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文章目录

• 导入模块
• TIF文件路径
• 方法1:tiffile
• 方法2:PIL
• 方法3:opencv
• 方法4:gdal方法1
• 方法5:gdal方法2

导入模块

import numpy as npimport tifffile as tf           #tifffile是tiff文件的读取库from PIL import Imageimport cv2 as  cvimport gdal

TIF文件路径

path = r'C:/Users/HP/Desktop/tif/jpeg2000/Test_Images/tif/boat4_2100.tif'

方法1:tiffile

img_tf = tf.imread(path)print(img_tf.shape)                 #(2960, 1976, 3)

方法2:PIL

img = Image.open(path)         #可以读取单通道影像,读取3通道16位tif影像时报错(PIL.UnidentifiedImageError: cannot identify image file),支持4通道8位影像arr = np.array(img)print(arr.shape)

方法3:OpenCV

#arr = cv.imread(path,cv.IMREAD_UNCHANGED)        #(2960, 1976)arr = cv.imread(path,1)                          #(2960, 1976, 3)   备注：4波段的影像在opencv的读取方式中，显示为前三个波段，而且读取顺序为BGRprint(arr.shape)

方法4:gdal方法1

dataset = gdal.Open(path)arr = dataset.ReadAsArray()          #(3, 2960, 1976)arr = arr.transpose(1, 2, 0)         #(2960, 1976, 3)print(arr.shape)

方法5:gdal方法2

dataset = gdal.Open(path)bands = dataset.RasterCountfor band in range(1, bands + 1):    # 读取波段    src_band = dataset.GetRasterBand(band)    # 波段转数组    band_arr = src_band.ReadAsArray()    if band == 1:        height = band_arr.shape[0]        width = band_arr.shape[1]        arr = np.zeros((height, width, bands), dtype=np.uint8)    arr[:, :, band - 1] = band_arrprint(arr.shape)                     #(2960, 1976, 3)

来源地址：https://blog.csdn.net/a_13572035650/article/details/127715082