This is the Linux app named Faster R-CNN whose latest release can be downloaded as faster_rcnnsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named Faster R-CNN with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.
- 5. From the OnWorks Linux OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application, install it and run it.
SCREENSHOTS
Ad
Faster R-CNN
DESCRIPTION
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
Programming Language
MATLAB
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/faster-r-cnn.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
