如何推广视频号,南昌网站seo厂家,网络摄像头定制开发,自己做的网站图片无法显示我们将介绍如何用PIL库实现一些简单的图像增强方法。 [!NOTE] 初始化配置 import numpy as np
from PIL import Image, ImageOps, ImageEnhance
import warningswarnings.filterwarnings(ignore)
IMAGE_SIZE 640[!important] 辅助函数 主要用于控制增强幅度 def int_param…我们将介绍如何用PIL库实现一些简单的图像增强方法。 [!NOTE] 初始化配置 import numpy as np
from PIL import Image, ImageOps, ImageEnhance
import warningswarnings.filterwarnings(ignore)
IMAGE_SIZE 640[!important] 辅助函数 主要用于控制增强幅度 def int_parameter(level, maxval): return int(level * maxval / 10) def float_parameter(level, maxval): return float(level) * maxval / 10.def sample_level(n): return np.random.uniform(low0.1, highn)
level用于控制增强方法的数值强度maxval一般取值为4level是一个从均匀分布中采样的数值这样让每次增强都具有随机性。 [!example] 增强方法 色彩反转
def invert(pil_img, _): return ImageOps.invert(pil_img)镜像
def mirror(pil_img, _): return ImageOps.mirror(pil_img)均衡化
def equalize(pil_img, _): return ImageOps.equalize(pil_img)色彩分离
def posterize(pil_img, level): level int_parameter(sample_level(level), 4) return ImageOps.posterize(pil_img, 4 - level)旋转
def rotate(pil_img, level): degrees int_parameter(sample_level(level), 30) if np.random.uniform() 0.5: degrees -degrees return pil_img.rotate(degrees, resampleImage.BILINEAR)Solarize
def solarize(pil_img, level): level int_parameter(sample_level(level), 256) return ImageOps.solarize(pil_img, 256 - level)Shear_x
def shear_x(pil_img, level): level float_parameter(sample_level(level), 0.3) if np.random.uniform() 0.5: level -level return pil_img.transform((IMAGE_SIZE, IMAGE_SIZE), Image.AFFINE, (1, level, 0, 0, 1, 0), resampleImage.BILINEAR)Shear_y
def shear_y(pil_img, level): level float_parameter(sample_level(level), 0.3) if np.random.uniform() 0.5: level -level return pil_img.transform((IMAGE_SIZE, IMAGE_SIZE), Image.AFFINE, (1, 0, 0, level, 1, 0), resampleImage.BILINEAR)Translate_x
def translate_x(pil_img, level): level int_parameter(sample_level(level), IMAGE_SIZE / 3) if np.random.random() 0.5: level -level return pil_img.transform((IMAGE_SIZE, IMAGE_SIZE), Image.AFFINE, (1, 0, level, 0, 1, 0), resampleImage.BILINEAR) Translate_y
def translate_y(pil_img, level): level int_parameter(sample_level(level), IMAGE_SIZE / 3) if np.random.random() 0.5: level -level return pil_img.transform((IMAGE_SIZE, IMAGE_SIZE), Image.AFFINE, (1, 0, 0, 0, 1, level), resampleImage.BILINEAR) Color
def color(pil_img, level): level float_parameter(sample_level(level), 1.8) 0.1 return ImageEnhance.Color(pil_img).enhance(level) Contrast
def contrast(pil_img, level): level float_parameter(sample_level(level), 1.8) 0.1 return ImageEnhance.Contrast(pil_img).enhance(level) AutoContrast
def autocontrast(pil_img, level): level float_parameter(sample_level(level), 10) return ImageOps.autocontrast(pil_img, 10 - level) Brightness
def brightness(pil_img, level): level float_parameter(sample_level(level), 1.8) 0.1 return ImageEnhance.Brightness(pil_img).enhance(level) Sharpness
def sharpness(pil_img, level): level float_parameter(sample_level(level), 1.8) 0.1 return ImageEnhance.Sharpness(pil_img).enhance(level)[!success] 使用案例 对于这样一张原图 augmentations_all { autocontrast:autocontrast, equalize:equalize, posterize:posterize, rotate:rotate, solarize:solarize, shear_x:shear_x, shear_y:shear_y, translate_x:translate_x, translate_y:translate_y, color:color, contrast:contrast, brightness:brightness, sharpness:sharpness, mirror:mirror, invert:invert } import matplotlib.pyplot as plt imgImage.open(rC:\Users\Administrator\Downloads\result1.5\result\original_resized\class0\0.jpg) def draw(plt,idx,img,title): plt.subplot(int(24str(idx))) plt.imshow(img) plt.xticks([]) plt.yticks([]) plt.title(title) plt.figure(figsize(20,16))
for idx,(k,v) in enumerate(augmentations_all.items()): draw(plt,(idx)%81,v(img.copy(),1),k) if idx!0 and idx % 7 0: plt.show() plt.figure(figsize(20,16))
