Difference between revisions of "Camera detect"

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=Outline=
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==Outline==
 
This website outlines the work we have been doing to analyse images for objects.
 
This website outlines the work we have been doing to analyse images for objects.
=Case study 1 - Troups Creek Duck Counting=
+
==Want to use this package and trial it?==
To ensure that CT stays with us forever, we needed to have a way to automatically count ducks (she previously manually counted 1 million cows for us from individual pictures...and we were worried that she would run away when we told her about counting ducks at Troups Creek). So we found this awesome program called YoloV3 and decided to see if this model (trained on a generically available database).
 
<br><br>
 
 
Steps to recreate this process is as follows on a linux operating system (largely following https://pjreddie.com/darknet/yolo/):
 
Steps to recreate this process is as follows on a linux operating system (largely following https://pjreddie.com/darknet/yolo/):
 
<li>Clone the gihub repo - git clone https://github.com/pjreddie/darknet.git then cd darknet then make</li>
 
<li>Clone the gihub repo - git clone https://github.com/pjreddie/darknet.git then cd darknet then make</li>
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<br>
 
<br>
 
Please navigate here: http://114.142.160.204/~bosl/image_detect/camera_analysis.php
 
Please navigate here: http://114.142.160.204/~bosl/image_detect/camera_analysis.php
 +
==Case study 1 - Troups Creek Duck Counting==
 +
To ensure that CT stays with us forever, we needed to have a way to automatically count ducks (she previously manually counted 1 million cows for us from individual pictures...and we were worried that she would run away when we told her about counting ducks at Troups Creek). So we found this awesome program called YoloV3 and decided to see if this model (trained on a generically available database).
 +
<br><br>

Revision as of 16:19, 17 March 2023

Outline

This website outlines the work we have been doing to analyse images for objects.

Want to use this package and trial it?

Steps to recreate this process is as follows on a linux operating system (largely following https://pjreddie.com/darknet/yolo/):

  • Clone the gihub repo - git clone https://github.com/pjreddie/darknet.git then cd darknet then make
  • Grab the pre-trained weights - wget https://pjreddie.com/media/files/yolov3.weights
  • Then begin to play - e.g. ./darknet detect cfg/yolov3.cfg yolov3.weights data/dog.jpg

  • We now can optimise the system to begin playing further. We have set this as a web interface to allow some playing around.
    Please navigate here: http://114.142.160.204/~bosl/image_detect/camera_analysis.php

    Case study 1 - Troups Creek Duck Counting

    To ensure that CT stays with us forever, we needed to have a way to automatically count ducks (she previously manually counted 1 million cows for us from individual pictures...and we were worried that she would run away when we told her about counting ducks at Troups Creek). So we found this awesome program called YoloV3 and decided to see if this model (trained on a generically available database).