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Get Started Free →coderwanfeng/screen_unmarked_image
在指定目录下筛选没有对应标注文件（.xml）的图片，并移动到「未标注图片」子目录。当用户提到筛选未标注图片、未标数据、清洗图片数据集时使用。
Passed 22 of 22 test cases with the skill, and 3 of 22 without it.
and 17 more in the full report
19 fixed3 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 19 test cases the skill fixed. Same model, same prompt, with and without the skill.
Write the standard Python import statement required to import the `screen_unmarked_image` function from its designated module path.
| Checked | Without skill | With skill |
|---|---|---|
| Imports screen_unmarked_image from skills.ruiming | Missed | Passed |
The instructions your model reads when the skill loads.
筛选未标注的图像
在指定目录下，筛选出没有对应标注文件（如 .xml）的图片，并将其移动到 未标注图片 子目录中。
office/skills/ruiming/screen_unmarked_image/
from skills.ruiming import screen_unmarked_image
screen_unmarked_image(dir_path='./dataset')
| 参数 | 类型 | 必填 | 默认值 | 说明 |
|---|---|---|---|---|
dir_path | str | 是 | - | 图片及标注文件的存放路径 |
image_name_extension | str | 否 | '.jpg' | 图片文件的后缀 |
marked_file_name_extension | str | 否 | '.xml' | 标注文件的后缀 |
None（结果直接打印输出）
from skills.ruiming import screen_unmarked_image
screen_unmarked_image(dir_path='./my_dataset')
test cases passed, vs 3 / 22 without
Published skills whose descriptions closely match this one, with their headline benchmark lift.
More skills from the same source and nearby in the registry, with their headline benchmark lift.