Abg Kakek Ml Ama Cucu Sendiri. Kakek 01.3gp Extra Quality

Judul: Kakek ML dan Cucu Penuh Semangat

Resources

6.1 Scene change detection (PySceneDetect)

Origin

| Property | Detail | |----------|--------| | | Developed by the 3GPP (3rd Generation Partnership Project) for early mobile phones. | | File Extension | .3gp | | Typical Codec | H.263 or H.264 video + AMR audio. | | Advantages | Very small file size, high compatibility with older Android devices. | | Limitations | Lower visual quality than MP4; not ideal for high‑resolution content. | | How to Create | 1. Record on a smartphone (most Android phones can export directly as .3gp). 2. Convert via HandBrake or FFmpeg : ffmpeg -i input.mp4 -c:v h263 -c:a amr output.3gp . | | Best Practices for Sharing | • Keep video ≤ 2 minutes for quick upload. • Use subtitles (SRT) if you want the grandparent to read the explanation. • Attach a short text description: “Kakek 01 – Our first ML model predicting photo likes”. |

Data Privacy

| Issue | Guideline for Grandparent & Teen | |-------|-----------------------------------| | | Avoid uploading personal photos to public cloud services without consent. Use Google Drive with private sharing. | | Bias Awareness | Discuss how a model can learn unwanted stereotypes from the data (e.g., always favoring certain skin tones). | | Screen Time | Set a limit (e.g., 30 minutes per session) to keep the activity enjoyable for the elder. | | Online Safety | Use official platforms (Colab, Scratch) and never share passwords. | ABG kakek ML ama cucu sendiri. kakek 01.3gp

Pak Jaya

Di sebuah desa kecil yang dikelilingi sawah hijau, hiduplah seorang kakek bernama . Pak Jaya memang terkenal di lingkungan sebagai “kakek ML”. Bukan karena ia pernah menjadi militer atau pelaut, melainkan karena ia adalah Machine Learning (pembelajaran mesin) yang hobi mengutak‑atik algoritma sejak usia pensiun. Di rumahnya, rak‑rak buku berisi jurnal‑jurnal ilmiah berdampingan dengan foto-foto keluarga lama, dan di sudut ruang tamu ada sebuah laptop tua yang selalu menyala. Judul: Kakek ML dan Cucu Penuh Semangat Resources 6

# 6️⃣ Predict & evaluate pred = model.predict(X_test) print('Akurasi:', accuracy_score(y_test, pred)) | | Limitations | Lower visual quality than

def detect_faces(img): # returns list of (x1, y1, x2, y2, prob) boxes, probs = mtcnn.detect(img) return boxes, probs