March 2015 - Wine-devel - list.winehq.org

Re: [PATCH 2/2] riched20: Implement IOleWindow::GetWindow.
by Nikolay Sivov 16 Mar '15

16 Mar '15

On 16.03.2015 10:36, Jactry Zeng wrote: > static HRESULT WINAPI IOleWindow_fnGetWindow(IOleWindow *iface, HWND *phwnd) > { > IOleClientSiteImpl *This = impl_from_IOleWindow(iface); > - FIXME("not implemented: (%p)->(%p)\n", This, phwnd); > - return E_NOTIMPL; > + TRACE("(%p)->(%p)\n", This, phwnd); > + *phwnd = This->reOle->editor->hWnd; > + return S_OK; > } Could you add a test for NULL argument too?

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GSoC WINE -Deep Learning with Caffe & OpenCV Proposal
by Yida Wang 16 Mar '15

16 Mar '15

Posted by Yida Wang Passion with OpenCV and other Open Source Communities Hello, I am Yida Wang, a first year Master Student in Pattern Recognition of PRIS Lab in SICE school of BUPT. I have wonderful experience with OpenCV and several other open source communities. I have won the 1st prize in Scilab Open Source Contest 2014 and Excellent Developer in CSDN Summer of Code 2014 in BladeRF commmunity. All certificate could be provided if it is necessary. As for WINE project, I have developed a PCANet structure to automatically match opencv source figures with Microsoft figures sot that the editor in linux platform could match the correct figure copied from Microsoft Office. This time I think it is convenient to use Caffe and OpenCV for deep learning and other CV issues for some pattern recognition applications. I have also own an Nvidia K40 GPU donated by Nvidia for research, I think I can extend the package for GPU calculation! Motivation for Proposal Framework in Computer Vision- Deep Learning Project I’m Concentrating on Deep Learning coding with OpenCV and other open source project like Caffe and cuDNN for a period of time. My project contains two meaningful contents, the 1st one is a BP algorithm eliminated CNN structure which is far less time consuming than traditional CNN and the 2nd one is an entire Deep Leaning structure on image recognition based on Caffe. New Idea for a Fast CNN My idea is based on the thriving pattern recognition method called ’Deep Neural Networks ’ which has been used by Google to build the amazing recognition structure last year. As Deep Neural Network behaves amazingly in pattern recognition, there are already useful tools such as Caffe being implemented for research. Some of the useful codes could be modified and embedded in OpenCV for the development of DNN. But at the same time, the problem lies in the dependence on hardware such as powerful GPU which is not easy to be got by ordinary people. The time consuming process is mainly caused by 2 points: the Randomness of the convolutional kernel and the countless back propagation step. I have been studying on a powerful single direction fast CNN called PCANet for research and commercial use. Here are some benefit in such structure: 1. Such structure hasn’t the BP algorithm used in DNN which cost much operation. 2. It has some tiny PCA filters instead. The filters’ shape is just like the shape in the training results of normal CNN. 3. My structure could be used in initiating the CNN in the future to optimize the training time in CNN. 4. Combination of Caffe and PCANet in WINE The ‘blob’ structure defined in Caffe is clear for the layer based CNN and the input data of convolution kernel and bias in one layer could be replaced by the PCANet filter for initialization. So the modified structure combined with Caffe and PCANet could be powerful both in speed of convergence and recognition stability with the help of OpenCV. So my idea consists 2 stage: PCANet implementation and Caffe modifying for OpenCV. The 1st direction called Fast-CNN(CellNet) My 1st idea is an implementation of PCANet which has different structure of local filters learning from different databases while holding the stability and generality of general CNN at the same time. Here is the General model of PCANet: I have been using this algorithm in one of the most difficult face database called ‘LFW’ and achieves 92% recognition rate with just this algorithm alone. My friend Qian Hong, has guild me to help him solve the general figure recognition problem recently to reduce the human labor cost in selecting the most likely figure in open source figure database to the Microsoft official figure. I use PCANet for such problem with particular parameters and got the result partly shown below: Target database Open source database The matching result shows the accuracy of PCANet, they are all extract from raw database, and there are many shape alike matches. My algorithm just could select the best substitute. Now I have modified the structure for general visual object classification problems and join the Detection-Feature extraction-Classification process together into an entire extension neural network both for my study and the project itself. By attempting to modify my previous Matlab codes about CellNet into C++ codes with the help of OpenCV(especially in Matrix operations), I could get some raw features extracted from a photo through the network these days. The performance is still as excellent as I mentioned last few weeks, but I am concerning about another confusion related to what you have told me. The 2nd direction: Modifying Caffe with OpenCV in WINE In fact besides studying in artificial architecture, I am also research in normal neural networks at the same time, so came the 2nd content I just showed. Deep learning is powerful indeed, it could exceed the human capabilities in the future due to Big Data and fast 2-D computation (including GPU). But the complex back and forth process cost really much even in the future. So I am still searching the better solution between one-way network and two-way network. I noticed that OpenCV has posted that it would be cool if OpenCV could load and run deep networks trained with popular DNN packages like Caffe or Torch. I am glad to hear that because I am also doing some experiment on CNN with Caffe. Than there are some main task to be done in the future: 1. Modify the Caffe’s data structure with OpenCV, especially the ‘blob’ structure defined in Caffe. The layer really appears more clear with the help of ‘blob’, but the basic element could be more flexible with the OpenCV data structure. 2. Some prerequisites should be simplified including BLAS & Boost. We may just need some basic dependencies to form a CNN. 3. Whether including GPU calculating process is under consideration due to the short time. Conclusion Just as described in detail, my idea is composed of a fast DNN which is almost completed and a Caffe based DNN. I attached the paper describing the fast DNN called “PCANet”. The source code is published on Github with the name of CellNet with the URL: https://github.com/Wangyida/CellNet As for the Caffe based DNN, I thought it is much more easy to develop a CPU version rather than a GPU version at first. I am worried about that the time might not be enough to apply OpenCV on Caffe without bugs from now on though there are already some utilizations of OpenCV in Caffe. I wonder if the idea is meaningful enough? Especially the 1st part.

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GSOC-2015 Tools - Implement resource editor and / or dialog editor
by Rukshan Chathuranga 16 Mar '15

16 Mar '15

Hi Marcus Meissner and André Hentschel, I'm rukshan chathuranga from university of moratuwa, Sri Lanka. I'm hope to apply to GSOC 2015 with Wine project. For that i hope to work with "Tools - Implement resource editor and / or dialog editor" project. Because i have C/C++/QT/QML programming experience. Also i am seeking more information and requirement about this topic. Can you help me to understand the scope well? Thanks and regards. *Rukshan Chathuranga.* *Department Of Computer Science & Engineering,* *Faculty Of Engineering,* *University Of Moratuwa. **Sri Lanka.* *WEB: http://www.rukspot.com/ <http://rukspot.com/>*

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Re: winemenubuilder - MIME type handling GSoC - bad idea
by Damjan Jovanovic 15 Mar '15

15 Mar '15

Hi I welcome this discussion. Of course manually deleting files in ~/.local is not user friendly, and it was never intended to be done that way. I did not write the part of the Wiki entry suggesting that applet :-). If you install a Windows app on Windows, and it creates menus and file associations, you don't get to opt out, and have to use a 3rd party tool to edit or delete those afterwards. If you install a Linux app on Linux, and it creates menus and file associations, you also don't get to opt out, and have to use a 3rd party tool (a Freedesktop menu/association editing tool) to edit or delete those afterwards. Why is Wine so special? What are people actually looking for? For Wine not to create menu/associations when running on a non-"~/.wine" WINEPREFIX? For a way to stop the annoying use of Wine's "Internet Explorer" to open jpeg files? Anything else? BTW you don't need distro binfmt handlers to double-click .exe (and .msi and .lnk) files: Wine's tools/wine.desktop handles those. You only need binfmt handlers to run .exe directly from the command line - when you aren't in a desktop where you can use "xdg-open /path/to/file.exe". I suspect the Ubuntu package installs a binfmt handler because it doesn't know that. Regards Damjan On Sun, Mar 15, 2015 at 5:03 PM, Michael Müller <michael(a)fds-team.de> wrote: > Hi Damjan, > > the idea of the GSOC project is to make the mime type association more > user friendly for ordinary users. Manually deleting files in > ~/.local/share/mime/ (which some users don't even find because it is a > hidden folder) or requiring a 3rd party program is not user friendly. If > Wine creates these associations it should also provide you with a way to > get rid of them. Even the wiki entry mentions that an applet would be > useful to manage these associations. > > There is also no obvious way to disable the integration, there is no > checkbox or something like this in winecfg, you will need to lookup that > winemenubuilder is the component responsible for this and disable it > manually with library overrides. We are talking about users who use wine > by double clicking on an executable (using the binfmt handler installed > by their distro) or by using a menu entry and who wonder why all their > txt files now open with notepad and how to get rid of this. > > There is also no easy and obvious way to create mime types only for a > specific program, i.e. disable the integration but later decide to > enable it only for Word and .doc* files. There might be different > solutions for this problem, but I think you can't deny that there is > something going wrong if you get a bug report with 72 comments and 4 > duplicates. Arguing that providing a way to disable the integration > again would be a new feature and not a bug fix doesn't help us in this > case. If you have better ideas how to make the integration more user > friendly, feel free to share them with us, but your comments didn't > convince me so far that this GSOC idea is bad. > > Maybe Rosanne can share her opinion on this topic, since she has more > contact with users complaining about this "feature". > > Regards, > Michael > > Am 15.03.2015 um 11:02 schrieb Damjan Jovanovic: >> Hi >> >> As the author of most of winemenubuilder, I am disappointed at how >> poorly understood it remains. >> >> The "Winecfg / winemenubuilder - enhance MIME type handling" GSoC idea >> suggests "The idea of this task is to provide a GUI (most probably as >> part of winecfg) to control the creation of such MIME type assignments >> and therefore making Wine more user friendly." >> >> If you read about the design of winemenubuilder's file associations on >> http://wiki.winehq.org/FileTypesIntegration you'll see that >> winemenubuilder logs each file association mapping to the registry on >> creation, and doesn't recreate it if it's already in the registry and >> the .desktop file is gone. This allows you not just to customize and >> delete file associations by editing the registry, but also by editing >> the Freedesktop associations (and menus btw) with Freedesktop tools - >> .desktop files you've deleted in those tools won't be recreated by >> Wine (unless you uninstall and reinstall the Windows app). >> >> I believe people have been spoiled by installing everything through >> their distro package manager, and thus don't know about/use >> Freedesktop menu/association editing tools, so they now expect Wine to >> do something that even Windows doesn't. >> >> If Freedesktop tools don't let you edit file associations, surely >> that's a missing feature in those tools, not a GSoC project in Wine? >> Additionally Windows apps for editing menus and file associations >> (example list at http://forums.techarena.in/tips-tweaks/989159.htm) >> should work under Wine. >> >> Thank you >> Damjan >> >

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Re: [2/2] ws2_32/tests: Check the OOB mark in the right place
by Marvin 15 Mar '15

15 Mar '15

Hi, While running your changed tests on Windows, I think I found new failures. Being a bot and all I'm not very good at pattern recognition, so I might be wrong, but could you please double-check? Full results can be found at https://testbot.winehq.org/JobDetails.pl?Key=12177 Your paranoid android. === w2008s64 (64 bit sock) === No test summary line found

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Re: d3drm: Add tests for querying between IDirect3DRM interfaces
by Marvin 15 Mar '15

15 Mar '15

Hi, While running your changed tests on Windows, I think I found new failures. Being a bot and all I'm not very good at pattern recognition, so I might be wrong, but could you please double-check? Full results can be found at https://testbot.winehq.org/JobDetails.pl?Key=12174 Your paranoid android. === build (build) === Patch failed to apply

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Subtle Denial of Medical Treatment by the Singapore Government for Mr. Teo En Ming (Zhang Enming)
by Teo En Ming (Zhang Enming) 15 Mar '15

15 Mar '15

Dear Sir/Madam, Please refer to the following PDF document: http://oss.clusterlabs.org/pipermail/pacemaker/2015-March/023574.html It is a very important letter. Please read the letter very carefully, word by word. The letter details how the Singapore Government led by Prime Minister Lee Hsien Loong has *subtly* denied me medical treatment for ***suspected*** coronary heart disease. Thank you very much. -- Yours sincerely, Mr. Teo En Ming (Zhang Enming) Singapore Citizen

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Testing
by Teo En Ming (Zhang Enming) 15 Mar '15

15 Mar '15

Testing -- Yours sincerely, Mr. Teo En Ming (Zhang Enming) Singapore Citizen

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Re: combase: implement WindowsSubstring
by Marvin 15 Mar '15

15 Mar '15

Hi, While running your changed tests on Windows, I think I found new failures. Being a bot and all I'm not very good at pattern recognition, so I might be wrong, but could you please double-check? Full results can be found at https://testbot.winehq.org/JobDetails.pl?Key=12173 Your paranoid android. === w8 (32 bit string) === string.c:258: Test failed: Duplicated string created new string

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Re: [PATCH] vbscript: Implemented GetLocale
by Nikolay Sivov 15 Mar '15

15 Mar '15

> +static HRESULT Global_GetLocale(vbdisp_t *This, VARIANT *arg, unsigned args_cnt, VARIANT *res) > +{ > + return return_int(res, GetACP()); > +} This looks completely wrong. Docs say it should return locale id (as name suggests), not a codepage value.

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