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Zhongang Cai
2023-10-23 19:51:11 +08:00
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</div>
## News
- [2023-10-23] Support visualization through SMPL-X mesh overlay and inference docker added.
- [2023-10-23] Support visualization through SMPL-X mesh overlay and add inference docker.
- [2023-10-02] [arXiv](https://arxiv.org/abs/2309.17448) preprint is online!
- [2023-09-28] [Homepage](https://caizhongang.github.io/projects/SMPLer-X/) and [Video](https://youtu.be/DepTqbPpVzY) are online!
- [2023-07-19] Pretrained models are released.
@@ -174,10 +174,10 @@ SMPLer-X/
└── preprocessed_datasets/ # HumanData files
```
## Inference
- Place the video to be inferenced under `SMPLer-X/demo/videos`
- Place the video for inference under `SMPLer-X/demo/videos`
- Prepare the pretrained models to be used for inference under `SMPLer-X/pretrained_models`
- Prepare the mmdet pretrained model and config under `SMPLer-X/pretrained_models`
- Inference out put will be saved in `SMPLer-X/demo/results`
- Inference output will be saved in `SMPLer-X/demo/results`
```bash
cd main
@@ -234,7 +234,7 @@ sh slurm_test.sh {JOB_NAME} {NUM_GPU} {TRAIN_OUTPUT_DIR} {CKPT_ID}
- `KeyError: 'SinePositionalEncoding is already registered in position encoding'` or any other similar KeyErrors due to duplicate module registration.
Maually add `force=True` to respective module registration under `main/transformer_utils/mmpose/models/utils`, e.g. `@POSITIONAL_ENCODING.register_module(force=True)` in [this file](main/transformer_utils/mmpose/models/utils/positional_encoding.py)
Manually add `force=True` to respective module registration under `main/transformer_utils/mmpose/models/utils`, e.g. `@POSITIONAL_ENCODING.register_module(force=True)` in [this file](main/transformer_utils/mmpose/models/utils/positional_encoding.py)
- How do I animate my virtual characters with SMPLer-X output (like that in the demo video)?
- We are working on that, please stay tuned!