PFLD-DEMO
所属分类:其他书籍
开发工具:Python
文件大小:11611KB
下载次数:5
上传日期:2020-01-08 09:27:08
上 传 者:
知命
说明: PFLD的python实现,用于人脸的关键点检测
(Python implementation of PFLD for key point detection of human face)
文件列表:
PFLD (0, 2018-11-18)
PFLD\.DS_Store (6148, 2018-11-18)
PFLD\.gradle (0, 2018-11-18)
PFLD\.gradle\2.14.1 (0, 2018-11-18)
PFLD\.gradle\2.14.1\taskArtifacts (0, 2018-11-18)
PFLD\.gradle\2.14.1\taskArtifacts\cache.properties (30, 2018-11-18)
PFLD\.gradle\2.14.1\taskArtifacts\cache.properties.lock (17, 2018-11-18)
PFLD\.gradle\2.14.1\taskArtifacts\fileHashes.bin (33279, 2018-11-18)
PFLD\.gradle\2.14.1\taskArtifacts\fileSnapshots.bin (402782, 2018-11-18)
PFLD\.gradle\2.14.1\taskArtifacts\fileSnapshotsToTreeSnapshotsIndex.bin (27248, 2018-11-18)
PFLD\.gradle\2.14.1\taskArtifacts\taskArtifacts.bin (119394, 2018-11-18)
PFLD\.gradle\2.14.1\tasks (0, 2018-11-18)
PFLD\.gradle\2.14.1\tasks\_app_compileDebugJavaWithJavac (0, 2018-11-18)
PFLD\.gradle\2.14.1\tasks\_app_compileDebugJavaWithJavac\localClassSetAnalysis (0, 2018-11-18)
PFLD\.gradle\2.14.1\tasks\_app_compileDebugJavaWithJavac\localClassSetAnalysis\localClassSetAnalysis.bin (25823, 2018-11-18)
PFLD\.gradle\2.14.1\tasks\_app_compileDebugJavaWithJavac\localClassSetAnalysis\localClassSetAnalysis.lock (17, 2018-11-18)
PFLD\.gradle\2.14.1\tasks\_app_compileDebugJavaWithJavac\localJarClasspathSnapshot (0, 2018-11-18)
PFLD\.gradle\2.14.1\tasks\_app_compileDebugJavaWithJavac\localJarClasspathSnapshot\localJarClasspathSnapshot.bin (19348, 2018-11-18)
PFLD\.gradle\2.14.1\tasks\_app_compileDebugJavaWithJavac\localJarClasspathSnapshot\localJarClasspathSnapshot.lock (17, 2018-11-18)
PFLD\.gradle\2.14.1\tasks\_app_compileReleaseJavaWithJavac (0, 2018-11-18)
PFLD\.gradle\2.14.1\tasks\_app_compileReleaseJavaWithJavac\localClassSetAnalysis (0, 2018-11-18)
PFLD\.gradle\2.14.1\tasks\_app_compileReleaseJavaWithJavac\localClassSetAnalysis\localClassSetAnalysis.bin (25823, 2018-11-18)
PFLD\.gradle\2.14.1\tasks\_app_compileReleaseJavaWithJavac\localClassSetAnalysis\localClassSetAnalysis.lock (17, 2018-11-18)
PFLD\.gradle\2.14.1\tasks\_app_compileReleaseJavaWithJavac\localJarClasspathSnapshot (0, 2018-11-18)
PFLD\.gradle\2.14.1\tasks\_app_compileReleaseJavaWithJavac\localJarClasspathSnapshot\localJarClasspathSnapshot.bin (19348, 2018-11-18)
PFLD\.gradle\2.14.1\tasks\_app_compileReleaseJavaWithJavac\localJarClasspathSnapshot\localJarClasspathSnapshot.lock (17, 2018-11-18)
PFLD\.idea (0, 2018-11-18)
PFLD\.idea\compiler.xml (686, 2018-11-18)
PFLD\.idea\copyright (0, 2018-11-18)
PFLD\.idea\copyright\profiles_settings.xml (74, 2018-11-18)
PFLD\.idea\gradle.xml (626, 2018-11-18)
PFLD\.idea\libraries (0, 2018-11-18)
PFLD\.idea\libraries\module_.xml (448, 2018-11-18)
PFLD\.idea\libraries\support_annotations_23_4_0.xml (569, 2018-11-18)
PFLD\.idea\libraries\support_v4_23_4_0.xml (759, 2018-11-18)
PFLD\.idea\misc.xml (1737, 2018-11-18)
PFLD\.idea\modules.xml (359, 2018-11-18)
PFLD\.idea\runConfigurations.xml (564, 2018-11-18)
PFLD\.idea\workspace.xml (160610, 2018-11-18)
PFLD\app (0, 2018-11-18)
... ...
This is the demo App for "PFLD: A Practical Facial Landmark Detector".
There are an Android APK (PFLD.apk) and a folder (PFLD) including the source files. Please notice that the whole project contains a face detector and our PFLD, the model of PFLD is 2.1MB (.\PFLD\app\src\main\assets\FaceTracking\models\tracking.bin).
How to use:
--------------------------------------------------------------------------------------------------------
For the APK:
Step 1: Install it ;
Step 2: Permit the App to read/write and visit *FRONT* camera
Step 3: Have fun!
--------------------------------------------------------------------------------------------------------
************************************************************************************************
--------------------------------------------------------------------------------------------------------
For the source project:
Step 1: Open the project with Android Studio;
Step 2: Configure ndk.dir and sdk.dir in local.properties;
Step 3: Build the App and install it;
Step 4: Permit the App to read/write and visit *FRONT* camera
Step 5: Have fun!
--------------------------------------------------------------------------------------------------------
近期下载者:
相关文件:
收藏者: