Visual search with python+OpenCV Rank your product catalog based on visual similarity to a query photo with our state-of-the-art-visualisation-starting-toolkit™. Just add water. Contents godatadriven-vision -app flask webapp -data example images and models (in img/ and model/) -lib core image processing machine learning functionality associated utilities -proc example scripts using the stuff in lib/ Installation Mac Installation First make sure you follow all of the steps in. This should ensure that opencv works. Then create a new virtual environment in the rootfolder of this git repo.

I am using the old school way of virtualenv, but you could also use virualenvwrapper. Virtualenv gddvision source gddvision/bin/activate Next we need to make sure we have all the required pip-packages. Pip install -r requirements.txt After this install has completed you should be able to confirm that the following code runs without errors: (gddvision)$ python Python 2.7.5 (default, Mar 9 2014, 22:15:05) GCC 4.2.1 Compatible Apple LLVM 5.0 (clang-500.0.68) on darwin Type 'help', 'copyright', 'credits' or 'license' for more information. import cv import cv2 import numpy as np You should also be able to do this in a python notebook.

(gddvision)$ ipython notebook Linux Installation This part of the readme might not be as complete. You need to follow these steps to get python2.7, pip, virtualenv and opencv to work on linux redhat. Install Python + Devtools yum install gcc gcc-c.x8664 compat-gcc-34-c.x8664 openssl-devel.x8664 zlib.x8664 wget tar -xvjf Python-2.7.tar.bz2 cd Python./configure -prefix=/opt/python27 make make install Now make sure that the user can access python by appending the path. In.bashprofile make sure the following line is there. PATH=$PATH:$HOME/bin:/opt/python27/bin Now make sure this file is sourced. Source /.bashprofile We now have a functional version of python 2.7.

Now for the dependency management. Curl -k python2.7 Make sure that it works via. Pip2.7 install requests python2.7 import requests exit pip2.7 install virtualenv From here you should now be able to repeat similar steps done in the mac tutorial. Setup When everything has been properly installed you can run the basic computer vision algorithms.

Once all this is done you only need to run the app to visualize the results. You start the the app by telling flask to start running. From the /app directory: $ python app.py Then point your browser to localhost:1234. Method.

Several options are considered:. texture / pixel values. SURF / HIST. photometric representation: color / intensity (where color is normalized red and green).

I / r / g. TODO: combining the ranks of every option combo.

I want to create a GUI application which should work on Windows and Mac. For this I've chosen Python. The problem is on Mac OS X. There are 2 tools to generate an '.app' for Mac: py2app and pyinstaller.

py2app is pretty good, but it adds the source code in the package. I don't want to share the code with the final users. Pyinstaller generates UNIX executable, so how to run it on Mac? I created a bundles with this executable, but the resulted '.app' is not working. The questions are:. How to configure py2app to include the source code in the executable, so the final users will not have access to my program?. How to convert UNIX executable to Mac '.app'?.

Is there a way to compile Python code with GCC?. In Windows it's easy, I created an 'exe' file from Python code and it works. Is it possible to create a single file 'app' for Mac?

I use two computers (Windows and for Mac), Python 2.7, wxPython, py2exe, py2app and pyinstaller. Also, I have checked out these sites:. Obviously almost everything in computers can in some way be reverse engineered or decompiled. I think he means a way to compile the program so that the source code would not stand there just waiting to be read. In windows you can build a nice stand alone exe. Something like that would do. Most likely 99% of the generic users will never even imagine taking a peek inside, but for the 1% who do it would ensure only.1% actually have the skills to pull it off, not have it served on a platter.

– Jul 12 '13 at 15:25. How to configure py2app to include the source code in the executable, so the final users will not have access to my program? Unless you very seriously hack the python interpreter (and include the mangled version) there is no really good way to hide the source from a moderately skilled and determined user. I strongly believe this is true on Windows also. Basically, whether you include true source or bytecode, a pretty clean version of the source can be recovered. More importantly, in my opinion, unless you include the actual source code (as opposed to bytecode, you will introduce a possible dependency on the interpreter version). How to convert UNIX executable to Mac '.app'?

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What do you mean by a UNIX executable? A Darwin (OS X) binary which isn't actually UNIX?

That can be done using the kinds of tools you already mentioned, but it must be done carefully to avoid library dependencies. If all you want it a simple wrapper to put a command-line binary into a window, it's pretty easy to accomplish and the free XCode suite has several examples that would serve (depending on what output you wan to deliver, if any). Is there a way to compile Python code with GCC? GCC does not compile Python.

It's a different language (although there tools in the gcc family rthat support multiple language front-ends, but not Python). There are tools that attempt to translate Python into C, and then you can compile that into a true binary, but this only works for programs that avoid certain types of construct, and the process (and restrictions) need to apply your libraries as well. One project to allow this is Cython. It works well for some types of code, mostly numerical code, but it is not trivial to install and exploit, very especially if you want to produce something that runs on multiple different computers. In Windows it's easy, I created an 'exe' file from Python code and it works.

Is it possible to create a single file 'app' for Mac? I would have to say I am skeptical - very skeptical - about this. Just like the OS X case, the exe almost certainly has the source code trivially accessible within it. One fairly easy trick is to encrypt the source code and then decrypt it on the fly, but this seems to me like more trouble than it's worth. Automator was already mentioned as a quick and simple solution for Pythons scripts that are contained in a single file, but since the Automator UI has so many options, and it is not obvious how to actually do it, I'll provide step-by-step instructions (verified to work on Yosemite):. In Automator select File New and pick Application as document type.

Next, make sure Actions tab is selected on the left, and then in the search box type run. Among other options you'll see Run Shell Script — doubleclick it, and an editor window will appear in the right panel. From the Shell dropdown menu select /usr/bin/python. Paste your Python code into the edit window and then pick File Save. By default, the app will be saved under $HOME/Applications and will appear in Spotlight. If you want to be able to set your own icon and have some fancy features, like task bar icons with a menu, log windows etc, then have a look at, and app for creating MacOS native bundles. Having used py2exe for windows users so they wouldn't have to deal with library versions, I've torn apart the compiled programs, they include the python bytecode files.

While you can make it a violation of the license to look inside those, the fact is that if a computer can execute them, I can read them. It is possible to compile python programs with gcc, via a C preprocessor (try looking for 2c.py on google), I don't know if any of them support GCC. Again, you don't gain any security through using them, but you can get a significant speed improvement.

I haven't tried it with big Python projects, but for my own scripts, the easiest way I found was to use You can interactively create an app project with Run Shell Script action, then paste in your script in its editor, select your shell program (/usr/bin/python), finally save the project. And you have yourself a Mac native app.

Automator can also be driven by AppleScript. So you can pipeline this py-2-app conversion process to your build scripts. I've never tested a GUI program with it so I don't know if you'll be happy with it. But I'd give it a try since you may wonder how well all the cited 3rd-party python modules/applications are maintained, and how long they are gonna last. Coming bundled with OS X, Automator will likely stay, unless Apple got REALLY tired of it.