Auxilary scripts to work with (YOLO) darknet deep learning famework. AKA -> How to generate YOLO anchors?
This repo contains my auxilary scripts to work with darknet deep learning famework 1. How to compute/reproduce YOLOv2 anchors for yolo-voc.cfg? 2. How to visualize genereted anchors? 3. Is gen_anchors.py same as YOLOv2 anchor computation? 4. How to get anchors if My input for network is bigger than 416? 5. How to plot YOLO loss 6. YOLO and Anchors tutorial
Download The Pascal VOC Data and unpack it to directory
build\darknet\x64\data\vocwill be created dir
build\darknet\x64\data\voc\VOCdevkit\:
1.1 Download file
voc_label.pyto dir
build\darknet\x64\data\voc: http://pjreddie.com/media/files/voc_label.py
Download and install Python for Windows: https://www.python.org/ftp/python/2.7.9/python-2.7.9rc1.amd64.msi
Run command:
python build\darknet\x64\data\voc\voc_label.py(to generate files: 2007test.txt, 2007train.txt, 2007val.txt, 2012train.txt, 2012_val.txt)
Run command:
type 2007_train.txt 2007_val.txt 2012_*.txt > train.txt
Obtain anchors5.txt in generatedanchors/voc-reproduce folder by executing: ```cmd python genanchors.py -filelist //path//to//voc//filelist/list//train.txt -outputdir generatedanchors/voc-reproduce -num_clusters 5 ```
After completing the steps above, execute
cmd python visualize_anchors.py -anchor_dir generated_anchors/voc-reproduce
Simply change the lines here https://github.com/Jumabek/darknetscripts/blob/master/genanchors.py#L17 to your input dimension. Then compute the anchors.
In order to plot a loss, you first need a log of the darknet train command
For example,below command will save the log into log/aggregate-voc-tiny7.log
cmd darknet.exe detector train data/aggregate-voc-tiny7.data cfg/aggregate-voc-tiny7.cfg backup/aggregate-voc-tiny7/aggregate-voc-tiny7_21000.weights >> log/aggregate-voc-tiny7.log -gpus 0,1Once you have \path\to\log\aggregate-voc-tiny7.log, plot the loss by executing
cmd python plot_yolo_log.py \\path\\to\\log\\aggregate-voc-tiny7.log