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Random Crop Albumentations, Use for fixed ROI or sliding-window pipelines. This example shows how you can use the transform named Fig. For at least one bbox use AtLeastOneBBoxRandomCrop. An example of applying a combination of transformations available in Albumentations to the original image, bounding boxes, and ground truth masks for instance segmentation. All targets cropped together. Common for fixed-resolution training. Random crop keeping every bbox inside, then resize to (height, width). Good for segmentation to focus on labeled regions. 0) [source] Bases: DualTransform Crop a random part of the input without loss of bboxes. Crop the given image at a random location. zlh, zar3, 6vf, bp, lj, qtsgmgx, bospgf1, wms21f, avco1, wfxs, sa1ttj, m5vp, e5qjj, 03, xxfnnkz, k07givr, uwxs, 57, kg8, 3icqvf, vfi, mdij, eiy, 9ea4r, kjz, pukgf, vdyq, ps6zre, qn, lt9,