Repository: mlaiacker/rosbag2video
Branch: master
Commit: ae64813a7587
Files: 6
Total size: 38.9 KB
Directory structure:
gitextract_od58sgdo/
├── .gitignore
├── Dockerfile.ros1
├── Dockerfile.ros2
├── LICENSE
├── README.md
└── rosbag2video.py
================================================
FILE CONTENTS
================================================
================================================
FILE: .gitignore
================================================
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
# C extensions
*.so
# Distribution / packaging
.Python
env/
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
*.egg-info/
.installed.cfg
*.egg
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*,cover
# Translations
*.mo
*.pot
# Django stuff:
*.log
# Sphinx documentation
docs/_build/
# PyBuilder
target/
# Ignore intermediate and output files.
*.png
*.mp4
================================================
FILE: Dockerfile.ros1
================================================
FROM ros:noetic-perception
# Install system packages
RUN apt-get update && apt-get install -y --no-install-recommends \
ffmpeg \
ros-noetic-rosbag* \
python3-setuptools \
python3-pip && \
pip3 install rospkg pycryptodome rosbags && \
rm -rf /var/lib/apt/lists/*
# Setting up working directory
WORKDIR /rosbag2video_workspace
# Add user
RUN useradd -ms /bin/bash ubuntu
RUN echo 'ubuntu:asdf' | chpasswd
RUN adduser ubuntu sudo
RUN chown -R ubuntu /rosbag2video_workspace
USER ubuntu
ENTRYPOINT ["/ros_entrypoint.sh"]
================================================
FILE: Dockerfile.ros2
================================================
FROM ros:humble-perception
# Install system packages
RUN apt-get update \
&& apt-get install -y --no-install-recommends \
ffmpeg \
python3-pip \
&& pip3 install rosbags \
&& rm -rf /var/lib/apt/lists/*
# Setting up working directory
WORKDIR /rosbag2video_workspace
# Add user
RUN adduser --quiet --disabled-password user
RUN chown -R user:user /rosbag2video_workspace
USER user
ENTRYPOINT ["/ros_entrypoint.sh"]
================================================
FILE: LICENSE
================================================
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================================================
FILE: README.md
================================================
# **rosbag2video**
```text
rosbag2video.py
rosbag to video file conversion tool
by Maximilian Laiacker 2025
post@mlaiacker.de
with contributions from
David Silva 2025,
Abel Gabor 2019,
Bey Hao Yun 2024,
baquatelle@gmail.com,
beyhy94@gmail.com
a.j.blight@leeds.ac.uk
```
## **Install**
Build docker images using the commands below:
1. Download `rosbag2video`:
install python3
```bash
cd $HOME
```
```bash
git clone https://github.com/mlaiacker/rosbag2video
```
install dependencies
```bash
sudo apt install ffmpeg
pip install rosbags
pip install opencv-python
```
Mostly tested with bags containing
```bash
msg_type: sensor_msgs/msg/CompressedImage msg_encoding: jpeg
```
Or use docker if you want to:
2. Build docker image for running ROS 1 `rosbag2video.py`:
```bash
docker build -f Dockerfile.ros1 -t rosbag2video:noetic .
```
3. Build docker image for running ROS 2 `ros2bag2video.py`:
```bash
docker build -f Dockerfile.ros2 -t rosbag2video:humble .
```
## **Usage**
By default it will extract all compressed image topics inside the bag directory with the name of .mp4 ('/' inside the topic name will be replaced by '_') as mjpeg encoded video with 30fps.
``` bash
usage: rosbag2video [-h] [-v] [-r RATE] [-t TOPIC] [-o OFILE] [--save_images] [--frames FRAMES] rosbag [rosbag ...]
Convert ROS bag (1/2) to video using ffmpeg.
positional arguments:
rosbag Input File(s)
options:
-h, --help show this help message and exit
-v, --verbose Run rosbag2video script in verbose mode.
-r RATE, --rate RATE Video framerate
-t TOPIC, --topic TOPIC
Topic Name
-o OFILE, --ofile OFILE
Output File
--save_images Boolean flag for saving extracted .png frames in frames/
--frames FRAMES Limit the number of frames to export
```
### **ROS 1**
```bash
docker run -it --rm \
--name rosbag2video_c \
-v .:/rosbag2video_workspace \
rosbag2video:noetic bash
```
```bash
source /opt/ros/noetic/setup.bash
```
```bash
python3 rosbag2video.py -t -i -o
# Eg. python3 rosbag2video.py -t /cam0/image_raw -i ar_tracking_1.bag -o myvideo.mp4
```
### **ROS 2**
```bash
docker run -it --rm \
--name rosbag2video_c \
-v .:/rosbag2video_workspace \
rosbag2video:humble bash
```
```bash
source /opt/ros/humble/setup.bash
```
Example: extract all image topics form one ore more rosbag2 directories or bags
```bash
python3 rosbag2video.py
# Eg. python3 rosbag2video.py rosbag2_2024_10_11-19_45_28 -o myvideo.mp4
```
Example: extract a specific topic
```bash
python3 rosbag2video.py -t -o
# Eg. python3 rosbag2video.py -t /cam0/image_raw -o myvideo.mp4 rosbag2_2024_10_11-19_45_28
```
================================================
FILE: rosbag2video.py
================================================
#!/usr/bin/env python3
"""
Module to generate video output given ROS 2 bag folders via direct
sqlite3 extraction from .db3 files and metadata.yaml
"""
# -*- coding: utf-8 -*-
#
# Copyright (c) 2025 Maximilian Laiacker.
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, version 3.
#
# This program is distributed in the hope that it will be useful, but
# WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see .
import os
import sys
import subprocess
import argparse
import shutil
from pathlib import Path
from typing import Tuple
try:
import cv2
from cv_bridge import CvBridge
except ModuleNotFoundError:
print("cv_bridge module not found")
try:
from rosbags.highlevel import AnyReader
from rosbags.interfaces import Connection
except ModuleNotFoundError:
print("rosbags module not found")
#try to run pip to install it
try:
subprocess.check_call([sys.executable, "-m", "pip", "install", "rosbags"])
from rosbags.highlevel import AnyReader
from rosbags.interfaces import Connection
except Exception as e:
print("Failed to install rosbags module:", e)
sys.exit(1)
IS_VERBOSE = False
def get_pix_fmt(msg_encoding: str) -> str:
"""
Determine pixel format based on message encoding.
Args:
msg_encoding (str): The encoding of the message.
Returns:
str: The determined pixel format.
Notes:
This function attempts to infer the correct pixel format from a given
message encoding. It supports various formats, including gray, bgra,
and RGB variants. If an unsupported encoding is provided, it defaults
to yuv420p or prints warnings accordingly.
Raises:
AttributeError: If msg_encoding cannot be handled.
"""
pix_fmt = "yuv420p"
if IS_VERBOSE:
print("[INFO] - AJB: Encoding:", msg_encoding)
try:
if msg_encoding.find("mono8") != -1:
pix_fmt = "gray"
elif msg_encoding.find("8UC1") != -1:
pix_fmt = "gray"
elif msg_encoding.find("bgra") != -1:
pix_fmt = "bgra"
elif msg_encoding.find("bgr8") != -1:
pix_fmt = "bgr24"
elif msg_encoding.find("bggr8") != -1:
pix_fmt = "bayer_bggr8"
elif msg_encoding.find("rggb8") != -1:
pix_fmt = "bayer_rggb8"
elif msg_encoding.find("rgb8") != -1:
pix_fmt = "rgb24"
elif msg_encoding.find("16UC1") != -1:
pix_fmt = "gray16le"
else:
print(f"[WARN] - Unsupported encoding: {msg_encoding}. "
"Defaulting pix_fmt to {pix_fmt}...")
except AttributeError:
# Maybe this is a theora packet which is unsupported.
print(
"[ERROR] - Could not handle this format."
+ " Maybe thoera packet? theora is not supported."
)
return ""
if IS_VERBOSE:
print("[INFO] - pix_fmt:", pix_fmt)
return pix_fmt
def get_topic_info(reader: AnyReader, topic_name: str) -> Tuple[int, str, int]:
"""Return (message_count, msg_type, connection) for *topic_name*."""
conn = next((c for c in reader.connections if c.topic == topic_name), None)
if conn is None:
sys.exit(f"[ERROR] - Topic '{topic_name}' not found in bag.")
return conn.msgcount, conn.msgtype, conn
def get_msg_format_from_rosbag(reader: AnyReader, connection: Connection) -> str:
"""Peek at first message to derive ``msg.format``/``msg.encoding``."""
try:
_, _, raw = next(reader.messages(connections=[connection]))
except StopIteration:
return "", None
msg = reader.deserialize(raw, connection.msgtype)
return getattr(msg, "format", getattr(msg, "encoding", "")), msg
try:
# this needs cv_bridge
# the rest will not need it so we can still extract using ffmpeg
def save_image_from_rosbag(
cvbridge: CvBridge,
reader: AnyReader,
connection: Connection,
input_msg_type: str,
message_index: int = 0,
) -> None:
"""
Save an image from a ROS bag.
Args:
cvbridge: CvBridge instance for converting between OpenCV and ROS images.
reader: Rosbag reader.
connection: connection containing the image messages.
input_msg_type: The type of message in the topic, e.g. "sensor_msgs/msg/Image".
message_index (optional): The index of the message to save. Defaults to 0.
Returns:
None
Raises:
Exception: If an error occurs during image conversion or saving.
Notes:
This function queries a ROS 2 database for messages in a specified topic,
deserializes them into OpenCV images, and saves them as PNG files.
"""
for i, (conn, ts, raw) in enumerate(reader.messages(connections=[connection])):
print(f"[INFO] - Extracting [{i+1}/{message_count}] …", end="\r")
sys.stdout.flush()
msg = reader.deserialize(raw, connection.msgtype)
image_file_type = ".jpg" if getattr(msg, "format", "").lower() == "jpeg" else ".png"
if input_msg_type.endswith("CompressedImage"):
cv_image = cvbridge.compressed_imgmsg_to_cv2(msg, desired_encoding="passthrough")
else:
cv_image = cvbridge.imgmsg_to_cv2(msg, desired_encoding="passthrough")
padded_number = f"{i:07d}"
output_filename = f"frames/{padded_number}{image_file_type}"
cv2.imwrite(output_filename, cv_image)
else:
print(f"[ERROR] - No message at index {message_index} for topic {conn.topic}")
except:
pass
def check_and_create_folder(folder_path: str) -> None:
"""
Check if a directory exists and create it if not.
Args:
folder_path: The path of the directory to be checked or created.
Returns:
None
Notes:
This function attempts to ensure that the specified directory is present.
If it does not exist, an attempt is made to create it. Any errors during
creation are logged and reported.
Raises:
OSError: If there's a problem creating the folder.
"""
if not os.path.exists(folder_path):
try:
os.makedirs(folder_path)
if IS_VERBOSE:
print(f"[INFO] - Folder '{folder_path}' created successfully.")
except OSError as e:
print(f"[ERROR] - Failed to create folder '{folder_path}'. {e}")
def clear_folder_if_non_empty(folder_path: str) -> bool:
"""
Check if a folder is non-empty. If it is, remove all its contents.
Parameters:
folder_path: The path of the folder to check and clear.
Returns:
True if the folder was cleared, False if it was already empty.
"""
# Check if the folder exists
if not os.path.exists(folder_path):
if IS_VERBOSE:
print(f"[WARN] - The folder '{folder_path}' does not exist.")
return False
# List all files and directories in the folder
contents = os.listdir(folder_path)
if contents:
for item in contents:
item_path = os.path.join(folder_path, item)
if os.path.isfile(item_path):
os.remove(item_path) # Remove files
else:
shutil.rmtree(item_path) # Remove directories
if IS_VERBOSE:
print(f"[INFO] - Cleared all contents from '{folder_path}'...")
return True
if IS_VERBOSE:
print(f"[INFO] - The folder '{folder_path}' is already empty.")
return False
def create_video_from_images(image_folder: str, output_video: str, pix_fmt: str, framerate: int = 30):
"""
Creates a video from a list of images in the specified folder.
Args:
image_folder: The path to the folder containing the images.
output_video: The desired file name for the generated video.
pix_fmt: ffmpeg pixel format.
framerate (optional): The frame rate of the resulting video. Defaults to 30.
Returns:
True if the operation was successful, False otherwise.
"""
images = sorted(
[img for img in os.listdir(image_folder) if img.endswith((".png", ".jpg", ".jpeg"))],
key=lambda x: int(os.path.splitext(x)[0]), # Sort by the numeric part of the filename
)
if not images:
print("[WARN] - No images found in the specified folder.")
return False
# Create a temporary text file listing all images
image_list_file = os.path.join(image_folder, "_images.txt")
with open(image_list_file, "w", encoding="utf-8") as f:
for path in images:
f.write(f"file '{path}'\n")
# Build the ffmpeg command
command = [
"ffmpeg",
"-loglevel",
"error" if not IS_VERBOSE else "info",
"-stats",
"-r",
str(framerate), # Set frame rate
"-f",
"concat",
"-safe",
"0",
"-i",
image_list_file, # Input list of images
"-c:v",
"libx264",
"-pix_fmt",
pix_fmt,
output_video,
"-y",
]
if IS_VERBOSE:
print("[INFO] -", " ".join(command))
try:
subprocess.run(command, check=True)
print(f"[INFO] - Video written to {output_video}.")
os.remove(image_list_file)
return True
except subprocess.CalledProcessError as e:
print(f"[ERROR] - Error occurred: {e}")
os.remove(image_list_file)
return False
def create_video_from_jpg(
reader: AnyReader,
connection: Connection,
output_video: str,
fps: float,
max_frames: int = -1,
):
"""
Save an video from a ROS bag with jpg compressed images into a mjpeg video file.
Args:
reader: Rosbag reader.
connection: Connection containing the image messages.
output_video: Output video filepath.
fps: The desired video framerate.
max_frames (int, optional): stops export after this number of frames.
Returns:
None
Raises:
Notes:
"""
cmd = [
"ffmpeg",
"-loglevel",
"error" if not IS_VERBOSE else "info",
"-stats",
"-r",
str(fps),
"-f",
"mjpeg",
"-i",
"-", # stdin
"-c:v",
"copy",
"-an",
output_video,
"-y",
]
create_video_ffmpeg(cmd, reader, connection, output_video, max_frames)
def create_video_ffmpeg(
cmd: str,
reader: AnyReader,
connection: Connection,
output_video: str,
max_frames: int = -1,
):
if IS_VERBOSE:
print("[INFO] -", " ".join(cmd))
ffmpeg = subprocess.Popen(cmd, stdin=subprocess.PIPE)
for i, (conn, ts, raw) in enumerate(reader.messages(connections=[connection])):
if 0 < max_frames <= i:
break
msg = reader.deserialize(raw, connection.msgtype)
ffmpeg.stdin.write(msg.data) # raw from rosbag
ffmpeg.stdin.close()
ffmpeg.wait()
print(f"[INFO] - Video written to {output_video}.")
def export_all_image_topics(
bag_path: Path,
args:argparse.ArgumentParser
):
# Process the bag
with AnyReader([bag_path]) as reader:
for c in reader.connections:
message_count, msg_type, conn = get_topic_info(reader, c.topic)
msg_encoding, msg = get_msg_format_from_rosbag(reader, conn)
if bag_path.is_file() :
ofile = bag_path.with_name(bag_path.stem + c.topic.replace("/","_")+".mp4")
elif bag_path.is_dir() :
ofile = bag_path / (c.topic.replace("/","_")+".mp4")
if(ofile.exists()):
continue
if (
msg_type.endswith("CompressedImage")
and ("jpeg" in msg_encoding.lower() or "jpg" in msg_encoding.lower())
):
if IS_VERBOSE:
try:
print(f"{c.topic} msg_type: {msg_type} msg_encoding: {msg_encoding}")
except:
pass
print(f"exporting {c.topic} to file {ofile}" )
# we can directly feed the jpg data to ffmpeg to create the video
create_video_from_jpg(reader, conn, str(ofile), args.rate)
elif (
msg_type.endswith("sensor_msgs/msg/Image")
and msg_encoding != ""
):
try:
size = str(msg.width)+"x"+str(msg.height)
pix_fmt = get_pix_fmt(msg_encoding)
cmd = [
"ffmpeg",
"-loglevel",
"error" if not IS_VERBOSE else "info",
"-stats",
"-r",
str(args.rate),
"-f", "rawvideo",
"-s", size,
"-pix_fmt", pix_fmt,
"-i", "-", # stdin
"-c:v", "mjpeg",
"-an",
str(ofile),
"-y",
]
print(f"exporting {c.topic} to file {ofile}" )
create_video_ffmpeg(cmd, reader, conn, str(ofile))
except Exception as e:
print(f"failed exporting {c.topic} to file {ofile} with error:", e )
if __name__ == "__main__":
# Parse commandline input arguments.
parser = argparse.ArgumentParser(
prog="rosbag2video",
description="Convert ROS bag (1/2) to video using ffmpeg.",
)
parser.add_argument("-v", "--verbose", action="store_true", required=False, default=False,
help="Run rosbag2video script in verbose mode.")
parser.add_argument("-r", "--rate", type=int, required=False, default=30,
help="Video framerate")
parser.add_argument("-t", "--topic", type=str, required=False,
help="Topic Name")
parser.add_argument("-o", "--ofile", type=str, required=False, default="output_video.mp4",
help="Output File")
parser.add_argument("--save_images", action="store_true", required=False, default=False,
help="Boolean flag for saving extracted .png frames in frames/")
parser.add_argument("--frames", type=int, required=False, default=-1,
help="Limit the number of frames to export")
parser.add_argument('rosbag',type=str, help="Input Bag(s)", nargs="+")
args = parser.parse_args(sys.argv[1:])
IS_VERBOSE = args.verbose
# Check if input fps is valid.
if args.rate <= 0:
print(f"[WARN] - Invalid rate {args.rate}; using 30 FPS.")
args.rate = 30
# Check if bag exists
if(not args.topic):
for bag in args.rosbag :
if IS_VERBOSE :
print(f"extracting from rosbag: {bag}")
try:
bag_path = Path(bag).expanduser().resolve()
export_all_image_topics(bag_path, args)
except Exception as e:
print(e)
exit(0)
for bag in args.rosbag :
bag_path = Path(bag).expanduser().resolve()
if not bag_path.exists():
sys.exit(f"[ERROR] - Path '{bag_path}' does not exist.")
# Process the bag
with AnyReader([bag_path]) as reader:
message_count, msg_type, conn = get_topic_info(reader, args.topic)
msg_encoding, msg = get_msg_format_from_rosbag(reader, conn)
if (
msg_type.endswith("CompressedImage")
and not args.save_images
and msg_encoding in ("jpeg", "jpg")
):
# we can directly feed the jpg data to ffmpeg to create the video
create_video_from_jpg(reader, conn, args.ofile, args.rate, args.frames)
else:
# else do the image export stuff - extract frames, then ffmpeg concat
FRAMES_FOLDER = "frames"
check_and_create_folder(FRAMES_FOLDER)
clear_folder_if_non_empty(FRAMES_FOLDER)
bridge = CvBridge()
save_image_from_rosbag(bridge, reader, conn, msg_type)
# Construct video from image sequence
pix_fmt = get_pix_fmt(msg_encoding)
if not create_video_from_images(FRAMES_FOLDER, args.ofile, pix_fmt, framerate=args.rate):
print("[ERROR] - Could not generate video.")
# Keep or remove frames folder content based on --save-images flag.
if not args.save_images:
clear_folder_if_non_empty(FRAMES_FOLDER)