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Handle memory error for longer duration by compiling video using saved frames #226

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Handle memory error for longer duration by compiling video using saved frames #226

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28 changes: 15 additions & 13 deletions nerf_triplane/utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1056,9 +1056,6 @@ def test(self, loader, save_path=None, name=None, write_image=False):
pbar = tqdm.tqdm(total=len(loader) * loader.batch_size, bar_format='{percentage:3.0f}% {n_fmt}/{total_fmt} [{elapsed}<{remaining}, {rate_fmt}]')
self.model.eval()

all_preds = []
all_preds_depth = []

with torch.no_grad():

for i, data in enumerate(loader):
Expand All @@ -1083,23 +1080,28 @@ def test(self, loader, save_path=None, name=None, write_image=False):
pred_depth = preds_depth[0].detach().cpu().numpy()
pred_depth = (pred_depth * 255).astype(np.uint8)

if write_image:
imageio.imwrite(path, pred)
imageio.imwrite(path_depth, pred_depth)

all_preds.append(pred)
all_preds_depth.append(pred_depth)
imageio.imwrite(path, pred)
imageio.imwrite(path_depth, pred_depth)

pbar.update(loader.batch_size)

# write video
all_preds = np.stack(all_preds, axis=0)
all_preds_depth = np.stack(all_preds_depth, axis=0)
imageio.mimwrite(os.path.join(save_path, f'{name}.mp4'), all_preds, fps=25, quality=8, macro_block_size=1)
imageio.mimwrite(os.path.join(save_path, f'{name}_depth.mp4'), all_preds_depth, fps=25, quality=8, macro_block_size=1)
ffmpeg_cmd_rgb = f'ffmpeg -framerate 25 -i "{os.path.join(save_path, name)}_%04d_rgb.png" -c:v libx264 -pix_fmt yuv420p "{os.path.join(save_path, name)}.mp4" -y'
os.system(ffmpeg_cmd_rgb)

ffmpeg_cmd_depth = f'ffmpeg -framerate 25 -i "{os.path.join(save_path, name)}_%04d_depth.png" -c:v libx264 -pix_fmt yuv420p "{os.path.join(save_path, name)}_depth.mp4" -y'
os.system(ffmpeg_cmd_depth)

if self.opt.aud != '' and self.opt.asr_model == 'ave':
os.system(f'ffmpeg -i {os.path.join(save_path, f"{name}.mp4")} -i {self.opt.aud} -strict -2 -c:v copy {os.path.join(save_path, f"{name}_audio.mp4")} -y')

if not write_image:
file_pattern = os.path.join(save_path, f'{name}_*.png')
if os.name == 'posix': # unix-based system (Linux, macOS)
os.system(f'rm {file_pattern}')
elif os.name == 'nt': # windows
os.system(f'del {file_pattern}')

self.log(f"==> Finished Test.")

# [GUI] just train for 16 steps, without any other overhead that may slow down rendering.
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