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JOP-Lee / READ

AAAI2023，implementation of "READ: Large-Scale Neural Scene Rendering for Autonomous Driving", the experimental results are significantly better than Nerf-based methods
https://github.com/JOP-Lee/READ-Large-Scale-Neural-Scene-Rendering-for-Autonomous-Driving
GNU General Public License v2.0
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How to inference in headless mode? #34

Open hrcheng98 opened 1 year ago

hrcheng98 commented 1 year ago

I found the following code in src/train.py line 523

parser.add('--inference', action='store_bool', default=False)

Does this mean there's some way to run src/train.py to inference?

Wangcongyu620 commented 1 year ago

I have also encountered the same problem. Can you inference this part? Can you learn from the inference code and look forward to your reply！

hrcheng98 commented 1 year ago

Wangcongyu620

As far as I know, there's no official inference code with a headless setting. I implemented the inference code myself based on the training code.

Wangcongyu620 commented 11 months ago

I'm sorry for not being able to reply to you in a timely manner. Can you share the inference code with me？Thank you @hrcheng98