核心内容摘要
探索付费满足的边界：一场关于渴望与选择的深度对话
代码import cv2 import numpy as np import time def super_sample(file, scale, count): print print(file, scale, count) # 读取图像 img cv
imread(file) start_time time.time() for index in range(count): # 双三次插值 bicubic cv
resize(img, None, fxscale, fyscale, interpolationcv
INTER_CUBIC) print(CUBIC cost time: %.2f ms % ((time.time()-start_time)*1000/count)) # cv
imwrite(cv2-CUBIC.jpg, bicubic) start_time time.time() for index in range(count): # Lanczos插值 lanczos cv
resize(img, None, fxscale, fyscale, interpolationcv
INTER_LANCZOS
print(LANCZOS4 cost time: %.2f ms % ((time.time()-start_time)*1000/count)) # cv
imwrite(cv2-LANCZOS
jpg, lanczos) count 1000 file1 1280x
png super_sample(file1, 2, count) super_sample(file1, 3, count) file2 1920x
png super_sample(file2, 2, count) super_sample(file2, 3, count)测试结果在虚拟机中测试的。
1280x7202x23x3CUBIC
2.
1
83LANCZOS
410.
4
891920x10802x23x3CUBIC
4.
4
00LANCZOS
424.
2