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now i want to drill a hole in the 3ds object i import,and if the mesh of the 3ds object within the hole, this part mesh will be delete,that mean if the surface of the object within the hole, this part will be delete,can anyone give me some suggestions?
that is :
first i import a 3ds format file,then i use a cylinder to penetrate it,So everything
belong to this 3ds file but within my cyLinder will be deleted,
for example if this 3ds file is a cube,to perforate a hole on it,the result will be a cube whose front face and back face all add a circle,
am i make the problem clear?
Thanks.
Good luck.
if i should calculate the node within the cylinder ?i don't not know the structure of the 3ds file.
it seems that i should calculate the difference of 3ds and a cylinder?
that mean i should subtract the cylinder,delete the node within the cylinder ?
am i right?
THanks.
This is a programming website then the answer is... BSP Tree.
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So I have one big mesh which models a building. I would like to chop the mesh into parts by floor and hallway to make geographically distinct "scenes" which I can cull/order before rendering to reduce render time. I used 3DS Max to "Slice" the model into various meshes however in the scene explorer it still only shows 1 object. When I export the scene to fbx and read it in Assimp it only reads in 1 mesh.
TLDR: How do I split a model in 3DS Max (or similar) such that it exports as multiple meshes which I can selectively render?
The solution is to "Slice" the model, in my case I used the Slice Plane to get clean cuts. Then To use a "Mesh Edit" modifier and "Detach" each individual component.
Here is a 3ds Max forum post asking the exact same thing. Hopefully the answer in there can be useful for you too.
https://forums.autodesk.com/t5/3ds-max-forum/split-a-mesh-into-several-meshes/m-p/5927179#M109322
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The general task is to binarize the image so that only the brightest spots remain. But adaptive binarization and the Otsu method do not give an acceptable result due to light traces (shown in the image).
I think that you need to go through the entire image with a small window that will highlight a local minimum in the area.I am counting on the fact that with the correct selection of the threshold, only light spots will remain that need to be found. It should be. But I do not know how to apply the standard opencv threshold function in sliding windows.
UPD:After the proposed adaptive threshold, the image looks like this. Not perfect, but much closer to what I need.It seems that a combination of threshold functions does not always give a better result than a single one.
This is the command:
outputimg = cv.adaptiveThreshold(img,255,cv.ADAPTIVE_THRESH_MEAN_C,cv.THRESH_BINARY,11,0)
further explanation and examples: https://docs.opencv.org/3.4/d7/d4d/tutorial_py_thresholding.html
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I need to check for complete separation. I am using SPSS and need to know what steps I have to take to get the grahpic on this site. Can someone help me?
SPSS does not provide that probability curve (SAS and Stata can do that). However, plotting the 1/0 outcome against the continuous predictor, and observe how the two horizontal data lines overlap may be enough to give you some hint.
If you have enough data, you can also first separate your data by different groups (for example, 10 equal groups split by your continuous predictors), and the compute each group's mean (aka probability of "yes" to outcome), and join the points. That line should approximate the curve in the illustration you provide.
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I am working on a project to pull out data from rally and create a velocity chart.
I understand the REST Web Service APIs to use are Defects, Iteration, Hierarchical requirement and Iteration cumulative flow data.
How are the calculations are done to calculate the velocity per iteration for a particular project?
What data is required and how can it be achieved? Right now I'm able to pull plan estimate of all accepted user stories and total plan estimate.
I wrote an app recently to calculate velocity. I used the story points of all accepted stories/defects in a time period (iteration/release). My numbers ended up matching what Rally had for my velocity, so I believe that is all it takes.
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I have drawn something in inkscape and it looks great. I resize the image to the size I want and then export it as a Bitmap. The result has very poor quality, looking like no anti-alias has been applied to it, all edges are jazzy.
All the images are vectors, and I resize them to fit Android screen resolutions. I had the impression that if I use inkscape I will be able to scale and export images and mantain great quality. I attach an image to see the jazzy lines.
How can I improve this export ?
I would actually export it as a SVG open it with Gimp, do additional stuff if required and then save it as a PNG using Gimps save for web function.
Have you tried this plugins?
It have worked pretty well for me:
http://code.google.com/p/pixelsnap/
The problem about the conversion of vector graphics to pixel based file is explained there.