Darknet: Retrain YOLOv2 by Augmenting Data (Rotations)

[tarek-mahmoud]

@AlexeyAB

What happens if I change angle = 0 to, say, angle = 90 in the [net] part of the config file below:

[net]
# Testing
batch=1
subdivisions=1
# Training
# batch=64
# subdivisions=8
height=416
width=416
channels=3
momentum=0.9
decay=0.0005
angle=0
saturation = 1.5
exposure = 1.5
hue=.1

The reason I am interested in this is that I want to retrain YOLO with rotated data. I need this for satellite imagery.

[AlexeyAB]

Currently angle= isn't supported for Yolo (Detector).

Angle supported only for Classifier.