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.
bash 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.
bash celantur.sh --stream 1 -a face -a license-plate -f whole
In stream mode, files in input folder are automatically deleted after they are processed!
Parameter
Description
--stream [seconds]
Streaming mode (Wait time in seconds).
Image and video processing
By default, Celantur Container processes images. Video processing has to be specified by adding the --video parameter.
Images:bash celantur.sh -a face -a license-plate -f whole
Videos:bash celantur.sh --video -a face -a license-plate -f whole
Parameters
You can add bash celantur.sh <parameters> to control the behavior of Celantur Container. Check out General Parameters and Recommended Parameters for specific camera systems and resolutions. Experienced Linux user can also modify the script celantur.sh
Input JSON
Customer can add JSON as input with the images to configure per-image anonymisation, e.g. ignore areas that should not be blurred.
Schema
JSON file has the same file name as the image with a different extension (.json), e.g.
Image: image-file.jpeg
JSON: image-file.json
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:
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:
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>
It's highly recommended to assign dedicated input/output folders to each container instance, when using the batch/stream mode.
To do that, either run celantur.sh from the corresponding processing folder, or use export PROCESS_DIR=<processing_directory_for_this_container> before executingcelantur.sh.
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.
Alternatively, give everyone write permission to log and output:
[[ ${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).
# 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