Comments (16)
@theEricMa Hi, thanks for the update. Could you please share the pre-processed data through google drive or zip them in the Baidu Netdisk? It is hard to download a raw folder from Baidu Netdisk. Thanks!
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Hi, I uploaded the missing file together with the dataset. Please see the updated Readme for detail. For any other questions, please feel free to update your question here.
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@theEricMa still missing hdtf_cross_id.py
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By the way, it seems the Google drive link for processed data is not accessible.
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I have Download the dataset from Baidu Netdisk, but how to convert the mdb files to images on Ubuntu18.04, can you share the script to do that.
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@liangshuang1993 Please check the latest update. I have uploaded the hdtf_cross_id.py.
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@baihei-1122 If you really want to extract the image data from the .mdb file, my advice is to traverse the .mdb file by modifiying the dataset object
Line 24 in 6e468be
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@theEricMa much thanks!
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@theEricMa When I test the Face Animation, I get the error with no such checkpoint path 'pretrained/ffhqrebalanced512-64.pth'
, I just have ffhqrebalanced512-64.pkl
file, so I change the pth
to pkl
, but also get the error RuntimeError: Invalid magic number; corrupt file?
, so have any ways to make the inference success?
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@baihei-1122 please check my updated readme on how to abtain the .pth file
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@theEricMa , thanks, I have found this script and convert to .pth
file and I adjust the G_new.neural_rendering_resolution =64
, through the output video it seems success. But I meet the new problem with miss this file pretrained/ws_std.npy
which in trainers/decouple_by_invert.py
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@baihei-1122 I uploaded it, you can pull the latest repo
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@theEricMa thanks bro! But I meet the new error, it seems like miss the checkpoint.
We train Generator
No checkpoint found at iteration 2000.
through the message I found it located at inference_refine_1D_cam.py - trainer.load_checkpoint
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@theEricMa thanks bro! But I meet the new error, it seems like miss the checkpoint.
We train Generator No checkpoint found at iteration 2000.
through the message I found it located at
inference_refine_1D_cam.py - trainer.load_checkpoint
hi, Have you trained this model? I'm curious about how well this model works
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@theEricMa Hi, thanks for the update. Could you please share the pre-processed data through google drive or zip them in the Baidu Netdisk? It is hard to download a raw folder from Baidu Netdisk. Thanks!
We have uploaded the zipped file in Google Drive, thanks for your advice!
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@theEricMa thanks bro! But I meet the new error, it seems like miss the checkpoint.
We train Generator No checkpoint found at iteration 2000.
through the message I found it located at
inference_refine_1D_cam.py - trainer.load_checkpoint
hi, Have you trained this model? I'm curious about how well this model works
The model is uploaded now. Please check the Readme, thanks!
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Related Issues (20)
- How to transfer expression from target img to source img HOT 11
- Quantitative Evaluation HOT 12
- Difference between code and paper HOT 1
- ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: -9) local_rank: 0 (pid: 150437) of binary: /data1/anconda3/envs/otavatar/bin/python HOT 2
- When do you plan to upload the data preprocessing script? HOT 1
- Could you please upload the remaining preprocessing scripts?
- Can you please tell on what operating system is this code running ? HOT 1
- How to makes face animation with specified image HOT 4
- About downloading processed data HOT 2
- Question about 'FaceTrainer' object has no attribute 'net_G_module'
- question about emotion code , ws_stdv HOT 4
- No arcface_resnet18.pth found in arcface-pytorch HOT 1
- question about data.utils.process_camera_inv HOT 1
- About training consumption and inference speed HOT 1
- License file HOT 1
- Makes face animation with specified image HOT 3
- About requirement.yaml
- metric code about cross-identity reenactment HOT 1
- Multi-GPU trainning error (RuntimeError: module must have its parameters and buffers on device cuda:0 (device_ids[0]) but found one of them on device: cuda:3) HOT 1
- Pretrained model batchsize and gpus HOT 1
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