README updates

README.md

@@ -1,3 +1,7 @@
+[![CircleCI](https://circleci.com/gh/monocongo/cvdata.svg?style=svg)](https://circleci.com/gh/monocongo/cvdata)
+[![codecov](https://codecov.io/gh/monocongo/cvdata/branch/master/graph/badge.svg)](https://codecov.io/gh/monocongo/cvdata)
+[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
+[![Python 3.7](https://img.shields.io/badge/python-3.7-blue.svg)](https://www.python.org/downloads/release/python-370/)
 # cvdata
 Tools for creating and manipulating computer vision datasets
 
@@ -18,16 +22,14 @@ $ pip install cvdata
 $ pip install -e git+https://github.com/tensorflow/models.git#egg=object_detection\&subdirectory=research
 ```
 
-##### From Source
+##### From source
 This package can be installed into the active Python environment as source from 
-its git repository. We'll first clone/download from GitHub, install the dependencies 
-specified in `requirements.txt`, and finally install the package into the active 
-Python environment:
+its git repository. We'll first clone/download from GitHub and then install the 
+package into the active Python environment:
 ```bash
 $ git clone [email protected]:monocongo/cvdata.git
 $ cd cvdata
-$ pip install -r requirements.txt
-$ python setup.py install
+$ pip install -e .
 ```
 
 ## OpenImages
@@ -263,6 +265,14 @@ directories. For example:
 $ cvdata_visualize --format pascal --images_dir /data/weapons/images --annotations_dir /data/weapons/pascal
 ```
 
+### For developers
+##### Testing
+Tests are based on `pytest` and are launched in stand-alone virtual environments 
+via [tox](https://tox.readthedocs.io/en/latest/): 
+```bash
+$ tox
+```
+
 ## Citation
 ```
 @misc {cvdata,

requirements.txt

@@ -9,14 +9,12 @@ cachetools==4.0.0
 certifi==2019.11.28
 chardet==3.0.4
 contextlib2==0.6.0
--e git+https://github.com/monocongo/cvdata@cb95eefbe926ee0bfdcff244e110c01134d33d5a#egg=cvdata
 cycler==0.10.0
 Cython==0.29.13
 decorator==4.4.0
 defusedxml==0.6.0
 docutils==0.15.2
 entrypoints==0.3
-filelock==3.0.10
 gast==0.2.2
 google-auth==1.11.0
 google-auth-oauthlib==0.4.1
@@ -25,13 +23,10 @@ grpcio==1.26.0
 h5py==2.10.0
 idna==2.8
 ImageHash==4.0
-importlib-metadata==0.23
-inflect==4.0.0
 ipykernel==5.1.2
 ipython==7.8.0
 ipython-genutils==0.2.0
 ipywidgets==7.5.1
-jaraco.itertools==5.0.0
 jedi==0.15.1
 jmespath==0.9.4
 jsonschema==3.0.2
@@ -47,27 +42,23 @@ Markdown==3.1.1
 MarkupSafe==1.1.1
 matplotlib==3.1.1
 mistune==0.8.4
-more-itertools==8.1.0
 nbconvert==5.6.0
 nbformat==4.4.0
 notebook==6.0.1
 numpy==1.17.2
 oauthlib==3.1.0
 opencv-python==4.1.2.30
 opt-einsum==3.1.0
-packaging==20.1
-pandas==0.25.3
+pandas==1.0.0
 pandocfilters==1.4.2
 parso==0.5.1
 pexpect==4.7.0
 pickleshare==0.7.5
 Pillow==6.2.0
-pluggy==0.12.0
 prometheus-client==0.7.1
 prompt-toolkit==2.0.10
 protobuf==3.10.0
 ptyprocess==0.6.0
-py==1.8.1
 pyasn1==0.4.8
 pyasn1-modules==0.2.8
 Pygments==2.4.2
@@ -92,15 +83,13 @@ tensorflow-estimator==2.1.0
 termcolor==1.1.0
 terminado==0.8.2
 testpath==0.4.2
-toml==0.10.0
 tornado==6.0.3
 tqdm==4.42.0
 traitlets==4.3.3
 urllib3==1.25.8
-virtualenv==16.7.5
+virtualenv==16.7.9
 wcwidth==0.1.7
 webencodings==0.5.1
 Werkzeug==0.16.0
 widgetsnbextension==3.5.1
 wrapt==1.11.2
-zipp==2.1.0

setup.py

@@ -15,13 +15,12 @@
     long_description=long_description,
     long_description_content_type="text/markdown",
     url="https://github.com/monocongo/cvdata",
-    python_requires=">=3.6,<3.8",
+    python_requires=">=3.7",
     provides=[
         "cvdata",
     ],
     classifiers=[
         "License :: OSI Approved :: MIT License",
-        "Programming Language :: Python :: 3.6",
         "Programming Language :: Python :: 3.7",
         "Operating System :: OS Independent",
     ],