Comments (2)
Hi, runsheng! I plan to release my code in February, and I'm very pleased to contribute to OpenCOOD!
There are some difference between our code architecture. I made a unified dataset api for opv2v, v2xsim, dairv2x and v2xset. And I set project first to be false by default. I think we need some discussion to do it~
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Sounds good Yifan! A quick way is just to integrate your algorithm to the OpenCOOD. But when you plan to do it, let's have a detailed discussion! We can communicate with either Email or WeChat.
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Related Issues (20)
- Excuse me, I wonder whether this coalign code can support the rgb v2x-sim? HOT 3
- bugs when training DAIR-V2X HOT 7
- bugs when infer HOT 6
- why AP values the same when noise levels are different? HOT 4
- camera collaboration on the V2XSet dataset HOT 2
- May I ask if you have parameter files for some models that have already been trained on v2xsim2.0 HOT 2
- Request for hypes_yaml/dairv2x Camera YAML HOT 1
- Bugs with multiple GPUs training with DDP HOT 2
- Questions about loss function HOT 1
- I also encountered a similar problem, and the error was HOT 1
- ValueError: '6853' is not in list HOT 7
- disconet don't match early_fusion
- Bugs with multiple gpu training on lidar pointpillar with train_ddp.py HOT 1
- The train/test pickle files in V2XSim 2.0 HOT 2
- The intermediate fusion method based on lift-splat-shoot got poor results on DAIR-V2X-C dataset. HOT 4
- Question about the yamls of where2comm and when2com? HOT 1
- The intermediate fusion method based on lift-splat-shoot got poor results on opv2v dataset
- The Question regarding the results of a single detector HOT 2
- problems about running PointPillars with DAIR-V2X HOT 8
- Question about t_matrix HOT 6
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