【毫无软用的工具又增加了】基于图像识别模型自动识别电影景别并自动切分和转GIF
本想自己剪参考，弄个小工具帮自己省点事整理一些镜头的参考，然后突发奇想要不自动给我分类得了。然后就有了这个需求不明确的小工具。如果对有需要的人就可以试试data:image/png;base64,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
（界面截图）目前基于无法定位需求 就没进行继续浪费时间去提升精度了。可以自行去调整下面的范围自行测试区间数值。使用视频22898
下载链接：链接：https://pan.baidu.com/s/1QKtFJELkiG71tLfwC_Bbcg 提取码：8888
牛还得是我飞哥牛 下载链接呢 还没上传完吗 蹲一个
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