Merge pull request aleju#87 from Borda/master

add CI

.gitignore

@@ -33,6 +33,12 @@ var/
 *.manifest
 *.spec
 
+# PyCHarm
+.idea/
+
+# virtualenv
+venv/
+
 # Installer logs
 pip-log.txt
 pip-delete-this-directory.txt

.travis.yml

@@ -2,22 +2,43 @@ sudo: required
 
 dist: trusty
 
-language: c++  # to use system python
+language:
+  - python
+  - cpp
+
+env:
+  global:
+    - CODACY_PROJECT_TOKEN=63be83274aee4264aae7ba4c31d40677
 
 cache:
   directories:
     - $HOME/.cache/pip
 
+python:
+  - "2.7"
+  - "3.4"
+  - "3.5"
+  - "3.6"
+
 before_install:
   - sudo apt-get update -qq
+  - sudo apt-get install -qq -y python-virtualenv # python-opencv
 
 install:
-  - sudo apt-get install -qq -y python-opencv python-virtualenv
-  - virtualenv venv
-  - cp $(python -c 'import cv2; print(cv2.__file__)') venv/lib/python2.7/site-packages
-  - . venv/bin/activate
-  - pip install -U numpy  # for copied cv2
+#  - virtualenv venv
+#  - . venv/bin/activate
+  - pip install -r requirements.txt
+  - pip install coverage codecov pytest>=3.0.5 pytest-cov codacy-coverage # nose>=1.3.7
   - pip install .
 
 script:
   - python tests/test.py
+  - coverage run --source imgaug --omit ./imgaug -m pytest tests/test.py --verbose --doctest-modules
+#  - nosetests tests/test.py -v --exe --with-doctest --with-xunit --with-coverage --cover-package=imgaug
+
+
+after_success:
+  - codecov -t 1be5afbb-64c5-40e0-a31d-9661518c0fd4
+  - coverage xml
+  - python-codacy-coverage -r coverage.xml
+  - coverage report

README.md

@@ -4,6 +4,8 @@ This python library helps you with augmenting images for your machine learning p
 It converts a set of input images into a new, much larger set of slightly altered images.
 
 [![Build Status](https://travis-ci.org/aleju/imgaug.svg?branch=master)](https://travis-ci.org/aleju/imgaug)
+[![codecov](https://codecov.io/gh/Borda/imgaug/branch/master/graph/badge.svg)](https://codecov.io/gh/Borda/imgaug)
+[![Codacy Badge](https://api.codacy.com/project/badge/Grade/376bd45be5af418e9dcd3f2e3c7ee1dc)](https://www.codacy.com/app/Borda/imgaug?utm_source=github.com&utm_medium=referral&utm_content=Borda/imgaug&utm_campaign=Badge_Grade)
 
 ![64 quokkas](examples_grid.jpg?raw=true "64 quokkas")
 

codecov.yml

@@ -0,0 +1,42 @@
+#see https://github.com/codecov/support/wiki/Codecov-Yaml
+codecov:
+  notify:
+    require_ci_to_pass: yes
+
+coverage:
+  precision: 2  # 2 = xx.xx%, 0 = xx%
+  round: nearest # how coverage is rounded: down/up/nearest
+  range: 10...90 # custom range of coverage colors from red -> yellow -> green
+  status:
+    # https://codecov.readme.io/v1.0/docs/commit-status
+    project:
+      default:
+        against: auto
+        target: 40% # specify the target coverage for each commit status
+        threshold: 20% # allow this little decrease on project
+        # https://github.com/codecov/support/wiki/Filtering-Branches
+        # branches: master
+        if_ci_failed: error
+    # https://github.com/codecov/support/wiki/Patch-Status
+    patch:
+      default:
+        against: parent
+        target: 30% # specify the target "X%" coverage to hit
+        # threshold: 50% # allow this much decrease on patch
+    changes: false
+
+parsers:
+  gcov:
+    branch_detection:
+      conditional: true
+      loop: true
+      macro: false
+      method: false
+  javascript:
+    enable_partials: false
+
+comment:
+  layout: header, diff
+  require_changes: false
+  behavior: default  # update if exists else create new
+  branches: *

requirements.txt

@@ -0,0 +1,5 @@
+numpy
+scipy
+Pillow
+opencv-python
+scikit-image