我可能会晚一点去参加聚会，但是;是的，您完全可以使用OpenCV。

cv2.imread(PATH_TO_EXR_FILE,  cv2.IMREAD_ANYCOLOR | cv2.IMREAD_ANYDEPTH)

应该能满足你的需要

完整解决方案

@Iwohlhart的解决方案为我抛出了一个错误，

# first import os and enable the necessary flags to avoid cv2 errors

import os
os.environ["OPENCV_IO_ENABLE_OPENEXR"]="1"
import cv2

# then just type in following

img = cv2.imread(PATH2EXR, cv2.IMREAD_ANYCOLOR | cv2.IMREAD_ANYDEPTH)
'''
you might have to disable following flags, if you are reading a semantic map/label then because it will convert it into binary map so check both lines and see what you need
''' 
# img = cv2.imread(PATH2EXR) 
 
img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)

您可以使用OpenEXR软件包

pip --no-cache-dir install OpenEXR

如果上述操作失败，请安装OpenEXR dev库，然后按上述方法安装python包

sudo apt-get install openexr
sudo apt-get install libopenexr-dev

如果未安装gcc

sudo apt-get install gcc
sudo apt-get install g++

读取exr文件

def read_depth_exr_file(filepath: Path):
    exrfile = exr.InputFile(filepath.as_posix())
    raw_bytes = exrfile.channel('B', Imath.PixelType(Imath.PixelType.FLOAT))
    depth_vector = numpy.frombuffer(raw_bytes, dtype=numpy.float32)
    height = exrfile.header()['displayWindow'].max.y + 1 - exrfile.header()['displayWindow'].min.y
    width = exrfile.header()['displayWindow'].max.x + 1 - exrfile.header()['displayWindow'].min.x
    depth_map = numpy.reshape(depth_vector, (height, width))
    return depth_map