技能创建器
skill-creator
创建、改进和评估自定义技能,把专业流程转化为可重复使用的 AI 能力。
data-preparation【数据与研究】Prepare and validate easy12306 captcha crops, tiles, perceptual hashes, label vocabulary artifacts, and OCR-assisted labeling workflows.
独立 GitHub 快照 · 自动分类 · 以原作者文档为准
Load this sub-skill when the task is to recreate, inspect, or validate the data artifacts behind easy12306: captcha acquisition, prompt-text crops, 8 image tiles, perceptual hashes, label vocabulary rows, OCR-assisted text labeling, or hash-label aggregation.
Do not use this sub-skill for pretrained model inference, text-model training, or image-model training. Route those tasks to inference, text-modeling, or image-modeling respectively.
.npz schemas, and label-vocabulary expectations.python scripts/captcha_preprocess_diagnostic.py --helppython scripts/captcha_preprocess_diagnostic.py --self-testpython scripts/captcha_preprocess_diagnostic.py --image CAPTCHA.jpg --labels-file texts.txt --npz data.npzpython scripts/hash_image_tiles.py --helppython scripts/hash_image_tiles.py --self-testpython scripts/hash_image_tiles.py --image CAPTCHA.jpg --method phashThe scripts are self-contained adaptations of the safe crop, tile, and hash logic. They do not depend on an original source checkout and do not call credentialed OCR or captcha download endpoints.
[3:22], columns [120+offset:177+offset]; eight 67x67 tiles from row starts 40,112 and column starts 5,77,149,221 for a 190x293 captcha.uint8 vector.