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Add tested codecs for OSX

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puqeko 2017-07-29 11:56:02 +12:00 committed by GitHub
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1 changed files with 6 additions and 6 deletions
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12
doc/py_tutorials/py_gui/py_video_display/py_video_display.markdown
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@ -51,7 +51,7 @@ Otherwise open it using **cap.open()**.
You can also access some of the features of this video using **cap.get(propId)** method where propId You can also access some of the features of this video using **cap.get(propId)** method where propId
is a number from 0 to 18. Each number denotes a property of the video (if it is applicable to that is a number from 0 to 18. Each number denotes a property of the video (if it is applicable to that
video) and full details can be seen here: cv::VideoCapture::get() . video) and full details can be seen here: cv::VideoCapture::get().
Some of these values can be modified using **cap.set(propId, value)**. Value is the new value you Some of these values can be modified using **cap.set(propId, value)**. Value is the new value you
want. want.
@ -66,7 +66,7 @@ Playing Video from file
----------------------- -----------------------
It is same as capturing from Camera, just change camera index with video file name. Also while It is same as capturing from Camera, just change camera index with video file name. Also while
displaying the frame, use appropriate time for cv2.waitKey(). If it is too less, video will be very displaying the frame, use appropriate time for `cv2.waitKey()`. If it is too less, video will be very
fast and if it is too high, video will be slow (Well, that is how you can display videos in slow fast and if it is too high, video will be slow (Well, that is how you can display videos in slow
motion). 25 milliseconds will be OK in normal cases. motion). 25 milliseconds will be OK in normal cases.
@code{.py} @code{.py}
@ -95,7 +95,7 @@ Saving a Video
-------------- --------------
So we capture a video, process it frame-by-frame and we want to save that video. For images, it is So we capture a video, process it frame-by-frame and we want to save that video. For images, it is
very simple, just use cv2.imwrite(). Here a little more work is required. very simple, just use `cv2.imwrite()`. Here a little more work is required.
This time we create a **VideoWriter** object. We should specify the output file name (eg: This time we create a **VideoWriter** object. We should specify the output file name (eg:
output.avi). Then we should specify the **FourCC** code (details in next paragraph). Then number of output.avi). Then we should specify the **FourCC** code (details in next paragraph). Then number of
@ -109,10 +109,10 @@ platform dependent. Following codecs works fine for me.
- In Fedora: DIVX, XVID, MJPG, X264, WMV1, WMV2. (XVID is more preferable. MJPG results in high - In Fedora: DIVX, XVID, MJPG, X264, WMV1, WMV2. (XVID is more preferable. MJPG results in high
size video. X264 gives very small size video) size video. X264 gives very small size video)
- In Windows: DIVX (More to be tested and added) - In Windows: DIVX (More to be tested and added)
- In OSX : *(I don't have access to OSX. Can some one fill this?)* - In OSX: MJPG (.mp4), DIVX (.avi), X264 (.mkv).
FourCC code is passed as cv2.VideoWriter_fourcc('M','J','P','G') or FourCC code is passed as `cv2.VideoWriter_fourcc('M','J','P','G')` or
cv2.VideoWriter_fourcc(\*'MJPG') for MJPG. `cv2.VideoWriter_fourcc(*'MJPG')` for MJPG.
Below code capture from a Camera, flip every frame in vertical direction and saves it. Below code capture from a Camera, flip every frame in vertical direction and saves it.
@code{.py} @code{.py}