ImageAI 2.0.1
This is a major ImageAI release that provides a wider range of APIs and the base implementation of future updates. This wheel is provided for Python 3.x .
What's new:
- Addition of Custom Image Prediction model trainings using SqueezeNet, ResNet50, InceptionV3 and DenseNet121
- Addition of Custom Image Prediction with custom trained models and generated model class json
- Preview Release: Addition of Video Object Detection and Video Custom Objects Detection (object tracking)
- Addition of file, numpy array and stream input types for all image prediction and object detection tasks (file inputs only for video detections)
- Addition of file and numpy array output types for object detection and custom object detection in images
- Introduction of 4 speed modes ('normal', 'fast', 'faster' and 'fastest') for image prediction, allowing prediction time to reduce by 50% at 'fastest' while maintaining prediction accuracy
- Introduction of 5 speed modes ('normal', 'fast', 'faster', 'fastest' and 'flash') for all object detection and video object detection tasks, allowing detection time to reduce by over 80%
with 'flash' detection accuracy balanced with 'minimum_percentage_probability' which is kept at low values - Introduction of rate of frame detections, allowing developers to adjust intervals of detections in videos in favour of real time/close to real time result.