chore: drop helper scripts/ move, trim docs/scripts.md refs

docs/scripts.md

@@ -18,18 +18,17 @@
 - `archive/get_coordinates.py` / `archive/get_calib_frame.py` — zone calibration
   (`calib_frame.jpg`, `zones.json`); `archive/capture_frame_native.py` — grab
   native frames (`live_frame_native.png`).
-- `scripts/extract_random_frames.py` — sample frames for labeling; `archive/check_*.py`
+- `extract_random_frames.py` — sample frames for labeling; `archive/check_*.py`
   (`check_20_23`, `check_20_aug`, `check_all_after`) — batch verification passes.
 - `archive/test_bytetrack.py`, `archive/test_track_crash.py` — tracker experiments/crash repro.
 
 ## DB / ops helpers
-`counter_dashboard.py` (dashboard), `scripts/check_jetson_db.py`,
+`counter_dashboard.py` (dashboard), `check_jetson_db.py`,
 `archive/backup.py`, `archive/dump_db.py`,
 `archive/migrate_jetson_db.py`, `archive/merge_batches_20_23.py`,
 `archive/merge_batches_28_35.py`, `archive/update_batches.py`,
 `archive/diagnose_truck_jetson.py`, `deploy_to_jetson.py`,
-`export_model.py` / `archive/export_v4.py` (TensorRT export),
+`export_model.py` / `archive/export_v4.py` (TensorRT export).
-`scripts/generate_guide_pdf.py` (operator guide PDF).
 
 ## Ignored at runtime (`.gitignore`)
 `.env`, `*.db`, state JSONs, `batch_history_folder/`, media (`*.mp4/*.jpg/*.png`),

scripts/check_jetson_db.py

@@ -1,35 +0,0 @@
-import paramiko
-import base64
-
-def run():
-    client = paramiko.SSHClient()
-    client.set_missing_host_key_policy(paramiko.AutoAddPolicy())
-    client.connect('192.168.192.96', username='jetson', password='jetson', timeout=10)
-
-    code = """
-import sqlite3
-
-conn = sqlite3.connect('/opt/jetson-counter/jetson_counter.db')
-conn.row_factory = sqlite3.Row
-cur = conn.cursor()
-
-for dt in ['2026-08-21', '2026-08-22']:
-    print(f'=== BATCHES FOR {dt} ===')
-    rows = cur.execute('SELECT * FROM batches WHERE counting_date = ? ORDER BY batch_number', (dt,)).fetchall()
-    for r in rows:
-        d = dict(r)
-        print(f"Batch {d['batch_number']:02d}: count={d['count']}, start={d['start_time']}, end={d['end_time']}")
-
-    print(f'=== DAILY SUMMARY FOR {dt} ===')
-    rows = cur.execute('SELECT * FROM daily_summaries WHERE counting_date = ?', (dt,)).fetchall()
-    for r in rows:
-        print(dict(r))
-"""
-    b64 = base64.b64encode(code.encode()).decode()
-    stdin, stdout, stderr = client.exec_command(f"python3 -c \"import base64; exec(base64.b64decode('{b64}'))\"")
-    print(stdout.read().decode())
-    print("ERR:", stderr.read().decode())
-    client.close()
-
-if __name__ == '__main__':
-    run()

scripts/extract_random_frames.py

@@ -1,69 +0,0 @@
-import os
-import random
-import cv2
-
-def extract_random_frames(video_path, output_dir, num_frames=500):
-    # Ensure output directory exists
-    os.makedirs(output_dir, exist_ok=True)
-    
-    # Open the video file
-    cap = cv2.VideoCapture(video_path)
-    if not cap.isOpened():
-        print(f"Error: Gagal membuka video '{video_path}'")
-        return
-
-    # Get total number of frames
-    total_frames = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
-    fps = cap.get(cv2.CAP_PROP_FPS)
-    duration_sec = total_frames / fps if fps > 0 else 0
-    
-    print(f"Video Info:")
-    print(f" - Path: {video_path}")
-    print(f" - Total Frame: {total_frames}")
-    print(f" - FPS: {fps:.2f}")
-    print(f" - Durasi: {duration_sec:.2f} detik (~{duration_sec/60:.2f} menit)")
-    print(f" - Mengambil {num_frames} frame secara acak...\n")
-
-    if total_frames < num_frames:
-        print(f"Warning: Total frame pada video ({total_frames}) lebih kecil dari jumlah frame yang diminta ({num_frames}).")
-        print("Akan mengekstrak semua frame yang tersedia.")
-        selected_frames = list(range(total_frames))
-    else:
-        # Select 500 unique random frames
-        selected_frames = random.sample(range(total_frames), num_frames)
-    
-    # Sort the indices so we seek sequentially (faster and more stable)
-    selected_frames.sort()
-
-    count = 0
-    for idx, frame_id in enumerate(selected_frames):
-        # Set the frame position
-        cap.set(cv2.CAP_PROP_POS_FRAMES, frame_id)
-        ret, frame = cap.read()
-        
-        if not ret:
-            print(f"Warning: Gagal membaca frame ke-{frame_id}. Mencoba membaca frame selanjutnya...")
-            # Try reading the next frame sequentially
-            ret, frame = cap.read()
-            if not ret:
-                print(f"Error: Tetap gagal membaca frame setelah frame ke-{frame_id}. Melewati...")
-                continue
-        
-        # Save frame as image
-        output_filename = os.path.join(output_dir, f"frame_{frame_id:06d}.jpg")
-        cv2.imwrite(output_filename, frame)
-        count += 1
-        
-        # Print progress every 50 frames or at the end
-        if count % 50 == 0 or count == len(selected_frames):
-            print(f"Progress: [{count}/{len(selected_frames)}] Berhasil mengekstrak {output_filename}")
-
-    cap.release()
-    print(f"\nSelesai! Berhasil mengekstrak {count} frame acak ke folder '{output_dir}'.")
-
-if __name__ == "__main__":
-    video_file = "0727.mp4"
-    output_directory = "extracted_frames"
-    number_of_frames = 500
-    
-    extract_random_frames(video_file, output_directory, number_of_frames)