Closed austingg closed 5 years ago
Hello, for examining and improving the quality of matting data, we surpply matting images. Users can read matting images and then create alpha file. in_image = cv2.imread('png图像文件路径', cv2.IMREAD_UNCHANGED) alpha = in_image[:,:,3] cv2.imwrite('png格式的alpha文件路径', alpha)
@aisegmentcn Yes, I knew the matting image was in the alpha channel.
If you separate RGB image and mask channel into two file, e.g (one example is consist of image1.jpg, and image1.png [matting mask]), both of them would get a better compress rate, may be smaller than 10G. That will be helpful for downloading and transporting the dataset.
In a nutshell, png format is much larger than jpg format.
Firstly, great dataset!
How about saving image and mask respectively, since the dataset is more than 14G now? the image part can be compressed a lot with jpg compared with png, the mask is saved to a single channel png.