Spaces:
Runtime error
Runtime error
| ''' | |
| nohup python preprocess/extract-vae_all.py 0 2 >> t5.log 2>&1 & | |
| nohup python preprocess/extract-vae_all.py 1 2 >> t5.log 2>&1 & | |
| 0/1: What part does this process do | |
| 2: It consists of two parts in total. | |
| ''' | |
| root_mp4s="test_data/mp4root" | |
| h,w=480,832 | |
| num_frames = 49 | |
| opt_root="output_root/vae_all" | |
| checkpoint_dir="/DATA/bvac/personal/wan21/Wan2.1-I2V-14B-720P" | |
| import os,sys,traceback,numpy as np | |
| import pdb | |
| os.environ["CUDA_VISIBLE_DEVICES"]=sys.argv[1] | |
| all=int(sys.argv[2]) | |
| i_part=int(os.environ["CUDA_VISIBLE_DEVICES"]) | |
| import pdb,torch | |
| from wan.modules.vae import WanVAE | |
| device="cuda" | |
| vae = WanVAE(vae_pth=os.path.join(checkpoint_dir, 'Wan2.1_VAE.pth'),device=device) | |
| from decord import VideoReader | |
| import torchvision.transforms.functional as TF | |
| def read_img(path): | |
| vr = VideoReader(uri=path, height=-1, width=-1) | |
| actual_fps=vr.get_avg_fps() | |
| start=2 | |
| wanted_fps=16 | |
| end = int(start + num_frames / wanted_fps * actual_fps) | |
| indices = np.arange(start, end, (end - start) / num_frames).astype(int) | |
| # print(100000,start,end,indices,len(indices),actual_fps,len(vr)) | |
| temp_frms = vr.get_batch(indices) | |
| temp_frms = torch.from_numpy(temp_frms.asnumpy()).to(device).float()/255 | |
| temp_frms-=0.5 | |
| temp_frms/=0.5#torch.Size([49, 1080, 1920, 3]) | |
| temp_frms=temp_frms.permute(3,0,1,2)#torch.Size([3, 49, 1080, 1920]) | |
| return temp_frms | |
| os.makedirs(opt_root,exist_ok=True) | |
| def go(todos): | |
| for path in todos: | |
| try: | |
| name=os.path.basename(path).rsplit('.', maxsplit=1)[0]+'.pt' | |
| if os.path.exists("%s/%s"%(opt_root,name)):continue | |
| img = read_img(path) | |
| aa=torch.nn.functional.interpolate(img, size=(h, w), mode='bicubic') | |
| tensorr = vae.encode(aa.unsqueeze(0))[0].cpu() # torch.Size([16, 21, 90, 160])#21->13 | |
| save_path="%s/%s"%(opt_root,name) | |
| torch.save(tensorr, save_path) | |
| except: | |
| print(path,traceback.format_exc()) | |
| todo=[] | |
| for name in os.listdir(root_mp4s): | |
| todo.append("%s/%s"%(root_mp4s,name)) | |
| todo=sorted(todo) | |
| todo=todo[i_part::all] | |
| go(todo) | |