Hi, I tested the application and it works really amazing. Thank you so much for the build and documentation. But when I upload images in excess of 1k and test the recognition services on it, the API container fails.

After that I looked into custom builds and tried mobile net/face net/insight face, all of them with no GPU support but after uploading 3k images, the container again failed during a call to recognition service for just 1 patient. My current laptop configuration is - CPU - iIntel Core i3-1115G4 with 4.1 Ghz clock speed (Dual Core ) , OS - Win 10 64 bit, RAM - 8GB DDR4 2666 Mhz Hard Disk - 1TB HDD Graphic Card - Intel UHD Graphics 630 1666 MB

The current laptop doesn't have nvidia graphics so no additional GPU support. This will act as a standalone system which should be capable of using the face recognition algorithm upto a scale of 20k images. I cannot host this on cloud, need this to be on-premise

Can you please suggest a custom build and if such a build is not possible, what kind of system configurations will be needed to scale up to that level ?

Update :- I will try running the docker container in a kubernetes cluster and see if that can help me in solving the scaling issue.

Thank you.

To improve performance on huge images, we resize it before face detection. The downside of this is that small faces could be not recognized.

Some users complain that we do not catch too small faces in their 1080p camera.

We need to make resizing a configurable variable, so users choose if we need to resize at all, or what resize to apply

Here is where we init the variable in Python: https://github.com/exadel-inc/CompreFace/blob/c44c92eaea31798f8e68c91acc36144d3b8ab411/embedding-calculator/src/constants.py#L24

So basically all we need is to add the "IMG_LENGTH_LIMIT" environment variable to docker-compose and then add it to .env file

Describe the bug Getting this error message when logging in for the first time and trying to add a service to a new application in the UI

To Reproduce Steps to reproduce the behavior:

1. Go to localhost:8000
2. Log in
3. Create a new application
4. Click on it and wait for service synchronisation (I assume, because it has never gone further than this)
5. Error message appears

Expected behavior I would expect that a list of services would appear - e.g. face recognition, face detection, etc

Screenshots

Desktop (please complete the following information):

• OS: Windows 10
• Browser Chrome
• Version 92.0.4515.159 (Official Build) (64-bit)

Additional context the compreface-core docker image doesnt seem to be listening on port 3000. docker compose pulls and extracts all containers with no errors. this is the SubCenter-ArcFace-r100-gpu custom-build

Describe the bug Initially, mobilenet-gpu version appears to work in the GUI and I can successfully test my recognition application in the GUI using a stock photo. However, once I try to connect double-take to it using the url + key, it stalls and I receive errors in the compreface logs.

notes -same behavior if I use Unraid single container version -compreface regular version works fine with double-take in both single container version and docker-compose version -same behavior with internal or external db -same behavior with arcface gpu version

Hardware/OS Unraid 6.10-rc2 (docker-compose plugin) Nvidia Driver: 495.46 (patched) GTX 1050Ti Ryzen 9 3900X w/64MB RAM

initial GUI test works and subsequent tests work

then the double-take api connection fails

nvidia-smi:

docker logs: compreface-db.txt compreface-ui.txt compreface-admin.txt compreface-api.txt compreface-core.txt

.env: registry=exadel/ postgres_username=postgres postgres_password=postgres postgres_db=frs postgres_domain=compreface-postgres-db postgres_port=5432 email_host=smtp.gmail.com email_username= email_from= email_password= enable_email_server=false save_images_to_db=true compreface_api_java_options=-Xmx8g compreface_admin_java_options=-Xmx8g ADMIN_VERSION=0.6.1 API_VERSION=0.6.1 FE_VERSION=0.6.1 CORE_VERSION=0.6.1-mobilenet-gpu

docker-compose: docker-compose.zip

Describe the bug When a user doesn't have any applications, he sees the "Create Application" title instead of "Applications"

To Reproduce Steps to reproduce the behavior:

1. Install and run CompreFace
2. Navigate to http://localhost:8000/login
3. Click "Sign up"
4. Fill out the required fields -> Sign up
5. Login with just created account
6. Open the "Demo" application
7. Click "delete" icon on the top right corner
8. Confirm, you will be redirected to the main page
9. Check the title for the application section

Actual result: The title is "Create Application"

Expected behavior The title should be "Applications"

Describe the bug Unable to log in on the UI interface, it was normal before. But the core functions are normal, I still can call the previous api-key through python-sdk.

To Reproduce Steps to reproduce the behavior:

1. Go to http://localhost:8000/login
2. Click on Lonin
3. See error

Error log

172.18.0.1 - CommonClientId [10/Mar/2022:07:39:21 +0000] "POST /admin/oauth/token HTTP/1.1" 502 552 "http://localhost:8000/login" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/99.0.4844.51 Safari/537.36"

2022/03/10 07:39:21 [error] 22#22: *1 connect() failed (111: Connection refused) while connecting to upstream, client: 172.18.0.1, server: ui, request: "POST /admin/oauth/token HTTP/1.1", upstream: "http://172.18.0.5:8080/oauth/token", host: "localhost:8000", referrer: "http://localhost:8000/login"

Screenshots

Desktop (please complete the following information):

• OS: Win10
• Browser chrome

Hi, I have installed compreFace locally and I created user but there is no login controller at all, Do I have to create it by myself because I want to create an app and get ApiKey but it requires jwt token if I am not mistaken because it says oops something went wrong

Describe the bug incompatible types: com.exadel.frs.core.trainservice.dto.FindFacesResultDto cannot be converted to com.exadel.frs.core.trainservice.dto.FacePredictionResultDto

error occurs when we want to build the java project on this class : FacesMapperImpl

[ERROR] Failed to execute goal org.apache.maven.plugins:maven-compiler-plugin:3.8.1:compile (default-compile) on project frs-core-app: Compilation failure [ERROR] /workspace/compreface/api/target/generated-sources/annotations/com/exadel/frs/core/trainservice/mapper/FacesMapperImpl.java:[250,45] incompatible types: com.exadel.frs.core.trainservice.dto.FindFacesResultDto cannot be converted to com.exadel.frs.core.trainservice.dto.FacePredictionResultDto

it seems the map structur automatic mapper is not working

To Reproduce Steps to reproduce the behavior:

clone master branch and try to build java project

java 11 or java 18

Expected behavior Build works

Describe the bug Incorrect error during changing password

To Reproduce Go to http://localhost:8000/login Log in to the application Click on account icon -> Changes password Enter an incorrect password with less than 8 chars into the "Old password" field Enter a valid password (e.g., qwerty123) into "New password" and "Confirm password" fields Click "Change"

Actual result: Error message is "Validation for field oldPassword failed: User's old password is incorrect"

Expected behavior Error message should be "User's password is incorrect"

I can login as user but the system does not recognize admin email/password

To Reproduce on Debian Linux error

1. Fresh install of Docker 20.10.8 and Dockers-compose 1.29.2
2. Fresh install of CompreFace version 0.5.1
3. Menu does not have demo option anymore
4. Create login admin( 1rst time for admin )
5. Create login user
6. Login atempt from admin - error - "E-mail or Password is incorrect"
7. Login atempt from user - no error (but no option to create app)

Desktop

• OS: Kali Linux Debian 64 bit 2021.1 amd64
• Browser FireFox 78.7esr 64bit

Describe the bug I noticed that Double Take was not connecting to Compreface all of a sudden. I went into my App and noticed that I just had a loading spinner where my services should be. I can add a new service, but after refreshing the section is blank with a loading spinner.

To Reproduce Steps to reproduce the behavior:

1. Go to 'xxx.xxx.xx.xx:8000'
2. Click Application
3. Services just has a loading spinner

Expected behavior Services should load what was previously set up.

Screenshots Attached

Desktop (please complete the following information):

• OS: Windows 11
• Browser: Chrome
• Version: Not sure

[uWSGI] getting INI configuration from uwsgi.ini *** Starting uWSGI 2.0.19 (64bit) on [Thu Jan 5 03:41:08 2023] *** compiled with version: 10.2.1 20210110 on 10 April 2022 08:56:46 os: Linux-5.18.15-1.el7.elrepo.x86_64 #1 SMP PREEMPT_DYNAMIC Thu Jul 28 09:26:15 EDT 2022 nodename: 6f570f371950 machine: x86_64 clock source: unix detected number of CPU cores: 4 current working directory: /app/ml detected binary path: /usr/local/bin/uwsgi !!! no internal routing support, rebuild with pcre support !!! setgid() to 33 setuid() to 33

Hi, for some reason when trying to run with GPU I get the following error:

ERROR [internal] load metadata for docker.io/library/compreface-core-ba 0.6s [internal] load metadata for docker.io/library/compreface-core-base:base-cuda100-py37: failed to solve with frontend dockerfile.v0: failed to create LLB definition: pull access denied, repository does not exist or may require authorization: server message: insufficient_scope: authorization failed ERROR: Service 'compreface-core' failed to build : Build failed

Here's how to reproduce: Clone the repository Go to dev Run "docker-compose -f docker-compose-gpu.yml up -d"

Am I doing anything wrong ? Thanks a lot anyway, CPU only is awesome (aside from the speed)

Describe the bug When attempting to make a curl request in terminal I get the following response:

{
  "message" : "Required part file is missing",
  "code" : 34
}

To Reproduce Steps to reproduce the behavior:

run this in a terminal:

curl -X POST http://localhost:8000/api/v1/recognition/recognize -H "x-api-key: 6b9cca31-a5fe-xxxx-xxxx-6373513a1f83" -H "Content-Type: multipart/form-data" -F file=person_1.jpg

What am I doing wrong? I am trying to implement this API call in Python and am getting a 400 instead of a 200 and a result.

Even though i use arcnet-cpu, and det-threshold of 98, i still get mislabeled faces outside. Partly this might be from needing more pictures (have about 80-100 per person, from different angles/light/etc) and partly because the resolution is to low (using 1080P) when viewed from far away.

Seriously thinking about upgrading to 4K cameras. Going from substream to main stream was such a big difference, and my inference speed event went down to 10ms on the coral TPU.

Describe the bug A clear and concise description of what the bug is.

An error occurs when trying to run compreface_webcam_recognition_demo.py on Desktop machine while CompreFace docker compose is run on server side.

To Reproduce Steps to reproduce the behavior:

1. Run docker-compose up on server side
2. Obtain server IP address
3. Test UI on desktop machine (works well)
4. Run compreface_webcam_recognition_demo.py on desktop machine.
5. See error

Expected behavior A clear and concise description of what you expected to happen.

Webcam demo for face recognition to work as usual while docker container is run on server side.

Screenshots If applicable, add screenshots to help explain your problem.

Desktop (please complete the following information):

• OS: [e.g. iOS] Windows
• Browser [e.g. chrome, safari] Chrome
• Version [e.g. 22]

Additional context Add any other context about the problem here.

The webcam turns on, detects my face and draws the bounding box then it gets stuck and exits with the following error message shown:

Traceback (most recent call last):
  File "C:\Users\Abuelgasim\miniconda3\envs\compreface\lib\site-packages\requests\models.py", line 971, in json
During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File ".\compreface_webcam_recognition_demo.py", line 141, in <module>
    threaded_camera.update()
  File ".\compreface_webcam_recognition_demo.py", line 133, in update
    data = self.recognition.recognize(byte_im)
  File "C:\Users\Abuelgasim\miniconda3\envs\compreface\lib\site-packages\compreface\service\recognition_service.py", line 68, in recognize
    return self.recognize_face_from_images.execute(request, self.options if options == {} else options)
  File "C:\Users\Abuelgasim\miniconda3\envs\compreface\lib\site-packages\compreface\use_cases\recognize_face_from_image.py", line 37, in execute
    result: dict = self.recognize_face_from_image.post(
  File "C:\Users\Abuelgasim\miniconda3\envs\compreface\lib\site-packages\compreface\client\recognize_face_from_image.py", line 63, in post
    return result.json()
  File "C:\Users\Abuelgasim\miniconda3\envs\compreface\lib\site-packages\requests\models.py", line 975, in json
    raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)