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

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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

SimDeblur is a simple framework for image and video deblurring, implemented by PyTorch

Predictive Maintenance LSTM

PyTorch implementation for "Sharpness-aware Quantization for Deep Neural Networks".

Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search

MASS (Mueen's Algorithm for Similarity Search) - a python 2 and 3 compatible library used for searching time series sub-sequences under z-normalized Euclidean distance for similarity.

Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution

Official repository of "BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment"

x-transformers-paddle 2.x version

Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.

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Boundary-aware Transformers for Skin Lesion Segmentation

Pytorch domain adaptation package

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1. Use `comtrade_grpc.py`