How to predict my data
ZhYuLn opened this issue · 2 comments
ZhYuLn commented
Hi:
This is my directory tree in the project Human3D:
├── benchmark
│ └── __pycache__
├── checkpoints
├── conf
│ ├── augmentation
│ ├── callbacks
│ ├── data
│ ├── full
│ ├── logging
│ ├── loss
│ ├── matcher
│ ├── metrics
│ ├── model
│ ├── optimizer
│ ├── scheduler
│ └── trainer
├── data
│ ├── processed
│ └── raw
├── datasets
│ └── preprocessing
├── docs
│ └── assets
├── models
│ ├── __pycache__
│ ├── metrics
│ └── modules
├── occlusion_subsets
├── outputs
│ └── 2023-12-03
├── saved
│ └── hydra_logs
├── scripts
│ ├── eval
│ └── train
├── third_party
│ ├── MinkowskiEngine
│ └── pointnet2
├── trainer
│ └── __pycache__
└── utils
├── __pycache__
├── pointops2
└── votenet_utils
which directory I should put my ply file, and if the eval_human3d.sh worked, which diretory will saved the predicted ply.
jk456445 commented
Hello, did you find the corrrect way to predict your own data? I have the save question, too.
AT181903 commented
Is there a script to predict using my own data?