i.g.
net = cv.dnn.readNet(caffemodel, prototxt)
img = ...
blob = cv.dnn.blobFromImage(img, scale, (227, 227), mean, isrgb, cropFromCenter)
net.setInput(blob)
A, B = net.forward([ "A", "B" ])
1 | initial version |
i.g.
net = cv.dnn.readNet(caffemodel, prototxt)
img = ...
blob = cv.dnn.blobFromImage(img, scale, (227, 227), mean, isrgb, cropFromCenter)
net.setInput(blob)
A, B = net.forward([ "A", "B" ])
2 | retagged |
i.g.
net = cv.dnn.readNet(caffemodel, prototxt)
img = ...
blob = cv.dnn.blobFromImage(img, scale, (227, 227), mean, isrgb, cropFromCenter)
net.setInput(blob)
A, B = net.forward([ "A", "B" ])