smoothing

问题 i am developing a multiplayer roleplaying game, (No, its not a mmorpg. ;) My current setup is like this. Client tells the server "I want to move forward"/"I want to move backwards", the server then updates your entity, and informs all clients in the area about the change. The server is also updating each entity every 20ms and sending updates every 100ms to the clients, these updates contains position, velocity, rotation etc. So far so good, however i have nothing in store for smoothing the

问题 When I light my human model in OpenGL using face normals it is very apparent where each face is on the model. The lighting becomes considerably smoother using vertex normals but still noticeable. Is there any technique available to smooth organic models without adding additional vertices (ex. subdivisions)? 回答1: If you are seeing single faces with per vertex normals you might have forgotten to enable smooth facing: glShadeModel(GL_SMOOTH); If that's not helping make sure all vertices with the

问题 I'm trying establish why I can't smooth shade geometry loaded with OBJLoader. var loader = new THREE.OBJLoader(manager); loader.load('/manmodel/js/man.obj', function (object, materials) { console.log(object); console.log(materials); man = object; man.traverse(function (child) { if (child instanceof THREE.Mesh) { child.geometry.computeFaceNormals(); child.geometry.computeVertexNormals( true ); child.material = new THREE.MeshPhongMaterial({ color: 'white', shading: THREE.SmoothShading // <-----

问题 I want to use the natural cubic smoothing splines smooth.spline from R in Python (like som many others want as well (Python natural smoothing splines, Is there a Python equivalent to the smooth.spline function in R, Python SciPy UnivariateSpline vs R smooth.spline, ...)) Therefore I am using rpy2 like described in https://morioh.com/p/eb4151821dc4, but I want to set directly lambda instead of spar : import rpy2.robjects as robjects r_y = robjects.FloatVector(y_train) r_x = robjects

问题 I'm trying to smooth a set of n-gram probabilities with Kneser-Ney smoothing using the Python NLTK. Unfortunately, the whole documentation is rather sparse. What I'm trying to do is this: I parse a text into a list of tri-gram tuples. From this list I create a FreqDist and then use that FreqDist to calculate a KN-smoothed distribution. I'm pretty sure though, that the result is totally wrong. When I sum up the individual probabilities I get something way beyond 1. Take this code example:

问题 I realise that there are posts on the topic of B-Splines on this board but those have actually made me more confused so I thought someone might be able to help me. I have simulated data for x-values ranging from 0 to 1. I'd like to fit to my data a cubic spline ( degree = 3 ) with knots at 0, 0.1, 0.2, ... , 0.9, 1. I'd also like to use the B-Spline basis and OLS for parameter estimation (I'm not looking for penalised splines). I think I need the bs function from the spline package but I'm

问题 Ever since Joshua Katz published these dialect maps that you can find all over the web using harvard's dialect survey, I have been trying to copy and generalize his methods.. but much of this is over my head. josh disclosed some of his methods in this poster, but (as far as I know) has not disclosed any of his code. My goal is to generalize these methods so it's easy for users of any of the major United States government survey data sets to plop their weighted data into a function and get a

问题 Ever since Joshua Katz published these dialect maps that you can find all over the web using harvard's dialect survey, I have been trying to copy and generalize his methods.. but much of this is over my head. josh disclosed some of his methods in this poster, but (as far as I know) has not disclosed any of his code. My goal is to generalize these methods so it's easy for users of any of the major United States government survey data sets to plop their weighted data into a function and get a

问题 Well in my project I create river lines from pathes . And due to my kind of big stroke-width it is very ragged : I already searched around. But the only thing I found was stroke-linejoin: round; . As you can see here: it is way better but I'm still not satisfied. Is there any way to get a really smooth line. Or let's say too have a even "rounder" linejoin ? 回答1: An interesting direction is to leverage d3.svg.line to generate paths from the coordinates of your geoJSON feature, at which point

问题 I am working on a black&white image just like the first one from the link : http://imageshack.us/g/33/firstwm.png/ It has a lot of "noise" so I applied a Median filter over it to smooth it, thus getting the second picture. cvSmooth(TempImage, TempImage, CV_MEDIAN, 5, 0); After this i get the contours and draw them on another image like the 3rd picture from the link. My problem is that the contours are still a little pixelated(edgy). Is there a way to smooth the B&W image even more so to