Difference between revisions of "Camera detect"
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==Want to use this package and trial it?== | ==Want to use this package and trial it?== | ||
We have installed this onto our server. Please navigate here and have some fun: <li>http://114.142.160.204/~bosl/image_detect/camera_analysis.php</li> | We have installed this onto our server. Please navigate here and have some fun: <li>http://114.142.160.204/~bosl/image_detect/camera_analysis.php</li> | ||
| + | You can use this site to analyse up to five of your own photos at a time. You can also change the accuracy threshold. | ||
<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/): | ||
Revision as of 16:38, 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?
We have installed this onto our server. Please navigate here and have some fun:
You can use this site to analyse up to five of your own photos at a time. You can also change the accuracy threshold.
Steps to recreate this process is as follows on a linux operating system (largely following https://pjreddie.com/darknet/yolo/):
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).
