zabir-nabil

import grpc

# import the generated classes
import image_procedure_pb2
import image_procedure_pb2_grpc

# data encoding

import numpy as np 
import base64

zabir-nabil

import grpc
from concurrent import futures
import time

import image_procedure

# import the generated classes
import image_procedure_pb2
import image_procedure_pb2_grpc

zabir-nabil

syntax = "proto3";

// input image, width, height
message B64Image {
    string b64image = 1;
    int32 width = 2;
    int32 height = 3;
}

// output prediction

zabir-nabil

import numpy as np 
import base64
import zlib
import requests
import time

t1 = time.time()
for _ in range(1000):

    frame = np.random.randint(0,256, (416,416,3), dtype=np.uint8) # dummy rgb image

zabir-nabil

from flask import Flask, request
from flask_restful import Resource, Api, reqparse
import json
import numpy as np
import base64


# compression
import zlib

zabir-nabil

# filename: bibtex2item.py
# python bibtex2item.py
# keep the bibtex in refs.bib file

def convert(bibtex):
    bibitem = ''
    r = bibtex.split('\n')
    i = 0
    while i < len(r):
        line = r[i].strip()

zabir-nabil

zabir-nabil

import numpy as np
import math
import cv2

def rotate_image(image, angle):
    image_center = tuple(np.array(image.shape[1::-1]) / 2)
    rot_mat = cv2.getRotationMatrix2D(image_center, angle, 1.0)
    result = cv2.warpAffine(image, rot_mat, image.shape[1::-1], flags=cv2.INTER_LINEAR)
    return result

zabir-nabil

//STL CONTAINER Deque
#include <bits/stdc++.h>

#define p_d_i(d) for(deque<int>::iterator it= d.begin();it!=d.end();it++)cout<<*it<<" ";cout<<endl;
using namespace std;

int main()
{
    //same as vector
    deque<int>d1;