OCRSync/process_frames.py at master · biospi/OCRSync · GitHub

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from pathlib import Path
from datetime import datetime
import pandas as pd
import subprocess


# -------------------------------------------------------
# Create FFmpeg filelist
# -------------------------------------------------------
def write_filelist(filelist_path, image_paths):
    with open(filelist_path, "w", encoding="utf-8") as f:
        for p in image_paths:
            f.write(f"file '{p.as_posix()}'\n")


# -------------------------------------------------------
# Run FFmpeg
# -------------------------------------------------------
def run_ffmpeg(cmd):
    print("Running FFmpeg:")
    print(" ".join(cmd))
    subprocess.run(cmd, check=True)


# -------------------------------------------------------
# MAIN PROCESS
# -------------------------------------------------------
def process(input_folder=Path("C:/sync"), fps=15):
    output_folder = input_folder / "output_videos"
    output_folder.mkdir(exist_ok=True)

    # ---------------------------------------------------
    # Step 1 — Collect ALL frames and parse timestamps
    # ---------------------------------------------------
    print("Scanning JPG files...")

    jpg_files = list(input_folder.rglob("*.jpg"))

    records = []
    for file in jpg_files:
        ip = file.parent.parent.parent.parent.name  # "<ip>"
        ts_str = file.stem.replace("~T", "")

        try:
            ts = datetime.strptime(ts_str, "%Y_%m_%dT%H_%M_%S_%f")
        except:
            continue

        records.append((ip, ts, file))

    df = pd.DataFrame(records, columns=["ip", "timestamp", "path"])
    df = df.sort_values(["timestamp", "ip"])

    # ---------------------------------------------------
    # Step 2 — Build synchronized groups
    # ---------------------------------------------------
    print("Grouping timestamps...")

    counts = df["timestamp"].value_counts()
    shared_ts = counts[counts == df["ip"].nunique()].index  # only timestamps present in all cameras

    df_sync = df[df["timestamp"].isin(shared_ts)]
    df_sync = df_sync.sort_values(["timestamp", "ip"])

    print(f"Total synchronized frames: {len(df_sync)}")

    # ---------------------------------------------------
    # Step 3 — Create per-camera filelists
    # ---------------------------------------------------
    ips = sorted(df_sync["ip"].unique())

    filelists = {}

    for ip in ips:
        cam_frames = df_sync[df_sync["ip"] == ip]["path"].tolist()
        filelist_path = output_folder / f"{ip}_filelist.txt"
        write_filelist(filelist_path, cam_frames)
        filelists[ip] = filelist_path

    # ---------------------------------------------------
    # Step 4 — Encode each camera video
    # ---------------------------------------------------
    print("Encoding camera videos...")

    cam_videos = {}

    for ip, filelist in filelists.items():
        out = output_folder / f"{ip}.mp4"
        cam_videos[ip] = out

        cmd = [
            "ffmpeg", "-y",
            "-f", "concat",
            "-safe", "0",
            "-r", str(fps),
            "-i", str(filelist),
            "-vf", "hflip",
            "-vcodec", "libx264",
            "-preset", "fast",
            "-crf", "18",
            "-pix_fmt", "yuv420p",
            str(out)
        ]

        run_ffmpeg(cmd)

    # ---------------------------------------------------
    # Step 5 — Build synchronized grid montage
    # ---------------------------------------------------
    print("Building grid video...")

    # expected cameras in layout
    cam27 = str(cam_videos.get("27"))
    cam25 = str(cam_videos.get("25"))
    cam26 = str(cam_videos.get("26"))
    cam24 = str(cam_videos.get("24"))

    grid_out = output_folder / "sync_grid.mp4"

    cmd = [
        "ffmpeg", "-y",
        "-i", cam27,
        "-i", cam25,
        "-i", cam26,
        "-i", cam24,
        "-filter_complex",
        # Build the 2x2 grid layout:
        # Row1: cam27 | cam25
        # Row2: cam26 | cam24
        "[0:v][1:v]hstack=inputs=2[top];"
        "[2:v][3:v]hstack=inputs=2[bottom];"
        "[top][bottom]vstack=inputs=2[grid]",
        "-map", "[grid]",
        "-vcodec", "libx264",
        "-preset", "fast",
        "-crf", "18",
        "-pix_fmt", "yuv420p",
        str(grid_out)
    ]

    run_ffmpeg(cmd)

    print("\nALL DONE!")
    print(f"Grid video: {grid_out}")


if __name__ == "__main__":
    process()