All Projects → DeepLearnPhysics → Dynamic Gcnn

DeepLearnPhysics / Dynamic Gcnn

Licence: mit
Dynamic Graph Convolutional Neural Network for 3D point cloud semantic segmentation

Programming Languages

python
139335 projects - #7 most used programming language

Projects that are alternatives of or similar to Dynamic Gcnn

Brain Tumor Segmentation Keras
Keras implementation of the multi-channel cascaded architecture introduced in the paper "Brain Tumor Segmentation with Deep Neural Networks"
Stars: ✭ 20 (-52.38%)
Mutual labels:  convolutional-neural-networks
Tensorflow Srgan
Tensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)
Stars: ✭ 33 (-21.43%)
Mutual labels:  convolutional-neural-networks
Tensorflowhandwritingrecognition
Using Tensorflow to classify the NIST Dataset 19 (Handwriting)
Stars: ✭ 39 (-7.14%)
Mutual labels:  convolutional-neural-networks
Deep learning projects
Stars: ✭ 28 (-33.33%)
Mutual labels:  convolutional-neural-networks
Pathology Images Analysis Using Cnn
Scripts for https://www.nature.com/articles/s41598-018-27707-4, using Convolutional Neural Network to detect lung cancer tumor area
Stars: ✭ 31 (-26.19%)
Mutual labels:  convolutional-neural-networks
Constrained attention filter
(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks
Stars: ✭ 36 (-14.29%)
Mutual labels:  convolutional-neural-networks
Traffic Sign Classifier
Udacity Self-Driving Car Engineer Nanodegree. Project: Build a Traffic Sign Recognition Classifier
Stars: ✭ 12 (-71.43%)
Mutual labels:  convolutional-neural-networks
Yann
This toolbox is support material for the book on CNN (http://www.convolution.network).
Stars: ✭ 41 (-2.38%)
Mutual labels:  convolutional-neural-networks
Deepmodels
TensorFlow Implementation of state-of-the-art models since 2012
Stars: ✭ 33 (-21.43%)
Mutual labels:  convolutional-neural-networks
Pro gan pytorch Examples
Examples trained using the python pytorch package pro-gan-pth
Stars: ✭ 39 (-7.14%)
Mutual labels:  convolutional-neural-networks
Keras Faster Rcnn
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Stars: ✭ 28 (-33.33%)
Mutual labels:  convolutional-neural-networks
Lane Detector
This repository is for my article "Tutorial: Build a lane detector" published on Medium.
Stars: ✭ 31 (-26.19%)
Mutual labels:  convolutional-neural-networks
Reading comprehension tf
Machine Reading Comprehension in Tensorflow
Stars: ✭ 37 (-11.9%)
Mutual labels:  convolutional-neural-networks
Price prediction lob
Deep learning for price movement prediction using high frequency limit order data
Stars: ✭ 27 (-35.71%)
Mutual labels:  convolutional-neural-networks
Picasso
🎨 A CNN visualizer
Stars: ✭ 1,001 (+2283.33%)
Mutual labels:  convolutional-neural-networks
Cs231n Project
CNN accelerator
Stars: ✭ 15 (-64.29%)
Mutual labels:  convolutional-neural-networks
Teacher Student Training
This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.
Stars: ✭ 34 (-19.05%)
Mutual labels:  convolutional-neural-networks
Jsi Gan
Official repository of JSI-GAN (Accepted at AAAI 2020).
Stars: ✭ 42 (+0%)
Mutual labels:  convolutional-neural-networks
Hardhat Detector
A convolutional neural network implementation of a script that detects whether an individual is wearing a hardhat or not.
Stars: ✭ 41 (-2.38%)
Mutual labels:  convolutional-neural-networks
Textclassifier
Text classifier for Hierarchical Attention Networks for Document Classification
Stars: ✭ 985 (+2245.24%)
Mutual labels:  convolutional-neural-networks

dgcnn

This is an implementation of 3D point cloud semantic segmentation for Dynamic Graph Convolutional Neural Network. The number of edge convolution layers, fully connected layers, and number of filters per each layer are all configurable. The implementation includes a few variations such as residual unit (edge convolution with identity mapping), with or without fully connected layers, etc.. Experimental results on DeepLearnPhysics open data set will be made available.

Requirements

  • tensorflow >= v1.3
  • numpy >= 1.13
  • Optional requirements for IO include h5py, larcv

Help

An executable script can be found at bin/dgcnn.py. The script takes train or inference arguments. Try --help to list available arguments:

bin/dgcnn.py train --help

How to run

Below is an example of how to train the network using mydata.hdf5 data file with hdf5 format, 4 GPUs with batch size 24 and mini-batch size of 6, store snapshot every 500 iterations, print out info (loss,accuracy,etc) every 10 iterations, and store tensorboard summary every 50 iterations.

bin/dgcnn.py train --gpus 0,1,2,3 -bs 24 -mbs 6 -chks 500 -rs 10 -ss 50 -if mydata.hdf5 -io h5

See --help to find more flags and a descipriton for arguments.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].