Displaying 1 to 6 from 6 results

pytorch-yolo2 - Convert https://pjreddie.com/darknet/yolo/ into pytorch

  •    Python

Convert https://pjreddie.com/darknet/yolo/ into pytorch. This repository is trying to achieve the following goals. We get the results by using Focal Loss to replace CrossEntropyLoss in RegionLosss.

tensornets - High level network definitions with pre-trained weights in TensorFlow

  •    Python

High level network definitions with pre-trained weights in TensorFlow (tested with >= 1.1.0). You can install TensorNets from PyPI (pip install tensornets) or directly from GitHub (pip install git+https://github.com/taehoonlee/tensornets.git).

darknet2caffe - Convert Darknet model to Caffe's

  •    Python

This model convertor ported from original supports conversion from darkent to caffe, especially for YOLOv2 and tiny-YOLO etc. First, ensure caffe installed (converison progress'll use Python interface of caffe), recommanding using Docker image of bvlc/caffe:cpu instead.




tfjs-tiny-yolov2 - Tiny YOLO v2 object detection with tensorflow.js.

  •    TypeScript

JavaScript object detection in the browser based on a tensorflow.js implementation of tiny yolov2. The face detection model is one of the models available in face-api.js.

GOLOv2 - YOLOv2 for Golang

  •    Go

This projects implements the yolov2 (https://pjreddie.com/darknet/yolov2/) RegionLayer in Go. It is heavily inspired by duangenquan's C++-RegionLayer implementation (https://github.com/duangenquan/YoloV2NCS). This projects makes use of gocv (https://gocv.io) and go-ncs (https://github.com/hybridgroup/go-ncs/), both from hybridgroup (https://github.com/hybridgroup).