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Hi,

I am working skeletonisation. In preprocessing, I have to find the human mask from the RGB images by using cnn or any other machine learning techniques. I want to extract only person area. C:\fakepath\Unbenannt.PNGThe mask should be sharper. It will be great , if you suggest any documentation or techniques.

thanks.

Hi,

I am working skeletonisation. In preprocessing, I have to find the human mask from the RGB images by using cnn or any other machine learning techniques. I want to extract only person area. C:\fakepath\Unbenannt.PNGThe mask should be sharper. It will be great , if you suggest any documentation or techniques.techniques. (I tired K means clustering, superpixel grouping , gradient techniques but unable to extract accurate mask. )

thanks.

Hi,

I am working skeletonisation. In preprocessing, I have to find the human mask from the RGB images by using cnn or any other machine learning techniques. I want to extract only person area. C:\fakepath\Unbenannt.PNGThe mask should be sharper. It will be great , if you suggest any documentation or techniques. (I tired tried K means clustering, superpixel grouping , gradient techniques but unable to extract accurate mask. )

thanks.

Hi,

I am working skeletonisation. In preprocessing, I have to find the human mask from the RGB images by using cnn or any other machine learning techniques. I want to extract only person area. C:\fakepath\Unbenannt.PNGThe mask should be sharper. It will be great , if you suggest any documentation or techniques. (I tried K means clustering, superpixel grouping , gradient techniques but unable to extract accurate mask. )

thanks.

Hi,

I am working skeletonisation. In preprocessing, I have to find the human mask from the RGB images by using cnn or any other machine learning techniques. I want to extract only person area. C:\fakepath\Unbenannt.PNGThe mask should be sharper. It will be great , if you suggest any documentation or techniques. (I tried K means clustering, superpixel grouping , gradient techniques but unable to extract accurate mask. )

thanks.