arnasdev / arnasdev/Unity-YOLO2-Object-Detection

Not the same objects detected

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主要語言
C#
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描述

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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研究方向

首先使用提到的 yolo-voc.weights 和 yolo-voc.cfg 檔案,將 Unity 2018 專案的輸出與連結的 OpenCvSharp DNN with YOLO2 參考進行比較。檢查 Unity 執行時偵測到的物件較少的原因,包括缺少的 cycle,並使用提供的影像重現這項差異。當兩個專案都能一致地偵測到相同的物件時,即視為完成。

由索引模型根據 Issue 內容生成。

評估

技術堆疊
csharp, unity
領域
computer-vision, game-dev
Issue 類型
缺陷
難度
4/5
預估耗時
3-5 天
活躍度
停滯
描述清晰度
需要釐清
新手友好度
25/100

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