dist: xenial
sudo: required
language: python
python:
  - '3.5'
  - '3.6'
  - '3.7'
install:
  - pip install -r requirements.txt
  - pip install pytest
script:
  - python setup.py install
  - cd test
  - mkdir data-models
  - mkdir data-temp
  - wget -P data-models/ https://github.com/OlafenwaMoses/ImageAI/releases/download/1.0/DenseNet-BC-121-32.h5
  - wget -P data-models/ https://github.com/OlafenwaMoses/ImageAI/releases/download/1.0/inception_v3_weights_tf_dim_ordering_tf_kernels.h5
  - wget -P data-models/ https://github.com/OlafenwaMoses/ImageAI/releases/download/1.0/resnet50_weights_tf_dim_ordering_tf_kernels.h5
  - wget -P data-models/ https://github.com/OlafenwaMoses/ImageAI/releases/download/1.0/squeezenet_weights_tf_dim_ordering_tf_kernels.h5
  - wget -P data-models/ https://github.com/OlafenwaMoses/ImageAI/releases/download/models-v3/idenprof_densenet-0.763500.h5
  - wget -P data-models/ https://github.com/OlafenwaMoses/ImageAI/releases/download/models-v3/idenprof_full_resnet_ex-001_acc-0.119792.h5
  - wget -P data-models/ https://github.com/OlafenwaMoses/ImageAI/releases/download/models-v3/idenprof_resnet.h5
  - wget -P data-models/ https://github.com/OlafenwaMoses/ImageAI/releases/download/1.0/resnet50_coco_best_v2.0.1.h5
  - wget -P data-models/ https://github.com/OlafenwaMoses/ImageAI/releases/download/1.0/yolo.h5
  - wget -P data-models/ https://github.com/OlafenwaMoses/ImageAI/releases/download/1.0/yolo-tiny.h5
  - wget -P data-models/ https://github.com/OlafenwaMoses/ImageAI/releases/download/essential-v4/pretrained-yolov3.h5
  - wget -P data-models/ https://github.com/OlafenwaMoses/ImageAI/releases/download/essential-v4/hololens-ex-60--loss-2.76.h5
  - pytest -v --cov
after_success:
  - bash <(curl -s https://codecov.io/bash)