pliablepixels

import firebase_admin
from firebase_admin import messaging
from firebase_admin import exceptions
from flask import jsonify
import json
from firebase_admin import auth 
from functools import wraps
import jwt
import re

pliablepixels

use_sequence = yes

ml_sequence= {
                'general': {
                        'model_sequence': 'object,face,alpr'

                },
                'object': {
                        'general':{
                                'pattern':'(person)',

pliablepixels

Getting dlandon's docker image to work reliably with a GPU using a nvidia's pre-built CUDA/CuDNN image

Raw notes on what I did to get GPU/CUDA/CuDNN working in dlandon's docker image. Not optimized. So I don't forget later.

There are two ways:

1. Use his docker image which derives from phusion and manually install CUDA/cuDNN. This did not work for me - I got all sorts of segfaults, install errors, driver mismatch errors (even though my host/docker cuda versions were identical). When things worked after various pacakge errors installing cuda, the image failed after a restart. I've come to the conclusion that CuDNN/CUDA install is very sensitive to environments and what works for one person may dramatically fail for the other especially when we are trying to link a host GPU to a docker container. May as well leave this to the experts (nvidia). So the next option:

pliablepixels

import pyzm.api as zmapi

api_options = {
    'apiurl': 'https://yourserver/zm/api',
    'portalurl': 'https://yourserver/zm',
    'user': 'admin',
    'password': 'password',
    'logger': None # use none if you don't want to log to ZM
}

pliablepixels

dbell HTTP hook
===============

dbell HTTP hook usage:
User enter their server parameters, which will be stored in FTP field in http//example.com format, char HttpServer[256];
http server URL address example usage: http://192.168.1.183 where http server IP address is 192.168.1.183
 
Event:
dbell will do an HTTP POST to the server URL anytime someone presses the call button
dbell will do an HTTP POST to the server URL anytime a motion is detected

pliablepixels

All the stuff to get CUDA 10.1 working with NVIDIA GPUs on Ubuntu 18.04. My notes.

Step 1: Install NVIDIA Driver

• sudo apt install nvidia-driver-430
• reboot
• run nvidia-smi. If it does not show your GPU, stop, fix. If this doesn't work, nothing else will (the rest of the stuff will compile, but won't work)

pliablepixels

Moved to https://github.com/pliablepixels/zmMagik

pliablepixels

diff --git a/zmeventnotification.pl b/zmeventnotification.pl
index cd622ab..b20d663 100755
--- a/zmeventnotification.pl
+++ b/zmeventnotification.pl
@@ -41,7 +41,9 @@ use Time::HiRes qw/gettimeofday/;
 use Symbol qw(qualify_to_ref);
 use IO::Select;

-#use Data::Dump qw(dump);
+# debugging only

pliablepixels

import face_recognition
import cv2
import os

my_portal='https://yourserver:yourport/zm'
my_user='admin'
my_pass='yourpass'
my_monitor=11

# src=0 # this is for your first local camera

pliablepixels

# This configuration is only needed for compatibility with zmninja
# Make sure you have enabled headers with sudo a2enmod headers

# If not using VirtualHosts, copy or symlink this file into the Apache config folder
# If using VirtualHosts, then this config must be placed inside the appropriate
# <VirtualHost> directive.

#zmNinja header permissions. Tweak to your needs
Header always set Access-Control-Allow-Credentials true
#zmNinja's WKWebView will set the origin header as localhost:8080