MihailCosmin

#!/bin/bash

### steps ####
# verify the system has a cuda-capable gpu
# download and install the nvidia cuda toolkit and cudnn
# setup environmental variables
# verify the installation
###

### to verify your gpu is cuda enable check

jambonn

1. sudo apt-get install autoconf automake libtool curl make g++ unzip -y
2. Download the appropriate release here:
https://github.com/protocolbuffers/protobuf/releases/tag/v3.5.1 <protobuf-all-3.5.1.tar.gz
>
3. Unzip the folder
4. Enter the folder and run ./autogen.sh && ./configure && make
5. Then run these other commands. They should run without issues:
$ make check
$ sudo make install

Huud

# calculate mean and std deviation

from pathlib import Path
import cv2

imageFilesDir = Path(r'C:\your\dataset\dir\here\trainData')
files = list(imageFilesDir.rglob('*.png'))

# Since the std can't be calculated by simply finding it for each image and averaging like  
# the mean can be, to get the std we first calculate the overall mean in a first run then  

nguyendv

import logging
from logging.handlers import RotatingFileHandler

def setup_logger():
  MAX_BYTES = 10000000 # Maximum size for a log file
  BACKUP_COUNT = 9 # Maximum number of old log files
  
  # The name should be unique, so you can get in in other places
  # by calling `logger = logging.getLogger('com.dvnguyen.logger.example')
  logger = logging.getLogger('com.dvnguyen.logger.example') 

lidizheng

##### server.py start #####
from concurrent import futures
import time
import logging

import grpc

import chunker_pb2
import chunker_pb2_grpc