v0.1.1 release

Bug fixes

• image read-write using PIL and requests
• Support with syntax
• Division by zero error
• Start adding unit-tests
• Add package to PyPi

v0.1.0 release

first release of imsearch.

What's included?

• The framework includes API to create search-index and add images with single and bulk mode. Both local image path and URL are supported.
• Backend uses Yolo-v3 object detector trained on COCO dataset
• The framework search uses object wise similarity with cosine distance in resnet50 feature space.
• An efficient cross-platform similarity search library NMSLIB is used.
• Redis is used as a messaging queue between feature extractor and core engine.
• MongoDB is used to store the meta-data of all the indexed images.
• HD5 file system is used to store the feature vectors extracted from indexed images.

Plans for v0.2.0

• Add unit-tests using nose2 & unittest testing framework
• Add support for cloud storage services to store images (AWS S3, Google Cloud Storage)
• Add support for multi-threading or multi-processing in feature extractor back-end.
• Add documentation