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This repository provides a MATLAB / Caffe re-implementation of the Faster R-CNN object detection framework (originally from Ren et al. 2015). The Faster R-CNN architecture combines a Region Proposal Network (RPN) with a Fast R-CNN style detection network to share convolutional feature maps and thus speed up detection. The repo includes code to train, test, and deploy Faster R-CNN models under the MATLAB / Caffe environment, example configuration files, and model checkpoints.
Features
- Shared convolutional backbone for proposals + detection
- Region Proposal Network (RPN) for generating object proposals
- End-to-end training of proposal + detector
- Multiple configuration files for different datasets and architectures
- Support for fine-tuning existing models
- Evaluation scripts for mAP and detection metrics
Project Samples
Categories
Computer Vision LibrariesLicense
MIT LicenseFollow Faster R-CNN
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