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source codes of CCF BDCI champion team
This project forked from landlee001/video-infringement-detection
source codes of CCF BDCI champion team
-----前言----- 本源码为我带领团队参加2019 CCF BDCI 第一赛道《视频侵权检测》算法竞赛获得一等奖时所使用的部分源码,包括视频抽帧、图像卷积特征提取、SPOC特征聚合等方法的实现。由于产品化的原因,后续的特征匹配和视频匹配算法均使用C/C++编写,且不便公开,敬请谅解。 -----使用说明----- 1)由于用到的几个caffe模型存档文件SIZE较大,在本代码中已经删除掉,删除模型的路径记录如下: caffe/examples/cifar10/cifar10_quick_iter_4000.caffemodel caffe/models/bvlc_alexnet/bvlc_alexnet.caffemodel caffe/models/hvr2/hvr_alexnet_train_iter_5000.caffemodel(自) caffe/models/vgg16/VGG_ILSVRC_16_layers.caffemodel 2) edit ~/.profile, add a line as below at the end of the file: export PYTHONPATH=.../lib:$PYTHONPATH 3)程序说明 my_video.py 视频抽帧 my_infer.py 卷积特征提取 my_eval.py 特征比对 spoc_train.py 训练集特征聚合 spoc_test.py 测试集特征聚合
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