  )
646
 
 
 
 
647
  video = render_utils.render_video(
648
  outputs["gaussian"][0],
649
  bg_color=(1.0, 1.0, 1.0)
650
  )["color"]
 
 
 
651
  imageio.mimsave(mp4_path, video, fps=30)
652
  imageio.imwrite(poster_path, video[0])
653
 
 
310
  cfg_interval_end, t_rescale, work_space):
311
  instance_labels = np.unique(np.array(seg_image).reshape(-1, 3), axis=0)
312
  step_duration = 15.0
313
+ return instance_labels.shape[0] * step_duration + 240
314
 
315
  @spaces.GPU(duration=get_duration)
316
  def run_generation(
 
324
  cfg_interval_end: float = 1.0,
325
  t_rescale: float = 3.0,
326
  work_space: dict = None,
327
+ ):
328
+ first_render = True
329
  if work_space is None:
330
  raise gr.Error("Please run step 1 and step 2 first.")
331
  required_keys = ["dir", "depth_mask", "depth", "K", "c2w", "trans", "scale"]
 
389
  run_id = str(uuid.uuid4())
390
 
391
  DEVICE = 'cuda'
392
+ gr.Info('Loading ckpts')
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+ down_t = time.time()
394
  pipeline = ThreeDFixerPipeline.from_pretrained(
395
  local_dir, compile=False
396
  )
397
  pipeline.to(device=DEVICE)
398
+ gr.Info(f'Loading ckpts duration: {time.time()-down_t:.2}s')
399
 
400
  if not isinstance(rgb_image, Image.Image) and "image" in rgb_image:
401
  rgb_image = rgb_image["image"]
 
648
  os.path.join(work_space['dir'], f"{run_id}_instance_gs_fine_{instance_name}.png")
649
  )
650
 
651
+
652
+ if first_render:
653
+ render_t = time.time()
654
  video = render_utils.render_video(
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  outputs["gaussian"][0],
656
  bg_color=(1.0, 1.0, 1.0)
657
  )["color"]
658
+ if first_render:
659
+ gr.Info(f'Compile gsplat duration: {time.time()-render_t:.2}s')
660
+ first_render = False
661
  imageio.mimsave(mp4_path, video, fps=30)
662
  imageio.imwrite(poster_path, video[0])
663