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From a quick glance through the repo, this is attempting to be an open source alternative to a hosted Vision API like Google Cloud Vision API.

There's not a lot of "there" there yet, an http API layer on top of Tensorflow and YoLo essentially. But looks like a tidy start.

This is a humble start but I'm planning to add more models for object detection (efficientdet for instance), and I'm working as well to add and endpoint for segmentation

This seems much more focused on deep learning.

OpenCV is a large and sprawling compendium of computer vision tools that features a scads and scads of classical algorithms, image processing filters, video processing tools. . . there's even a set of GUI components in there. But not much in the way of deep learning.

Don't think we can compare it to opencv actually. In the context of this projet, opencv can be used as a ML backend the same way I use Tensorflow.

It seems this project is heavily biased towards YOLO. OpenCV has a much broader scope.

Don't think we can compare it to opencv actually. In the context of this projet, opencv can be used as a ML backend the same way I use tensorflow.