Comments (6)
改掉config/persformer_openlane.py 里的
# 1000 sequence
args.dataset_name = 'openlane'
args.dataset_dir = '/mnt/disk01/openlane/images/'
args.data_dir = '/mnt/disk01/openlane/lane3d_1000/'
按照OpenLane的数据集格式和路径格式,图片放在validation下面的文件夹里
-images
----training
--------segment-183829460855609442_430_000_450_000_with_camera_labels
----validation
--------segment-183829460855609442_430_000_450_000_with_camera_labels
------------要推理的图片
-lane3d_300
----training
--------segment-183829460855609442_430_000_450_000_with_camera_labels
----validation
--------segment-183829460855609442_430_000_450_000_with_camera_labels
------------找个OpenLane里面的真值json放进去,重命名成要推理的图片(这里主要是我只看可视化结果,对数值不在意,如果你有真的真值就放真的吧
然后运行
python main_persformer.py --mod=PersFormer --batch_size=1
请问可以将单张推理的命令发一下吗
from persformer_3dlane.
对于推理,需要提供输入图像、相机内参和相机外参。
目前只提供了OpenLane的训练和测试代码,对于单张图像的推理,您可以按照OpenLane的数据集格式和路径格式准备对应的图片和标注(相机内参和相机外参从标注中读取)作为validation。将persformer_openlane.py中args.evaluation置为True,修改图片和标注的路径args.dataset_dir和args.data_dir。
from persformer_3dlane.
感谢!已完成!很棒的工作,大佬加油
from persformer_3dlane.
请问可以将单张推理的命令发一下吗
from persformer_3dlane.
十分感谢,美好的一天~
from persformer_3dlane.
十分感谢,美好的一天~
请问你在其他数据上预测的效果如何?
from persformer_3dlane.
Related Issues (20)
- Could you please share more details about how the newest result in TRAIN_VAL.md is trained? HOT 3
- Will apollo dataset pretrained model release?
- ZeroDivisionError: Weights sum to zero, can't be normalized HOT 2
- Some question about the results of x_far,x_close,z_far,z_close? HOT 1
- 加载EfficientNet模型报错“unexpected EOF”
- visualization HOT 2
- JSON file Error
- Single Inference HOT 1
- Unable to replicate the performance of GenLaneNet and 3DLaneNet on the openlane dataset based on your framework.
- sheared feature mapping
- TypeError: 'module' object is not callable HOT 2
- 分布训练
- 关于类别数问题 HOT 3
- 不使用分布式训练
- UnboundLocalError: local variable '_label_cam_height' referenced before assignment HOT 1
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- Some questions on code
- how to derive H_g2cam?
- 推理其他数据集发生错误
- Lane Detection Results
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from persformer_3dlane.