try this wonder at this site
http://darknet.shaunhusain.com/
How to Use Custom Tiny YOLOv2 Model on Android
http://seangtkelley.me/blog/2017/12/2...
http://i-learn-machine-learning.science/
try it live with webcam here now no need of installing any code or any thing now you can use object detection directly on the browser good for all lazy porogrammers out there try it out in this site with a web cam
https://github.com/ModelDepot/tfjs-yo...
https://modeldepot.github.io/tfjs-yol...
use yolo darknet without installing in browser for image detection and nightmare and deep dream without install any software or run ay code do object detection without any pain watch this video and follow this website
• use yolo v4 darknet without installin...
• use yolo v4 darknet without installin...
How to Use Custom Tiny YOLOv2 Model on Android
http://seangtkelley.me/blog/2017/12/2...
http://i-learn-machine-learning.science/
https://www.youtube.com/edit?video_id...
for easy annotation for yolo and to make easy annotation and to convert it to yol format use these software below these saves you a lot time and yoy can skip the process of using converting.py if you have these software and very easy to use because they directly convert it to yolo format here are the website just download install and use them these will reall save you a lot time the websites are below
this first one is the best software the yolo boobs only thing youy have to do is you have to name the files as 1,2,3,4,5 and
save a files with the classes and what you are custom detecting as dog ,cat , and etc and it is important and madatory to save these file as classes.txt or else you cat annotate and and cant convert to yolo format here isthe code and the websiet this is easy as pie and just run the boobs.html and select the classes.txt now annotate and save it you have your yolo format for custom object detection without any pain
https://github.com/drainingsun/boobs
/ boobs-yolo-bbox-annotation-tool
or use this yolo -mark another tool which save times as boobs the yolo mark
https://github.com/AlexeyAB/Yolo_mark
* : ) so now you can cont on boobs for yolo : )*********
friends for a seem less gpu acceleration
try to make the file in vim as command given below
$ vi Makefile
now it gets into the vim editor now press insert in your keyboard and now change the GPU = 0 to GPU =1 and CUDNN=1 and OPENCV =1 then
get to the bottom of the vim editor and press esc
and type
:wq and press enter
now it gets out of the vim editor and now
type
$ make -j4
let it finish and now you can start the training and make sure you have entered the path of test and train files correctly then for cfg best to choose tiny-yolo.cfg or yolo-voc.2.0.cfg and change the classes as one or two according to the number of objects you want to detect and change the filters above the classes to filter=35 for recogonizing 2 and filter 18 for 1
and type the following command for training after training give the test commands the train and test commands are below
for trainig give the command with correct path below
$ ./darknet detector train /home/saktheeswaran/darknet/data/obj.data /home/saktheeswaran/darknet/cfg/tiny-yolo.cfg /home/saktheeswaran/darknet/darknet19_448.conv.23
for testing put the weights and start the training as below
$./darknet detector test /home/saktheeswaran/darknet/data/obj.data /home/saktheeswaran/darknet/cfg/yolo-voc.2.0.cfg yolo-voc_100.weights data/5.JPEG
these commands depend on the user name and location of these files
in Linux users use my tutorial is very easy without coding just follow the procedures for windows I will give you the below to use in Windows made by other people it is so wonderful tutorial
• complete yolo v3 yolo v4 custom objec...
Yolo object detection in Linux is easy but in Windows it is somewhat hard so you have to understand it it is similar to Linux the cmake is for building The darknet executable and you should know that the below tutorials on Windows could help you made by excellent people they have made the best with this tutorial but Windows user and sorryit's best that you go with Linux if you are good in Windows visual studio you can use the below tutorials which are very good
Windows yolov3 custom object detection
[1/18, 19:02] bolacalculus: • YOLOv3 Object Detection with Darknet ...
[1/18, 19:02] bolacalculus: • Train YOLOv3 Custom Object Detector w...
[1/18, 19:03] bolacalculus: • YOLOv3 Object Detection
[1/18, 19:03] bolacalculus: • Computer Vision
[1/18, 19:04] bolacalculus: • Create Labels and Annotations for Cus...
[1/18, 19:04] bolacalculus: • How to Build an Object Detection Clas...
[1/18, 19:05] bolacalculus: • How to Build an Object Detection Clas...
[1/18, 19:07] bolacalculus: https:/
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