- Nov 21 Mon 2022 08:09
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IPCAMERA處理一些處理注意事項
- Oct 08 Sat 2022 09:15
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計算旋轉角度水平垂直偏移
- Sep 29 Thu 2022 16:55
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創建.Net6類別庫for EmguCV
- Sep 29 Thu 2022 15:27
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Create EmguCV Applications on .Net 6
- Aug 14 Sun 2022 10:14
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安裝EmguCV4.5.5
- Jul 17 Tue 2018 10:52
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在Azure上通过asp.net使用EmguCV
- Jan 09 Tue 2018 19:58
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Image Blending and Management of Regions of Interest (ROI)

The following is an example[1] of image blending, which seamlessly combines two different images by using the mask of itself. About half a year ago, I studied something about how to mange multiple ROIs(region of interest) as shown below. Today I am planing to combine both of them in order to meet my new requirements.
- Nov 28 Tue 2017 13:05
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Face Swap Using Emgu CV
- Sep 01 Fri 2017 10:08
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安裝Emgu TF 1.3.0 行人偵測測試
- May 27 Sat 2017 22:00
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C# Multiple Regions of interest Editor

目前功能 1. 可以新增多個ROI(region of interest) 2. 每個ROI可以編輯大小, 八個控制點, 可以任意拖拉 3. ROI左上角開始編號, 逆時針方向0~7號, 經過拖拉控制點改變相對位置後,所有控制點編號會保持一致, 自動更新正確的相對編號 4. 圖層關係, 最新繪製的ROI會在最上層
- May 17 Wed 2017 11:28
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EmguCV - C# / Convert Bitmap to Mat
1: public Mat ConvertBitmapToMat(Bitmap bmp)
2: {3: // Lock the bitmap's bits.
4: Rectangle rect = new Rectangle(0, 0, bmp.Width, bmp.Height);
5: 6: System.Drawing.Imaging.BitmapData bmpData = 7: bmp.LockBits(rect, System.Drawing.Imaging.ImageLockMode.ReadWrite, 8: bmp.PixelFormat); 9: 10: // data = scan0 is a pointer to our memory block.
11: IntPtr data = bmpData.Scan0; 12: 13: // step = stride = amount of bytes for a single line of the image
14: int step = bmpData.Stride;
15: 16: // So you can try to get you Mat instance like this:
17: Mat mat = new Mat(bmp.Height, bmp.Width, Emgu.CV.CvEnum.DepthType.Cv32F, 4, data, step);
18: 19: // Unlock the bits.
20: bmp.UnlockBits(bmpData); 21: 22: return mat;
23: }
- Jan 30 Mon 2017 16:57
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安裝EmguCV 3.1.0.2504

安裝3.1.0.2504版本C:\Emgu\emgucv-windesktop 3.1.0.2504---------------------------(2) 安裝 emgucv-windesktop-tbb-ipp-icc 3.1.0.2504加速版本C:\Emgu\emgucv-windesktop-tbb-ipp-icc 3.1.0.2504兩個版本差異 x64資料夾 兩個版本在bin資料夾下是一樣的!!很可惜,下面幾張圖是加速的版本跑出來的結果,似乎跟原本跑出來的速度差不多,有些甚至跑不贏原本未加速前,IPP-TBB-ICC版本真是出乎我意料之外@@






