DeepStack 3.5 - Release Notes

DeepStack 3.5 features support for ONNX models, keras models and about 2X speed with reduced cpu usage.

  • ONNX and Keras model support

    Support for Models trained in Keras, Pytorch, Chainer and any ONNX compatible framework. See Custom Models

  • Speed Improvements

    2X speed in inference for CPU Version

  • Reduced CPU Usage

    Fixed bugs causing over-use of cpu.

DeepStack Beta 3.0 - Release Notes

DeepStack Beta 3.0 features support for custom models, backup and restore and api security.

  • Custom Model Serving

    Support for serving custom models saved in Tensorflow .pb format. See Custom Models

  • Backup and Restore

    Now you can backup and restore your entire deepstack data including custom models, api keys and face embeddings. See Backups and Restore

  • API Security

    The admin apis allows you protect endpoints with an API Key, you can also set an admin key to protect backup endpoints and other admin tasks. See Security

  • Improved Logs

    The server logs have been improved to display all available endpoints

DeepStack Beta 2.0 - Release Notes

DeepStack Beta 2.0 features a new face detection engine, significantly improving the face detection and recognition APIS.

Improvements

  • New Face Detection Engine

    The face detection APIs have been improved to detect faces even when occluded.

  • Improved Face Recognition

    The face recognition APIs have been improved significantly. Recognized faces now report confidence over 70%. The default min_confidence is now set to 0.67

  • New Face Match API

    The new Face Match API allows you to compute the similarity score on two images containing two faces.

  • Speed Modes

    Speed modes have been introduced to allow you easily tradeoff performance for accuracy.

    There are three speed modes, “High” , “Medium” and “Low”

    You can specify your speed mode has exemplified below.

    sudo docker run -e MODE=High -e VISION-DETECTION=True -v localstorage:/datastore \
    -p 80:5000 deepquestai/deepstack
    
    Note the -**e MODE=High** above
    
  • Minimum Confidence

    The “min_confidence” parameter allows you to control the level of confidence of results for Object Detection , Face Detection and Face Recognition

Breaking Changes

  • TRAFFIC API REMOVED

    The traffic api has been removed, a more improved version maybe re-introduced in future versions of DeepStack.

  • GENDER API REMOVED

    The face detection api no longer return gender information, only bounding boxes are now returned. Gender prediction maybe re-introduced in future versions of DeepStack..

DeepStack Beta - Release Notes

DeepStack Beta is more optimized for storage, memory, compute and is more accurate.

Improvements

  • New Fast GPU Version

    We have released the GPU Version of DeepStack, accelerating responses by orders of magnitude if you have an Nvidia GPU. See Using DeepStack with NVIDIA GPU for setup instructions

  • Improved Face Recognition Engine

    The face recognition API is now powered by state-of-the-art face recognition engine.

  • Better error handling and crash recovery

    DeepStack now gracefully handles invalid images and reports errors better.

  • 50% Reduction in Install Size

    The total install size DeepStack is now half the original size.

Breaking Changes

  • ENDPOINT ACTIVATION

    To avoid unneccesary memory usage. Only endpoints you activate are loaded.

    For example, to use any face API, you should run deepstack as below

    sudo docker run -e VISION-FACE=True -v localstorage:/datastore \
    -p 80:5000 deepquestai/deepstack
    

    In this example, you can query all face related APIs, however, you cannot query the object detection API and other endpoints.

    You can activate multiple endpoints at once as below

    sudo docker run -e VISION-FACE=True -e VISION-SCENE=True -e VISION-TRAFFIC=True \
    -v localstorage:/datastore -p 80:5000 deepquestai/deepstack
    
  • FACE RECOGNITION API-MINIMUM CONFIDENCE

    The min_distance parameter has been replaced by min_confidence See Face Recognition for usage instructions

  • FACE RECOGNITION API - DATA INCOMPATIBILITY

    Any faces registered with the Alpha Version is incompatible with this Version. You need to re-register previously registered faces. The new face recognition engine is stable and future releases will remain compatible with this Version.

  • FACE RECOGNITION API - RESPONSES

    Face registeration response has been changed from

    {'predictions': {'message': 'face added'}, 'success': True}
    

    To

    {'message': 'face added', 'success': True}
    

    Face delete response has been changed from

    {'success': True, 'message': 'user deleted successfully'}
    

    To

    {'success': True}
    
  • SCENE AND TRAFFIC API - RESPONSES

    Responses has been changed from

    {'success': True, 'predictions': [{'label': 'conference_room', 'confidence': 73.73981475830078}]}
    

    To

    {'success': True, 'confidence': 73.73981, 'label': 'conference_room'}
    
  • OBJECT DECTION API - SPEED MODES

    Speed Modes have been deprecated.