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  1. Forked from pjreddie/darknet

    YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

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  3. Light version of convolutional neural network Yolo v3 & v2 for objects detection with a minimum of dependencies (INT8-inference, BIT1-XNOR-inference)

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  4. We make any object thread-safe and std::shared_mutex 10 times faster to achieve the speed of lock-free algorithms on >85% reads

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  5. OpenCV trained detection models: Haar, HOG and other

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  6. Forked from frischzenger/yolo-windows

    a yolo windows version(for object detection)

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522 contributions in the last year

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Contribution activity

November 2020

Created 6 repositories

Created a pull request in tensorflow/tfhub.dev that received 9 comments

Added MiDaS v2.1

Update MiDaS v2 to v2.1: https://github.com/intel-isl/MiDaS#accuracy Large model: +10% accuracy Small model: 50x times faster than previous small …

+256 −0 9 comments
Opened 3 other pull requests in 3 repositories
tensorflow/tfhub.dev
1 merged
tensorflow/hub
1 closed
pytorch/hub
1 merged
Opened 1 issue in 1 repository

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