Comments (6)
感谢你的提醒。我们之前提供的openlane.py存在一点问题,现在我们已经修复了。你在训练中遇到的错误应该不是pickle文件造成的,可能是data list不完整导致的。你可以用新的openlane.py生成的数据再训练一下,看是否还会遇到相同的问题。
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修改后的openlane.py生成的数据可以正常训练,感谢你们的工作!还有一个问题,若想测试openlane数据集中各场景得分,该如何做?
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在config的test中添加“test_list"字段为对应场景的text list,如test_list="lane3d_1000/test/1000_curve.txt",之后再运行evaluation即可。
from anchor3dlane.
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Related Issues (16)
- cross-frame pose data HOT 1
- Unsatisfactory effect HOT 1
- How to evaluate on multiple gpus ? HOT 2
- 关于ONCE数据集
- `anchor_assign = False` in multi-frame with iter HOT 1
- Where is the code of "Optimization with Equal-Width Constraint"? HOT 1
- pytorch2onnx HOT 3
- 百度网盘的提取码是多少啊 HOT 1
- question about the ablation experiment HOT 1
- no data_list in openlane datasets HOT 2
- no tf_efficientnet_b3_ns_s8 model in geffnet HOT 3
- Error occured while reproducing result HOT 1
- 关于等宽约束的问题 HOT 1
- ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: -11) local_rank: 0 (pid: 1416) of binary: HOT 1
- 新Openlane v2 数据集训练问题 HOT 2
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