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apps_for_streaming

共32个文件

cpp：18个

sh：12个

md：1个

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//used for cammand and status debug if (old_vi_cmd != cap->cmd){ hv_dbg("capture frame command %d --> %d\n",old_vi_cmd,cap->cmd); old_vi_cmd = (int)cap->cmd; } if(old_status != cap-&

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Marc Harter works daily on large-scale projects including high-availability real-time applications, streaming interfaces, and other data-intensive systems. Table of Contents PART 1 NODE ...

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这是一个流媒体项目。它接受用户输入并将其返回到控制台，同时还将指定的任何文件写入它。例如，如果我运行 node streams.js message.txt 在此之后我在控制台中输入的任何内容都将被回显并写入 message.txt 文件。

DeepDriveMD-streaming

要为Radical ENTK设置运行程序的环境，请执行以下操作： source radical.sh 跑步： make 可能需要更改summit_md_test7.py各种路径才能在其他帐户上运行。通过采购powerai.sh来设置每个Task的环境，该工具设置了python环境并加载了ADIOS2模块。该python环境基于IBM的powerai python环境构建。添加了各种经过解

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介绍这是我对流式服务POST编码挑战的提交。它在开发在MacOS和运行作为一个在Amazon Web Services的容器运行实例。技术为何选择golang？由于流服务喜欢使用go，因此我选择允许它运行，并为这个挑战编写我的第一个go应用程序。学习如何设置新环境并尝试使用它非常有趣。我想证明自己可以Swift采用新技术，并且我认为我做得很好。为什么选择码头工人？ Doc

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收起资源包目录

apps_for_streaming-master.zip （32个子文件）

apps_for_streaming-master

compile.sh 154B

GPU

anomaly_detect_gpu

anomaly_detect_gpu.cpp 3KB

4_video_anomaly_gpu.cpp 3KB

surf_match_gpu

surf_match_gpu.cpp 6KB

hog_pedestrian_detect_gpu

hog_pedestrian_detect_gpu.cpp 2KB

face_detect_gpu

face_detect_gpu.cpp 3KB

car_detect_gpu

6_video_car_gpu.cpp 4KB

multi-video-car-detect-gpu.cpp 4KB

car_detect_gpu.cpp 3KB

CPU

anomaly_detect_cpu

anomaly_detect_cpu.cpp 3KB

surf_match

surf_match_cpu.cpp 7KB

car_detect_cpu

multi-video-car-detect-cpu.cpp 4KB

6-video-car-cpu.cpp 4KB

car_detect_cpu.cpp 2KB

face_detect_cpu

face_detect_cpu.cpp 2KB

hog_pedestrian_detect_cpu

hog_pedestrian_detect_cpu.cpp 2KB

caffe_app

compile.sh 1KB

call_app.java 535B

gpu.cpp 4KB

main.cpp 3KB

jni_compile.sh 664B

caffe_app.cpp 4KB

README.md 38B

script

run_6_gpu.sh 255B

gpu_power.sh 312B

run_gpu.sh 452B

run_4_gpu.sh 209B

idle_power.sh 109B

run_1_gpu.sh 139B

run_2_gpu.sh 163B

system_power.sh 348B

run_8_gpu.sh 301B

共 32 条

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