updates

utils/datasets.py

@@ -334,7 +334,7 @@ class LoadImagesAndLabels(Dataset):  # for training/testing
                             f = '%s%sclassifier%s%g_%g_%s' % (p.parent.parent, os.sep, os.sep, x[0], j, p.name)
                             if not os.path.exists(Path(f).parent):
                                 os.makedirs(Path(f).parent)  # make new output folder
-                            box = xywh2xyxy(x[1:].reshape(-1, 4)).ravel()
+                            box = xywh2xyxy(x[1:].reshape(-1, 4) * np.array([1, 1, 1.5, 1.5])).ravel()
                             b = np.clip(box, 0, 1)  # clip boxes outside of image
                             ret_val = cv2.imwrite(f, img[int(b[1] * h):int(b[3] * h), int(b[0] * w):int(b[2] * w)])
                             assert ret_val, 'Failure extracting classifier boxes'