文件名称：Android代码-对象检测识别
文件大小：9.52MB
文件格式：ZIP
更新时间：2022-08-25 20:38:39
Android代码
Android-Object-Detection Requirements Android 4.0 support ARMv7 and x86 based devices Get the Caffe model and push it to Phone SDCard. For object detection, network(*.prototxt) should use ROILayer, you can refer to Fast-RCNN. For scene recognition(object recognition), it can use any caffe network and weight with memory input layer. Build with Gradle. You can use Android studio to build Feature Object detection - Region-based Convolutional Networks detection Selective Search on Andr
【文件预览】：
Android-Object-Detection-master
----gradlew(5KB)
----settings.gradle(27B)
----cnnlibs()
--------cnnlibs.iml(8KB)
--------src()
--------.gitignore(7B)
--------build.gradle(713B)
--------proguard-rules.pro(668B)
----demo()
--------4.png(368KB)
--------3.png(458KB)
--------5.png(874KB)
--------1.png(1.22MB)
--------2.png(80KB)
----.idea()
--------runConfigurations.xml(564B)
--------misc.xml(3KB)
--------compiler.xml(686B)
--------gradle.xml(679B)
--------.name(24B)
--------encodings.xml(159B)
--------modules.xml(760B)
--------copyright()
--------vcs.xml(180B)
----.travis.yml(438B)
----tools()
--------testcar.jpg(129KB)
--------get_model.py(2KB)
----gradle()
--------wrapper()
----VisionRecognition.iml(948B)
----README.md(3KB)
----contributors.txt(10B)
----gradlew.bat(2KB)
----gradle.properties(855B)
----.gitignore(143B)
----setup.sh(312B)
----app()
--------src()
--------app.iml(9KB)
--------.gitignore(7B)
--------build.gradle(1KB)
--------proguard-rules.pro(668B)
----build.gradle(878B)