darknet_letters
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Table des matières
Darknet Letters
font_0_h 0.37 0.31 0.18 0.18
font_0_l 0.07 0.27 0.13 0.13
font_0_t 0.44 0.14 0.1 0.1
font_0_C 0.54 0.49 0.13 0.13
font_0_O 0.27 0.95 0.21 0.21
De l'Intelligence artificielle pour reconnaitre des lettres dans différentes polices, et en faire des cauchemars et de la musique en midi.
Les sources sur GitHub
Ressources
How to detect your custom objects
Pre-trained weights
wget -c https://pjreddie.com/media/files/darknet53.conv.74
Fichier *.cfg
For training for both small and large objects use modified models:
Full-model: 5 yolo layers:
https://raw.githubusercontent.com/AlexeyAB/darknet/master/cfg/yolov3_5l.cfg
change line batch to batch=64 change line subdivisions to subdivisions=8 change line max_batches to (classes*2000), soit 800 000 change line steps to 80% and 90% of max_batches, f.e. steps=640000,720000 change line classes=80 to your number of objects in each of 3 [yolo]-layers: Line 610 Line 696 Line 783 classes=400 change [filters=255] to filters=(classes + 5)x3 in the 3 [convolutional] before each [yolo] layer Line 603 Line 689 Line 776 filters = (classes + 5)x3 = (400 + 5) * 3 = 1215 Distinction main gauche main droite ligne 17 flip = 0
darknet_letters.1565093768.txt.gz · Dernière modification : 2019/08/06 12:16 de serge