Comments (12)
-
Do you use Linux or Windows?
-
Did you successfully compiled Yolo_mark by using MSVS2015 and OpenCV 2.4.x?
-
Where is created file
yolo_mark.exe
, is thereYolo_mark/x64/Release/
?
from yolo_mark.
Thanks for reply @AlexeyAB
1- I am using Linux
2- Yes I compiled it correctly, using OpenCV 2.4.9. I saw the images of airplanes and birds
3- I don't have file yolo_mark.exe
, there is file yolo_mark.cmd
in /home/abdulrahman/Yolo_mark/x64/Release
from yolo_mark.
From the manual: https://github.com/AlexeyAB/Yolo_mark#yolo_mark
To test, simply run
- on Windows:
x64/Release/yolo_mark.cmd
- on Linux
./linux_mark.sh
So run ./linux_mark.sh
from yolo_mark.
I already ran it, i saw my own images without bounding boxes, cuz I haven't trained yet,
I need to train it with my custom images, I think I did something wrong with the following step (3.2), I think I put the files in wrong directory. Could u tell me what does this mean near with executable darknet-file
3.2 Put files: yolo-obj.cfg, data/train.txt, data/obj.names, data/obj.data, darknet19_448.conv.23 and directory data/img near with executable darknet-file, and start training: darknet detector train data/obj.data yolo-obj.cfg darknet19_448.conv.23
So when I run this
darknet detector train data/obj.data yolo-obj.cfg darknet19_448.conv.23
I got
abdulrahman@abdulrahman-ThinkPad-X230-Tablet:~/Yolo_mark/x64/Release$ darknet detector train data/obj.data yolo-obj.cfg darknet19_448.conv.23
bash: darknet: command not found
from yolo_mark.
I already ran it, i saw my own images without bounding boxes, cuz I haven't trained yet,
At first you should mark all of your images by ./linux_mark.sh
darknet detector train data/obj.data yolo-obj.cfg darknet19_448.conv.23
On linux you should run binary files in a such way: ./darknet
instead of darknet
from yolo_mark.
should I run ./darknet detector train data/obj.data yolo-obj.cfg darknet19_448.conv.23
from ~/Yolo_mark/x64/Release$
As you see in the above pic there is no file ./darknet
how can I run it
from yolo_mark.
For Linux - you should download Darknet for Linux: https://github.com/pjreddie/darknet
Compile it, find the runable file darknet
, put near all files and run ./darknet detector train data/obj.data yolo-obj.cfg darknet19_448.conv.23
from yolo_mark.
I have Darknet, it works properly
So I put the runable file darknet
as in this pic
I ran ./darknet detector train data/obj.data yolo-obj.cfg darknet19_448.conv.23
I got this pic
from yolo_mark.
Put files: yolo-obj.cfg, data/train.txt, data/obj.names, data/obj.data, darknet19_448.conv.23 and directory data/img near with executable darknet-file, but not vice versa :)
https://github.com/AlexeyAB/Yolo_mark#yolo_mark
3.2 Put files: yolo-obj.cfg, data/train.txt, data/obj.names, data/obj.data, darknet19_448.conv.23 and directory data/img near with executable darknet-file, and start training: darknet detector train data/obj.data yolo-obj.cfg darknet19_448.conv.23
Also read this: https://github.com/AlexeyAB/darknet#how-to-train-to-detect-your-custom-objects
from yolo_mark.
When I use to train coco-data sheebans-Air:data sheeban$ detector train cfg/coco.data cfg/yolov3.cfg darknet53.conv.74 -bash: detector: command not found
I am in data directory because when I use sheebans-Air:data sheeban$ ./darknet detector train cfg/coco.data cfg/yolov3.cfg darknet53.conv.74 it throws error darknet directory not found
from yolo_mark.
1. Do you use Linux or Windows? 2. Did you successfully compiled Yolo_mark by using MSVS2015 and OpenCV 2.4.x? 3. Where is created file `yolo_mark.exe`, is there `Yolo_mark/x64/Release/`?
not able to compile .sln in vs in windows :(
from yolo_mark.
Can anybody provide a .exe file?
from yolo_mark.
Related Issues (20)
- Not an issue: EXCELLENT WORK ALEXEY!
- AlexeyAB I need help Can't start training Can anyone help me??? HOT 1
- getting Nan Value while training yolov4 on custom data HOT 1
- polygon labels
- The classifier model be trained in darknet can be called in API?
- Can we review annotations (annotated images using Yolo-mark) using other tools? HOT 1
- German Traffic Sign Detection Benchmark - Annotations
- German Traffic Sign Detection Benchmark - Annotations Issue
- Which files does make edit?
- YOLOv4 annotations bounding box HOT 1
- CUDA out of memory error yolov4 for coco 2017 dataset HOT 1
- no txt files for corresponding image after labeling
- HELP! How to customize my own new button Settings? HOT 2
- Help... cmake error
- How to increase the FPS in real-time streaming?
- Correct Label format
- any macosx version? HOT 1
- What value should yolo4 be set to?
- libtiff update broken the package HOT 1
- Installation on windows 10, visual studio 2015
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