FIX: Docker

Author: prathamsss

Dockerfile

@@ -1,5 +1,5 @@
 FROM ubuntu
-# FROM python:3.9
+FROM python:3.9
 
 LABEL MAINTAINER "pratham.sardeshmukh@gmail.com"
 

README.md

@@ -1,8 +1,15 @@
-# Video Analytics Using AWS Rekognition API
 
-### Installation:
-        
-            pip install -r requirements.txt
+# Video Analytics Pipeline - Serving Multiple models Together
+
+Hey Thanks for giving me this oppotunity for test at Xihlem Robotics.
+Here I have presented sample of my recent python project. 
+
+AIM : Motivation to develop this system was to do video analytics on any
+Objective: 
+ 1. 
+ 2. Objective of this project is to have a system where Video Analytics can done in the cloud via streamming video from any source to cloud. In this Video analytics pipeline
+there are multiple models such as Face detection, object detection, static person detection working toghther in parallel, inference is done in parallel.
+
 
 Va module costumes frames using AWS KVS => Applies detection algorithms on frames => pumps output into KDS Consumer  
 Hence, it has for following features:

docker cmds.txt

@@ -1,5 +1,6 @@
 1. Build KVS Locally:
 2. Then launch.
 
-export
+export GST_PLUGIN_PATH=/opt/amazon-kinesis-video-streams-producer-sdk-cpp/build export LD_LIBRARY_PATH=/opt/amazon-kinesis-video-streams-producer-sdk-cpp/open-source/local/lib
+
 gst-launch-1.0 v4l2src do-timestamp=TRUE device=/dev/video0 ! videoconvert ! video/x-raw,format=I420,width=640,height=480,framerate=30/1 ! x264enc  bframes=0 key-int-max=45 bitrate=500 ! video/x-h264,stream-format=avc,alignment=au,profile=baseline ! kvssink stream-name="testapp" storage-size=512 access-key="AKIAU7NAZHMYB6H2VJ7S" secret-key="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" aws-region="us-west-2"