example image, if the driver value is 2.0 the property value will be 0.5. The default F-Curve is an identity map, i.e. the value produced by the driver configuration is applied to the driven property unchanged default values if images were given to those inputs. The default values are those that are considered identity and thus have no effect on the output, so for the Transform node, the X, Y, and Angle inputs will size, but also by their transformation in that space, much like 3D objects have transformations. An identity transformation represents an image that is centered in space. The rectangular area occupied by an

example image, if the driver value is 2.0 the property value will be 0.5. The default F-Curve is an identity map, i.e. the value produced by the driver configuration is applied to the driven property unchanged default values if images were given to those inputs. The default values are those that are considered identity and thus have no effect on the output, so for the Transform node, the X, Y, and Angle inputs will size, but also by their transformation in that space, much like 3D objects have transformations. An identity transformation represents an image that is centered in space. The rectangular area occupied by an

example image, if the driver value is 2.0 the property value will be 0.5. The default F-Curve is an identity map, i.e. the value produced by the driver configuration is applied to the driven property unchanged default values if images were given to those inputs. The default values are those that are considered identity and thus have no effect on the output, so for the Transform node, the X, Y, and Angle inputs will size, but also by their transformation in that space, much like 3D objects have transformations. An identity transformation represents an image that is centered in space. The rectangular area occupied by an

example image, if the driver value is 2.0 the property value will be 0.5. The default F-Curve is an identity map, i.e. the value produced by the driver configuration is applied to the driven property unchanged default values if images were given to those inputs. The default values are those that are considered identity and thus have no effect on the output, so for the Transform node, the X, Y, and Angle inputs will size, but also by their transformation in that space, much like 3D objects have transformations. An identity transformation represents an image that is centered in space. The rectangular area occupied by an

example image, if the driver value is 2.0 the property value will be 0.5. The default F-Curve is an identity map, i.e. the value produced by the driver configuration is applied to the driven property unchanged default values if images were given to those inputs. The default values are those that are considered identity and thus have no effect on the output, so for the Transform node, the X, Y, and Angle inputs will size, but also by their transformation in that space, much like 3D objects have transformations. An identity transformation represents an image that is centered in space. The rectangular area occupied by an

example image, if the driver value is 2.0 the property value will be 0.5. The default F-Curve is an identity map, i.e. the value produced by the driver configuration is applied to the driven property unchanged default values if images were given to those inputs. The default values are those that are considered identity and thus have no effect on the output, so for the Transform node, the X, Y, and Angle inputs will size, but also by their transformation in that space, much like 3D objects have transformations. An identity transformation represents an image that is centered in space. The rectangular area occupied by an

example image, if the driver value is 2.0 the property value will be 0.5. The default F-Curve is an identity map, i.e. the value produced by the driver configuration is applied to the driven property unchanged default values if images were given to those inputs. The default values are those that are considered identity and thus have no effect on the output, so for the Transform node, the X, Y, and Angle inputs will size, but also by their transformation in that space, much like 3D objects have transformations. An identity transformation represents an image that is centered in space. The rectangular area occupied by an

of zero. See Invertible matrix for more information. Important When a matrix is invertible, the identity matrix is returned. 查看源 查看译⽂ 报告本页⾯的问题 矩阵相乘 The Multiply Matrices node performs a matrix multiplication default values if images were given to those inputs. The default values are those that are considered identity and thus have no effect on the output, so for the Transform node, the X, Y, and Angle inputs will size, but also by their transformation in that space, much like 3D objects have transformations. An identity transformation represents an image that is centered in space. The rectangular area occupied by an

default values if images were given to those inputs. The default values are those that are considered identity and thus have no effect on the output, so for the Transform node, the X, Y, and Angle inputs will size, but also by their transformation in that space, much like 3D objects have transformations. An identity transformation represents an image that is centered in space. The rectangular area occupied by an following sections. 输⼊节点 The operation domain of input nodes like the Image node is a domain with an identity transformation and the same size as their outputs, so for the Image node, the operation domain will

default values if images were given to those inputs. The default values are those that are considered identity and thus have no effect on the output, so for the Transform node, the X, Y, and Angle inputs will size, but also by their transformation in that space, much like 3D objects have transformations. An identity transformation represents an image that is centered in space. The rectangular area occupied by an following sections. 输⼊节点 The operation domain of input nodes like the Image node is a domain with an identity transformation and the same size as their outputs, so for the Image node, the operation domain will