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.travis.yml
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.travis.yml
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dist: xenial
sudo: required
language: python
python:
- '3.5'
- '3.6'
- '3.7'
install:
- pip install -r requirements.txt
- pip install pytest
- pip install pytest-cov
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_script:
- bash <(curl -s https://codecov.io/bash)