image-resizing

问题 I have a tiff image of size 21 X 513 X 513 where (513, 513) is the height and width of the image containing 21 channels. How can I resize this image to 21 X 500 X 375? I am trying to use PILLOW to do so. But can't figure out if I am doing something wrong. >>> from PIL import Image >>> from tifffile import imread >>> img = Image.open('new.tif') >>> img <PIL.TiffImagePlugin.TiffImageFile image mode=F size=513x513 at 0x7FB0C8E5B940> >>> resized_img = img.resize((500, 375), Image.ANTIALIAS) >>>

来源： https://stackoverflow.com/questions/45707202/reducing-size-of-the-image-at-client-side-in-javascript-before-form-submission

来源： https://stackoverflow.com/questions/45707202/reducing-size-of-the-image-at-client-side-in-javascript-before-form-submission

来源： https://stackoverflow.com/questions/45707202/reducing-size-of-the-image-at-client-side-in-javascript-before-form-submission

来源： https://stackoverflow.com/questions/61164005/why-do-pdfs-resized-in-swiftui-getting-sharp-edges

来源： https://stackoverflow.com/questions/61164005/why-do-pdfs-resized-in-swiftui-getting-sharp-edges

来源： https://stackoverflow.com/questions/61164005/why-do-pdfs-resized-in-swiftui-getting-sharp-edges

来源： https://stackoverflow.com/questions/61164005/why-do-pdfs-resized-in-swiftui-getting-sharp-edges

问题 I want to resize(downscale) the ground truth 3d images of brain tumor segmentation. Here are some g.t. + brain images: G.t. images are 3d numpy array and consist of only 0 and 1 value(only green voxel and black voxel, brain is not included in g.t. image). def resize(img, shape, mode='nearest', orig_shape=None, order=3): """ Wrapper for scipy.ndimage.zoom suited for MRI images. """ if orig_shape == None: orig_shape = img.shape assert len(shape) == 3, "Can not have more than 3 dimensions"

问题 In my reactJs project, I need to resize image before uploading it. I am using react-image-file-resizer library which has a simple example but not working for me. I have tried this but its shows me blank result. What am I doing wrong? var imageURI = ''; const resizedImg = await Resizer.imageFileResizer( fileList.fileList[0].originFileObj, 300, 300, 'JPEG', 100, 0, uri => { imageURI = uri console.log(uri ) // this show the correct result I want but outside of this function }, 'blob' ); console