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  • LOD in modern games

    - by Firas Assaad
    I'm currently working on my master's thesis about LOD and mesh simplification, and I've been reading many academic papers and articles about the subject. However, I can't find enough information about how LOD is being used in modern games. I know many games use some sort of dynamic LOD for terrain, but what about elsewhere? Level of Detail for 3D Graphics for example points out that discrete LOD (where artists prepare several models in advance) is widely used because of the performance overhead of continuous LOD. That book was published in 2002 however, and I'm wondering if things are different now. There has been some research in performing dynamic LOD using the geometry shader (this paper for example, with its implementation in ShaderX6), would that be used in a modern game? To summarize, my question is about the state of LOD in modern video games, what algorithms are used and why? In particular, is view dependent continuous simplification used or does the runtime overhead make using discrete models with proper blending and impostors a more attractive solution? If discrete models are used, is an algorithm used (e.g. vertex clustering) to generate them offline, do artists manually create the models, or perhaps a combination of both methods is used?

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  • Using Traveling Salesman Solver to Decide Hamiltonian Path

    - by Firas Assaad
    This is for a project where I'm asked to implement a heuristic for the traveling salesman optimization problem and also the Hamiltonian path or cycle decision problem. I don't need help with the implementation itself, but have a question on the direction I'm going in. I already have a TSP heuristic based on a genetic algorithm: it assumes a complete graph, starts with a set of random solutions as a population, and works to improve the population for a number of generations. Can I also use it to solve the Hamiltonian path or cycle problems? Instead of optimizing to get the shortest path, I just want to check if there is a path. Now any complete graph will have a Hamiltonian path in it, so the TSP heuristic would have to be extended to any graph. This could be done by setting the edges to some infinity value if there is no path between two cities, and returning the first path that is a valid Hamiltonian path. Is that the right way to approach it? Or should I use a different heuristic for Hamiltonian path? My main concern is whether it's a viable approach since I can be somewhat sure that TSP optimization works (because you start with solutions and improve them) but not if a Hamiltonian path decider would find any path in a fixed number of generations. I assume the best approach would be to test it myself, but I'm constrained by time and thought I'd ask before going down this route... (I could find a different heuristic for Hamiltonian path instead)

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  • Unable to download trace file

    - by Firas Assaad
    Whenever I switch to DDMS view and start method profiling, I get the following error message when I stop profiling: Method Profiling Error: Unable to download trace file: Remote object doesn't exist! This only happens with 1.6 and 2.1 AVDs, 2.2 and 2.3 work fine. I've been having this problem ever since the latest update to the Eclipse Android plugin. I'm using Eclipse 3.5.2 on Ubuntu 10.04 with Android Development Toolkit version 8.0.0.v201011171904-77661. Let me know if you need any more information.

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  • media.set_xx giving me grief!

    - by Firas
    New guy here. I asked a while back about a sprite recolouring program that I was having difficulty with and got some great responses. Basically, I tried to write a program that would recolour pixels of all the pictures in a given folder from one given colour to another. I believe I have it down, but, now the program is telling me that I have an invalid value specified for the red component of my colour. (ValueError: Invalid red value specified.), even though it's only being changed from 64 to 56. Any help on the matter would be appreciated! (Here's the code, in case I messed up somewhere else; It's in Python): import os import media import sys def recolour(old, new, folder): old_list = old.split(' ') new_list = new.split(' ') folder_location = os.path.join('C:\', 'Users', 'Owner', 'Spriting', folder) for filename in os.listdir (folder): current_file = media.load_picture(folder_location + '\\' + filename) for pix in current_file: if (media.get_red(pix) == int(old_list[0])) and \ (media.get_green(pix) == int(old_list[1])) and \ (media.get_blue(pix) == int(old_list[2])): media.set_red(pix, new_list[0]) media.set_green(pix, new_list[1]) media.set_blue(pix, new_list[2]) media.save(pic) if name == 'main': while 1: old = str(raw_input('Please insert the original RGB component, separated by a single space: ')) if old == 'quit': sys.exit(0) new = str(raw_input('Please insert the new RGB component, separated by a single space: ')) if new == 'quit': sys.exit(0) folder = str(raw_input('Please insert the name of the folder you wish to modify: ')) if folder == 'quit': sys.exit(0) else: recolour(old, new, folder)

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  • Does software testing have a future?

    - by Firas
    Hello everybody. My current career is in software testing, but I feel that I am wasting my time, maybe because I don't know the future path of this career, and where I will arrive in the future if I continue in this career. And I don't know how can I develop myself in this career. Can I have my own job in this field? Please give me good suggestions and opinion. Many thanks.

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  • Is software testing has a future?

    - by Firas
    Hello every body. My current career is software testing, but I feel that iam wasting my time, may be because I dont know the future path of this carrer, and to where will I arrive in the future if I continue in this carrer. And I dont know how can I develop my self in this career. And can I have my own job in this field? Please give me good suggestions and openion. Many thanks

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