importtorchimportkorniaimportmatplotlib.pyplotasplt# 定义仿射矩阵(平移、旋转等)theta=torch.tensor([[[1.0,0.0,0.1],[0.0,1.0,0.1]]])# 平移 0.1 单位# 生成仿射变换网格grid=kornia.utils.create_meshgrid(256,256,normalized_coordinates=True)# 执行仿射变换transformed_image=kornia.warp_affine(image_tensor,...
def create_meshgrid( height: int, width: int, normalized_coordinates: Optional[bool] = True, align_corners: Optional[bool] = True, device: Optional[torch.device] = torch.device("cpu") ) -> torch.Tensor: ... if normalized_coordinates: if align_corners: # leave current logic else: # he...
Fix bug in create_meshgrid3d along depth (#1330) Fix anisotropic scale error (#1340) Fix rgb_to_hsv for onnx (#1329) Fixed useless return in ransac.py (#1352) Fixed classificationhead typo and leave out some of the guesswork (#1354) Fix clahe differentiability and tests (#1356) Fixes...