A python comtrade load library accelerated by go

Last update: Dec 27, 2021

Related tags

Deep Learning comtrade-gopy

Overview

Comtrade-GRPC

Code for python used is mainly from dparrini/python-comtrade.

Just patch the code in BinaryDatReader.parse for parsing a little more efficiently.

1. Use `comtrade_grpc.py`

Basicly, the raw code in dparrini/python-comtrade is used like this:

from comtrade import Comtrade

rec = Comtrade()
rec.load(cfg_file,dat_file)

With Comtrade-GPRC, you may write like this:

from comtrade import Comtrade

# Passing a grpc_endpoint param will lead to using of parse() func in go with grpc

# 0ms

rec = comtrade_grpc.Comtrade(grpc_endpoint='localhost:50051')
rec.load(cfg_file,dat_file)

# 497.397ms

rec = comtrade_grpc.Comtrade()
rec.load(cfg_file,dat_file)

# 5809.528ms

2. Start grpc server

$cd comtrade_grpc_server_go
$go mod tidy
$go run .

server listening at [::]:50051

3. Make a docker image

Just build the grpc-server.base.dockerfile

Owner

Bo

GitHub Repository

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A python comtrade load library accelerated by go

Related tags

Overview

Comtrade-GRPC

1. Use `comtrade_grpc.py`

2. Start grpc server

3. Make a docker image

Owner

Bo

A benchmark for the task of translation suggestion

Official repo for our 3DV 2021 paper "Monocular 3D Reconstruction of Interacting Hands via Collision-Aware Factorized Refinements".

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Second-order Attention Network for Single Image Super-resolution (CVPR-2019)

This is our ARTS test set, an enriched test set to probe Aspect Robustness of ABSA.

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CR-Fill: Generative Image Inpainting with Auxiliary Contextual Reconstruction. ICCV 2021

Code for the paper: On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations

Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation

Human Dynamics from Monocular Video with Dynamic Camera Movements

The official GitHub repository for the Argoverse 2 dataset.

📚 Papermill is a tool for parameterizing, executing, and analyzing Jupyter Notebooks.

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Code for 'Self-Guided and Cross-Guided Learning for Few-shot segmentation. (CVPR' 2021)'

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A python comtrade load library accelerated by go

Related tags

Overview

Comtrade-GRPC

1. Use comtrade_grpc.py

2. Start grpc server

3. Make a docker image

Owner

Bo

A benchmark for the task of translation suggestion

Official repo for our 3DV 2021 paper "Monocular 3D Reconstruction of Interacting Hands via Collision-Aware Factorized Refinements".

Invasive Plant Species Identification

Second-order Attention Network for Single Image Super-resolution (CVPR-2019)

This is our ARTS test set, an enriched test set to probe Aspect Robustness of ABSA.

Focal Loss for Dense Rotation Object Detection

CR-Fill: Generative Image Inpainting with Auxiliary Contextual Reconstruction. ICCV 2021

Code for the paper: On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations

Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation

Human Dynamics from Monocular Video with Dynamic Camera Movements

The official GitHub repository for the Argoverse 2 dataset.

📚 Papermill is a tool for parameterizing, executing, and analyzing Jupyter Notebooks.

Small utility to demangle Nim symbols in callgrind files

Code for 'Self-Guided and Cross-Guided Learning for Few-shot segmentation. (CVPR' 2021)'

A module that used for encrypt code which includes RSA and AES

PyTorch for Semantic Segmentation

An API-first distributed deployment system of deep learning models using timeseries data to analyze and predict systems behaviour

Project page for our ICCV 2021 paper "The Way to my Heart is through Contrastive Learning"

Pytorch implementation of the unsupervised object discovery method LOST.

StyleGAN - Official TensorFlow Implementation

1. Use `comtrade_grpc.py`