文件名称:mc-cnn
介绍说明--下载内容来自于网络,使用问题请自行百度
通过深度神经网络实现双目视觉下图像深度识别,需要运行在linux环境中-Achieve recognition image depth through binocular visual depth at the neural network, you need to run in the linux environment
(系统自动生成,下载前可以参看下载内容)
下载文件列表
mc-cnn-master/
mc-cnn-master/.gitignore
mc-cnn-master/BCECriterion2.lua
mc-cnn-master/LICENSE
mc-cnn-master/Makefile.proto
mc-cnn-master/Margin2.lua
mc-cnn-master/Normalize2.lua
mc-cnn-master/README.md
mc-cnn-master/SpatialConvolution1_fw.lua
mc-cnn-master/SpatialLogSoftMax.cu
mc-cnn-master/SpatialLogSoftMax.lua
mc-cnn-master/StereoJoin.lua
mc-cnn-master/StereoJoin1.lua
mc-cnn-master/Test.lua
mc-cnn-master/adcensus.cu
mc-cnn-master/cv.cpp
mc-cnn-master/download_middlebury.sh
mc-cnn-master/hs.py
mc-cnn-master/hs.sh
mc-cnn-master/main.lua
mc-cnn-master/main.sh
mc-cnn-master/net/
mc-cnn-master/net/.empty
mc-cnn-master/out/
mc-cnn-master/out/.empty
mc-cnn-master/predict_kitti.lua
mc-cnn-master/preprocess.sh
mc-cnn-master/preprocess_kitti.lua
mc-cnn-master/preprocess_mb.py
mc-cnn-master/rgs.py
mc-cnn-master/rgs_qsub.py
mc-cnn-master/rgs_qsub.sh
mc-cnn-master/samples/
mc-cnn-master/samples/bin2png.lua
mc-cnn-master/samples/input/
mc-cnn-master/samples/input/kittiL.png
mc-cnn-master/samples/input/kittiR.png
mc-cnn-master/samples/load_bin.c
mc-cnn-master/samples/load_bin.lua
mc-cnn-master/samples/load_bin.m
mc-cnn-master/samples/load_bin.py
mc-cnn-master/samples/output/
mc-cnn-master/samples/output/disp.png
mc-cnn-master/samples/output/left.png
mc-cnn-master/samples/output/left_cnn.png
mc-cnn-master/samples/output/right.png
mc-cnn-master/samples/output/right_cnn.png
mc-cnn-master/test.lua
mc-cnn-master/tmp/
mc-cnn-master/tmp/.empty
mc-cnn-master/.gitignore
mc-cnn-master/BCECriterion2.lua
mc-cnn-master/LICENSE
mc-cnn-master/Makefile.proto
mc-cnn-master/Margin2.lua
mc-cnn-master/Normalize2.lua
mc-cnn-master/README.md
mc-cnn-master/SpatialConvolution1_fw.lua
mc-cnn-master/SpatialLogSoftMax.cu
mc-cnn-master/SpatialLogSoftMax.lua
mc-cnn-master/StereoJoin.lua
mc-cnn-master/StereoJoin1.lua
mc-cnn-master/Test.lua
mc-cnn-master/adcensus.cu
mc-cnn-master/cv.cpp
mc-cnn-master/download_middlebury.sh
mc-cnn-master/hs.py
mc-cnn-master/hs.sh
mc-cnn-master/main.lua
mc-cnn-master/main.sh
mc-cnn-master/net/
mc-cnn-master/net/.empty
mc-cnn-master/out/
mc-cnn-master/out/.empty
mc-cnn-master/predict_kitti.lua
mc-cnn-master/preprocess.sh
mc-cnn-master/preprocess_kitti.lua
mc-cnn-master/preprocess_mb.py
mc-cnn-master/rgs.py
mc-cnn-master/rgs_qsub.py
mc-cnn-master/rgs_qsub.sh
mc-cnn-master/samples/
mc-cnn-master/samples/bin2png.lua
mc-cnn-master/samples/input/
mc-cnn-master/samples/input/kittiL.png
mc-cnn-master/samples/input/kittiR.png
mc-cnn-master/samples/load_bin.c
mc-cnn-master/samples/load_bin.lua
mc-cnn-master/samples/load_bin.m
mc-cnn-master/samples/load_bin.py
mc-cnn-master/samples/output/
mc-cnn-master/samples/output/disp.png
mc-cnn-master/samples/output/left.png
mc-cnn-master/samples/output/left_cnn.png
mc-cnn-master/samples/output/right.png
mc-cnn-master/samples/output/right_cnn.png
mc-cnn-master/test.lua
mc-cnn-master/tmp/
mc-cnn-master/tmp/.empty
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