Deploys simple-lama-inpainting as a microservice. The microservice uses an Ubuntu 20.04.6 LTS container (see below for more system information).
Luckily, base Ubuntu 20.04 has all that's needed. The remaining requirements are Python packages. venv is used to avoid cluttering the system (optional).
If you do not have the venv package, it is recommended to install it through the system package manager:
# apt install python3.8-venvNote: If you use simple_lama and run into the following error, you may need to apt install libgl1.
ImportError: libGL.so.1: cannot open shared object file: No such file or directory$ ./deploy.sh- Create and activate the
venv(optional)
$ python3 -m venv .venv
$ source .venv/bin/activate # for bash/zsh- Install the required packages
$ pip install simple-lama-inpainting- Start the Flask server:
$ flask run
After deploying the server, ./send_request.py sends test_im.png and test_mask.png in the current directory to the server. The result will be saved as result.png.
Note: send_request.py assumes the hostname is http://127.0.0.1:5000. Make sure to modify host if needed.
(.venv) osalbahr@12841f99a914:~$ fastfetch
....
.',:clooo: .:looooo:.
.;looooooooc .oooooooooo'
.;looooool:,''. :ooooooooooc
;looool;. 'oooooooooo,
;clool' .cooooooc. ,,
... ...... .:oo,
.;clol:,. .loooo' osalbahr@12841f99a914
:ooooooooo, 'ooool ---------------------
'ooooooooooo. loooo. OS: Ubuntu focal 20.04 x86_64
'ooooooooool coooo. Host: Alienware Aurora R9 (1.0.7)
,loooooooc. .loooo. Kernel: 6.2.0-34-generic
.,;;;'. ;ooooc Uptime: 33 days, 6 hours, 32 mins
... ,ooool. Packages: 358 (dpkg), 33 (brew)
.cooooc. ..',,'. .cooo. Shell: bash 5.0.17
;ooooo:. ;oooooooc. :l. Terminal: node
.coooooc,.. coooooooooo. CPU: Intel(R) Core(TM) i9-9900K (16) @ 5.00 GHz
.:ooooooolc:. .ooooooooooo' Memory: 24.37 GiB / 62.61 GiB (39%)
.':loooooo; ,oooooooooc Disk (/): 200.92 GiB / 1.83 TiB (11%) - overlay
..';::c' .;loooo:' Locale: en_US.UTF-8
.
████████████████████████
████████████████████████
(.venv) osalbahr@12841f99a914:~$ nvidia-smi
Tue Nov 14 01:06:38 2023
+---------------------------------------------------------------------------------------+
| NVIDIA-SMI 535.113.01 Driver Version: 535.113.01 CUDA Version: 12.2 |
|-----------------------------------------+----------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+======================+======================|
| 0 NVIDIA GeForce RTX 2080 ... Off | 00000000:01:00.0 Off | N/A |
| 18% 29C P8 16W / 250W | 15MiB / 8192MiB | 0% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+
| 1 NVIDIA GeForce RTX 2080 ... Off | 00000000:02:00.0 Off | N/A |
| 18% 28C P8 13W / 250W | 6MiB / 8192MiB | 0% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+
+---------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=======================================================================================|
+---------------------------------------------------------------------------------------+