chore: drop helper scripts/ move, trim docs/scripts.md refs
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@@ -18,18 +18,17 @@
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- `archive/get_coordinates.py` / `archive/get_calib_frame.py` — zone calibration
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(`calib_frame.jpg`, `zones.json`); `archive/capture_frame_native.py` — grab
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native frames (`live_frame_native.png`).
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- `scripts/extract_random_frames.py` — sample frames for labeling; `archive/check_*.py`
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- `extract_random_frames.py` — sample frames for labeling; `archive/check_*.py`
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(`check_20_23`, `check_20_aug`, `check_all_after`) — batch verification passes.
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- `archive/test_bytetrack.py`, `archive/test_track_crash.py` — tracker experiments/crash repro.
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## DB / ops helpers
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`counter_dashboard.py` (dashboard), `scripts/check_jetson_db.py`,
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`counter_dashboard.py` (dashboard), `check_jetson_db.py`,
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`archive/backup.py`, `archive/dump_db.py`,
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`archive/migrate_jetson_db.py`, `archive/merge_batches_20_23.py`,
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`archive/merge_batches_28_35.py`, `archive/update_batches.py`,
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`archive/diagnose_truck_jetson.py`, `deploy_to_jetson.py`,
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`export_model.py` / `archive/export_v4.py` (TensorRT export),
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`scripts/generate_guide_pdf.py` (operator guide PDF).
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`export_model.py` / `archive/export_v4.py` (TensorRT export).
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## Ignored at runtime (`.gitignore`)
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`.env`, `*.db`, state JSONs, `batch_history_folder/`, media (`*.mp4/*.jpg/*.png`),
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@@ -1,35 +0,0 @@
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import paramiko
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import base64
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def run():
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client = paramiko.SSHClient()
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client.set_missing_host_key_policy(paramiko.AutoAddPolicy())
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client.connect('192.168.192.96', username='jetson', password='jetson', timeout=10)
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code = """
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import sqlite3
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conn = sqlite3.connect('/opt/jetson-counter/jetson_counter.db')
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conn.row_factory = sqlite3.Row
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cur = conn.cursor()
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for dt in ['2026-08-21', '2026-08-22']:
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print(f'=== BATCHES FOR {dt} ===')
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rows = cur.execute('SELECT * FROM batches WHERE counting_date = ? ORDER BY batch_number', (dt,)).fetchall()
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for r in rows:
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d = dict(r)
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print(f"Batch {d['batch_number']:02d}: count={d['count']}, start={d['start_time']}, end={d['end_time']}")
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print(f'=== DAILY SUMMARY FOR {dt} ===')
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rows = cur.execute('SELECT * FROM daily_summaries WHERE counting_date = ?', (dt,)).fetchall()
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for r in rows:
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print(dict(r))
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"""
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b64 = base64.b64encode(code.encode()).decode()
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stdin, stdout, stderr = client.exec_command(f"python3 -c \"import base64; exec(base64.b64decode('{b64}'))\"")
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print(stdout.read().decode())
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print("ERR:", stderr.read().decode())
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client.close()
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if __name__ == '__main__':
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run()
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@@ -1,69 +0,0 @@
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import os
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import random
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import cv2
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def extract_random_frames(video_path, output_dir, num_frames=500):
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# Ensure output directory exists
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os.makedirs(output_dir, exist_ok=True)
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# Open the video file
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cap = cv2.VideoCapture(video_path)
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if not cap.isOpened():
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print(f"Error: Gagal membuka video '{video_path}'")
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return
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# Get total number of frames
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total_frames = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
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fps = cap.get(cv2.CAP_PROP_FPS)
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duration_sec = total_frames / fps if fps > 0 else 0
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print(f"Video Info:")
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print(f" - Path: {video_path}")
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print(f" - Total Frame: {total_frames}")
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print(f" - FPS: {fps:.2f}")
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print(f" - Durasi: {duration_sec:.2f} detik (~{duration_sec/60:.2f} menit)")
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print(f" - Mengambil {num_frames} frame secara acak...\n")
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if total_frames < num_frames:
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print(f"Warning: Total frame pada video ({total_frames}) lebih kecil dari jumlah frame yang diminta ({num_frames}).")
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print("Akan mengekstrak semua frame yang tersedia.")
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selected_frames = list(range(total_frames))
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else:
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# Select 500 unique random frames
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selected_frames = random.sample(range(total_frames), num_frames)
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# Sort the indices so we seek sequentially (faster and more stable)
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selected_frames.sort()
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count = 0
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for idx, frame_id in enumerate(selected_frames):
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# Set the frame position
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cap.set(cv2.CAP_PROP_POS_FRAMES, frame_id)
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ret, frame = cap.read()
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if not ret:
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print(f"Warning: Gagal membaca frame ke-{frame_id}. Mencoba membaca frame selanjutnya...")
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# Try reading the next frame sequentially
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ret, frame = cap.read()
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if not ret:
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print(f"Error: Tetap gagal membaca frame setelah frame ke-{frame_id}. Melewati...")
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continue
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# Save frame as image
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output_filename = os.path.join(output_dir, f"frame_{frame_id:06d}.jpg")
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cv2.imwrite(output_filename, frame)
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count += 1
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# Print progress every 50 frames or at the end
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if count % 50 == 0 or count == len(selected_frames):
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print(f"Progress: [{count}/{len(selected_frames)}] Berhasil mengekstrak {output_filename}")
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cap.release()
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print(f"\nSelesai! Berhasil mengekstrak {count} frame acak ke folder '{output_dir}'.")
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if __name__ == "__main__":
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video_file = "0727.mp4"
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output_directory = "extracted_frames"
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number_of_frames = 500
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extract_random_frames(video_file, output_directory, number_of_frames)
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