| """ | |
| This is a local proxy to intercept GDAL vsigs request (when storing data | |
| on google cloud storage) and inject error codes to exercise the logging | |
| codepath. | |
| Usage: | |
| $ python vsi_proxy.py | |
| $ CPL_GS_ENDPOINT=http://localhost:9999/ gdal_translate -srcwin 5000 5000 2000 2000 /vsigs/mybucketfile.tif out.tit | |
| """ |
| #!/bin/bash | |
| # Script to build opencv for android for multiple architectures | |
| # Must be run from a directory that contains an 'opencv' directory with the | |
| # opencv sources (from git or a tarball) | |
| # Final Build to opencv/build/install | |
| export ANDROID_NDK=$NDK | |
| CMAKE_ARGS="-DNATIVE_API_LEVEL=14 \ | |
| -DBUILD_ANDROID_EXAMPLES=0 \ | |
| -DBUILD_ANDROID_PACKAGE=0 \ |
Fixing strange python sys.path in virtualenv
I had /usr/lib/python2.7/dist-packages in the sys.path of a no-global-site-packages venv
Good ref regarding python sys.path
http://mikeboers.com/blog/2014/05/23/where-does-the-sys-path-start
Find .pth files :
| """ | |
| Code to parse sklearn classification_report | |
| """ | |
| ## | |
| import sys | |
| import collections | |
| ## | |
| def parse_classification_report(clfreport): | |
| """ | |
| Parse a sklearn classification report into a dict keyed by class name |
| """ | |
| Example of overlaying an image on a 3D view with tvtk | |
| """ | |
| ## | |
| import mayavi.mlab as mlab | |
| import numpy as np | |
| import pylab as pl | |
| import vtk | |
| from tvtk.api import tvtk | |
| ## |
| OSMESA_PATH=/opt/osmesa_llvmpipe | |
| LDFLAGS+=`PKG_CONFIG_PATH=$(OSMESA_PATH)/lib/pkgconfig/ pkg-config --libs osmesa` | |
| CFLAGS+=`PKG_CONFIG_PATH=$(OSMESA_PATH)/lib/pkgconfig/ pkg-config --cflags osmesa` | |
| all: | |
| clang -o osmesa_test osmesa_test.cc $(LDFLAGS) $(CFLAGS) -lGLU | |
| run: | |
| LD_LIBRARY_PATH=$(OSMESA_PATH)/lib ./osmesa_test |
| # This is running with python -m notebook.jstest notebook/save.js | |
| Test group: notebook/save.js | |
| [37;46;1mTest file: notebook/tests/notebook/save.js [0m | |
| step complete undefined | |
| step complete undefined | |
| remote message caught: Object { | |
| "readyState": 4, | |
| "responseText": "{\"reason\": null, \"message\": \"No such file or directory: has#hash and space and unic\\u00f8\\u2202e.ipynb\"}", |
| def pca(X, npc): | |
| n_samples, n_features = X.shape | |
| Xmean = np.mean(X, axis=0) | |
| U, s, Vt = scipy.sparse.linalg.svds(X - Xmean, k=npc) | |
| order = np.argsort(-s) # sort s in descending order | |
| # svds returns U, s, Vt sorder in ascending order. We want descending | |
| s = s[order] | |
| W = Vt[order,:] |
| // g++ -o eigen_test eigen_sparse_solver.cc -I/home/julien/slash/include/eigen3 -I/usr/include/suitesparse -lumfpack -lamd -lblas | |
| #include <cstdlib> | |
| #include <cassert> | |
| #include <Eigen/Eigen> | |
| #include <Eigen/UmfPackSupport> | |
| #include <vector> | |
| #include <iostream> | |
| using namespace Eigen; | |
| using namespace std; |
Useful commands to work on jupyter-notebook
Note that test are run on built js files, so you should run python setup.py build everytime you modify the notebook's js files.
Running a single js test
cd notebook/tests
python -m notebook.jstest notebook/attachments.js | less