#Camerafeed A simple app (or can be used as a module) to track people as they move in a video. You can also draw "triplines" that will emit events when a person crosses them. You can use the camerafeed module in your own app or you can run it as a stand-alone app that pulls from settings.ini.
##Getting Started
- First things first, you gotta install Python 3.4+ and OpenCV 3.0+. Luckily, computer vision expert Adrian has made his fantastic tutorials available.
- Clone the repo:
$ git clone [email protected]:liquidg3/Camerafeed.git
- Jump into the repo
$ cd Camerafeed - Install additional dependencies
$ pip setup.py develop
- Run the app
$python run.py
##Settings
Checkout settings.ini for everything you can customize when running Camerafeed as an app.
[video_source]
#the video to load (put 0 to use your computer's camera)
source : footage/sample-trimmed.m4v#the following are for cropping the video (try and only show parts you need)
frame_x1 : 250
frame_y1 : 40
frame_x2 : 550
frame_y2 : 240#set a max width and the video will be proportionality scaled to this size (smaller is usually better)
max_width : 500#black and white?
b_and_w : False#settings for hog.detectMultiScale
[hog]
win_stride : 4
padding : 6
scale : 1.05#use background removal
[mog]
enabled : False#when tracking a person
[person]
life : 20 #how many frames to wait before considering the person gone
max_distance : 50 #how far can a person move between detections?#for crossing lines
[triplines]
total_lines = 1
line1_start : (100,60)
line1_end : (200, 160)
line1_buffer : 10
line1_direction_1: north
line1_direction_2: southline2_start : (50,180)
line2_end : (200, 150)
line2_buffer : 10
line2_direction_1: out
line2_direction_2: in
##Recommended Reading
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent