davisking/dlib
Auf GitHub ansehenSupport for reading images in correct orientation using EXIF data.
Open
#1.706 geöffnet am 28. März 2019
enhancementhelp wanted
Repository-Metriken
- Stars
- (12.570 Stars)
- PR-Merge-Metriken
- (Keine gemergten PRs in 30 T)
Beschreibung
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