![]() ![]() Multiplies all the matrices returned by aff_fs before doing the corresponding affine transformation on a basic grid corresponding to size, then applies all coord_fs on the resulting flow of coordinates before finally doing an interpolation with mode and pad_mode. Output size, duplicated if one value is specifiedĬalls affine_coord behaviors for TensorImage, TensorMask, TensorPoint, and TensorBBox Pad_mode='reflection', mode_mask='nearest',Ĭombine and apply affine and coord transformsĪffine transformations function for a batchĬoordinate transformations function for a batch Source AffineCoordTfm AffineCoordTfm (aff_fs:callable|MutableSequence=None, Generates TensorFlowField from a transformation affine matrices theta Source affine_grid affine_grid (theta:torch.Tensor, size:tuple, align_corners:bool=None) On the validation set, we center crop the image if it’s ratio isn’t in the range (to the minmum or maximum value) then resize.Īffine_coord allows us to much more easily work with images, by allowing us to specify much smaller mat, by comparison to grids, which require us to specify values for every pixel. The crop picked as a random scale in range (min_scale,max_scale) and ratio in the range passed, then the resize is done with resamples for images and resamples for segmentation masks. Maximum scale of the crop, in relation to image area The ratio of size at the edge cropped out in the validation set Pillow Image resample mode, resamples for mask Minimum scale of the crop, in relation to image area Picks a random scaled crop of an image and resize it to sizeįinal size, duplicated if one value is specified, ![]() ![]() When doing the resize, we use resamples for images and resamples for segmentation masks. Depending on the method: - we squish any rectangle to size - we resize so that the shorter dimension is a match and use padding with pad_mode - we resize so that the larger dimension is match and crop (randomly on the training set, center crop for the validation set) Size can be an integer (in which case images will be resized to a square) or a tuple. Pillow Image resamples mode, resamples for mask Size to resize to, duplicated if one value is specified Pad_mode:PadMode='reflection', resamples=(, ), **kwargs)Ī transform that before_call its state at each _call_ Source Resize Resize (size:int|tuple, method:ResizeMethod='crop', ![]()
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