This commit is contained in:
anetla 2023-12-14 16:14:29 +01:00
parent ae157286e2
commit 1b81b4c1ff
49 changed files with 1195 additions and 2 deletions

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/app/build/
*.iml
.gradle
/local.properties
/.idea/caches
/.idea/libraries
/.idea/modules.xml
/.idea/workspace.xml
/.idea/navEditor.xml
/.idea/assetWizardSettings.xml
.DS_Store
/build
/captures
.externalNativeBuild
.cxx
local.properties

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# Default ignored files
/shelf/
/workspace.xml

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object_detection

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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="CompilerConfiguration">
<bytecodeTargetLevel target="17" />
</component>
</project>

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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="deploymentTargetDropDown">
<value>
<entry key="app">
<State />
</entry>
</value>
</component>
</project>

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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="GradleMigrationSettings" migrationVersion="1" />
<component name="GradleSettings">
<option name="linkedExternalProjectsSettings">
<GradleProjectSettings>
<option name="externalProjectPath" value="$PROJECT_DIR$" />
<option name="gradleJvm" value="#GRADLE_LOCAL_JAVA_HOME" />
<option name="modules">
<set>
<option value="$PROJECT_DIR$" />
<option value="$PROJECT_DIR$/app" />
</set>
</option>
<option name="resolveExternalAnnotations" value="false" />
</GradleProjectSettings>
</option>
</component>
</project>

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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="KotlinJpsPluginSettings">
<option name="version" value="1.7.10" />
</component>
</project>

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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="ProjectMigrations">
<option name="MigrateToGradleLocalJavaHome">
<set>
<option value="$PROJECT_DIR$" />
</set>
</option>
</component>
</project>

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<project version="4">
<component name="DesignSurface">
<option name="filePathToZoomLevelMap">
<map>
<entry key="app/src/main/res/layout/activity_main.xml" value="0.25364583333333335" />
</map>
</option>
</component>
<component name="ProjectRootManager" version="2" languageLevel="JDK_17" default="true" project-jdk-name="jbr-17" project-jdk-type="JavaSDK">
<output url="file://$PROJECT_DIR$/build/classes" />
</component>
<component name="ProjectType">
<option name="id" value="Android" />
</component>
</project>

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# object_detection_android
code in refrence to youtube tutorial : https://youtu.be/RDARCjVpg8Q

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/build

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plugins {
id 'com.android.application'
id 'org.jetbrains.kotlin.android'
}
android {
compileSdk 32
defaultConfig {
applicationId "com.programminghut.object_detection"
minSdk 24
targetSdk 32
versionCode 1
versionName "1.0"
testInstrumentationRunner "androidx.test.runner.AndroidJUnitRunner"
}
buildTypes {
release {
minifyEnabled false
proguardFiles getDefaultProguardFile('proguard-android-optimize.txt'), 'proguard-rules.pro'
}
}
compileOptions {
sourceCompatibility JavaVersion.VERSION_1_8
targetCompatibility JavaVersion.VERSION_1_8
}
kotlinOptions {
jvmTarget = '1.8'
}
buildFeatures {
mlModelBinding true
}
}
dependencies {
implementation 'androidx.core:core-ktx:1.7.0'
implementation 'androidx.appcompat:appcompat:1.5.1'
implementation 'com.google.android.material:material:1.7.0'
implementation 'androidx.constraintlayout:constraintlayout:2.1.4'
implementation 'org.tensorflow:tensorflow-lite-support:0.1.0'
implementation 'org.tensorflow:tensorflow-lite-metadata:0.1.0'
implementation 'org.tensorflow:tensorflow-lite-gpu:2.3.0'
testImplementation 'junit:junit:4.13.2'
androidTestImplementation 'androidx.test.ext:junit:1.1.4'
androidTestImplementation 'androidx.test.espresso:espresso-core:3.5.0'
}

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# Add project specific ProGuard rules here.
# You can control the set of applied configuration files using the
# proguardFiles setting in build.gradle.
#
# For more details, see
# http://developer.android.com/guide/developing/tools/proguard.html
# If your project uses WebView with JS, uncomment the following
# and specify the fully qualified class name to the JavaScript interface
# class:
#-keepclassmembers class fqcn.of.javascript.interface.for.webview {
# public *;
#}
# Uncomment this to preserve the line number information for
# debugging stack traces.
#-keepattributes SourceFile,LineNumberTable
# If you keep the line number information, uncomment this to
# hide the original source file name.
#-renamesourcefileattribute SourceFile

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package com.programminghut.object_detection
import androidx.test.platform.app.InstrumentationRegistry
import androidx.test.ext.junit.runners.AndroidJUnit4
import org.junit.Test
import org.junit.runner.RunWith
import org.junit.Assert.*
/**
* Instrumented test, which will execute on an Android device.
*
* See [testing documentation](http://d.android.com/tools/testing).
*/
@RunWith(AndroidJUnit4::class)
class ExampleInstrumentedTest {
@Test
fun useAppContext() {
// Context of the app under test.
val appContext = InstrumentationRegistry.getInstrumentation().targetContext
assertEquals("com.programminghut.object_detection", appContext.packageName)
}
}

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<?xml version="1.0" encoding="utf-8"?>
<manifest xmlns:android="http://schemas.android.com/apk/res/android"
xmlns:tools="http://schemas.android.com/tools"
package="com.programminghut.object_detection">
<application
android:allowBackup="true"
android:dataExtractionRules="@xml/data_extraction_rules"
android:fullBackupContent="@xml/backup_rules"
android:icon="@mipmap/ic_launcher"
android:label="@string/app_name"
android:roundIcon="@mipmap/ic_launcher_round"
android:supportsRtl="true"
android:theme="@style/Theme.Object_detection"
tools:targetApi="31">
<activity
android:name=".MainActivity"
android:exported="true">
<intent-filter>
<action android:name="android.intent.action.MAIN" />
<category android:name="android.intent.category.LAUNCHER" />
</intent-filter>
</activity>
</application>
</manifest>

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b_fully_ripened
b_half_ripened
b_green
l_fully_ripened
l_half_ripened
l_green

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package com.programminghut.object_detection
import android.content.Intent
import android.graphics.Bitmap
import android.graphics.Canvas
import android.graphics.Color
import android.graphics.Paint
import android.os.Bundle
import android.provider.MediaStore
import android.util.Log
import android.widget.Button
import android.widget.ImageView
import androidx.appcompat.app.AppCompatActivity
import com.programminghut.object_detection.ml.BestFloat16
import org.tensorflow.lite.support.common.FileUtil
import org.tensorflow.lite.support.image.ImageProcessor
import org.tensorflow.lite.support.image.TensorImage
import org.tensorflow.lite.support.image.ops.ResizeOp
class MainActivity : AppCompatActivity() {
val paint = Paint()
lateinit var btn: Button
lateinit var imageView: ImageView
lateinit var bitmap: Bitmap
var colors = listOf<Int>(Color.BLUE, Color.GREEN, Color.RED, Color.CYAN, Color.GRAY, Color.BLACK,
Color.DKGRAY, Color.MAGENTA, Color.YELLOW, Color.RED)
lateinit var labels: List<String>
lateinit var model: BestFloat16
val imageProcessor = ImageProcessor.Builder().add(ResizeOp(300, 300, ResizeOp.ResizeMethod.BILINEAR)).build()
override fun onCreate(savedInstanceState: Bundle?) {
super.onCreate(savedInstanceState)
setContentView(R.layout.activity_main)
labels = FileUtil.loadLabels(this, "labels.txt")
model = BestFloat16.newInstance(this)
paint.setColor(Color.BLUE)
paint.style = Paint.Style.STROKE
paint.strokeWidth = 5.0f
// paint.textSize = paint.textSize*3
Log.d("labels", labels.toString())
val intent = Intent()
intent.setAction(Intent.ACTION_GET_CONTENT)
intent.setType("image/*")
btn = findViewById(R.id.btn)
imageView = findViewById(R.id.imaegView)
btn.setOnClickListener {
startActivityForResult(intent, 101)
}
}
override fun onActivityResult(requestCode: Int, resultCode: Int, data: Intent?) {
super.onActivityResult(requestCode, resultCode, data)
if(requestCode == 101){
var uri = data?.data
bitmap = MediaStore.Images.Media.getBitmap(this.contentResolver, uri)
get_predictions()
}
}
override fun onDestroy() {
super.onDestroy()
model.close()
}
fun get_predictions(){
// Creates inputs for reference.
val image = TensorImage.fromBitmap(bitmap)
// Runs model inference and gets result.
val outputs = model.process(image)
val output = outputs.outputAsCategoryList
// Releases model resources if no longer used.
val mutable = bitmap.copy(Bitmap.Config.ARGB_8888, true)
var canvas = Canvas(mutable)
var h = mutable.height
var w = mutable.width
paint.textSize = h/15f
paint.strokeWidth = h/85f
imageView.setImageBitmap(mutable)
}
}

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<vector xmlns:android="http://schemas.android.com/apk/res/android"
xmlns:aapt="http://schemas.android.com/aapt"
android:width="108dp"
android:height="108dp"
android:viewportWidth="108"
android:viewportHeight="108">
<path android:pathData="M31,63.928c0,0 6.4,-11 12.1,-13.1c7.2,-2.6 26,-1.4 26,-1.4l38.1,38.1L107,108.928l-32,-1L31,63.928z">
<aapt:attr name="android:fillColor">
<gradient
android:endX="85.84757"
android:endY="92.4963"
android:startX="42.9492"
android:startY="49.59793"
android:type="linear">
<item
android:color="#44000000"
android:offset="0.0" />
<item
android:color="#00000000"
android:offset="1.0" />
</gradient>
</aapt:attr>
</path>
<path
android:fillColor="#FFFFFF"
android:fillType="nonZero"
android:pathData="M65.3,45.828l3.8,-6.6c0.2,-0.4 0.1,-0.9 -0.3,-1.1c-0.4,-0.2 -0.9,-0.1 -1.1,0.3l-3.9,6.7c-6.3,-2.8 -13.4,-2.8 -19.7,0l-3.9,-6.7c-0.2,-0.4 -0.7,-0.5 -1.1,-0.3C38.8,38.328 38.7,38.828 38.9,39.228l3.8,6.6C36.2,49.428 31.7,56.028 31,63.928h46C76.3,56.028 71.8,49.428 65.3,45.828zM43.4,57.328c-0.8,0 -1.5,-0.5 -1.8,-1.2c-0.3,-0.7 -0.1,-1.5 0.4,-2.1c0.5,-0.5 1.4,-0.7 2.1,-0.4c0.7,0.3 1.2,1 1.2,1.8C45.3,56.528 44.5,57.328 43.4,57.328L43.4,57.328zM64.6,57.328c-0.8,0 -1.5,-0.5 -1.8,-1.2s-0.1,-1.5 0.4,-2.1c0.5,-0.5 1.4,-0.7 2.1,-0.4c0.7,0.3 1.2,1 1.2,1.8C66.5,56.528 65.6,57.328 64.6,57.328L64.6,57.328z"
android:strokeWidth="1"
android:strokeColor="#00000000" />
</vector>

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<?xml version="1.0" encoding="utf-8"?>
<vector xmlns:android="http://schemas.android.com/apk/res/android"
android:width="108dp"
android:height="108dp"
android:viewportWidth="108"
android:viewportHeight="108">
<path
android:fillColor="#3DDC84"
android:pathData="M0,0h108v108h-108z" />
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android:strokeWidth="0.8"
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<?xml version="1.0" encoding="utf-8"?>
<RelativeLayout xmlns:android="http://schemas.android.com/apk/res/android"
xmlns:app="http://schemas.android.com/apk/res-auto"
xmlns:tools="http://schemas.android.com/tools"
android:layout_width="match_parent"
android:layout_height="match_parent"
tools:context=".MainActivity">
<Button
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:layout_alignParentBottom="true"
android:layout_centerHorizontal="true"
android:layout_marginBottom="20dp"
android:text="select image"
android:id="@+id/btn"
android:backgroundTint="#E91E63"/>
<ImageView
android:layout_width="match_parent"
android:layout_height="match_parent"
android:background="#6BD9FF00"
android:id="@+id/imaegView"/>
</RelativeLayout>

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<?xml version="1.0" encoding="utf-8"?>
<adaptive-icon xmlns:android="http://schemas.android.com/apk/res/android">
<background android:drawable="@drawable/ic_launcher_background" />
<foreground android:drawable="@drawable/ic_launcher_foreground" />
</adaptive-icon>

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<?xml version="1.0" encoding="utf-8"?>
<adaptive-icon xmlns:android="http://schemas.android.com/apk/res/android">
<background android:drawable="@drawable/ic_launcher_background" />
<foreground android:drawable="@drawable/ic_launcher_foreground" />
</adaptive-icon>

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<resources xmlns:tools="http://schemas.android.com/tools">
<!-- Base application theme. -->
<style name="Theme.Object_detection" parent="Theme.MaterialComponents.DayNight.DarkActionBar">
<!-- Primary brand color. -->
<item name="colorPrimary">@color/purple_200</item>
<item name="colorPrimaryVariant">@color/purple_700</item>
<item name="colorOnPrimary">@color/black</item>
<!-- Secondary brand color. -->
<item name="colorSecondary">@color/teal_200</item>
<item name="colorSecondaryVariant">@color/teal_200</item>
<item name="colorOnSecondary">@color/black</item>
<!-- Status bar color. -->
<item name="android:statusBarColor" tools:targetApi="l">?attr/colorPrimaryVariant</item>
<!-- Customize your theme here. -->
</style>
</resources>

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<?xml version="1.0" encoding="utf-8"?>
<resources>
<color name="purple_200">#FFBB86FC</color>
<color name="purple_500">#FF6200EE</color>
<color name="purple_700">#FF3700B3</color>
<color name="teal_200">#FF03DAC5</color>
<color name="teal_700">#FF018786</color>
<color name="black">#FF000000</color>
<color name="white">#FFFFFFFF</color>
</resources>

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<resources>
<string name="app_name">object_detection</string>
</resources>

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<resources xmlns:tools="http://schemas.android.com/tools">
<!-- Base application theme. -->
<style name="Theme.Object_detection" parent="Theme.MaterialComponents.DayNight.DarkActionBar">
<!-- Primary brand color. -->
<item name="colorPrimary">@color/purple_500</item>
<item name="colorPrimaryVariant">@color/purple_700</item>
<item name="colorOnPrimary">@color/white</item>
<!-- Secondary brand color. -->
<item name="colorSecondary">@color/teal_200</item>
<item name="colorSecondaryVariant">@color/teal_700</item>
<item name="colorOnSecondary">@color/black</item>
<!-- Status bar color. -->
<item name="android:statusBarColor" tools:targetApi="l">?attr/colorPrimaryVariant</item>
<!-- Customize your theme here. -->
</style>
</resources>

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<?xml version="1.0" encoding="utf-8"?><!--
Sample backup rules file; uncomment and customize as necessary.
See https://developer.android.com/guide/topics/data/autobackup
for details.
Note: This file is ignored for devices older that API 31
See https://developer.android.com/about/versions/12/backup-restore
-->
<full-backup-content>
<!--
<include domain="sharedpref" path="."/>
<exclude domain="sharedpref" path="device.xml"/>
-->
</full-backup-content>

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<?xml version="1.0" encoding="utf-8"?><!--
Sample data extraction rules file; uncomment and customize as necessary.
See https://developer.android.com/about/versions/12/backup-restore#xml-changes
for details.
-->
<data-extraction-rules>
<cloud-backup>
<!-- TODO: Use <include> and <exclude> to control what is backed up.
<include .../>
<exclude .../>
-->
</cloud-backup>
<!--
<device-transfer>
<include .../>
<exclude .../>
</device-transfer>
-->
</data-extraction-rules>

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package com.programminghut.object_detection
import org.junit.Test
import org.junit.Assert.*
/**
* Example local unit test, which will execute on the development machine (host).
*
* See [testing documentation](http://d.android.com/tools/testing).
*/
class ExampleUnitTest {
@Test
fun addition_isCorrect() {
assertEquals(4, 2 + 2)
}
}

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// Top-level build file where you can add configuration options common to all sub-projects/modules.
plugins {
id 'com.android.application' version '7.2.2' apply false
id 'com.android.library' version '7.2.2' apply false
id 'org.jetbrains.kotlin.android' version '1.7.10' apply false
}
task clean(type: Delete) {
delete rootProject.buildDir
}

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# Project-wide Gradle settings.
# IDE (e.g. Android Studio) users:
# Gradle settings configured through the IDE *will override*
# any settings specified in this file.
# For more details on how to configure your build environment visit
# http://www.gradle.org/docs/current/userguide/build_environment.html
# Specifies the JVM arguments used for the daemon process.
# The setting is particularly useful for tweaking memory settings.
org.gradle.jvmargs=-Xmx2048m -Dfile.encoding=UTF-8
# When configured, Gradle will run in incubating parallel mode.
# This option should only be used with decoupled projects. More details, visit
# http://www.gradle.org/docs/current/userguide/multi_project_builds.html#sec:decoupled_projects
# org.gradle.parallel=true
# AndroidX package structure to make it clearer which packages are bundled with the
# Android operating system, and which are packaged with your app"s APK
# https://developer.android.com/topic/libraries/support-library/androidx-rn
android.useAndroidX=true
# Kotlin code style for this project: "official" or "obsolete":
kotlin.code.style=official
# Enables namespacing of each library's R class so that its R class includes only the
# resources declared in the library itself and none from the library's dependencies,
# thereby reducing the size of the R class for that library
android.nonTransitiveRClass=true

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#Wed Dec 28 14:03:26 IST 2022
distributionBase=GRADLE_USER_HOME
distributionUrl=https\://services.gradle.org/distributions/gradle-7.3.3-bin.zip
distributionPath=wrapper/dists
zipStorePath=wrapper/dists
zipStoreBase=GRADLE_USER_HOME

185
object_detection_android-main/gradlew vendored Normal file
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#!/usr/bin/env sh
#
# Copyright 2015 the original author or authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
##############################################################################
##
## Gradle start up script for UN*X
##
##############################################################################
# Attempt to set APP_HOME
# Resolve links: $0 may be a link
PRG="$0"
# Need this for relative symlinks.
while [ -h "$PRG" ] ; do
ls=`ls -ld "$PRG"`
link=`expr "$ls" : '.*-> \(.*\)$'`
if expr "$link" : '/.*' > /dev/null; then
PRG="$link"
else
PRG=`dirname "$PRG"`"/$link"
fi
done
SAVED="`pwd`"
cd "`dirname \"$PRG\"`/" >/dev/null
APP_HOME="`pwd -P`"
cd "$SAVED" >/dev/null
APP_NAME="Gradle"
APP_BASE_NAME=`basename "$0"`
# Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script.
DEFAULT_JVM_OPTS='"-Xmx64m" "-Xms64m"'
# Use the maximum available, or set MAX_FD != -1 to use that value.
MAX_FD="maximum"
warn () {
echo "$*"
}
die () {
echo
echo "$*"
echo
exit 1
}
# OS specific support (must be 'true' or 'false').
cygwin=false
msys=false
darwin=false
nonstop=false
case "`uname`" in
CYGWIN* )
cygwin=true
;;
Darwin* )
darwin=true
;;
MINGW* )
msys=true
;;
NONSTOP* )
nonstop=true
;;
esac
CLASSPATH=$APP_HOME/gradle/wrapper/gradle-wrapper.jar
# Determine the Java command to use to start the JVM.
if [ -n "$JAVA_HOME" ] ; then
if [ -x "$JAVA_HOME/jre/sh/java" ] ; then
# IBM's JDK on AIX uses strange locations for the executables
JAVACMD="$JAVA_HOME/jre/sh/java"
else
JAVACMD="$JAVA_HOME/bin/java"
fi
if [ ! -x "$JAVACMD" ] ; then
die "ERROR: JAVA_HOME is set to an invalid directory: $JAVA_HOME
Please set the JAVA_HOME variable in your environment to match the
location of your Java installation."
fi
else
JAVACMD="java"
which java >/dev/null 2>&1 || die "ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH.
Please set the JAVA_HOME variable in your environment to match the
location of your Java installation."
fi
# Increase the maximum file descriptors if we can.
if [ "$cygwin" = "false" -a "$darwin" = "false" -a "$nonstop" = "false" ] ; then
MAX_FD_LIMIT=`ulimit -H -n`
if [ $? -eq 0 ] ; then
if [ "$MAX_FD" = "maximum" -o "$MAX_FD" = "max" ] ; then
MAX_FD="$MAX_FD_LIMIT"
fi
ulimit -n $MAX_FD
if [ $? -ne 0 ] ; then
warn "Could not set maximum file descriptor limit: $MAX_FD"
fi
else
warn "Could not query maximum file descriptor limit: $MAX_FD_LIMIT"
fi
fi
# For Darwin, add options to specify how the application appears in the dock
if $darwin; then
GRADLE_OPTS="$GRADLE_OPTS \"-Xdock:name=$APP_NAME\" \"-Xdock:icon=$APP_HOME/media/gradle.icns\""
fi
# For Cygwin or MSYS, switch paths to Windows format before running java
if [ "$cygwin" = "true" -o "$msys" = "true" ] ; then
APP_HOME=`cygpath --path --mixed "$APP_HOME"`
CLASSPATH=`cygpath --path --mixed "$CLASSPATH"`
JAVACMD=`cygpath --unix "$JAVACMD"`
# We build the pattern for arguments to be converted via cygpath
ROOTDIRSRAW=`find -L / -maxdepth 1 -mindepth 1 -type d 2>/dev/null`
SEP=""
for dir in $ROOTDIRSRAW ; do
ROOTDIRS="$ROOTDIRS$SEP$dir"
SEP="|"
done
OURCYGPATTERN="(^($ROOTDIRS))"
# Add a user-defined pattern to the cygpath arguments
if [ "$GRADLE_CYGPATTERN" != "" ] ; then
OURCYGPATTERN="$OURCYGPATTERN|($GRADLE_CYGPATTERN)"
fi
# Now convert the arguments - kludge to limit ourselves to /bin/sh
i=0
for arg in "$@" ; do
CHECK=`echo "$arg"|egrep -c "$OURCYGPATTERN" -`
CHECK2=`echo "$arg"|egrep -c "^-"` ### Determine if an option
if [ $CHECK -ne 0 ] && [ $CHECK2 -eq 0 ] ; then ### Added a condition
eval `echo args$i`=`cygpath --path --ignore --mixed "$arg"`
else
eval `echo args$i`="\"$arg\""
fi
i=`expr $i + 1`
done
case $i in
0) set -- ;;
1) set -- "$args0" ;;
2) set -- "$args0" "$args1" ;;
3) set -- "$args0" "$args1" "$args2" ;;
4) set -- "$args0" "$args1" "$args2" "$args3" ;;
5) set -- "$args0" "$args1" "$args2" "$args3" "$args4" ;;
6) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" ;;
7) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" ;;
8) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" "$args7" ;;
9) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" "$args7" "$args8" ;;
esac
fi
# Escape application args
save () {
for i do printf %s\\n "$i" | sed "s/'/'\\\\''/g;1s/^/'/;\$s/\$/' \\\\/" ; done
echo " "
}
APP_ARGS=`save "$@"`
# Collect all arguments for the java command, following the shell quoting and substitution rules
eval set -- $DEFAULT_JVM_OPTS $JAVA_OPTS $GRADLE_OPTS "\"-Dorg.gradle.appname=$APP_BASE_NAME\"" -classpath "\"$CLASSPATH\"" org.gradle.wrapper.GradleWrapperMain "$APP_ARGS"
exec "$JAVACMD" "$@"

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@ -0,0 +1,89 @@
@rem
@rem Copyright 2015 the original author or authors.
@rem
@rem Licensed under the Apache License, Version 2.0 (the "License");
@rem you may not use this file except in compliance with the License.
@rem You may obtain a copy of the License at
@rem
@rem https://www.apache.org/licenses/LICENSE-2.0
@rem
@rem Unless required by applicable law or agreed to in writing, software
@rem distributed under the License is distributed on an "AS IS" BASIS,
@rem WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
@rem See the License for the specific language governing permissions and
@rem limitations under the License.
@rem
@if "%DEBUG%" == "" @echo off
@rem ##########################################################################
@rem
@rem Gradle startup script for Windows
@rem
@rem ##########################################################################
@rem Set local scope for the variables with windows NT shell
if "%OS%"=="Windows_NT" setlocal
set DIRNAME=%~dp0
if "%DIRNAME%" == "" set DIRNAME=.
set APP_BASE_NAME=%~n0
set APP_HOME=%DIRNAME%
@rem Resolve any "." and ".." in APP_HOME to make it shorter.
for %%i in ("%APP_HOME%") do set APP_HOME=%%~fi
@rem Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script.
set DEFAULT_JVM_OPTS="-Xmx64m" "-Xms64m"
@rem Find java.exe
if defined JAVA_HOME goto findJavaFromJavaHome
set JAVA_EXE=java.exe
%JAVA_EXE% -version >NUL 2>&1
if "%ERRORLEVEL%" == "0" goto execute
echo.
echo ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH.
echo.
echo Please set the JAVA_HOME variable in your environment to match the
echo location of your Java installation.
goto fail
:findJavaFromJavaHome
set JAVA_HOME=%JAVA_HOME:"=%
set JAVA_EXE=%JAVA_HOME%/bin/java.exe
if exist "%JAVA_EXE%" goto execute
echo.
echo ERROR: JAVA_HOME is set to an invalid directory: %JAVA_HOME%
echo.
echo Please set the JAVA_HOME variable in your environment to match the
echo location of your Java installation.
goto fail
:execute
@rem Setup the command line
set CLASSPATH=%APP_HOME%\gradle\wrapper\gradle-wrapper.jar
@rem Execute Gradle
"%JAVA_EXE%" %DEFAULT_JVM_OPTS% %JAVA_OPTS% %GRADLE_OPTS% "-Dorg.gradle.appname=%APP_BASE_NAME%" -classpath "%CLASSPATH%" org.gradle.wrapper.GradleWrapperMain %*
:end
@rem End local scope for the variables with windows NT shell
if "%ERRORLEVEL%"=="0" goto mainEnd
:fail
rem Set variable GRADLE_EXIT_CONSOLE if you need the _script_ return code instead of
rem the _cmd.exe /c_ return code!
if not "" == "%GRADLE_EXIT_CONSOLE%" exit 1
exit /b 1
:mainEnd
if "%OS%"=="Windows_NT" endlocal
:omega

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@ -0,0 +1,16 @@
pluginManagement {
repositories {
gradlePluginPortal()
google()
mavenCentral()
}
}
dependencyResolutionManagement {
repositoriesMode.set(RepositoriesMode.FAIL_ON_PROJECT_REPOS)
repositories {
google()
mavenCentral()
}
}
rootProject.name = "object_detection"
include ':app'

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@ -1614,7 +1614,7 @@
},
{
"cell_type": "code",
"execution_count": 5,
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
@ -1624,13 +1624,78 @@
},
{
"cell_type": "code",
"execution_count": 21,
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"model_onnx = onnx.load(r\"runs\\detect\\train\\weights\\best.onnx\")"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Ultralytics YOLOv8.0.215 🚀 Python-3.9.18 torch-2.1.1+cpu CPU (11th Gen Intel Core(TM) i7-11800H 2.30GHz)\n",
"Model summary (fused): 268 layers, 68129346 parameters, 0 gradients, 257.4 GFLOPs\n",
"\n",
"\u001b[34m\u001b[1mPyTorch:\u001b[0m starting from 'runs\\detect\\train\\weights\\best.pt' with input shape (1, 3, 640, 640) BCHW and output shape(s) (1, 10, 8400) (130.4 MB)\n",
"\u001b[34m\u001b[1mTensorFlow SavedModel:\u001b[0m export failure ❌ 8.6s: __init__() got an unexpected keyword argument 'metaclass'\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"WARNING:tensorflow:From C:\\Users\\aneta\\anaconda3\\lib\\site-packages\\keras\\src\\losses.py:2976: The name tf.losses.sparse_softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.sparse_softmax_cross_entropy instead.\n",
"\n",
"Traceback (most recent call last):\n",
" File \"C:\\Users\\aneta\\anaconda3\\Scripts\\yolo-script.py\", line 9, in <module>\n",
" sys.exit(entrypoint())\n",
" File \"C:\\Users\\aneta\\anaconda3\\lib\\site-packages\\ultralytics\\cfg\\__init__.py\", line 445, in entrypoint\n",
" getattr(model, mode)(**overrides) # default args from model\n",
" File \"C:\\Users\\aneta\\anaconda3\\lib\\site-packages\\ultralytics\\engine\\model.py\", line 310, in export\n",
" return Exporter(overrides=args, _callbacks=self.callbacks)(model=self.model)\n",
" File \"C:\\Users\\aneta\\anaconda3\\lib\\site-packages\\torch\\utils\\_contextlib.py\", line 115, in decorate_context\n",
" return func(*args, **kwargs)\n",
" File \"C:\\Users\\aneta\\anaconda3\\lib\\site-packages\\ultralytics\\engine\\exporter.py\", line 261, in __call__\n",
" f[5], keras_model = self.export_saved_model()\n",
" File \"C:\\Users\\aneta\\anaconda3\\lib\\site-packages\\ultralytics\\engine\\exporter.py\", line 122, in outer_func\n",
" raise e\n",
" File \"C:\\Users\\aneta\\anaconda3\\lib\\site-packages\\ultralytics\\engine\\exporter.py\", line 117, in outer_func\n",
" f, model = inner_func(*args, **kwargs)\n",
" File \"C:\\Users\\aneta\\anaconda3\\lib\\site-packages\\ultralytics\\engine\\exporter.py\", line 646, in export_saved_model\n",
" import tensorflow as tf # noqa\n",
" File \"C:\\Users\\aneta\\AppData\\Roaming\\Python\\Python39\\site-packages\\tensorflow\\__init__.py\", line 485, in <module>\n",
" importlib.import_module(\"keras.src.optimizers\")\n",
" File \"C:\\Users\\aneta\\anaconda3\\lib\\importlib\\__init__.py\", line 127, in import_module\n",
" return _bootstrap._gcd_import(name[level:], package, level)\n",
" File \"C:\\Users\\aneta\\anaconda3\\lib\\site-packages\\keras\\__init__.py\", line 20, in <module>\n",
" from keras import distribute\n",
" File \"C:\\Users\\aneta\\anaconda3\\lib\\site-packages\\keras\\distribute\\__init__.py\", line 18, in <module>\n",
" from keras.distribute import sidecar_evaluator\n",
" File \"C:\\Users\\aneta\\anaconda3\\lib\\site-packages\\keras\\distribute\\sidecar_evaluator.py\", line 22, in <module>\n",
" from keras.optimizers.optimizer_experimental import (\n",
" File \"C:\\Users\\aneta\\anaconda3\\lib\\site-packages\\keras\\optimizers\\__init__.py\", line 26, in <module>\n",
" from keras.optimizers.legacy import adadelta as adadelta_legacy\n",
" File \"C:\\Users\\aneta\\anaconda3\\lib\\site-packages\\keras\\optimizers\\legacy\\adadelta.py\", line 17, in <module>\n",
" from keras.optimizers.optimizer_v2 import adadelta\n",
" File \"C:\\Users\\aneta\\anaconda3\\lib\\site-packages\\keras\\optimizers\\optimizer_v2\\adadelta.py\", line 21, in <module>\n",
" from keras.optimizers.optimizer_v2 import optimizer_v2\n",
" File \"C:\\Users\\aneta\\anaconda3\\lib\\site-packages\\keras\\optimizers\\optimizer_v2\\optimizer_v2.py\", line 103, in <module>\n",
" @keras_export(\"keras.optimizers.Optimizer\", metaclass=abc.ABCMeta)\n",
"TypeError: __init__() got an unexpected keyword argument 'metaclass'\n"
]
}
],
"source": [
"!yolo export model=runs/detect/train/weights/best.pt format=tflite "
]
},
{
"cell_type": "code",
"execution_count": 22,
@ -1650,6 +1715,162 @@
"source": [
"onnx.save(model_simp, r\"runs\\detect\\train\\weights\\best_sim.onnx\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Convert model to tflite"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import tensorflow as tf"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1.24.3\n"
]
}
],
"source": [
"print(numpy.__version__)"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import onnx"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"import tensorflow as tf"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"from tensorflow.keras import layers"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"import keras.utils"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"c:\\Users\\aneta\\anaconda3\\envs\\another_try\\lib\\site-packages\\tensorflow_addons\\utils\\tfa_eol_msg.py:23: UserWarning: \n",
"\n",
"TensorFlow Addons (TFA) has ended development and introduction of new features.\n",
"TFA has entered a minimal maintenance and release mode until a planned end of life in May 2024.\n",
"Please modify downstream libraries to take dependencies from other repositories in our TensorFlow community (e.g. Keras, Keras-CV, and Keras-NLP). \n",
"\n",
"For more information see: https://github.com/tensorflow/addons/issues/2807 \n",
"\n",
" warnings.warn(\n",
"c:\\Users\\aneta\\anaconda3\\envs\\another_try\\lib\\site-packages\\tensorflow_addons\\utils\\ensure_tf_install.py:53: UserWarning: Tensorflow Addons supports using Python ops for all Tensorflow versions above or equal to 2.11.0 and strictly below 2.14.0 (nightly versions are not supported). \n",
" The versions of TensorFlow you are currently using is 2.3.0 and is not supported. \n",
"Some things might work, some things might not.\n",
"If you were to encounter a bug, do not file an issue.\n",
"If you want to make sure you're using a tested and supported configuration, either change the TensorFlow version or the TensorFlow Addons's version. \n",
"You can find the compatibility matrix in TensorFlow Addon's readme:\n",
"https://github.com/tensorflow/addons\n",
" warnings.warn(\n"
]
},
{
"ename": "ImportError",
"evalue": "cannot import name 'tf_utils' from 'keras.utils' (c:\\Users\\aneta\\anaconda3\\envs\\another_try\\lib\\site-packages\\keras\\utils\\__init__.py)",
"output_type": "error",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[1;31mImportError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[1;32mIn[11], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01monnx_tf\u001b[39;00m\n",
"File \u001b[1;32mc:\\Users\\aneta\\anaconda3\\envs\\another_try\\lib\\site-packages\\onnx_tf\\__init__.py:1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m backend\n\u001b[0;32m 2\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mversion\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m version \u001b[38;5;28;01mas\u001b[39;00m __version__\n",
"File \u001b[1;32mc:\\Users\\aneta\\anaconda3\\envs\\another_try\\lib\\site-packages\\onnx_tf\\backend.py:28\u001b[0m\n\u001b[0;32m 26\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01monnx_tf\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcommon\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m get_unique_suffix\n\u001b[0;32m 27\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01monnx_tf\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcommon\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m supports_device \u001b[38;5;28;01mas\u001b[39;00m common_supports_device\n\u001b[1;32m---> 28\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01monnx_tf\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcommon\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mhandler_helper\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m get_all_backend_handlers\n\u001b[0;32m 29\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01monnx_tf\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpb_wrapper\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m OnnxNode\n\u001b[0;32m 30\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01monnx_tf\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mbackend_tf_module\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m BackendTFModule, TFModule\n",
"File \u001b[1;32mc:\\Users\\aneta\\anaconda3\\envs\\another_try\\lib\\site-packages\\onnx_tf\\common\\handler_helper.py:3\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01monnx\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m defs\n\u001b[1;32m----> 3\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01monnx_tf\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mhandlers\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mbackend\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;241m*\u001b[39m \u001b[38;5;66;03m# noqa\u001b[39;00m\n\u001b[0;32m 4\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01monnx_tf\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mhandlers\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mbackend_handler\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m BackendHandler\n\u001b[0;32m 5\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01monnx_tf\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcommon\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mcommon\u001b[39;00m\n",
"File \u001b[1;32mc:\\Users\\aneta\\anaconda3\\envs\\another_try\\lib\\site-packages\\onnx_tf\\handlers\\backend\\hardmax.py:3\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mnumpy\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mnp\u001b[39;00m\n\u001b[0;32m 2\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mtf\u001b[39;00m\n\u001b[1;32m----> 3\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mtensorflow_addons\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mtfa\u001b[39;00m\n\u001b[0;32m 5\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01monnx_tf\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mhandlers\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mbackend_handler\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m BackendHandler\n\u001b[0;32m 6\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01monnx_tf\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mhandlers\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mhandler\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m onnx_op\n",
"File \u001b[1;32mc:\\Users\\aneta\\anaconda3\\envs\\another_try\\lib\\site-packages\\tensorflow_addons\\__init__.py:29\u001b[0m\n\u001b[0;32m 27\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow_addons\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m losses\n\u001b[0;32m 28\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow_addons\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m metrics\n\u001b[1;32m---> 29\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow_addons\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m optimizers\n\u001b[0;32m 30\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow_addons\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m rnn\n\u001b[0;32m 31\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow_addons\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m seq2seq\n",
"File \u001b[1;32mc:\\Users\\aneta\\anaconda3\\envs\\another_try\\lib\\site-packages\\tensorflow_addons\\optimizers\\__init__.py:30\u001b[0m\n\u001b[0;32m 24\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow_addons\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01moptimizers\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcyclical_learning_rate\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m (\n\u001b[0;32m 25\u001b[0m Triangular2CyclicalLearningRate,\n\u001b[0;32m 26\u001b[0m )\n\u001b[0;32m 27\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow_addons\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01moptimizers\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcyclical_learning_rate\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m (\n\u001b[0;32m 28\u001b[0m ExponentialCyclicalLearningRate,\n\u001b[0;32m 29\u001b[0m )\n\u001b[1;32m---> 30\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow_addons\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01moptimizers\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mdiscriminative_layer_training\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m (\n\u001b[0;32m 31\u001b[0m MultiOptimizer,\n\u001b[0;32m 32\u001b[0m )\n\u001b[0;32m 33\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow_addons\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01moptimizers\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlamb\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m LAMB\n\u001b[0;32m 34\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow_addons\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01moptimizers\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlazy_adam\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m LazyAdam\n",
"File \u001b[1;32mc:\\Users\\aneta\\anaconda3\\envs\\another_try\\lib\\site-packages\\tensorflow_addons\\optimizers\\discriminative_layer_training.py:32\u001b[0m\n\u001b[0;32m 30\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 31\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mkeras\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m backend\n\u001b[1;32m---> 32\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mkeras\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mutils\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m tf_utils\n\u001b[0;32m 35\u001b[0m \u001b[38;5;129m@tf\u001b[39m\u001b[38;5;241m.\u001b[39mkeras\u001b[38;5;241m.\u001b[39mutils\u001b[38;5;241m.\u001b[39mregister_keras_serializable(package\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mAddons\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 36\u001b[0m \u001b[38;5;28;01mclass\u001b[39;00m \u001b[38;5;21;01mMultiOptimizer\u001b[39;00m(KerasLegacyOptimizer):\n\u001b[0;32m 37\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Multi Optimizer Wrapper for Discriminative Layer Training.\u001b[39;00m\n\u001b[0;32m 38\u001b[0m \n\u001b[0;32m 39\u001b[0m \u001b[38;5;124;03m Creates a wrapper around a set of instantiated optimizer layer pairs.\u001b[39;00m\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 85\u001b[0m \u001b[38;5;124;03m would with any other optimizer.\u001b[39;00m\n\u001b[0;32m 86\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n",
"\u001b[1;31mImportError\u001b[0m: cannot import name 'tf_utils' from 'keras.utils' (c:\\Users\\aneta\\anaconda3\\envs\\another_try\\lib\\site-packages\\keras\\utils\\__init__.py)"
]
}
],
"source": [
"import onnx_tf"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting onnx-tf\n",
" Using cached onnx_tf-1.10.0-py3-none-any.whl (226 kB)\n",
"Requirement already satisfied: onnx>=1.10.2 in c:\\users\\aneta\\anaconda3\\envs\\another_try\\lib\\site-packages (from onnx-tf) (1.13.1)\n",
"Requirement already satisfied: PyYAML in c:\\users\\aneta\\anaconda3\\envs\\another_try\\lib\\site-packages (from onnx-tf) (6.0.1)\n",
"Collecting tensorflow-addons (from onnx-tf)\n",
" Downloading tensorflow_addons-0.21.0-cp38-cp38-win_amd64.whl.metadata (1.9 kB)\n",
"Requirement already satisfied: numpy>=1.16.6 in c:\\users\\aneta\\anaconda3\\envs\\another_try\\lib\\site-packages (from onnx>=1.10.2->onnx-tf) (1.19.5)\n",
"Requirement already satisfied: protobuf<4,>=3.20.2 in c:\\users\\aneta\\anaconda3\\envs\\another_try\\lib\\site-packages (from onnx>=1.10.2->onnx-tf) (3.20.3)\n",
"Requirement already satisfied: typing-extensions>=3.6.2.1 in c:\\users\\aneta\\anaconda3\\envs\\another_try\\lib\\site-packages (from onnx>=1.10.2->onnx-tf) (4.7.1)\n",
"Collecting typeguard<3.0.0,>=2.7 (from tensorflow-addons->onnx-tf)\n",
" Using cached typeguard-2.13.3-py3-none-any.whl (17 kB)\n",
"Requirement already satisfied: packaging in c:\\users\\aneta\\anaconda3\\envs\\another_try\\lib\\site-packages (from tensorflow-addons->onnx-tf) (23.1)\n",
"Downloading tensorflow_addons-0.21.0-cp38-cp38-win_amd64.whl (729 kB)\n",
" ---------------------------------------- 0.0/729.9 kB ? eta -:--:--\n",
" --------------------------------------- 10.2/729.9 kB ? eta -:--:--\n",
" ------ --------------------------------- 112.6/729.9 kB 1.3 MB/s eta 0:00:01\n",
" ----------------------------- ---------- 532.5/729.9 kB 4.2 MB/s eta 0:00:01\n",
" ---------------------------------------- 729.9/729.9 kB 4.2 MB/s eta 0:00:00\n",
"Installing collected packages: typeguard, tensorflow-addons, onnx-tf\n",
"Successfully installed onnx-tf-1.10.0 tensorflow-addons-0.21.0 typeguard-2.13.3\n"
]
}
],
"source": [
"#!pip install onnx-tf"
]
}
],
"metadata": {