mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
34 lines
1.0 KiB
34 lines
1.0 KiB
from __future__ import print_function |
|
import numpy as np |
|
import cv2 |
|
from cv2 import dnn |
|
import timeit |
|
|
|
def prepare_image(img): |
|
img = cv2.resize(img, (224, 224)) |
|
#convert interleaved image (RGBRGB) to planar(RRGGBB) |
|
blob = np.moveaxis(img, 2, 0) |
|
blob = np.reshape(blob.astype(np.float32), (-1, 3, 224, 224)) |
|
return blob |
|
|
|
def timeit_forward(net): |
|
print("OpenCL:", cv2.ocl.useOpenCL()) |
|
print("Runtime:", timeit.timeit(lambda: net.forward(), number=10)) |
|
|
|
def get_class_list(): |
|
with open('synset_words.txt', 'rt') as f: |
|
return [ x[x.find(" ") + 1 :] for x in f ] |
|
|
|
blob = prepare_image(cv2.imread('space_shuttle.jpg')) |
|
print("Input:", blob.shape, blob.dtype) |
|
|
|
cv2.ocl.setUseOpenCL(True) #Disable OCL if you want |
|
net = dnn.readNetFromCaffe('bvlc_googlenet.prototxt', 'bvlc_googlenet.caffemodel') |
|
net.setBlob(".data", blob) |
|
net.forward() |
|
#timeit_forward(net) #Uncomment to check performance |
|
|
|
prob = net.getBlob("prob") |
|
print("Output:", prob.shape, prob.dtype) |
|
classes = get_class_list() |
|
print("Best match", classes[prob.argmax()]) |