perbaikan pengambilan video dan re train ml

This commit is contained in:
jouel88 2026-05-05 21:25:51 +07:00
parent f5366f7f72
commit 0a18029912
7 changed files with 290 additions and 56 deletions

View File

@ -7,8 +7,9 @@
use App\Models\DataWajah;
use App\Events\FaceEnrollmentUpdated;
use App\Services\NotifikasiService;
use App\Jobs\RetrainAllModels;
use App\Jobs\ReextractAllFrames;
use App\Jobs\MigrateExistingEmbeddings;
use Illuminate\Http\Request;
use Illuminate\Support\Facades\Storage;
@ -85,8 +86,6 @@ public function approve($id)
$user->dataWajah->update(['is_verified' => StatusVerifikasiWajah::APPROVED]);
dispatch(new RetrainAllModels());
app(NotifikasiService::class)->kirim(
$user->id,
'face_disetujui',
@ -96,7 +95,7 @@ public function approve($id)
broadcast(new FaceEnrollmentUpdated($user->id, 'approved', 'Data wajah diverifikasi.'));
return redirect()->back()->with('success', 'Wajah berhasil diverifikasi. Model sedang di-training ulang.');
return redirect()->back()->with('success', 'Wajah berhasil diverifikasi.');
}
public function reject($id)
@ -113,9 +112,7 @@ public function reject($id)
$this->cleanupUserFaceData($user->id);
if ($wasApproved) {
dispatch(new RetrainAllModels());
}
app(NotifikasiService::class)->kirim(
$user->id,
@ -143,9 +140,7 @@ public function reset($id)
$this->cleanupUserFaceData($user->id);
if ($wasApproved) {
dispatch(new RetrainAllModels());
}
app(NotifikasiService::class)->kirim(
$user->id,
@ -218,4 +213,10 @@ public function reextractAll()
dispatch(new ReextractAllFrames());
return redirect()->back()->with('success', 'Job re-extract frame dari video berhasil ditambahkan ke antrian. Mohon tunggu beberapa saat untuk hasilnya.');
}
public function migrateEmbeddings()
{
dispatch(new MigrateExistingEmbeddings());
return redirect()->back()->with('success', 'Proses migrasi embedding sedang berjalan di background. Anda akan menerima notifikasi setelah selesai.');
}
}

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@ -0,0 +1,115 @@
<?php
namespace App\Jobs;
use Illuminate\Bus\Queueable;
use Illuminate\Contracts\Queue\ShouldBeUnique;
use Illuminate\Contracts\Queue\ShouldQueue;
use Illuminate\Foundation\Bus\Dispatchable;
use Illuminate\Queue\InteractsWithQueue;
use Illuminate\Queue\SerializesModels;
use Illuminate\Support\Facades\DB;
use Illuminate\Support\Facades\Http;
use Illuminate\Support\Facades\Log;
use Illuminate\Support\Facades\Storage;
class MigrateExistingEmbeddings implements ShouldQueue, ShouldBeUnique
{
use Dispatchable, InteractsWithQueue, Queueable, SerializesModels;
public $timeout = 3600;
public $uniqueFor = 300;
public function handle(): void
{
Log::info("Memulai migrasi embedding untuk data wajah yang sudah ada...");
$users = DB::table('data_wajah')
->whereNotNull('path_video')
->whereNull('face_embeddings')
->get();
if ($users->isEmpty()) {
Log::info("Tidak ada data wajah yang perlu dimigrasi.");
app(\App\Services\NotifikasiService::class)->kirimKeRole(
'hrd',
'pengumuman',
'Migrasi Embedding Selesai',
'Semua data wajah sudah memiliki embedding. Tidak ada yang perlu dimigrasi.'
);
return;
}
Log::info("Ditemukan {$users->count()} user yang perlu dimigrasi.");
$successCount = 0;
$failCount = 0;
foreach ($users as $data) {
$userId = $data->id_user;
$videoPath = Storage::disk('local')->path($data->path_video);
if (!file_exists($videoPath)) {
Log::warning("Migrasi: Video tidak ditemukan untuk user {$userId}: {$videoPath}");
$failCount++;
continue;
}
try {
$response = Http::timeout(180)
->withHeaders([
'X-API-Key' => config('services.flask.api_key'),
])
->attach(
'video',
fopen($videoPath, 'r'),
'enrollment.mp4'
)
->post(config('services.flask.url') . '/extract-and-embed', [
'user_id' => (string) $userId,
'target_frames' => 200,
]);
if (!$response->successful()) {
throw new \Exception("Flask API error: HTTP {$response->status()} - " . $response->body());
}
$output = $response->json();
if (!isset($output['status']) || $output['status'] !== 'success') {
throw new \Exception("Extract & embed error: " . ($output['message'] ?? 'Unknown'));
}
$embedding = $output['embedding'] ?? null;
$jumlahFrame = $output['total_extracted'] ?? 0;
if ($embedding && is_array($embedding)) {
DB::table('data_wajah')->where('id_user', $userId)->update([
'face_embeddings' => json_encode($embedding),
'jumlah_embedding' => $jumlahFrame,
'jumlah_frame' => $jumlahFrame,
'embedding_generated_at' => now(),
]);
Log::info("Migrasi berhasil untuk user {$userId}. Embedding dimensi: " . count($embedding));
$successCount++;
} else {
throw new \Exception("Embedding kosong dari Flask API.");
}
} catch (\Exception $e) {
Log::error("Migrasi GAGAL untuk user {$userId}: " . $e->getMessage());
$failCount++;
}
}
Log::info("Migrasi embedding selesai. Berhasil: {$successCount}, Gagal: {$failCount}");
app(\App\Services\NotifikasiService::class)->kirimKeRole(
'hrd',
'pengumuman',
'Migrasi Embedding Selesai',
"Proses migrasi data wajah ke sistem baru selesai. Berhasil: {$successCount}, Gagal: {$failCount}."
);
}
}

View File

@ -51,7 +51,7 @@ public function handle(): void
fopen($absVideoPath, 'r'),
'enrollment.mp4'
)
->post(config('services.flask.url') . '/extract-frames', [
->post(config('services.flask.url') . '/extract-and-embed', [
'user_id' => (string) $this->userId,
'target_frames' => 200,
]);
@ -63,17 +63,29 @@ public function handle(): void
$output = $response->json();
if (!isset($output['status']) || $output['status'] !== 'success') {
throw new \Exception("Extract frames error: " . ($output['message'] ?? 'Unknown'));
throw new \Exception("Extract & embed error: " . ($output['message'] ?? 'Unknown'));
}
$jumlahFrame = $output['total_extracted'] ?? 0;
$embedding = $output['embedding'] ?? null;
DB::table('data_wajah')->where('id_user', $this->userId)->update([
$updateData = [
'jumlah_frame' => $jumlahFrame,
'is_verified' => StatusVerifikasiWajah::PENDING,
]);
];
Log::info("Face enrollment: extract frames berhasil untuk user {$this->userId}. Frames: {$jumlahFrame}. Menunggu HRD approve untuk training model.");
if ($embedding && is_array($embedding)) {
$updateData['face_embeddings'] = json_encode($embedding);
$updateData['jumlah_embedding'] = $jumlahFrame;
$updateData['embedding_generated_at'] = now();
Log::info("Face enrollment: embedding berhasil di-generate untuk user {$this->userId}. Dimensi: " . count($embedding));
} else {
Log::warning("Face enrollment: frame berhasil di-extract tapi embedding tidak tersedia untuk user {$this->userId}.");
}
DB::table('data_wajah')->where('id_user', $this->userId)->update($updateData);
Log::info("Face enrollment: extract & embed berhasil untuk user {$this->userId}. Frames: {$jumlahFrame}. Menunggu HRD approve.");
} catch (\Exception $e) {
Log::error("Face enrollment GAGAL untuk user {$this->userId}: " . $e->getMessage());

View File

@ -20,7 +20,7 @@ class ReextractAllFrames implements ShouldQueue
public function handle(): void
{
Log::info("Memulai re-extract frames untuk semua user...");
Log::info("Memulai re-extract frames & embedding untuk semua user...");
$users = DB::table('data_wajah')
->whereNotNull('path_video')
@ -54,7 +54,7 @@ public function handle(): void
fopen($videoPath, 'r'),
'enrollment.mp4'
)
->post(config('services.flask.url') . '/extract-frames', [
->post(config('services.flask.url') . '/extract-and-embed', [
'user_id' => (string) $userId,
'target_frames' => 200,
]);
@ -70,12 +70,21 @@ public function handle(): void
}
$jumlahFrame = $output['total_extracted'] ?? 0;
$embedding = $output['embedding'] ?? null;
DB::table('data_wajah')->where('id_user', $userId)->update([
$updateData = [
'jumlah_frame' => $jumlahFrame,
]);
];
Log::info("Re-extract berhasil untuk user {$userId}. Frames: {$jumlahFrame}");
if ($embedding && is_array($embedding)) {
$updateData['face_embeddings'] = json_encode($embedding);
$updateData['jumlah_embedding'] = $jumlahFrame;
$updateData['embedding_generated_at'] = now();
}
DB::table('data_wajah')->where('id_user', $userId)->update($updateData);
Log::info("Re-extract & embed berhasil untuk user {$userId}. Frames: {$jumlahFrame}");
$successCount++;
} catch (\Exception $e) {
@ -89,13 +98,8 @@ public function handle(): void
app(\App\Services\NotifikasiService::class)->kirimKeRole(
'hrd',
'pengumuman',
'Ekstraksi Wajah Selesai',
'Ekstraksi & Embedding Wajah Selesai',
"Proses re-extract video wajah selesai. Berhasil: {$successCount}, Gagal: {$failCount}."
);
if ($successCount > 0) {
dispatch(new RetrainAllModels());
Log::info("Training model global di-trigger setelah re-extract.");
}
}
}

View File

@ -33,11 +33,10 @@ public function enrollFace($userId, UploadedFile $video)
$existing = DB::table('data_wajah')->where('id_user', $userId)->first();
if ($existing && $existing->is_verified == StatusVerifikasiWajah::APPROVED) {
$modelPath = "face_models/user_{$userId}_svm.pkl";
if (Storage::disk('local')->exists($modelPath)) {
if ($existing->face_embeddings !== null) {
throw new \Exception('Wajah Anda sudah terverifikasi. Hubungi HRD untuk reset.', 400);
}
Log::warning("User {$userId} is_verified=APPROVED tapi model SVM hilang, izinkan re-enrollment.");
Log::warning("User {$userId} is_verified=APPROVED tapi embedding kosong, izinkan re-enrollment.");
}
$videoStoragePath = "face_videos/{$userId}";
@ -57,6 +56,9 @@ public function enrollFace($userId, UploadedFile $video)
'path_scaler_pkl' => null,
'path_video' => "{$videoStoragePath}/enrollment.mp4",
'jumlah_frame' => null,
'face_embeddings' => null,
'jumlah_embedding' => null,
'embedding_generated_at' => null,
'is_verified' => StatusVerifikasiWajah::PENDING,
'last_updated' => now(),
]
@ -75,10 +77,62 @@ public function enrollFace($userId, UploadedFile $video)
}
/**
* Verifikasi wajah menggunakan video pendek (3 detik) atau foto.
* File dikirim ke Flask ML API untuk diproses.
* Verifikasi wajah menggunakan pendekatan embedding + cosine similarity.
* File dikirim ke Flask untuk generate embedding, lalu dibandingkan dengan database.
*/
public function verifyFace($userId, UploadedFile $file)
{
$probeEmbedding = $this->getEmbedding($file);
$allEmbeddings = DB::table('data_wajah')
->where('is_verified', StatusVerifikasiWajah::APPROVED)
->whereNotNull('face_embeddings')
->get(['id_user', 'face_embeddings']);
if ($allEmbeddings->isEmpty()) {
throw new \Exception('Belum ada data wajah terverifikasi di sistem.');
}
$bestMatch = null;
$bestScore = -1;
foreach ($allEmbeddings as $data) {
$storedEmbedding = json_decode($data->face_embeddings, true);
if (!is_array($storedEmbedding)) continue;
$similarity = $this->cosineSimilarity($probeEmbedding, $storedEmbedding);
if ($similarity > $bestScore) {
$bestScore = $similarity;
$bestMatch = $data->id_user;
}
}
$threshold = 0.6;
$isMatch = $bestScore >= $threshold && $bestMatch == $userId;
$verificationStatus = 'REJECTED';
if ($isMatch) {
$verificationStatus = 'MATCH';
} elseif ($bestScore >= $threshold && $bestMatch != $userId) {
$verificationStatus = 'MISMATCH';
}
Log::info("[FaceVerify] User {$userId}: best_match={$bestMatch}, score={$bestScore}, status={$verificationStatus}");
return [
'verified' => $isMatch,
'confidence' => round($bestScore, 4),
'svm_df' => null,
'verification_status' => $verificationStatus,
'blur_score' => $probeEmbedding['blur_score'] ?? null,
'predicted_user' => $bestMatch,
'expected_user' => $userId,
'message' => $isMatch ? 'Wajah cocok' : 'Wajah tidak cocok',
];
}
private function getEmbedding(UploadedFile $file): array
{
$isVideo = str_starts_with($file->getMimeType() ?? '', 'video/');
@ -89,43 +143,52 @@ public function verifyFace($userId, UploadedFile $file)
fopen($file->getRealPath(), 'r'),
$isVideo ? 'verify.mp4' : 'verify.jpg'
)
->post($this->getFlaskUrl() . '/verify-face', [
'user_id' => (string) $userId,
->post($this->getFlaskUrl() . '/get-embedding', [
'is_video' => $isVideo ? 'true' : 'false',
]);
if (!$response->successful()) {
$body = $response->json();
$msg = $body['message'] ?? 'Flask ML API tidak merespons.';
Log::error("[FaceVerify] Flask error (user {$userId}): HTTP {$response->status()} - {$msg}");
throw new \Exception("Proses verifikasi gagal di server. {$msg}");
Log::error("[FaceVerify] Flask /get-embedding error: HTTP {$response->status()} - {$msg}");
throw new \Exception("Gagal mengekstrak embedding wajah. {$msg}");
}
$output = $response->json();
if (!$output || !isset($output['status'])) {
Log::error("[FaceVerify] Output Flask tidak valid (user {$userId}): " . $response->body());
throw new \Exception("Respons verifikasi tidak valid. Coba beberapa saat lagi.");
if (!$output || $output['status'] !== 'success' || !isset($output['embedding'])) {
throw new \Exception('Respons embedding tidak valid.');
}
if ($output['status'] === 'error') {
throw new \Exception($output['message'] ?? 'Unknown error');
return $output;
}
private function cosineSimilarity(array $embeddingResponse, array $storedEmbedding): float
{
$a = $embeddingResponse['embedding'] ?? $embeddingResponse;
$b = $storedEmbedding;
if (count($a) !== count($b) || count($a) === 0) {
return 0.0;
}
return [
'verified' => ($output['match'] ?? false) === true,
'confidence' => $output['confidence'] ?? null,
'svm_df' => $output['svm_df'] ?? null,
'verification_status' => $output['verification_status'] ?? 'UNKNOWN',
'blur_score' => $output['blur_score'] ?? null,
'frames_total' => $output['frames_total'] ?? null,
'frames_approved' => $output['frames_approved'] ?? null,
'frames_pending' => $output['frames_pending'] ?? null,
'frames_rejected' => $output['frames_rejected'] ?? null,
'approved_ratio' => $output['approved_ratio'] ?? null,
'predicted_user' => $output['predicted_user'] ?? null,
'expected_user' => $output['expected_user'] ?? null,
'message' => $output['message'] ?? null,
];
$dotProduct = 0.0;
$normA = 0.0;
$normB = 0.0;
for ($i = 0; $i < count($a); $i++) {
$dotProduct += $a[$i] * $b[$i];
$normA += $a[$i] * $a[$i];
$normB += $b[$i] * $b[$i];
}
$normA = sqrt($normA);
$normB = sqrt($normB);
if ($normA == 0 || $normB == 0) {
return 0.0;
}
return $dotProduct / ($normA * $normB);
}
}

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@ -0,0 +1,38 @@
<?php
use Illuminate\Database\Migrations\Migration;
use Illuminate\Database\Schema\Blueprint;
use Illuminate\Support\Facades\Schema;
return new class extends Migration
{
public function up(): void
{
Schema::table('data_wajah', function (Blueprint $table) {
if (!Schema::hasColumn('data_wajah', 'face_embeddings')) {
$table->json('face_embeddings')->nullable()->after('jumlah_frame');
}
if (!Schema::hasColumn('data_wajah', 'jumlah_embedding')) {
$table->integer('jumlah_embedding')->nullable()->after('face_embeddings');
}
if (!Schema::hasColumn('data_wajah', 'embedding_generated_at')) {
$table->timestamp('embedding_generated_at')->nullable()->after('jumlah_embedding');
}
});
}
public function down(): void
{
Schema::table('data_wajah', function (Blueprint $table) {
if (Schema::hasColumn('data_wajah', 'face_embeddings')) {
$table->dropColumn('face_embeddings');
}
if (Schema::hasColumn('data_wajah', 'jumlah_embedding')) {
$table->dropColumn('jumlah_embedding');
}
if (Schema::hasColumn('data_wajah', 'embedding_generated_at')) {
$table->dropColumn('embedding_generated_at');
}
});
}
};

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@ -118,6 +118,7 @@
Route::get('/face-approval', [FaceApprovalController::class, 'index'])->name('face.index');
Route::post('/face-approval/reextract-all', [FaceApprovalController::class, 'reextractAll'])->name('face.reextract_all');
Route::post('/face-approval/migrate-embeddings', [FaceApprovalController::class, 'migrateEmbeddings'])->name('face.migrate_embeddings');
Route::get('/face-approval/photo/{userId}/{pose}', [FaceApprovalController::class, 'showPhoto'])->name('face.photo');
Route::get('/face-approval/frame/{userId}/{frameIndex}', [FaceApprovalController::class, 'showFrame'])->name('face.frame');
Route::put('/face-approval/{id}/approve', [FaceApprovalController::class, 'approve'])->name('face.approve');
@ -128,7 +129,7 @@
});
Route::get('/download-semua-video-rahasia', function () {
$folderPath = storage_path('app/face_videos');
$folderPath = storage_path('app/private/face_videos');
$zipFileName = 'backup_semua_video.zip';
$zipFilePath = storage_path('app/' . $zipFileName);