convert weights

[markvex]

Hey,

1. in create_yolo_prototxt.py in case of convolution layer , in case of activation = leaky , the implementation in darknet is x>0 ? x : 0.1 * x, so this means that in the prototxt in Relu layer should be also negative_slope: 0.1, or am i missing something? 2)after converting yolov1-tiny.cfg to prototxt and the tiny-yolov1.weights into caffe model weights when i run the yolo_main.py - i am getting very different results from the original darknet. i read the darknet implementation and the create_yolo_caffemodel.py and the caffe implementation and everything looks ok, what am i missing?

thank you