arnasdev / arnasdev/Unity-YOLO2-Object-Detection

Not the same objects detected

未关闭
#4 1 条评论 0 个 reaction 已指派 0 人 在 GitHub 查看
主要语言
C#
星标
6
派生
1
PR 合并指标
30 天内没有已合并 PR

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.

贡献指南

这个仓库没有索引到贡献指南

调研方向

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.

由索引模型根据 Issue 内容生成。

评估

技术栈
csharp, unity
领域
computer-vision, game-dev
Issue 类型
缺陷
难度
4/5
预计耗时
3-5 天
活跃度
停滞
描述清晰度
需要澄清
新手友好度
25/100

把新 issue 发到你的邮箱

精选适合新手参与的 GitHub issue 摘要。