Inference feature for random data

[swoook]

Is your feature request related to a problem? Please describe.

• We need an inference feature for deployment
• Currently, chenjun2hao/DDRNet.pytorch provides a demo
• However, it's based on the specific datasets
• E.g. It requires a cityscapes meta-data including filename list
• It's not appropriate for deployment
• We need the inference feature w/o any specific datasets

Describe the solution you'd like

1. Implement a class based on torch.utils.data.TensorDataset
   • Assume that we follow official documentation
   • We have to initialize a instance every time new data arrives
2. Implement an inference feature w/o any torch.utils.data.Dataset

Describe alternatives you've considered

1. Use official repository for DDRNet
   • It only provide model codes

[swoook]

• Refer to this commit for more details