代码拉取完成,页面将自动刷新
A simple, binary classification using Xception model which was pretrained and of which the weights file can be fetched from Keras
Samples with surface defects are merged into a single category (folder) call MT_Defects.
Cleaned-up dataset is stored in folder data
Call: python data_prep.py after modifying corresponding folders and split percentages for train/val/test.
Call: python defect_classify.py
For parameters see inside the code.
此处可能存在不合适展示的内容,页面不予展示。您可通过相关编辑功能自查并修改。
如您确认内容无涉及 不当用语 / 纯广告导流 / 暴力 / 低俗色情 / 侵权 / 盗版 / 虚假 / 无价值内容或违法国家有关法律法规的内容,可点击提交进行申诉,我们将尽快为您处理。