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数据校验在平台上通不过,但是本地PaddleX可以通过 #2658

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liangyijian1 opened this issue Dec 14, 2024 · 2 comments
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@liangyijian1
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Checklist:

描述问题

数据校验在平台上通不过,但是本地PaddleX可以通过

复现

我的数据集如下:
PS C:\Users\DMM\Desktop\tmp_data> tree /f
卷 Windows-SSD 的文件夹 PATH 列表
卷序列号为 D846-385E
C:.
├─annotations
│ instance_train.json
│ instance_val.json

└─images

  1. 请提供您出现的报错信息及相关log
    AI Studio上数据集校验失败,log为
    dataset.log

但是PaddleX中校验通过
PS C:\Users\DMM\PycharmProjects\PaddleX> python.exe .\main.py -c paddlex/configs/instance_segmentation/Mask-RT-DETR-L.yaml -o Global.mode=check_dataset -o Global.dataset_dir=C:/Users/DMM/Desktop/tmp_data
C:/Users/DMM/Desktop/tmp_data
loading annotations into memory...
Done (t=0.00s)
creating index...
index created!
loading annotations into memory...
Done (t=0.00s)
creating index...
index created!
Only 5 images in instance_val.json
loading annotations into memory...
Done (t=0.00s)
creating index...
index created!
loading annotations into memory...
Done (t=0.02s)
creating index...
index created!
Check dataset passed !
3. 请提供您的星河uid和产线id
Pipeline ID:p-6fdd7d78dc52

@TingquanGao TingquanGao self-assigned this Dec 14, 2024
@rtoo09iout
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数据校验失败。目标检测文档说使用coco数据集格式,Label Studio导出的coco格式YOLO正常使用,一比对paddlex官方给出的示例,不一样。

@TingquanGao
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平台上这里确实存在问题(当数据量少于10张图片时),预计本周修复上线。

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