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Big Data AI platform for distributed TensorFlow and PyTorch on Apache Spark.
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# Analytics Zoo Streaming Inference Examples
Streaming inference/predict based on [analytics-zoo](https://github.com/intel-analytics/analytics-zoo)
## Summary
Quick example about integrating analytics-zoo inference/predict service into streaming related applications. We prepared 2 examples:
1. [Streaming Object Detection](https://github.com/intel-analytics/analytics-zoo/tree/master/zoo/src/main/scala/com/intel/analytics/zoo/examples/streaming/objectdetection) uses pre-trained SSD model to detect objects in images.
2. [Streaming Text Classification](https://github.com/intel-analytics/analytics-zoo/tree/master/zoo/src/main/scala/com/intel/analytics/zoo/examples/streaming/textclassification) uses pre-trained CNN/LSTM model to classify text from network input.
## Environment
* Apache Spark (This version needs to be same with the version you use to build Analytics Zoo)
* [Analytics Zoo](https://analytics-zoo.github.io/master/#ScalaUserGuide/install/)
## Datasets and pre-trained models
**1. Streaming Object Detection**
* Datasets: [COCO](http://cocodataset.org/#home)
* Pre-trained model: [SSD 300x300](https://sourceforge.net/projects/analytics-zoo/files/analytics-zoo-models/object-detection/analytics-zoo_ssd-vgg16-300x300_COCO_0.1.0.model)
**2. Streaming Text Classification**
* Pre-trained model: Save trained text classification model and word2index in [Text Classification](https://github.com/intel-analytics/analytics-zoo/blob/master/docs/docs/ProgrammingGuide/text-classification.md).
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