davisking/dlib
Ver no GitHubSupport for reading images in correct orientation using EXIF data.
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#1.706 aberto em 28 de mar. de 2019
enhancementhelp wanted
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Description
Current Behavior
I'm working on image processing with some images I collected myself. Dlib's dlib.load_rgb_image('image_path') method swaps the rows and columns on some images while OpenCV's cv2.imread('image_path') method does not.
Check out the results below
img = dlib.load_rgb_image("myimg.jpg")
print(img.shape)
--------------------
OUTPUT: (1944, 2592, 3)
(the resultant image is rotated 90 degrees clockwise)
while OpenCV's method returns the correct shape:
img = cv2.imread("myimg.jpg")
print(img.shape)
--------------------
OUTPUT: (2592, 1944, 3)
dlib.load_rgb_image() does not take into account the EXIF orientation metadata, so some images are read incorrectly.
I don't want to go in and rotate some of these offending images myself manually because I'm creating an app.
Is there a way in Dlib to read images using orientation information?
Note: I asked this question of stackoverflow, one of the comments told me to create an issue here
- Version: 19.17.0
- Where did you get dlib: pip
- Platform: Windows 10 - 64bit
- Compiler: python 3.6