Batch and Stream mode
Celantur Container batch and stream mode allow you to anonymize images and videos stored on the local file system.
Preparation
The following folders are necessary:
$ROOT
├── input/
├── licensing/
├── log/
└── output/
input
: Where the original files are stored (including subfolders)output
: Folder for the anonymized images/videos. If a file exists with the same as in input folder, then processing of the file is skipped.log
: Folder containing the logs.licensing
: Folder containing the license key. Copy the license filelicense
into this folder aslicensing/license
.
Starting in Batch mode
Starting the Container in Batch mode triggers a processing of all files in the input
folder. After files have been processed, the Container is shut down.
./celantur.sh -a face -a license-plate -f whole
Starting in Stream mode
Stream mode keeps the Container continuously checking the input
folder for new files that have to be processed. The delay between checks can be specified in seconds. The Container needs to be shut down manually.
./celantur.sh --stream -a face -a license-plate -f whole
Image and video processing
By default, Celantur Container processes images. Video processing has to be specified by adding the --video
parameter.
Images: ./celantur.sh -a face -a license-plate -f whole
Videos: ./celantur.sh --video -a face -a license-plate -f whole
Parameters
You can edit ./celantur.sh <parameters>
to modify the behavior of Celantur Container. Experienced Linux user can modify the script celantur.sh
--anonymise {face, license-plate, person, vehicle}
-a {face, license-plate, person, vehicle}
REQUIRED
Specify objects to be anonymized.
--format FORMAT
-f FORMAT
REQUIRED
Specify image format, to control how an image should be processed. Default: whole
Image tiling for improved anonymization results and limiting the anonymization to a specific section of the image can be specified here as well.
See Image Format section for reference or check usage with ./celantur.sh -h
.
--help
-h
Prints help message with all parameters and exits.
--bbox
Anonymizes objects with bounding boxes
--debug
Enables debug mode. Bounding boxes of detected objects are displayed on images.
--score
Prints the certainty scores of detected objects on images, if debug mode is enabled.
--cpu-mode
Disables GPU utilization. See Using CPU only
--method {blur, pixelate, blacken, detect}
Choose anonymization method (default: blur)
--metrics <filename.json>
File name for metrics (default: metrics.json)
--quality [1..100]
Quality of output (JPEG) image (default: 90)
--overwrite
Overwrite existing files in output folder.
--stream [seconds]
Streaming mode (Wait time in seconds).
--server <host:port>
--server-array <host:port>
--video
Anonymize videos.
--model segmentatio-omnium
Specifies which models shall be used. `segmentatio-omnium` model is significantly faster than the default model (without --model ...
paramter).
--no-object-tracking
Disables object tracking in videos, whic is enabled by default. See Object Tracking
--keep-bit-rate [bool]
Specifies whether the bitrate of the anonymized video should remain very close to the one of the original video.
Enabling keep-bit-rate
will ensure a nearly identically file size of the processed video, at the cost of 10% to 20% higher processing time.
Default: false
--person-threshold [0..1]
Threshold for whole person detection.
--vehicle-threshold [0..1]
Threshold for vehicle detection.
--face-threshold [0..1]
Threshold for face detection.
--license-plate-threshold [0..1]
Threshold for license plate detection.
--save-mask {all, instance, binary}
Generate binary and instance segmentation mask files per processed images. See Segmentation Masks.
--mask-scale {0..100}
Scales binary and instance segmentation mask files down by the specified ratio. See Segmentation Masks.
--log-level {CRITICAL,ERROR,WARNING,INFO, DETAIL,DEBUG}
Specifies which levels of logs will be printed out.
For more arguments, check ./celantur.sh --help
.
Image format
By specifying image format settings, Celantur Container can achieve improved anonymization results and apply anonymization only to a specific region of an image.
--format '{"number":[nx,ny],"overlap":[ox,oy],"section":[x1,y1,x2,y2]}'
Custom tiling for improved results
In certain cases, its beneficial to process high-resolution imagery in tiles, instead of the whole image. Small, distant objects are more likely to be detected.
--format '{"number":[nx,ny],"overlap":[ox,oy]}'
nx
Number of horizontal tiles
ny
Number of vertical tiles
ox
Horizontal overlap between tiles in pixels
oy
Vertical overlap between tiles in pixels
Limit anonymization to a section of the image
Apply anonymization only to a specified rectangular section of the image. This can result in faster processing time.
--format '{"number":[3,2],"overlap":[ox,oy],"section":[x1,y1,x2,y2]}'
x1, y1
Top left coordinate of the section
x2, y2
Bottom right coordinate of the section
Predefined formats
Alternatively, you can use the option --format
to choose the resolution of the input images, eg. --format pano:8000
for an image resolution of 8000x4000.
Use --format whole
for all formats not listed below, or if the input images have different resolutions.
pano:4096
4096x2048
pano:5400
5400x2700
pano:5640
5640x2816
pano:7060
7060x3530
pano:7680
7680x3840
pano:8000
8000x4000
pano:7680
7680x3840
pano:8000
8000x4000
pano:8192
8192x4096
pano:11000
11000x5500
whole
default, valid for all resolutions
FAQ
How do I use input/output folders on an external drive?
You can use symbolic links (see ln for reference) for the input and output folders, e.g. in the folder with the celantur.sh
script:
# set "input" as a symbolic link to an external drive
ln -s /path/to/external/drive/input-images input
# set "output" as a symbolic link to an external drive
ln -s /path/to/external/drive/output-images output
Can I start multiple container instances on one machine?
Yes, this is possible and can lead to a higher throughput when you process images, by having several container instances working in parallel. Please make sure that your system has enough resources available.
Run the following command as many times as how many container instances you want to start:
celantur.sh --detach
The --detach
flag is supported starting from version 22.06.3.
Note that this will start container in the detached mode and you will not be able to observe the text output. To inspect which containers are currently running use docker ps
, which will also print the container IDs. To inspect log outputs of a particular container, use docker logs <container_id>
. Finally, to stop the container use docker kill <container_id> && docker rm <container_id>
"Permission denied" error when writing files
Problem: [Errno 13] Permission denied: '/path/to/file'
In Docker, if you mount a directory to Docker that does not exist, Docker creates the folder as root. Inside Docker container, the user (with UID 1000) cannot write in the directory.
Solution: Create the folders output
and log
before you mount them and ensure that the file owner has UID 1000.
mkdir log output
sudo chown 1000:1000 log output
Alternatively, give everyone write permission to log
and output
:
mkdir log output
chmod 777 log output
"Read-only file system" error when writing files
Problem: [Errno 30] Read-only file system: '/path/to/file'
Solution: The folder is mounted in Docker as read-only. Remove the appendix :ro
from the -v
parameter.
Will image EXIF, IPTC and XMP metadata be carried over to the anonymized image?
Yes, metadata (e.g. EXIF, IPTC and XMP information, ICC color profile) is retained when creating the anonymized version of an image.
Will video metadata be carried over to the anonymized video?
Celantur Container attempts to copy over all stream/track and container metadata to the anonymized video.
Supported image formats
The following image formats are supported:
.jpg
/.jpeg
.png
.tif
/.tiff
.bmp
.jfif
Supported video codecs
Codecs are essential for encoding and decoding audio, video, or other data streams.
Celantur Container provides support, among others, for these codecs:
h265
h264
mjpeg
mpeg4
Plese contact us, if you want to know more about our support for other codes.
Are ROS2 MCAP files supported?
Please see Anonymization of ROS2 .mcap files
Can multiple GPUs in one machine be utilized?
Yes, by starting multiple instances/processes of Celantur Container.
To specify the GPU which Celantur Container utilizes, you need to adapt the celantur.sh
script. Instead of:
[[ ${PARAMETERS} != *"--cpu-mode"* ]] && GPU="--gpus
all
"
change it to
[[ ${PARAMETERS} != *"--cpu-mode"* ]] && GPU="--gpus
device=<GPU-UUID>
"
You find the GPU UUID with nvidia-smi -L
. Result is GPU-xxxx-xxx-xxx-xxxx-xxxxxxx
Can a Basic/PRO license be used on a multi GPU machine?
Yes, Celantur Container can be used on multi GPU systems. Multiple GPU UUIDs can be specified in a license file.
Why is the file size of a JPEG different after anonymization?
Celantur applies anonymization on the raw pixel data. JPEG compression is applied when saving an anonymized image as a JPEG, resulting in a different file size. The resulting JPEG file size can be influenced by changing the quality
parameter (default: 90).
Last updated