To use ImageAI in your application developments, you must have installed the following dependencies before you install ImageAI :
- Python 3.5.1 (and later versions)
- Tensorflow 1.4.0 (and later versions) (Tensorflow 2.0 coming soon)
- OpenCV
- Keras 2.x
pip install -U tensorflow keras opencv-python
To install ImageAI, run the python installation instruction below in the command line:
pip3 install imageai --upgrade
Please get the model from: https://github.com/OlafenwaMoses/ImageAI/releases/download/1.0/resnet50_coco_best_v2.0.1.h5
- Somshubra Majumdar, DenseNet Implementation of the paper, Densely Connected Convolutional Networks in Keras https://github.com/titu1994/DenseNet
- Broad Institute of MIT and Harvard, Keras package for deep residual networks https://github.com/broadinstitute/keras-resnet
- Fizyr, Keras implementation of RetinaNet object detection https://github.com/fizyr/keras-retinanet
- Francois Chollet, Keras code and weights files for popular deeplearning models https://github.com/fchollet/deep-learning-models
- Forrest N. et al, SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size https://arxiv.org/abs/1602.07360
- Kaiming H. et al, Deep Residual Learning for Image Recognition https://arxiv.org/abs/1512.03385
- Szegedy. et al, Rethinking the Inception Architecture for Computer Vision https://arxiv.org/abs/1512.00567
- Gao. et al, Densely Connected Convolutional Networks https://arxiv.org/abs/1608.06993
- Tsung-Yi. et al, Focal Loss for Dense Object Detection https://arxiv.org/abs/1708.02002
- O Russakovsky et al, ImageNet Large Scale Visual Recognition Challenge https://arxiv.org/abs/1409.0575
- TY Lin et al, Microsoft COCO: Common Objects in Context https://arxiv.org/abs/1405.0312
- Moses & John Olafenwa, A collection of images of identifiable professionals. https://github.com/OlafenwaMoses/IdenProf
- Joseph Redmon and Ali Farhadi, YOLOv3: An Incremental Improvement. https://arxiv.org/abs/1804.02767
- Experiencor, Training and Detecting Objects with YOLO3 https://github.com/experiencor/keras-yolo3