projection

问题 Lets consider these entities @Entity public class Room{ @Id private Integer id; private String number; private String floor; @ManyToOne private RoomType roomType; // Setters & Getters } @Entity public class RoomType{ @Id private Integer id; private String name; private String description; private Boolean enabled; // Setters & Getters } And also this interface for projection alongside repository class public interface RoomList{ public Number getId(); public String getNumber(); public RoomType

问题 Lets consider these entities @Entity public class Room{ @Id private Integer id; private String number; private String floor; @ManyToOne private RoomType roomType; // Setters & Getters } @Entity public class RoomType{ @Id private Integer id; private String name; private String description; private Boolean enabled; // Setters & Getters } And also this interface for projection alongside repository class public interface RoomList{ public Number getId(); public String getNumber(); public RoomType

问题 I hame some image with plane which have perspective transform. I need to detect center of each white rhombus or rhombus itself. Here is examples: As I unserstand the problem can be solved by simple template matching if we rectify image, but I need to do it automatically. Is there any functions in OpenCV suitable for this task? Any other ideas? 回答1: Here are two quick tests I just did without correcting the perspective issue. Pure mathematical morphology : Extract the red channel Big white top

问题 I am trying to modify this custom-projection example: http://matplotlib.org/examples/api/custom_projection_example.html to display a Schmidt plot. The mathematics behind the projection are explained e.g. here: https://bearspace.baylor.edu/Vince_Cronin/www/StructGeol/StructLabBk3.html I made some modifications of the example which brought me closer to the solution but I am still doing something wrong. Anything I change within the function transform_non_affine makes the plot look worse. It

问题 I am trying to modify this custom-projection example: http://matplotlib.org/examples/api/custom_projection_example.html to display a Schmidt plot. The mathematics behind the projection are explained e.g. here: https://bearspace.baylor.edu/Vince_Cronin/www/StructGeol/StructLabBk3.html I made some modifications of the example which brought me closer to the solution but I am still doing something wrong. Anything I change within the function transform_non_affine makes the plot look worse. It

问题 It's difficult to tell what is being asked here. This question is ambiguous, vague, incomplete, overly broad, or rhetorical and cannot be reasonably answered in its current form. For help clarifying this question so that it can be reopened, visit the help center. Closed 7 years ago . I'm trying to plot 3D points onto a 2D surface (I'm currently working with SDL.NET as my 'game engine'). The surface will be 800x400 pixels in size and the 3d coordinates will range from -4000 to 4000. My view

问题 I'm trying to do something similar to this 3D example from the docs, but with a point cloud instead of a smooth surface. The example projects 2D contours onto each of the three coordinate planes. This shows that I'm able to do that onto the xy-plane. When I try doing the same onto the other two planes, I get either a weird contour collapsed down to a thin strip, or an exception way beyond my reach in the bowels of matplotlib . Traceback (most recent call last): File ".../matplotlib/backends

问题 I'm trying to do something similar to this 3D example from the docs, but with a point cloud instead of a smooth surface. The example projects 2D contours onto each of the three coordinate planes. This shows that I'm able to do that onto the xy-plane. When I try doing the same onto the other two planes, I get either a weird contour collapsed down to a thin strip, or an exception way beyond my reach in the bowels of matplotlib . Traceback (most recent call last): File ".../matplotlib/backends

问题 I tried to understand the mathematics behind the projection matrix and I found this page. The matrix from this page: I found this matrix is similar to the matrix of Xna. I understood how they got to m33 and m44 columns of the matrix, but how they got to m11 and m22? And I didn't understand why I have to give the aspect ratio if I already give the field of view angle. The last thing I want to know is: what is the equation for transfaring from ndc space to window space and how they get to this

问题 This question already has answers here : Retrieve only the queried element in an object array in MongoDB collection (14 answers) MongoDb query condition on comparing 2 fields (4 answers) Closed 10 months ago . Let's say I have the following document structure: { "A": { "_id": "ID0" }, "B": [ "a": { "_id": "ID0", "field": "X" }, "b": { "_id": "ID1", "field": "Y" } ] } I want to project B matched with the _id in A . The end result would be: { "B": [ "a": { "_id": "ID0", "field": "X" } ] } I