int main(int argc, const char* argv[]){ // read image cv::Mat img = cv::imread("../imori.jpg", cv::IMREAD_COLOR); // bilinear cv::Mat out = bilinear(img, 10.0, 10.0, false); cv::Mat out_align = bilinear(img, 10.0, 10.0, true); //cv::imwrite("out.jpg", out); cv...
def bilinear_interpolation(img, new_h, new_w): """ get nearest_neighbor_interpolation for image, can up or down scale image into any ratio param: img: input image, grady image, 1 channel, shape like [512, 512] param: new_h: new image height param: new_w: new image width return ...
双三次插值 (Bicubic interpolation) 双三次插值是用原图像中16(4*4)个点计算新图像中1个点,效果比较好,但是计算代价过大。 双线性插值 (Bilinear Interpolation) 使用一个点进行插值过于粗暴,16个点又过于繁琐,那就使用E点周围4个点的数值来近似求解,这是一种平衡了计算代价和插值效果的折中方案,也是各大...
image_scale = bilinear_interpolation_naive(image, (256, 256)) fig, axes = plt.subplots(1, 2, figsize=(8, 10)) axes = axes.flatten() axes[0].imshow(image) axes[1].imshow(image_scale) axes[0].axis([0, image.shape[1], image.shape[0], 0]) axes[1].axis([0, image_scale.sha...
ImageContainerNearest 和 ImageContanerBilinear 类可以用来重采样刈幅数据集和栅格数据集。下面是使用最近邻法示例。 >>> import numpy as np >>> from pyresample import image, geometry >>> area_def = geometry.AreaDefinition('areaD', 'Europe (3km, HRV, VTC)', 'areaD', ...
plt.imshow(my_cloud, interpolation='bilinear') # 显示设置词云图中无坐标轴 plt.axis('off') plt.show() 词云图: 三、pyecharts库的WordCloud绘制词云 pyecharts是基于echarts的python库,能够绘制多种交互式图表,和其他可视化库不一样,pyecharts支持链式调用。
interpolation method: INTER_NEAREST- a nearest-neighbor interpolation INTER_LINEAR- a bilinear interpolation (used by default) INTER_AREA- resampling using pixel area relation. It may be a preferred method for image decimation, as it gives moire’-free results. But when the image is zoomed, it...
im = mpimg.imread("../images/lena_small.jpg") # read the image from disk as a numpy ndarray methods = ['none', 'nearest', 'bilinear', 'bicubic', 'spline16', 'lanczos'] fig, axes = plt.subplots(nrows=2, ncols=3, figsize=(15, 30), subplot_kw={'xticks': [], 'yticks': ...
除了Image.ANTIALIAS还有如下值: NEAREST: use nearest neighbour BILINEAR: linear interpolation in a 2x2 environment BICUBIC:cubic spline interpolation in a 4x4 environment ANTIALIAS:best down-sizing filter '''#水印(这里仅为图片水印)defwaterMark(**args): ...
Image.BILINEAR:双线性 Image.BICUBIC :三次样条插值 Image.ANTIALIAS:高质量 获取图片属性: import osfrom PIL import Imagepath = os.path.join(os.getcwd(),"d:\\ccb.png")img = Image.open(path)>>> print(img.format)PNG>>> print(img.size)(3307, 2244)>>> print(img.mode)RGBA>>> print(im...