This is the Linux app named MultiPathNet whose latest release can be downloaded as multipathnetsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named MultiPathNet with OnWorks for free.
Segui queste istruzioni per eseguire questa app:
- 1. Scaricata questa applicazione sul tuo PC.
- 2. Entra nel nostro file manager https://www.onworks.net/myfiles.php?username=XXXXX con il nome utente che desideri.
- 3. Carica questa applicazione in tale file manager.
- 4. Avviare l'emulatore online OnWorks Linux o Windows online o l'emulatore online MACOS da questo sito Web.
- 5. Dal sistema operativo OnWorks Linux che hai appena avviato, vai al nostro file manager https://www.onworks.net/myfiles.php?username=XXXXX con il nome utente che desideri.
- 6. Scarica l'applicazione, installala ed eseguila.
IMMAGINI
Ad
MultiPathNet
DESCRIZIONE
MultiPathNet is a Torch-7 implementation of the “A MultiPath Network for Object Detection” paper (BMVC 2016), developed by Facebook AI Research. It extends the Fast R-CNN framework by introducing multiple network “paths” to enhance feature extraction and object recognition robustness. The MultiPath architecture incorporates skip connections and multi-scale processing to capture both fine-grained details and high-level context within a single detection pipeline. This results in improved detection accuracy across various object sizes and categories compared to standard single-path architectures. The repository supports training, evaluation, and visualization for object detection tasks on popular datasets such as PASCAL VOC and MS COCO. It provides pre-trained models for VGG, AlexNet, and ResNet backbones, along with integration for SharpMask and DeepMask proposal generators.
Caratteristiche
- Implements Fast R-CNN and MultiPath object detection in Torch-7
- Multi-scale and multi-path feature extraction for improved detection accuracy
- Supports major backbones: AlexNet, VGG, ResNet, and Inception-v3
- Integrated with SharpMask and DeepMask for region proposal generation
- Multi-GPU and EC2-ready training with data parallelism
- Pre-trained models and scripts for COCO and PASCAL VOC evaluation
Linguaggio di programmazione
C, Lua, Unix Shell
Categorie
This is an application that can also be fetched from https://sourceforge.net/projects/multipathnet.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
