darknetpy is a simple binding for darknet's yolo (V2 only) detector.
Works with Python 3.x only.
pip install darknetpy
GPU=1 pip install darknetpy
to build with CUDA to accelerate by using GPU (CUDA should be in /use/local/cuda).
CUDNN=1 pip install darknetpy
to build with cuDNN to accelerate training by using GPU (cuDNN should be in /usr/local/cudnn).
OPENCV=1 pip install darknetpy
to build with OpenCV.
OPENMP=1 pip install darknetpy
to build with OpenMP support to accelerate Yolo by using multi-core CPU.
In example.py:
from darknetpy.detector import Detector
detector = Detector('<absolute-path-to>/darknet',
'<absolute-path-to>/darknet/cfg/coco.data',
'<absolute-path-to>/darknet/cfg/yolo.cfg',
'<absolute-path-to>/darknet/yolo.weights')
results = detector.detect('<absolute-path-to>/darknet/data/dog.jpg')
print(results)
Runing:
python example.py
Result:
[{'right': 194, 'bottom': 353, 'top': 264, 'class': 'dog', 'prob': 0.8198755383491516, 'left': 71}]