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#Python convert image format portable#

Reading and Writing Images and Video - OpenCV 2.4.13.0 documentation.OpenCV 3.0.0: Image file reading and writing.Raster and Vector geospatial data supported by GDAL (see the Note section).OpenEXR Image files - *.exr (see the Note section).PFM files - *.pfm (see the Note section).

#Python convert image format portable#

Portable Network Graphics - *.png (see the Note section).

JPEG 2000 files - *.jp2 (see the Note section).

The following formats are supported by cv2.imread() of OpenCV 4.2.0. Of course, you can not read image files in formats not supported by OpenCV.

Get and change the current working directory in Python.

You can check the current directory with os.getcwd(). If the file should be there but cannot be read, it is often because of a simple mistake that the current directory is different from what is expected.

Relative path from the current directory.Like the built-in function open(), with cv2.imread() and cv2.imwrite(), you can specify the path of a file with one of the following methods: opencv/opencv If images cannot be read with cv2.imread() Check the current directory.Imread and imwrite cause differences in image pixels It depends on used library (libjpeg/libjpeg-turbo) and/or versions, platforms (x86/ARM), compiler options. Reading of JPEG images is not bit-exact operation. Therefore, even if the same file is read, there may be differences in the values if the environment is different. Source: opencv_read_write.py JPEG libraryĪs you can see in the GitHub issue below, the library used to process JPEGs depends on the OpenCV version, platform, etc.