maskrcnnbenchmarkgithub

This project aims at providing the necessary building blocks for easily creating detection and segmentation models using PyTorch 1.0. INSTALL.md · Issues 500 · Pull requests 30 · Actions

Faster R-CNN pretrained on VisualGenome. This repository modifies maskrcnn-benchmark for object detection and attribute prediction on VisualGenome dataset.

Installation Requirements: Option 1: Step-by-step installation. First, make sure that your conda is setup properly with the right environment.

End-to-end Faster and Mask R-CNN baselines. All the baselines were trained using the exact same experimental setup as in Detectron.

This repository contains the code used for the detection models used in SeedQuant, an automatic computer vision tool to detect and count parasitic seeds.

Faster R-CNN and Mask R-CNN in PyTorch 1.0. This project aims at providing the necessary building blocks for easily creating detection and segmentation models ...

This project aims at providing the necessary building blocks for easily creating detection and segmentation models using PyTorch 1.0.

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

Faster R-CNN and Mask R-CNN in PyTorch 1.0. This project aims at providing the necessary building blocks for easily creating detection and segmentation models ...

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.