arnasdev / arnasdev/Unity-YOLO2-Object-Detection

Not the same objects detected

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Beschreibung

Hi,
When I run this project on Unity2018 I see differences on the objects detected compared to the project you mentioned [[C#] OpenCvSharp DNN with YOLO2]( https://www.died.tw/2018/01/c-opencvsharp-dnn-with-yolo2.html ).

![rgertg](https://user-images.githubusercontent.com/33813291/56356361-f30c2380-61d8-11e9-98b7-a859db7c5612.PNG)

Every time I run the project on unity it doesn't show me the cycle detected.

But here [[C#] OpenCvSharp DNN with YOLO2]( https://www.died.tw/2018/01/c-opencvsharp-dnn-with-yolo2.html ) insted yes.

![fbbhn](https://user-images.githubusercontent.com/33813291/56356779-14b9da80-61da-11e9-9cc4-aa3eeabafe9c.PNG)

This problem is repeated with all the other images, it seems as if it cannot identify the same number of objects. I also tried to use the same "yolo-voc.weights" model and the same "yolo-voc.cfg" weights provided in the other project, but it remains the same.

Is there any solution? What I am doing wrong?

Thanks a lot.

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Rechercherichtung

Start by comparing the Unity 2018 project output with the linked OpenCvSharp DNN with YOLO2 reference, using the mentioned yolo-voc.weights and yolo-voc.cfg files. Check why the Unity run detects fewer objects, including the missing cycle, and reproduce the discrepancy on the supplied images. Done means the same objects are detected consistently in both projects.

Vom Indexierungsmodell aus dem Issue-Text verfasst.

Bewertung

Tech-Stack
csharp, unity
Bereich
computer-vision, game-dev
Issue-Typ
Bug
Schwierigkeit
4/5
Geschätzter Aufwand
3-5 Tage
Aktivitätsstatus
Veraltet
Klarheit
Muss geklärt werden
Anfängerfreundlichkeit
25/100

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