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資源簡介

在Matlab2016a + Windows10 + VS2015 + CPU環境下編譯好的雙流CNN代碼，相同環境的機器應該可以直接運行，另外需要下載三個預訓練好的模型（見博客）。博客：https://blog.csdn.net/u013588351/article/details/101872292；原版代碼：https://github.com/feichtenhofer/twostreamfusion；文章：Convolutional Two-Stream Network Fusion for Video Action Recognition；

資源截圖

代碼片段和文件信息 

function?[?opts?]?=?cnn_setup_environment（?varargin?）

??run（fullfile（fileparts（mfilename（‘fullpath‘））?...
?????????‘matconvnet‘‘matlab‘?‘vl_setupnn.m‘））?;?%?運行./matconvnet/matlab/vl_setupnn.m（把vl開頭的一堆函數添加到搜索路徑里）

??opts.dataPath?=?‘data‘;
??opts.modelPath?=‘models‘;
??opts.flowDir?=?‘data/ucf101/tvl1_flow‘;?%?經過預計算的光流圖像（時間網絡的輸入）
??opts.imageDir??=?‘data/ucf101/jpegs_256‘;?%?經過resize的靜止圖像（空間網絡的輸入）
??opts.numFetchThreads?=?8?;

??[opts?~]?=?vl_argparse（opts?varargin）;

??
end


?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????文件??????????86??2016-09-27?16:45??.gitmodules
?????文件?????????541??2019-10-02?00:55??cnn_setup_environment.m
?????文件???????19110??2016-09-27?16:45??cnn_train_dag.m
?????文件???????13176??2019-10-03?14:53??cnn_ucf101_fusion.asv
?????文件???????13164??2019-10-03?14:59??cnn_ucf101_fusion.m
?????文件???????11943??2016-09-27?16:45??cnn_ucf101_get_flow_batch.m
?????文件????????9704??2016-09-27?16:45??cnn_ucf101_get_frame_batch.m
?????文件???????10604??2016-09-27?16:45??cnn_ucf101_get_im_flow_batch.m
?????文件????????4447??2016-09-27?16:45??cnn_ucf101_setup_data.m
?????文件????????8161??2019-10-03?13:43??cnn_ucf101_spatial.m
?????文件????????8181??2019-10-03?13:42??cnn_ucf101_temporal.m
?????文件?????????993??2019-10-03?11:58??compile.m
?????目錄???????????0??2019-10-03?13:39??data\
?????目錄???????????0??2019-10-03?13:43??data\ucf101\
?????目錄???????????0??2019-10-03?13:39??data\ucf101\ucf101-img-res50-borders25-bs=256-split1-dr0\
?????目錄???????????0??2019-10-03?13:43??data\ucf101\ucf101-res50multiScaleRegular-bs=128-cheapRsz=0-split1-dr0.8\
?????文件????????2117??2016-09-27?16:45??getBatchWrapper_ucf101_flow.m
?????文件????????2166??2016-09-27?16:45??getBatchWrapper_ucf101_imgs.m
?????文件????????2197??2016-09-27?16:45??getBatchWrapper_ucf101_rgbflow.m
?????目錄???????????0??2016-09-27?16:45??hmdb51_splits\
?????文件????????7194??2016-09-27?16:45??hmdb51_splits\brush_hair_test_split1.txt
?????文件????????7194??2016-09-27?16:45??hmdb51_splits\brush_hair_test_split2.txt
?????文件????????7194??2016-09-27?16:45??hmdb51_splits\brush_hair_test_split3.txt
?????文件????????6600??2016-09-27?16:45??hmdb51_splits\cartwheel_test_split1.txt
?????文件????????6600??2016-09-27?16:45??hmdb51_splits\cartwheel_test_split2.txt
?????文件????????6600??2016-09-27?16:45??hmdb51_splits\cartwheel_test_split3.txt
?????文件????????6658??2016-09-27?16:45??hmdb51_splits\catch_test_split1.txt
?????文件????????6658??2016-09-27?16:45??hmdb51_splits\catch_test_split2.txt
?????文件????????6658??2016-09-27?16:45??hmdb51_splits\catch_test_split3.txt
?????文件????????5881??2016-09-27?16:45??hmdb51_splits\chew_test_split1.txt
?????文件????????5881??2016-09-27?16:45??hmdb51_splits\chew_test_split2.txt
............此處省略535個文件信息

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