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

Code for our paper "Interactive Analysis of CNN Robustness"

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Source code for "Roto-translated Local Coordinate Framesfor Interacting Dynamical Systems"

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Use CLIP to represent video for Retrieval Task

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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

Code for our paper "Interactive Analysis of CNN Robustness"

FairMOT for Multi-Class MOT using YOLOX as Detector

Publication describing 3 ML examples at NSLS-II and interfacing into Bluesky

Video Matting via Consistency-Regularized Graph Neural Networks

This repository contains the code for the ICCV 2019 paper "Occupancy Flow - 4D Reconstruction by Learning Particle Dynamics"

Computing Shapley values using VAEAC

Source code for "Roto-translated Local Coordinate Framesfor Interacting Dynamical Systems"

This app is a simple example of using Strealit to create a financial data web app.

Code for ICCV2021 paper SPEC: Seeing People in the Wild with an Estimated Camera

Revisting Open World Object Detection

Use CLIP to represent video for Retrieval Task

Rethinking Transformer-based Set Prediction for Object Detection

Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image", ICCV 2019

[cvpr22] Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation

Deal or No Deal? End-to-End Learning for Negotiation Dialogues

S2s2net - Sentinel-2 Super-Resolution Segmentation Network

A PyTorch-based open-source framework that provides methods for improving the weakly annotated data and allows researchers to efficiently develop and compare their own methods.

Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System

Code accompanying "Adaptive Methods for Aggregated Domain Generalization"

Learning where to learn - Gradient sparsity in meta and continual learning

1. Use `comtrade_grpc.py`