Go Object Detection Package (YOLO V3)

• gocv

  13 6,277 6.6 Go

  Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, and OpenCV Contrib.

  

The repo leverages gocv and can be run using CUDA(performance results here). If there's any interest I can create one for YOLO V4 as well.

• yolov3

  2 77 4.7 Go

  Go implementation of the yolo v3 object detection system (by wimspaargaren)

The repo leverages gocv and can be run using CUDA(performance results here). If there's any interest I can create one for YOLO V4 as well.

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• yolov5

  129 46,738 8.9 Python

  YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

  

Only an enthusiast but since yolo only states 50fps in an example as a metric to go off of I can only speculate comparisons to yolov5. I'd assume go is slightly faster being a compiled program but not by much since python is acting like a glorified scripting language and the wrapper is doing almost all the work. Go would have a faster inference for small to medium sized loads but python can compensate with batch inference with large sized loads resulting in an insignificant difference. Where go could really excell is if you wanted to make a microservice or something.

• odam

  2 31 0.0 Go

  ODAM - Object detection and Monitoring

I'm working on similar project (yolov4): https://github.com/LdDl/odam But, I'm using gocv.Mat -> darknet-based image (go darknet bindings) conversion.

Suggest a related project