first commit
This commit is contained in:
commit
1604b62d2c
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|
|||
# Miscellaneous
|
||||
*.class
|
||||
*.log
|
||||
*.pyc
|
||||
*.swp
|
||||
.DS_Store
|
||||
.atom/
|
||||
.build/
|
||||
.buildlog/
|
||||
.history
|
||||
.svn/
|
||||
.swiftpm/
|
||||
migrate_working_dir/
|
||||
|
||||
# IntelliJ related
|
||||
*.iml
|
||||
*.ipr
|
||||
*.iws
|
||||
.idea/
|
||||
|
||||
# The .vscode folder contains launch configuration and tasks you configure in
|
||||
# VS Code which you may wish to be included in version control, so this line
|
||||
# is commented out by default.
|
||||
#.vscode/
|
||||
|
||||
# Flutter/Dart/Pub related
|
||||
**/doc/api/
|
||||
**/ios/Flutter/.last_build_id
|
||||
.dart_tool/
|
||||
.flutter-plugins
|
||||
.flutter-plugins-dependencies
|
||||
.pub-cache/
|
||||
.pub/
|
||||
/build/
|
||||
|
||||
# Symbolication related
|
||||
app.*.symbols
|
||||
|
||||
# Obfuscation related
|
||||
app.*.map.json
|
||||
|
||||
# Android Studio will place build artifacts here
|
||||
/android/app/debug
|
||||
/android/app/profile
|
||||
/android/app/release
|
||||
|
|
@ -0,0 +1,45 @@
|
|||
# This file tracks properties of this Flutter project.
|
||||
# Used by Flutter tool to assess capabilities and perform upgrades etc.
|
||||
#
|
||||
# This file should be version controlled and should not be manually edited.
|
||||
|
||||
version:
|
||||
revision: "d8a9f9a52e5af486f80d932e838ee93861ffd863"
|
||||
channel: "stable"
|
||||
|
||||
project_type: app
|
||||
|
||||
# Tracks metadata for the flutter migrate command
|
||||
migration:
|
||||
platforms:
|
||||
- platform: root
|
||||
create_revision: d8a9f9a52e5af486f80d932e838ee93861ffd863
|
||||
base_revision: d8a9f9a52e5af486f80d932e838ee93861ffd863
|
||||
- platform: android
|
||||
create_revision: d8a9f9a52e5af486f80d932e838ee93861ffd863
|
||||
base_revision: d8a9f9a52e5af486f80d932e838ee93861ffd863
|
||||
- platform: ios
|
||||
create_revision: d8a9f9a52e5af486f80d932e838ee93861ffd863
|
||||
base_revision: d8a9f9a52e5af486f80d932e838ee93861ffd863
|
||||
- platform: linux
|
||||
create_revision: d8a9f9a52e5af486f80d932e838ee93861ffd863
|
||||
base_revision: d8a9f9a52e5af486f80d932e838ee93861ffd863
|
||||
- platform: macos
|
||||
create_revision: d8a9f9a52e5af486f80d932e838ee93861ffd863
|
||||
base_revision: d8a9f9a52e5af486f80d932e838ee93861ffd863
|
||||
- platform: web
|
||||
create_revision: d8a9f9a52e5af486f80d932e838ee93861ffd863
|
||||
base_revision: d8a9f9a52e5af486f80d932e838ee93861ffd863
|
||||
- platform: windows
|
||||
create_revision: d8a9f9a52e5af486f80d932e838ee93861ffd863
|
||||
base_revision: d8a9f9a52e5af486f80d932e838ee93861ffd863
|
||||
|
||||
# User provided section
|
||||
|
||||
# List of Local paths (relative to this file) that should be
|
||||
# ignored by the migrate tool.
|
||||
#
|
||||
# Files that are not part of the templates will be ignored by default.
|
||||
unmanaged_files:
|
||||
- 'lib/main.dart'
|
||||
- 'ios/Runner.xcodeproj/project.pbxproj'
|
||||
|
|
@ -0,0 +1,16 @@
|
|||
# classifragise
|
||||
|
||||
A new Flutter project.
|
||||
|
||||
## Getting Started
|
||||
|
||||
This project is a starting point for a Flutter application.
|
||||
|
||||
A few resources to get you started if this is your first Flutter project:
|
||||
|
||||
- [Lab: Write your first Flutter app](https://docs.flutter.dev/get-started/codelab)
|
||||
- [Cookbook: Useful Flutter samples](https://docs.flutter.dev/cookbook)
|
||||
|
||||
For help getting started with Flutter development, view the
|
||||
[online documentation](https://docs.flutter.dev/), which offers tutorials,
|
||||
samples, guidance on mobile development, and a full API reference.
|
||||
|
|
@ -0,0 +1,28 @@
|
|||
# This file configures the analyzer, which statically analyzes Dart code to
|
||||
# check for errors, warnings, and lints.
|
||||
#
|
||||
# The issues identified by the analyzer are surfaced in the UI of Dart-enabled
|
||||
# IDEs (https://dart.dev/tools#ides-and-editors). The analyzer can also be
|
||||
# invoked from the command line by running `flutter analyze`.
|
||||
|
||||
# The following line activates a set of recommended lints for Flutter apps,
|
||||
# packages, and plugins designed to encourage good coding practices.
|
||||
include: package:flutter_lints/flutter.yaml
|
||||
|
||||
linter:
|
||||
# The lint rules applied to this project can be customized in the
|
||||
# section below to disable rules from the `package:flutter_lints/flutter.yaml`
|
||||
# included above or to enable additional rules. A list of all available lints
|
||||
# and their documentation is published at https://dart.dev/lints.
|
||||
#
|
||||
# Instead of disabling a lint rule for the entire project in the
|
||||
# section below, it can also be suppressed for a single line of code
|
||||
# or a specific dart file by using the `// ignore: name_of_lint` and
|
||||
# `// ignore_for_file: name_of_lint` syntax on the line or in the file
|
||||
# producing the lint.
|
||||
rules:
|
||||
# avoid_print: false # Uncomment to disable the `avoid_print` rule
|
||||
# prefer_single_quotes: true # Uncomment to enable the `prefer_single_quotes` rule
|
||||
|
||||
# Additional information about this file can be found at
|
||||
# https://dart.dev/guides/language/analysis-options
|
||||
|
|
@ -0,0 +1,13 @@
|
|||
gradle-wrapper.jar
|
||||
/.gradle
|
||||
/captures/
|
||||
/gradlew
|
||||
/gradlew.bat
|
||||
/local.properties
|
||||
GeneratedPluginRegistrant.java
|
||||
|
||||
# Remember to never publicly share your keystore.
|
||||
# See https://flutter.dev/to/reference-keystore
|
||||
key.properties
|
||||
**/*.keystore
|
||||
**/*.jks
|
||||
|
|
@ -0,0 +1,44 @@
|
|||
plugins {
|
||||
id "com.android.application"
|
||||
id "kotlin-android"
|
||||
// The Flutter Gradle Plugin must be applied after the Android and Kotlin Gradle plugins.
|
||||
id "dev.flutter.flutter-gradle-plugin"
|
||||
}
|
||||
|
||||
android {
|
||||
namespace = "com.example.classifragise"
|
||||
compileSdk = flutter.compileSdkVersion
|
||||
ndkVersion = flutter.ndkVersion
|
||||
|
||||
compileOptions {
|
||||
sourceCompatibility = JavaVersion.VERSION_1_8
|
||||
targetCompatibility = JavaVersion.VERSION_1_8
|
||||
}
|
||||
|
||||
kotlinOptions {
|
||||
jvmTarget = JavaVersion.VERSION_1_8
|
||||
}
|
||||
|
||||
defaultConfig {
|
||||
// TODO: Specify your own unique Application ID (https://developer.android.com/studio/build/application-id.html).
|
||||
applicationId = "com.example.classifragise"
|
||||
// You can update the following values to match your application needs.
|
||||
// For more information, see: https://flutter.dev/to/review-gradle-config.
|
||||
minSdk = flutter.minSdkVersion
|
||||
targetSdk = flutter.targetSdkVersion
|
||||
versionCode = flutter.versionCode
|
||||
versionName = flutter.versionName
|
||||
}
|
||||
|
||||
buildTypes {
|
||||
release {
|
||||
// TODO: Add your own signing config for the release build.
|
||||
// Signing with the debug keys for now, so `flutter run --release` works.
|
||||
signingConfig = signingConfigs.debug
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
flutter {
|
||||
source = "../.."
|
||||
}
|
||||
|
|
@ -0,0 +1,7 @@
|
|||
<manifest xmlns:android="http://schemas.android.com/apk/res/android">
|
||||
<!-- The INTERNET permission is required for development. Specifically,
|
||||
the Flutter tool needs it to communicate with the running application
|
||||
to allow setting breakpoints, to provide hot reload, etc.
|
||||
-->
|
||||
<uses-permission android:name="android.permission.INTERNET"/>
|
||||
</manifest>
|
||||
|
|
@ -0,0 +1,62 @@
|
|||
<manifest xmlns:android="http://schemas.android.com/apk/res/android">
|
||||
<uses-permission android:name="android.permission.CAMERA"/>
|
||||
<uses-permission android:name="android.permission.READ_MEDIA_IMAGES"/>
|
||||
<uses-permission android:name="android.permission.INTERNET"/>
|
||||
<uses-permission android:name="android.permission.ACCESS_NETWORK_STATE"/>
|
||||
<uses-permission android:name="android.permission.READ_EXTERNAL_STORAGE" android:maxSdkVersion="32"/>
|
||||
<uses-permission android:name="android.permission.WRITE_EXTERNAL_STORAGE"/>
|
||||
|
||||
<application
|
||||
android:label="classifragise"
|
||||
android:name="${applicationName}"
|
||||
android:icon="@mipmap/ic_launcher"
|
||||
android:requestLegacyExternalStorage="true"
|
||||
android:usesCleartextTraffic="true">
|
||||
|
||||
<activity
|
||||
android:name=".MainActivity"
|
||||
android:exported="true"
|
||||
android:launchMode="singleTop"
|
||||
android:taskAffinity=""
|
||||
android:theme="@style/LaunchTheme"
|
||||
android:configChanges="orientation|keyboardHidden|keyboard|screenSize|smallestScreenSize|locale|layoutDirection|fontScale|screenLayout|density|uiMode"
|
||||
android:hardwareAccelerated="true"
|
||||
android:windowSoftInputMode="adjustResize">
|
||||
|
||||
<meta-data
|
||||
android:name="io.flutter.embedding.android.NormalTheme"
|
||||
android:resource="@style/NormalTheme"/>
|
||||
|
||||
<intent-filter>
|
||||
<action android:name="android.intent.action.MAIN"/>
|
||||
<category android:name="android.intent.category.LAUNCHER"/>
|
||||
</intent-filter>
|
||||
</activity>
|
||||
|
||||
<activity
|
||||
android:name="com.yalantis.ucrop.UCropActivity"
|
||||
android:screenOrientation="portrait"
|
||||
android:theme="@style/Theme.AppCompat.Light.NoActionBar"/>
|
||||
|
||||
<provider
|
||||
android:name="androidx.core.content.FileProvider"
|
||||
android:authorities="${applicationId}.fileprovider"
|
||||
android:grantUriPermissions="true"
|
||||
android:exported="false">
|
||||
<meta-data
|
||||
android:name="android.support.FILE_PROVIDER_PATHS"
|
||||
android:resource="@xml/file_paths"/>
|
||||
</provider>
|
||||
|
||||
<meta-data
|
||||
android:name="flutterEmbedding"
|
||||
android:value="2"/>
|
||||
</application>
|
||||
|
||||
<queries>
|
||||
<intent>
|
||||
<action android:name="android.intent.action.PROCESS_TEXT"/>
|
||||
<data android:mimeType="text/plain"/>
|
||||
</intent>
|
||||
</queries>
|
||||
</manifest>
|
||||
|
|
@ -0,0 +1,5 @@
|
|||
package com.example.classifragise
|
||||
|
||||
import io.flutter.embedding.android.FlutterActivity
|
||||
|
||||
class MainActivity: FlutterActivity()
|
||||
|
|
@ -0,0 +1,12 @@
|
|||
<?xml version="1.0" encoding="utf-8"?>
|
||||
<!-- Modify this file to customize your launch splash screen -->
|
||||
<layer-list xmlns:android="http://schemas.android.com/apk/res/android">
|
||||
<item android:drawable="?android:colorBackground" />
|
||||
|
||||
<!-- You can insert your own image assets here -->
|
||||
<!-- <item>
|
||||
<bitmap
|
||||
android:gravity="center"
|
||||
android:src="@mipmap/launch_image" />
|
||||
</item> -->
|
||||
</layer-list>
|
||||
|
|
@ -0,0 +1,12 @@
|
|||
<?xml version="1.0" encoding="utf-8"?>
|
||||
<!-- Modify this file to customize your launch splash screen -->
|
||||
<layer-list xmlns:android="http://schemas.android.com/apk/res/android">
|
||||
<item android:drawable="@android:color/white" />
|
||||
|
||||
<!-- You can insert your own image assets here -->
|
||||
<!-- <item>
|
||||
<bitmap
|
||||
android:gravity="center"
|
||||
android:src="@mipmap/launch_image" />
|
||||
</item> -->
|
||||
</layer-list>
|
||||
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|
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|
|
@ -0,0 +1,18 @@
|
|||
<?xml version="1.0" encoding="utf-8"?>
|
||||
<resources>
|
||||
<!-- Theme applied to the Android Window while the process is starting when the OS's Dark Mode setting is on -->
|
||||
<style name="LaunchTheme" parent="@android:style/Theme.Black.NoTitleBar">
|
||||
<!-- Show a splash screen on the activity. Automatically removed when
|
||||
the Flutter engine draws its first frame -->
|
||||
<item name="android:windowBackground">@drawable/launch_background</item>
|
||||
</style>
|
||||
<!-- Theme applied to the Android Window as soon as the process has started.
|
||||
This theme determines the color of the Android Window while your
|
||||
Flutter UI initializes, as well as behind your Flutter UI while its
|
||||
running.
|
||||
|
||||
This Theme is only used starting with V2 of Flutter's Android embedding. -->
|
||||
<style name="NormalTheme" parent="@android:style/Theme.Black.NoTitleBar">
|
||||
<item name="android:windowBackground">?android:colorBackground</item>
|
||||
</style>
|
||||
</resources>
|
||||
|
|
@ -0,0 +1,18 @@
|
|||
<?xml version="1.0" encoding="utf-8"?>
|
||||
<resources>
|
||||
<!-- Theme applied to the Android Window while the process is starting when the OS's Dark Mode setting is off -->
|
||||
<style name="LaunchTheme" parent="@android:style/Theme.Light.NoTitleBar">
|
||||
<!-- Show a splash screen on the activity. Automatically removed when
|
||||
the Flutter engine draws its first frame -->
|
||||
<item name="android:windowBackground">@drawable/launch_background</item>
|
||||
</style>
|
||||
<!-- Theme applied to the Android Window as soon as the process has started.
|
||||
This theme determines the color of the Android Window while your
|
||||
Flutter UI initializes, as well as behind your Flutter UI while its
|
||||
running.
|
||||
|
||||
This Theme is only used starting with V2 of Flutter's Android embedding. -->
|
||||
<style name="NormalTheme" parent="@android:style/Theme.Light.NoTitleBar">
|
||||
<item name="android:windowBackground">?android:colorBackground</item>
|
||||
</style>
|
||||
</resources>
|
||||
|
|
@ -0,0 +1,3 @@
|
|||
<paths>
|
||||
<external-files-path name="images" path="Pictures/"/>
|
||||
</paths>
|
||||
|
|
@ -0,0 +1,7 @@
|
|||
<manifest xmlns:android="http://schemas.android.com/apk/res/android">
|
||||
<!-- The INTERNET permission is required for development. Specifically,
|
||||
the Flutter tool needs it to communicate with the running application
|
||||
to allow setting breakpoints, to provide hot reload, etc.
|
||||
-->
|
||||
<uses-permission android:name="android.permission.INTERNET"/>
|
||||
</manifest>
|
||||
|
|
@ -0,0 +1,19 @@
|
|||
allprojects {
|
||||
repositories {
|
||||
google()
|
||||
mavenCentral()
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
rootProject.buildDir = "../build"
|
||||
subprojects {
|
||||
project.buildDir = "${rootProject.buildDir}/${project.name}"
|
||||
}
|
||||
subprojects {
|
||||
project.evaluationDependsOn(":app")
|
||||
}
|
||||
|
||||
tasks.register("clean", Delete) {
|
||||
delete rootProject.buildDir
|
||||
}
|
||||
|
|
@ -0,0 +1,3 @@
|
|||
org.gradle.jvmargs=-Xmx4G -XX:MaxMetaspaceSize=2G -XX:+HeapDumpOnOutOfMemoryError
|
||||
android.useAndroidX=true
|
||||
android.enableJetifier=true
|
||||
|
|
@ -0,0 +1,5 @@
|
|||
distributionBase=GRADLE_USER_HOME
|
||||
distributionPath=wrapper/dists
|
||||
zipStoreBase=GRADLE_USER_HOME
|
||||
zipStorePath=wrapper/dists
|
||||
distributionUrl=https\://services.gradle.org/distributions/gradle-8.3-all.zip
|
||||
|
|
@ -0,0 +1,25 @@
|
|||
pluginManagement {
|
||||
def flutterSdkPath = {
|
||||
def properties = new Properties()
|
||||
file("local.properties").withInputStream { properties.load(it) }
|
||||
def flutterSdkPath = properties.getProperty("flutter.sdk")
|
||||
assert flutterSdkPath != null, "flutter.sdk not set in local.properties"
|
||||
return flutterSdkPath
|
||||
}()
|
||||
|
||||
includeBuild("$flutterSdkPath/packages/flutter_tools/gradle")
|
||||
|
||||
repositories {
|
||||
google()
|
||||
mavenCentral()
|
||||
gradlePluginPortal()
|
||||
}
|
||||
}
|
||||
|
||||
plugins {
|
||||
id "dev.flutter.flutter-plugin-loader" version "1.0.0"
|
||||
id "com.android.application" version "8.2.1" apply false
|
||||
id "org.jetbrains.kotlin.android" version "1.8.22" apply false
|
||||
}
|
||||
|
||||
include ":app"
|
||||
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|
|
@ -0,0 +1,151 @@
|
|||
import os
|
||||
import cv2
|
||||
import numpy as np
|
||||
import joblib
|
||||
import skimage.feature as ft
|
||||
from flask import Flask, request, jsonify
|
||||
from flask_cors import CORS
|
||||
from rembg import remove
|
||||
import matplotlib.pyplot as plt
|
||||
|
||||
# Inisialisasi Flask
|
||||
app = Flask(__name__)
|
||||
CORS(app) # Mengizinkan akses dari Flutter
|
||||
|
||||
# Path model dan scaler
|
||||
model_path = r'C:\Strawberry\classifragise\flask.backend\strawberry_freshness_knn.pkl'
|
||||
scaler_path = r'C:\Strawberry\classifragise\flask.backend\scaler_knn.pkl'
|
||||
|
||||
# Load model & scaler
|
||||
knn_model = joblib.load(model_path)
|
||||
scaler = joblib.load(scaler_path)
|
||||
|
||||
# Folder untuk menyimpan gambar sementara
|
||||
UPLOAD_FOLDER = "uploads"
|
||||
os.makedirs(UPLOAD_FOLDER, exist_ok=True)
|
||||
|
||||
def remove_background(input_path, output_path):
|
||||
"""Menghapus latar belakang gambar"""
|
||||
try:
|
||||
with open(input_path, "rb") as input_file:
|
||||
img_data = input_file.read()
|
||||
output_data = remove(img_data)
|
||||
|
||||
with open(output_path, "wb") as output_file:
|
||||
output_file.write(output_data)
|
||||
|
||||
print(f"✅ Background dihapus untuk {input_path}")
|
||||
except Exception as e:
|
||||
print(f"❌ Gagal menghapus background: {e}")
|
||||
|
||||
def refine_segmentation(image_path):
|
||||
"""Refine hasil segmentasi setelah penghapusan background"""
|
||||
img = cv2.imread(image_path, cv2.IMREAD_UNCHANGED)
|
||||
|
||||
if img is None:
|
||||
print("❌ Gagal membaca gambar untuk refining segmentation")
|
||||
return
|
||||
|
||||
# Konversi ke grayscale
|
||||
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
|
||||
|
||||
# Coba threshold lebih lembut
|
||||
_, binary = cv2.threshold(gray, 30, 255, cv2.THRESH_BINARY)
|
||||
|
||||
# Operasi morfologi untuk menghilangkan noise
|
||||
kernel = np.ones((2,2), np.uint8)
|
||||
binary = cv2.morphologyEx(binary, cv2.MORPH_CLOSE, kernel)
|
||||
|
||||
# Simpan hasil refinemen
|
||||
cv2.imwrite(image_path, binary)
|
||||
print("✅ Segmentasi background diperbaiki!")
|
||||
|
||||
def extract_features(image_path):
|
||||
"""Ekstraksi fitur RGB, GLCM, dan Laplacian dari gambar"""
|
||||
img = cv2.imread(image_path)
|
||||
|
||||
if img is None:
|
||||
raise ValueError(f"Gambar tidak dapat dibaca: {image_path}")
|
||||
|
||||
# Konversi ke grayscale
|
||||
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
|
||||
|
||||
# Rata-rata nilai RGB
|
||||
mean_r = np.mean(img[:, :, 2])
|
||||
mean_g = np.mean(img[:, :, 1])
|
||||
mean_b = np.mean(img[:, :, 0])
|
||||
|
||||
# GLCM features
|
||||
glcm = ft.graycomatrix(gray, distances=[1], angles=[0], levels=256, symmetric=True, normed=True)
|
||||
contrast = ft.graycoprops(glcm, 'contrast')[0, 0]
|
||||
homogeneity = ft.graycoprops(glcm, 'homogeneity')[0, 0]
|
||||
energy = ft.graycoprops(glcm, 'energy')[0, 0]
|
||||
correlation = ft.graycoprops(glcm, 'correlation')[0, 0]
|
||||
|
||||
# Laplacian features
|
||||
laplacian = cv2.Laplacian(gray, cv2.CV_64F)
|
||||
mean_laplacian = np.mean(laplacian)
|
||||
var_laplacian = np.var(laplacian)
|
||||
|
||||
return np.array([mean_r, mean_g, mean_b, contrast, homogeneity, energy, correlation, mean_laplacian, var_laplacian]).reshape(1, -1)
|
||||
|
||||
@app.route("/")
|
||||
def home():
|
||||
return jsonify({"message": "API Flask untuk Klasifikasi Stroberi Aktif!"})
|
||||
|
||||
@app.route("/predict", methods=["POST"])
|
||||
def predict():
|
||||
if knn_model is None or scaler is None:
|
||||
return jsonify({"error": "Model atau Scaler belum dimuat"}), 500
|
||||
|
||||
if "file" not in request.files:
|
||||
return jsonify({"error": "Tidak ada file gambar yang dikirim"}), 400
|
||||
|
||||
file = request.files["file"]
|
||||
|
||||
if file.filename == "":
|
||||
return jsonify({"error": "Nama file kosong"}), 400
|
||||
|
||||
# Simpan gambar sementara
|
||||
file_path = os.path.join(UPLOAD_FOLDER, file.filename)
|
||||
file.save(file_path)
|
||||
|
||||
# Path hasil setelah background dihapus
|
||||
file_nobg = file_path.replace(".jpg", "_nobg.png")
|
||||
|
||||
# Hapus background & refining
|
||||
remove_background(file_path, file_nobg)
|
||||
refine_segmentation(file_nobg)
|
||||
|
||||
# **Tambahkan visualisasi hasil penghapusan background**
|
||||
try:
|
||||
img = cv2.imread(file_nobg)
|
||||
if img is not None:
|
||||
plt.imshow(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))
|
||||
plt.axis("off")
|
||||
plt.title("Cek Hasil Segmen Sebelum Ekstraksi Fitur")
|
||||
plt.show()
|
||||
else:
|
||||
print("❌ Gambar hasil penghapusan background tidak ditemukan!")
|
||||
except Exception as e:
|
||||
print(f"❌ Gagal menampilkan gambar: {e}")
|
||||
|
||||
# Ekstraksi fitur
|
||||
try:
|
||||
features = extract_features(file_nobg)
|
||||
print(f"✅ Fitur berhasil diekstraksi: {features}")
|
||||
|
||||
# Normalisasi fitur
|
||||
features_scaled = scaler.transform(features)
|
||||
print(f"✅ Fitur setelah normalisasi: {features_scaled}")
|
||||
|
||||
# Prediksi
|
||||
prediction = knn_model.predict(features_scaled)
|
||||
result = "Segar ✅" if prediction[0] == 1 else "Tidak Segar ❌"
|
||||
return jsonify({"prediction": result})
|
||||
|
||||
except Exception as e:
|
||||
return jsonify({"error": f"Gagal memproses gambar: {str(e)}"}), 500
|
||||
|
||||
if __name__ == "__main__":
|
||||
app.run(host="0.0.0.0", port=5000, debug=True)
|
||||
|
|
@ -0,0 +1,498 @@
|
|||
Mean_R,Mean_G,Mean_B,Contrast,Homogeneity,Energy,Correlation,Mean_Laplacian,Var_Laplacian,Label
|
||||
69.24825012499107,69.24825012499107,69.24825012499107,194.17001495759033,0.45862106998709107,0.3506279375090816,0.9764662690756172,14.81451324905364,741.6261159913961,2
|
||||
61.804983329364134,61.804983329364134,61.804983329364134,159.89230784546012,0.5533107897646529,0.48015677528723166,0.9837086633753745,12.622995554497102,608.4845498927332,2
|
||||
65.46637077449998,65.46637077449998,65.46637077449998,66.04433797394321,0.5540432403940522,0.4337307233033108,0.9924673204871798,8.129519935730594,304.29166612877117,2
|
||||
72.15406305518582,72.15406305518582,72.15406305518582,36.267775481218386,0.5062850444587442,0.3329132143706329,0.994782856162621,6.912647237367521,181.2778404399696,2
|
||||
79.28580173098884,79.28580173098884,79.28580173098884,17.698631545838968,0.5820043433762943,0.31569187561605294,0.9977124402675919,3.9287300344870766,69.77960198414453,2
|
||||
52.69734086332195,52.69734086332195,52.69734086332195,44.640960952013735,0.5270495526078843,0.2965557894509332,0.989549892994537,7.958778565799842,257.9506724452737,2
|
||||
59.01002795962902,59.01002795962902,59.01002795962902,33.792328165092535,0.558580847629015,0.3835675518020916,0.9935971461379189,6.552945990180032,184.84195990180032,2
|
||||
60.17952941991822,60.17952941991822,60.17952941991822,11.527314211212522,0.6056899323718182,0.36265630578434815,0.9976972376751643,3.801058978446185,62.12004158292328,2
|
||||
57.83625284625285,57.83625284625285,57.83625284625285,21.966946062695683,0.5757923286567519,0.38417679771063357,0.9959478563424443,5.348044748044748,124.54669042669043,2
|
||||
63.57667422074359,63.57667422074359,63.57667422074359,23.160815954779,0.5472652051950967,0.259463374594052,0.9943442303672653,4.563379793286186,87.68117035067998,2
|
||||
63.376637611566366,63.376637611566366,63.376637611566366,97.08179308614089,0.4373643934760514,0.30791502676336047,0.9817810438790224,11.623506446056684,432.6452373982784,2
|
||||
42.90040176703092,42.90040176703092,42.90040176703092,30.671775038047493,0.5391210577770176,0.32889055679597934,0.9882049468599974,6.030022785398744,151.77174982540055,2
|
||||
59.607649167193756,59.607649167193756,59.607649167193756,16.882147499198194,0.5737767784473654,0.3493609345999877,0.9963971548962546,4.6678659076533835,89.89170904408613,2
|
||||
40.74000149521531,40.74000149521531,40.74000149521531,29.511655711886156,0.5020194196816912,0.21010938552687858,0.983903590998612,6.550334180622009,165.4041214944796,2
|
||||
50.83894908160893,50.83894908160893,50.83894908160893,29.474508769820797,0.5560495213032581,0.37098408008147726,0.9923350756229949,6.049605518096567,158.79678834310164,2
|
||||
74.74709804273198,74.74709804273198,74.74709804273198,13.136269068068193,0.5329022113566405,0.21041746239298073,0.9972988631526012,4.151719014192755,59.278861899879786,2
|
||||
49.889819162436545,49.889819162436545,49.889819162436545,41.917695342528425,0.5285014077911433,0.3880952900889491,0.9900656529250483,7.028094331641286,195.95706428661663,2
|
||||
70.8293252890775,70.8293252890775,70.8293252890775,16.745771797722902,0.6175254324029896,0.39108932346990194,0.9979697457062081,3.5045438447152097,66.98263981658103,2
|
||||
78.35525246346339,78.35525246346339,78.35525246346339,96.48566770355819,0.4092015335354535,0.2701611469940676,0.9847490372996424,11.946427445614669,485.62958753620455,2
|
||||
59.362039141414144,59.362039141414144,59.362039141414144,42.741518598772124,0.5257220462888837,0.29243327565231897,0.9921651843547372,7.197513528138528,209.0363158365822,2
|
||||
61.19825272042567,61.19825272042567,61.19825272042567,47.9757154559628,0.509792099660762,0.33900805607499546,0.991820006898833,7.999608053931779,238.87239673701248,2
|
||||
80.45138256430666,80.45138256430666,80.45138256430666,39.747382063443986,0.5210934436439223,0.32987613564800317,0.9946649887577002,6.202798420363837,148.26320185096125,2
|
||||
63.441372227656224,63.441372227656224,63.441372227656224,33.4494502365516,0.5218670910085904,0.3052126474957635,0.9940544354356587,5.747965166955143,138.6368292008682,2
|
||||
64.41165837161817,64.41165837161817,64.41165837161817,23.48085034479765,0.5490119515232006,0.32454810571113846,0.9954491730426279,5.370994555045091,124.0000757187911,2
|
||||
70.43501532887839,70.43501532887839,70.43501532887839,34.16549794168953,0.5082000054480149,0.2467333546002706,0.9937204271072287,6.274628641849876,167.3561628048526,2
|
||||
49.472466610312765,49.472466610312765,49.472466610312765,34.48629915219341,0.5459855537338847,0.3891455636261575,0.9913862025202953,6.807619047619047,189.48637925403526,2
|
||||
48.01703985669503,48.01703985669503,48.01703985669503,12.62593965298223,0.6310780640398588,0.3274085817326631,0.9957003555946067,3.231038961038961,48.37258247125044,2
|
||||
52.326342857142855,52.326342857142855,52.326342857142855,44.87541317200605,0.5294373561997354,0.3861072143522248,0.9902631139253325,7.960056043956044,247.8915307644379,2
|
||||
47.087264996907855,47.087264996907855,47.087264996907855,27.58053137068252,0.5707611511866095,0.346543969187417,0.9910408794507831,5.28382807668522,124.46045454484258,2
|
||||
63.03136288685946,63.03136288685946,63.03136288685946,35.87275911964055,0.5333654572952943,0.3324529126247942,0.9941666996980918,6.574810375443937,175.92107115670524,2
|
||||
47.66276207046542,47.66276207046542,47.66276207046542,24.28392467833033,0.6102793237127739,0.4201199038425965,0.9954808611824797,5.355490793098449,139.47427576949968,2
|
||||
41.01694598155468,41.01694598155468,41.01694598155468,6.756260872202903,0.6974163529075493,0.5068699897276037,0.9983342726752666,2.3477101449275364,26.345122529644268,2
|
||||
75.36178901292227,75.36178901292227,75.36178901292227,24.860634864753855,0.5465259660060928,0.3677747120926451,0.9969666735090553,5.711428990303055,126.90124615159067,2
|
||||
55.95859630935102,55.95859630935102,55.95859630935102,23.1490169800948,0.5864329721018431,0.41779979842336007,0.9960630042308556,5.247176031515655,122.08952228900266,2
|
||||
55.04656668863986,55.04656668863986,55.04656668863986,16.300843544793622,0.5606326348767169,0.3303360465802619,0.9957213007214797,4.49383560389658,82.10744799127764,2
|
||||
84.39108639936025,84.39108639936025,84.39108639936025,5.605457333573877,0.6356445021807677,0.28448092990592744,0.9992189054789731,2.5188566390707856,23.979886469980695,2
|
||||
69.48291276313236,69.48291276313236,69.48291276313236,48.74381260537826,0.535615478134044,0.3753170820837319,0.9935270542698788,7.096235663079677,210.3968725939751,2
|
||||
52.60312790819196,52.60312790819196,52.60312790819196,45.117518877134266,0.5673560663608197,0.44079844543616836,0.992331901194806,6.975215983796239,208.61701258080686,2
|
||||
44.4624634608103,44.4624634608103,44.4624634608103,18.902581285866983,0.6440011182882965,0.4489246870247909,0.9959189461564012,3.9693070806512685,81.31841878076486,2
|
||||
60.559986202818564,60.559986202818564,60.559986202818564,47.38442422328371,0.5025418873788112,0.3537359779482777,0.9914171528037723,7.9710062087316444,230.0816004401641,2
|
||||
57.22068518922456,57.22068518922456,57.22068518922456,3.47955874048998,0.6978318929575077,0.454487909631425,0.9995026385770465,2.0230881230232303,15.833084305813065,2
|
||||
56.26952837353198,56.26952837353198,56.26952837353198,51.683155731522454,0.5372880941917383,0.4211853668799239,0.9916195125187477,7.795921762952884,233.38976025768326,2
|
||||
63.565270446382584,63.565270446382584,63.565270446382584,50.88103919465874,0.47823739404022053,0.2826975989051927,0.9892140077202443,8.046515325928768,250.88800854155951,2
|
||||
58.700365143369176,58.700365143369176,58.700365143369176,38.1009115678294,0.5562297702097033,0.361866185300698,0.992657536856025,6.433790322580645,185.36665769146,2
|
||||
65.42477137172067,65.42477137172067,65.42477137172067,24.68658580245854,0.5557399432365503,0.3447950461423967,0.9959136704408073,5.285036732453453,120.36492491778694,2
|
||||
47.17981535055722,47.17981535055722,47.17981535055722,41.403292587147845,0.5589449602845029,0.4189890477190922,0.9904997351968367,6.933171492541068,209.13256471535286,2
|
||||
69.48168582704187,69.48168582704187,69.48168582704187,1.6017632003847606,0.7184179247304577,0.17255687822177793,0.9995860037274801,1.5068359643102265,5.566271442219275,2
|
||||
54.27651734514279,54.27651734514279,54.27651734514279,64.39156894827744,0.5340055637653159,0.3878481220137922,0.9872834231998154,8.848918412536195,327.2861863388928,2
|
||||
45.67689043478261,45.67689043478261,45.67689043478261,48.692048780487816,0.563008358452465,0.4380912372819437,0.9880999958852015,7.092768695652174,201.09761023345487,2
|
||||
54.79451436067333,54.79451436067333,54.79451436067333,19.20407122721013,0.5587330212590279,0.3235386908596641,0.9950945418782648,4.595870366988774,84.37435041256447,2
|
||||
65.61419729132648,65.61419729132648,65.61419729132648,28.46188867104909,0.5461389338026691,0.34573135420062245,0.995204295297083,5.719129382384017,145.74918451637447,2
|
||||
66.24455405599778,66.24455405599778,66.24455405599778,24.456960249612443,0.5514850668009426,0.3236460764994283,0.995977461543874,4.956405785712532,108.08633593758222,2
|
||||
63.65959563884185,63.65959563884185,63.65959563884185,73.8169650928937,0.48790894803554624,0.3510960386031257,0.987210626737312,9.55302784473432,343.1889638323493,2
|
||||
49.46988936915249,49.46988936915249,49.46988936915249,37.87802312341245,0.5503016866590178,0.404374662105724,0.9907361407078878,7.267685506374131,225.2340064562018,2
|
||||
62.54946269937412,62.54946269937412,62.54946269937412,20.967987598590195,0.5720016590496139,0.36923388597074225,0.9961913206711244,5.429152533817888,130.53744195437108,2
|
||||
50.45851035347062,50.45851035347062,50.45851035347062,29.657242593837985,0.5943928711508549,0.41484580646304636,0.9937325725869767,5.679167734768862,155.71691930843943,2
|
||||
50.399104938271606,50.399104938271606,50.399104938271606,17.00744405378439,0.624751177619474,0.45026579016181034,0.9964180562434074,4.307447768281102,91.66760208773414,2
|
||||
52.34661382367746,52.34661382367746,52.34661382367746,77.88783471721834,0.5355673747481229,0.4151874246866761,0.9864416408743122,8.855862357557417,324.14187250971855,2
|
||||
55.73890770051885,55.73890770051885,55.73890770051885,25.281459795568566,0.5855005629067634,0.39827573025174945,0.9955477843833862,4.40375507632772,87.69204424295377,2
|
||||
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||||
21.627644444444446,21.627644444444446,21.627644444444446,157.20793756967666,0.8183326792740866,0.7971282663044359,0.9708936966474228,8.993022222222223,783.6968888888889,1
|
||||
31.01377777777778,31.01377777777778,31.01377777777778,136.1613154960981,0.7319532487174271,0.6389646048912897,0.9794648758327725,8.866388888888888,673.9029222072838,1
|
||||
47.307766666666666,47.307766666666666,47.307766666666666,166.32240802675588,0.6957249329456503,0.6545048683888549,0.9847900154880116,9.647133333333333,561.1609555555556,1
|
||||
46.65096666666667,46.65096666666667,46.65096666666667,258.7696098104794,0.5818620274077673,0.5334712008096967,0.9648893346460944,13.655088888888889,803.0938666666667,1
|
||||
47.6994,47.6994,47.6994,238.04374581939803,0.5303434623330999,0.4696707980791687,0.9638110413534627,13.666,751.3586888809876,1
|
||||
35.612788888888886,35.612788888888886,35.612788888888886,162.38798216276476,0.64763959487655,0.6043294658626257,0.9724498768607611,11.907022222222222,727.5716,1
|
||||
14.529466666666666,14.529466666666666,14.529466666666666,73.1439464882943,0.8689309208607243,0.8522708963246022,0.9775440698756835,3.7193555555555555,184.4222,1
|
||||
43.76427777777778,43.76427777777778,43.76427777777778,152.23578595317727,0.6492827194203721,0.5192579866375794,0.9806577362660376,10.110188888888889,527.7070315258024,1
|
||||
34.788266666666665,34.788266666666665,34.788266666666665,186.23270903010032,0.7366756012930936,0.7086136811531352,0.9752246173176362,9.90568888888889,660.5634222222222,1
|
||||
13.806244444444445,13.806244444444445,13.806244444444445,93.46972129319956,0.8784265901132952,0.8621261375606578,0.9734543660272047,4.836844444444444,354.4640444444444,1
|
||||
29.61081111111111,29.61081111111111,29.61081111111111,129.0677146042364,0.7500331999662826,0.7201336215219124,0.9800042241146595,10.35828888888889,725.8404222222222,1
|
||||
26.5299,26.5299,26.5299,113.02187290969901,0.7999096658260623,0.7769058307035822,0.9828987468197335,8.2834,575.3432666666666,1
|
||||
50.74512222222222,50.74512222222222,50.74512222222222,157.9451505016722,0.5686841147272628,0.49710473180434017,0.9776098273524422,10.470866666666666,476.37415555555555,1
|
||||
21.526888888888887,21.526888888888887,21.526888888888887,104.73422519509477,0.8045121783625342,0.7800370743413957,0.9777865229758398,6.845844444444444,431.3015111111111,1
|
||||
38.38422222222222,38.38422222222222,38.38422222222222,55.918573021181714,0.6880636280358964,0.44665052000907907,0.9923547810482349,4.026955555555555,95.31550302024692,1
|
||||
45.598444444444446,45.598444444444446,45.598444444444446,267.63043478260875,0.6203225924677522,0.5751916457972063,0.9687755453231778,14.544688888888889,961.5354,1
|
||||
29.25142222222222,29.25142222222222,29.25142222222222,160.41429208472692,0.7261775565740193,0.688324713561684,0.9699746171956559,8.6206,496.4870666666667,1
|
||||
47.00236666666667,47.00236666666667,47.00236666666667,191.21641025641026,0.6045368300475492,0.5317932230507115,0.974504546479607,10.932522222222222,628.1628748117284,1
|
||||
37.58621111111111,37.58621111111111,37.58621111111111,305.54682274247494,0.7232422562775548,0.6985155483828972,0.9644339018113124,14.429588888888889,1240.282144429506,1
|
||||
31.199055555555557,31.199055555555557,31.199055555555557,122.09901895206242,0.6936399340171698,0.6351583257941604,0.9757083284091752,9.493555555555556,591.4134666666666,1
|
||||
28.062033333333332,28.062033333333332,28.062033333333332,118.37656633221852,0.6775288415076898,0.6197758601538275,0.9684471727372419,8.327222222222222,459.6455111111111,1
|
||||
23.718322222222223,23.718322222222223,23.718322222222223,171.985574136009,0.7564965105719693,0.7229370279931389,0.9622847720198999,8.61891111111111,572.9029999995062,1
|
||||
42.862811111111114,42.862811111111114,42.862811111111114,129.4286510590858,0.5833774541774065,0.49188122225600817,0.9782495437049393,8.302755555555555,378.5922444444444,1
|
||||
22.934655555555555,22.934655555555555,22.934655555555555,79.23641025641027,0.7990226137232999,0.7630329744298493,0.983279961732119,4.5315111111111115,212.06088888888888,1
|
||||
42.316922222222225,42.316922222222225,42.316922222222225,99.4419286510591,0.7247298939801792,0.6803354692078366,0.9907715847000673,5.641066666666666,206.84711988888887,1
|
||||
46.64084444444445,46.64084444444445,46.64084444444445,223.0791304347826,0.6076447195415127,0.5696641980926194,0.9722773570475259,13.895655555555555,835.3306664433334,1
|
||||
24.471633333333333,24.471633333333333,24.471633333333333,160.10439241917504,0.7908036337742856,0.7691176198025282,0.9689747022855395,9.105688888888888,667.7863333333333,1
|
||||
14.3498,14.3498,14.3498,72.15105908584171,0.8484819011356232,0.8244662916729243,0.9727815523627541,4.8318666666666665,288.98675555555553,1
|
||||
21.144344444444446,21.144344444444446,21.144344444444446,89.53438127090303,0.8142761193721341,0.7889639777462459,0.9802992080437204,5.777522222222222,308.25476623691367,1
|
||||
10.71798888888889,10.71798888888889,10.71798888888889,53.54207357859533,0.8695324677033626,0.8527924266127203,0.9693376073050136,4.0472222222222225,219.88033214765431,1
|
||||
28.754344444444445,28.754344444444445,28.754344444444445,135.08967670011145,0.7958442894065261,0.7684837613392872,0.9822758613320323,7.243688888888889,442.96402222222224,1
|
||||
10.681777777777778,10.681777777777778,10.681777777777778,76.57641025641026,0.8766361560502435,0.8627182850541069,0.9615858270132235,4.973822222222222,341.03813333333335,1
|
||||
30.518444444444444,30.518444444444444,30.518444444444444,148.2647045707915,0.7531046913464694,0.7218466101824677,0.9778200449070089,7.826533333333333,425.487443531358,1
|
||||
38.05195555555556,38.05195555555556,38.05195555555556,90.71032329988853,0.7246747782072589,0.688376795547237,0.9889826337215474,7.333844444444445,319.5936443476544,1
|
||||
14.52821111111111,14.52821111111111,14.52821111111111,51.93397993311037,0.9067735962087399,0.893889664981689,0.9894289698812223,2.723911111111111,142.0738888888889,1
|
||||
39.47207777777778,39.47207777777778,39.47207777777778,124.02526198439243,0.6548175099639776,0.5992572834084615,0.9835002255765312,7.991122222222222,360.01559807098766,1
|
||||
30.29748888888889,30.29748888888889,30.29748888888889,47.79672240802676,0.7486983849528662,0.6909628043871218,0.9922544457175899,4.554777777777778,160.856,1
|
||||
20.979655555555556,20.979655555555556,20.979655555555556,132.06590858416945,0.8229238023122709,0.8019045124698652,0.9742819137974681,6.8668,456.66277777777776,1
|
||||
32.676566666666666,32.676566666666666,32.676566666666666,94.79170568561875,0.7193628185750128,0.6229247347166168,0.9859122393353165,6.771722222222222,344.730987318395,1
|
||||
54.528711111111114,54.528711111111114,54.528711111111114,199.32870680044593,0.5115325979716339,0.4428020414176411,0.9729434864977723,10.97161111111111,442.9892095900001,1
|
||||
42.788044444444445,42.788044444444445,42.788044444444445,170.84247491638794,0.5891617533865419,0.534883764003517,0.9722234562434459,9.799011111111112,445.9783725332099,1
|
||||
39.6545,39.6545,39.6545,144.04218506131548,0.6754697274842384,0.6276067096529834,0.979948464925926,8.391555555555556,421.4821636735802,1
|
||||
33.04816666666667,33.04816666666667,33.04816666666667,86.60530657748052,0.6730331610809825,0.6210557835157879,0.984011861484248,8.14568888888889,357.8611333333333,1
|
||||
46.550222222222224,46.550222222222224,46.550222222222224,120.7555518394649,0.6224772110204312,0.48140322361479854,0.9844588403950157,7.9635,298.85161184876546,1
|
||||
13.810133333333333,13.810133333333333,13.810133333333333,70.74584169453736,0.8763506469445391,0.8591248777711363,0.9793268467506043,3.7532,213.7611777777778,1
|
||||
28.496077777777778,28.496077777777778,28.496077777777778,75.65348940914159,0.7863177986976171,0.7558655844122929,0.9888294583468196,6.042922222222222,288.0263662369136,1
|
||||
21.202377777777777,21.202377777777777,21.202377777777777,79.21099219620957,0.8044809214041498,0.7768094340222012,0.9825153554615225,4.999377777777778,221.83639139555555,1
|
||||
39.51441111111111,39.51441111111111,39.51441111111111,189.17551839464886,0.6654067470944829,0.6242006834671174,0.9751976573128974,10.480933333333333,558.1701555555555,1
|
||||
27.667333333333332,27.667333333333332,27.667333333333332,108.55565217391305,0.7400917944218393,0.699807414451084,0.9782793519519323,6.607477777777778,316.9998827791358,1
|
||||
36.3302,36.3302,36.3302,134.51366778149384,0.7349478083688742,0.7051180334683931,0.9835395125293928,10.35148888888889,645.3288,1
|
||||
30.281755555555556,30.281755555555556,30.281755555555556,82.82297658862878,0.699045970412981,0.6397756864813835,0.9822463783354561,6.5589,277.92909282950615,1
|
||||
27.311644444444443,27.311644444444443,27.311644444444443,55.846131549609815,0.709238953793676,0.6323093959558737,0.9846740426874658,6.224011111111111,282.5844723850617,1
|
||||
16.388666666666666,16.388666666666666,16.388666666666666,55.64338907469344,0.8680271802013281,0.8484584619403959,0.9854647530737359,3.3980444444444444,156.19493333333332,1
|
||||
53.38563333333333,53.38563333333333,53.38563333333333,198.80364548494978,0.5776824202938072,0.5349403410945042,0.978079265345343,13.772277777777777,758.1516419722223,1
|
||||
22.820533333333334,22.820533333333334,22.820533333333334,122.20709030100335,0.8186235740022005,0.7948286795976388,0.9805230620577353,6.267688888888889,400.5915111111111,1
|
||||
26.20747777777778,26.20747777777778,26.20747777777778,91.71936454849498,0.7820365965987274,0.753788718438153,0.9828864860582973,7.107022222222223,397.3981777698765,1
|
||||
28.822533333333332,28.822533333333332,28.822533333333332,79.35933110367895,0.7892909239478122,0.7505551746701716,0.9891983816595706,5.738555555555555,279.0478,1
|
||||
20.243644444444445,20.243644444444445,20.243644444444445,98.91197324414716,0.8475950662330536,0.8274198852990955,0.9813888696900241,4.181922222222222,214.76400641666666,1
|
||||
48.066066666666664,48.066066666666664,48.066066666666664,100.99005574136011,0.6150404567912092,0.546771493194217,0.9861861807965671,7.356355555555556,265.1237302276543,1
|
||||
23.747755555555557,23.747755555555557,23.747755555555557,104.16220735785954,0.7205665489100337,0.6695270020066673,0.967627216804078,6.016344444444444,291.3083001480247,1
|
||||
10.85828888888889,10.85828888888889,10.85828888888889,51.98541806020066,0.9007083925145993,0.8856650141965592,0.9789223246654569,2.7535555555555558,134.58093333333332,1
|
||||
37.69233333333333,37.69233333333333,37.69233333333333,94.40818283166111,0.6763480157638523,0.612645405123694,0.986777386129199,6.909455555555556,255.51729965320996,1
|
||||
43.33475555555555,43.33475555555555,43.33475555555555,161.45182831661097,0.735104143964313,0.7017895349008448,0.986076459655281,6.4414,298.639454694321,1
|
||||
9.973555555555556,9.973555555555556,9.973555555555556,47.878127090301,0.9032859797966012,0.8881343580588056,0.9788052864910881,3.3291333333333335,209.0563111111111,1
|
||||
31.623722222222224,31.623722222222224,31.623722222222224,87.37959866220736,0.8075186745968684,0.7835856198380219,0.9908402098636506,4.076444444444444,158.04211098469133,1
|
||||
34.779922222222226,34.779922222222226,34.779922222222226,131.1442363433668,0.725888633858537,0.6886946047217138,0.982564465096712,6.256144444444445,255.96338886802465,1
|
||||
30.297422222222224,30.297422222222224,30.297422222222224,125.86734671125976,0.672526601925187,0.6168966378903937,0.9715181724965749,7.740388888888889,351.4815166211111,1
|
||||
33.25778888888889,33.25778888888889,33.25778888888889,134.0086064659978,0.7642586552231168,0.731399458037717,0.9842933172991718,6.8676,359.66297777777777,1
|
||||
25.2463,25.2463,25.2463,93.73845039018954,0.7413943996595814,0.700054781519752,0.9783695718065697,6.6725666666666665,320.451407404321,1
|
||||
32.423944444444444,32.423944444444444,32.423944444444444,125.73801560758082,0.7397090412643472,0.711318904127442,0.9810050036637066,8.6162,463.2277509091359,1
|
||||
29.617755555555554,29.617755555555554,29.617755555555554,141.34238573021182,0.7663358893421516,0.7374917397409851,0.9807039474357142,7.077333333333334,366.7801777777778,1
|
||||
29.15822222222222,29.15822222222222,29.15822222222222,134.12927536231885,0.7673994855722852,0.737024519056143,0.980767564595457,7.642222222222222,432.93130170666666,1
|
||||
15.3537,15.3537,15.3537,97.18209587513935,0.8196899680582996,0.7939037735093131,0.9656872420498523,5.3483777777777775,295.0589111111111,1
|
||||
9.907533333333333,9.907533333333333,9.907533333333333,64.01159420289855,0.8845732368108314,0.8675911733266468,0.9659337452586111,3.987022222222222,245.28626666666668,1
|
||||
33.49194444444444,33.49194444444444,33.49194444444444,112.8149609810479,0.7392593300778735,0.706059810601781,0.9836675512380494,7.4117,376.24509804333326,1
|
||||
25.319333333333333,25.319333333333333,25.319333333333333,108.52819397993315,0.7596439537609412,0.7270524838829532,0.976786319981855,6.5116,322.53422222222224,1
|
||||
24.681033333333332,24.681033333333332,24.681033333333332,92.30581939799332,0.7724849504791227,0.7395350817909581,0.9809011837692727,6.197388888888889,305.4282846161728,1
|
||||
21.185133333333333,21.185133333333333,21.185133333333333,75.24326644370123,0.8093004900506873,0.7839140546255797,0.9836709511954267,5.9201,316.1949215998766,1
|
||||
13.10971111111111,13.10971111111111,13.10971111111111,60.94265328874026,0.8476585498129703,0.822983800594812,0.9702278985133782,3.4749777777777777,146.0965111111111,1
|
||||
22.42837777777778,22.42837777777778,22.42837777777778,96.7321962095875,0.7939780441978322,0.7639337493277595,0.9796713978256991,5.910622222222222,307.26311111111113,1
|
||||
29.193655555555555,29.193655555555555,29.193655555555555,146.44609810479375,0.7004686790484342,0.6684017981052445,0.9678166584932378,9.631222222222222,505.2731278177779,1
|
||||
37.6165,37.6165,37.6165,61.77438127090301,0.7369944405021132,0.5066639219050131,0.9939349781933751,3.481422222222222,83.70399563654321,1
|
||||
17.78781111111111,17.78781111111111,17.78781111111111,90.23523968784839,0.821131382976734,0.7947451116759203,0.9752677038949622,5.349866666666666,285.79613735111116,1
|
||||
36.36394444444444,36.36394444444444,36.36394444444444,157.74952062430322,0.6298994931779305,0.5815438085234014,0.969421680596843,9.3205,443.4095155198766,1
|
||||
|
|
|
@ -0,0 +1,91 @@
|
|||
import os
|
||||
import cv2
|
||||
import numpy as np
|
||||
import pandas as pd
|
||||
from skimage.feature import graycomatrix, graycoprops
|
||||
|
||||
def extract_rgb_features(image):
|
||||
"""Ekstraksi fitur warna RGB"""
|
||||
mean_r = np.mean(image[:, :, 2])
|
||||
mean_g = np.mean(image[:, :, 1])
|
||||
mean_b = np.mean(image[:, :, 0])
|
||||
return mean_r, mean_g, mean_b
|
||||
|
||||
def extract_glcm_features(image, distances=[1], angles=[0], levels=256, symmetric=True, normed=True):
|
||||
"""Ekstraksi fitur tekstur menggunakan GLCM"""
|
||||
gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
|
||||
glcm = graycomatrix(gray_image, distances, angles, levels=levels, symmetric=symmetric, normed=normed)
|
||||
contrast = graycoprops(glcm, 'contrast')[0, 0]
|
||||
homogeneity = graycoprops(glcm, 'homogeneity')[0, 0]
|
||||
energy = graycoprops(glcm, 'energy')[0, 0]
|
||||
correlation = graycoprops(glcm, 'correlation')[0, 0]
|
||||
return contrast, homogeneity, energy, correlation
|
||||
|
||||
def extract_laplacian_features(image):
|
||||
"""Ekstraksi fitur tepi menggunakan Laplacian"""
|
||||
gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
|
||||
laplacian = cv2.Laplacian(gray_image, cv2.CV_64F)
|
||||
mean_laplacian = np.mean(np.abs(laplacian))
|
||||
var_laplacian = np.var(laplacian)
|
||||
return mean_laplacian, var_laplacian
|
||||
|
||||
def process_folder(folder_path, label):
|
||||
"""Memproses semua gambar dalam folder tertentu dan mengekstrak fitur"""
|
||||
data = []
|
||||
file_count = len(os.listdir(folder_path))
|
||||
processed_count = 0
|
||||
|
||||
for filename in os.listdir(folder_path):
|
||||
if filename.endswith(('.png', '.jpg', '.jpeg')):
|
||||
file_path = os.path.join(folder_path, filename)
|
||||
image = cv2.imread(file_path)
|
||||
|
||||
if image is None:
|
||||
print(f"❌ [SKIP] Tidak dapat membaca file: {file_path}")
|
||||
continue # Lewati gambar yang tidak bisa dibaca
|
||||
|
||||
try:
|
||||
rgb_features = extract_rgb_features(image)
|
||||
glcm_features = extract_glcm_features(image)
|
||||
laplacian_features = extract_laplacian_features(image)
|
||||
|
||||
features = rgb_features + glcm_features + laplacian_features + (label,)
|
||||
data.append(features)
|
||||
|
||||
processed_count += 1
|
||||
print(f"✅ [{processed_count}/{file_count}] Berhasil diproses: {filename}")
|
||||
except Exception as e:
|
||||
print(f"❌ [ERROR] Gagal memproses {filename}: {e}")
|
||||
|
||||
return data
|
||||
|
||||
def main(folder1, folder2, output_excel, output_csv):
|
||||
"""Fungsi utama untuk ekstraksi fitur dari dua folder gambar"""
|
||||
columns = ['Mean_R', 'Mean_G', 'Mean_B', 'Contrast', 'Homogeneity', 'Energy', 'Correlation', 'Mean_Laplacian', 'Var_Laplacian', 'Label']
|
||||
|
||||
print("\n📂 Memproses folder Fresh Strawberry...")
|
||||
data1 = process_folder(folder1, 2) # Label 2 untuk Fresh Strawberry
|
||||
|
||||
print("\n📂 Memproses folder Rotten Strawberry...")
|
||||
data2 = process_folder(folder2, 1) # Label 1 untuk Rotten Strawberry
|
||||
|
||||
# Gabungkan kedua dataset
|
||||
all_data = data1 + data2
|
||||
|
||||
# Konversi ke DataFrame
|
||||
df = pd.DataFrame(all_data, columns=columns)
|
||||
|
||||
# Simpan ke file Excel dan CSV
|
||||
df.to_excel(output_excel, index=False)
|
||||
df.to_csv(output_csv, index=False)
|
||||
|
||||
print(f"\n✅ Data telah disimpan ke: {output_excel} dan {output_csv}")
|
||||
|
||||
if __name__ == "__main__":
|
||||
# Ganti dengan path folder yang sesuai
|
||||
folder1 = r'C:\Users\user\Documents\dataset_stroberi\Stroberi_segar_BG_grayscale' # Fresh Strawberry
|
||||
folder2 = r'C:\Users\user\Documents\dataset_stroberi\Stroberi_busuk_BG_grayscale' # Rotten Strawberry
|
||||
output_excel = 'ekstraksi_citra_strawberry.xlsx' # Nama file output Excel
|
||||
output_csv = 'ekstraksi_citra_strawberry.csv' # Nama file output CSV
|
||||
|
||||
main(folder1, folder2, output_excel, output_csv)
|
||||
|
|
@ -0,0 +1,67 @@
|
|||
import pandas as pd
|
||||
import joblib
|
||||
from sklearn.model_selection import train_test_split
|
||||
from sklearn.preprocessing import StandardScaler
|
||||
from sklearn.neighbors import KNeighborsClassifier
|
||||
from sklearn.metrics import accuracy_score, classification_report, confusion_matrix
|
||||
|
||||
# Load dataset
|
||||
data_path = r'C:\Users\user\Documents\dataset_stroberi\ekstraksi_citra_strawberry.csv'
|
||||
data = pd.read_csv(data_path)
|
||||
|
||||
# Pastikan hanya label 1 (Segar) dan 2 (Busuk)
|
||||
data = data[data['Label'].isin([1, 2])]
|
||||
|
||||
# Perbaiki label (1 = Busuk, 2 = Segar)
|
||||
data['Label'] = data['Label'].map({1: 0, 2: 1})
|
||||
|
||||
# Pisahkan fitur dan label
|
||||
feature_columns = ['Mean_R', 'Mean_G', 'Mean_B', 'Contrast', 'Homogeneity',
|
||||
'Energy', 'Correlation', 'Mean_Laplacian', 'Var_Laplacian']
|
||||
X = data[feature_columns]
|
||||
y = data['Label']
|
||||
|
||||
# Split data menjadi training & testing (dengan stratifikasi agar distribusi seimbang)
|
||||
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42, stratify=y)
|
||||
|
||||
# Normalisasi data
|
||||
scaler = StandardScaler()
|
||||
X_train = scaler.fit_transform(X_train)
|
||||
X_test = scaler.transform(X_test)
|
||||
|
||||
# Inisialisasi model KNN dengan optimasi jumlah tetangga
|
||||
knn = KNeighborsClassifier(n_neighbors=5)
|
||||
|
||||
# Training model
|
||||
knn.fit(X_train, y_train)
|
||||
|
||||
# Cek distribusi fitur sebelum scaling
|
||||
X_train_original = scaler.inverse_transform(knn._fit_X)
|
||||
df = pd.DataFrame(X_train_original, columns=feature_columns)
|
||||
print("\nStatistik fitur sebelum scaling:\n")
|
||||
print(df.describe())
|
||||
|
||||
# Prediksi & evaluasi
|
||||
y_pred = knn.predict(X_test)
|
||||
accuracy = accuracy_score(y_test, y_pred)
|
||||
|
||||
# Tampilkan hasil akurasi
|
||||
print(f'\nAkurasi Model KNN: {accuracy * 100:.2f}%')
|
||||
|
||||
# Evaluasi lebih lanjut
|
||||
print("\nConfusion Matrix:")
|
||||
print(confusion_matrix(y_test, y_pred))
|
||||
print("\nClassification Report:")
|
||||
print(classification_report(y_test, y_pred))
|
||||
|
||||
# Simpan model dan scaler dalam format joblib
|
||||
model_path = r'C:\Users\user\Documents\dataset_stroberi\strawberry_freshness_knn.pkl'
|
||||
scaler_path = r'C:\Users\user\Documents\dataset_stroberi\scaler_knn.pkl'
|
||||
|
||||
try:
|
||||
joblib.dump(knn, model_path)
|
||||
joblib.dump(scaler, scaler_path)
|
||||
print(f'\nModel disimpan dalam: {model_path}')
|
||||
print(f'Scaler disimpan dalam: {scaler_path}')
|
||||
except Exception as e:
|
||||
print(f'\nError menyimpan model atau scaler: {e}')
|
||||
|
|
@ -0,0 +1,7 @@
|
|||
flask
|
||||
flask-cors
|
||||
numpy
|
||||
opencv-python
|
||||
pandas
|
||||
scikit-image
|
||||
scikit-learn
|
||||
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Reference in New Issue