5sControl / 5sControl/min-max

fix bug there is a person on minmax's reports

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#31 0 commentaires 0 réactions 1 personne assignée Réclamée par @eugenos-programos Voir sur GitHub
bug
Langage dominant
Python
Étoiles
3
Forks
1
Métriques de merge des PR
Aucune PR mergée en 30 j

Description

В кадре находится человек в репортах по минмаксу

Environment:
build v0/5/3
minmax 0/5/3

Precondition:
Пользователь авторизован
Добавлена камера
открыта страница "Inventory"
Создан айтем

STR:
1. Кликнуть по айтему
2. Просмотреть репорты

ER:
На снепшотах репорта МинМакс нету человека

AR:
На снепшотах репорта МинМакса есть человек

Attachments:

![Image](https://github.com/5sControl/min_max_python/assets/122295113/f4073570-28cb-4dbe-b6a6-c57a0ad7c574)

![Image](https://github.com/5sControl/min_max_python/assets/122295113/ccf89056-60a3-4c1f-b8e9-5a60d27d639b)

![Image](https://github.com/5sControl/min_max_python/assets/122295113/a2bd1a09-1ae8-449b-a714-cfdd740a1633)

![Image](https://github.com/5sControl/min_max_python/assets/122295113/6682d12a-50da-4cd4-a8f1-0c5170298491)

![Image](https://github.com/5sControl/min_max_python/assets/122295113/0862a5ea-ef7a-4e35-bc27-2faa54d4b216)

![Image](https://github.com/5sControl/min_max_python/assets/122295113/2a2f3b96-e45a-47e1-b332-9561c29e49e1)

![Image](https://github.com/5sControl/min_max_python/assets/122295113/020e629d-fb4e-4111-bd5d-4cbfd0c83ca8)

Guide de contribution

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Piste de recherche

The issue describes a bug where a person appears in min-max report snapshots, which should not happen. The repository is about inventory management using computer vision. Look at the report generation code, likely in a module handling snapshots or min-max analysis. Check the image processing or filtering steps to see how person detection or background subtraction is handled. The expected result is snapshots without a person, so verify the current snapshot capture logic and any object detection/segmentation models used.

Rédigé par le modèle d'indexation à partir du texte de l'issue.

Évaluation

Stack technique
machine-learning, python
Domaine
computer-vision, machine-learning
Type d'issue
Bug
Difficulté
4/5
Temps estimé
3-5 jours
Activité
À l'abandon
Clarté
Plutôt claire
Accessibilité débutants
35/100

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