Deployment bugs fixed

Bugs fixed during deployment

v0.5.4

Build version 0.5.4

WebServer

• added nginx

Front

• added the ability to add custom algorithms
• processing of API requests has been changed

Django
ADDED:

• downloading algorithms from docker hub
• changed paths auth -> api/auth
• getting the version of the algorithms
• working in debug mode
• uniqueness of name and image_name in the algorithm model
• new parameter for running link_reports algorithms

FIX BAG:

• notification
• obtaining item status
• stopping algorithms
• task celery

Algorithms-controller:

• added the ability to add custom algorithms
• downloading algorithms from docker hub

Machine Control JS

• changed model

Min_Max
v0.6.0

• changed yolo8 model on yoloNAS model
• returned checking boxes in area by center coordinates

Machine control Python
v1.3.5

• updated model to yolov8m
• updated Alg of machine control
• added day lib for MC_model for parallelizing calcucation
• updated thresholds for intersection between human box and zone box
• updated thresholds for human detection

v0.5.3

Build version 0.5.3

Front

• Implemented zone of item in minmax items

Django
Added:

• item validatio
• session authorization
• basic authorization
  Fixed:
• camera algorithm serializers
• items serializers
• settings swagger

Machine Control JS
v0.5.0

• feat: yolo-nas-onnx+opencv-js
• fix: detect without workers
• fix: scope-based variable for report photos
• add debug env

Min_Max
v0.5.3

• added structural similarity threshold
• minor config changes

Machine control Python
v1.3.3

• updated model
• bug fix with camera error load image
• bug fix with zones
• trained model

Idle
v0.5.3

• increase probability threshold

v0.5.2

Build version 0.5.2

Front

• Added logout functions
• The approach to certain user interface capabilities has been revised.

Django
Added:

• work with custom algorithms
• authorization via token in SWAGGER
  Fixed:
• receiving all items from ODOO
• bug with falling algorithm

Machine Control JS
v0.4.0

• feat: get snapshots from sockets
• feat: more accurate model
• fix: 2 and 3 with red zone
• fix: don't send report if person not exist at container startup
• refactor: extract Reports and Translation to common inference-server-js

Min_Max
v0.5.2

• changed human detection model
• changed bottle detection model

v0.5.0

• revert to requests lib

Machine control Python
v1.3.2

• timer to get image request
• processing empty pictures
• updated model
• httplib2 replaced by request
• refactoring code

Idle
v0.5.0

• rewrite on requests lib

v0.5.1

Build version 0.5.1

Django

• fixed bugs with database connector
• added notification from 5controlS MinMax to chat ODOO

Machine Control JS
v0.2.0

• feat: new Detector with ONNX and Yolo-NAS
• feat: multiple zones

Min_Max
v0.4.7

• fixed bug with min max algorithm bottles aren't detected
• added SSIM value threshold

Machine control Python
v1.3.1

• fixed bug with machine control

0.5.0

Build version 0.5.0

Front:

• Implimented system check information

Django

• fixed bugs

Algorithms-controller:

• Task manager has been added

Idle:
v0.4.6:

• expanded logs
• saving debug images

Machine_Control_Js:v0.1.0

v0.4.9

Build version 0.4.9

Front:

• Implemented the connection with Odoo and the ability to switch (database / Odoo) in the order view.
• The design of the modal window with the database has become more modern.

Django
bug fixed:

• zones with zero values
• start machine_control with zones
• added connector to ODOO

Idle:
v0.4.5:

• increased proba threshold
• added numba optimization

Min_Max:
v0.4.6:

• increased probability threshold for boxes
• expanded logs
• fixed bug with no zones regime
• fixed bug red lines type of item has 3 statuses instead of 2

Machine:
v1.3.0

• Fixed bug with machine control

v0.4.8

Build version 0.4.8

Front:
fixed bugs

Django
fixed bugs

MinMax:
v0.4.5:

• fixed bug with incorrect task key values
• added expanded logs

v0.4.7

Build version 0.4.7

Front:
fix bugs
Django
fix bugs
Idle:
v0.4.4
fixed bug with big number predicted boxes
enhanced model

MinMax:
v0.4.4:
enhanced model for bottle detection
fixed bug filter for detecting red line in reports with type of object "bottles" #12
enhanced model for human detection

Machine:
v1.2.9

v0.4.6

Build version 0.4.6

Front:

• Implement choise(bottle, box, red Line)

Django

• Minor fixes

Idle:
v0.4.3

• changed model for phone detection

MinMax:
v0.4.3:

• changed model for detecting bottles

Machine:
v1.2.5

• Intersection Ratio: bug_fix
• Updated capture time between images
• Updated README and remove legacy code

Operation:
v1.0.0-rc.6

• getting a new snapshot on a socket
• adaptation to the new debug environment