You may encounter an error indicating dmc flac codec. Well, there are several ways to solve this problem, which we will talk about a little later.
Fix PC Errors in Minutes
Background: I’m trying to train my own OpenCV hair classifier to predict faces. I’m working on a working virtual machine with Ubuntu 16.04, there are subdirectories in my directory to do your work: faces 2 with images 2429 positives. , a non-face 4548 of which has images of the negatives. The images are almost all PNG format, grayscale, and are 19 pages wide and tall. just “0 0 18 looks like 18” eg:
/home/user/ML-Trainer/face/face1.Png 1 0 18/home/user/ML-Trainer/face/face2 0 twenty.1 png 0 0 18/home/user/ML-Trainer/face/face3 18.png no 1 18 0 18
and other negatives.Full text that contains the absolute picture that anyone can trace the positive.
opencv_createsamples -info Positives.info -vec Positives.vec -num -w 2429 19. 19
and -h I each get Positives.vec and as expected so I created the correct empty data directory and the following:
code>opencv_traincascade -data data -vec positive.vec -bg negative.txt -numPos 2429 -numNeg Ten 4548 -numstages -w 19 -h 14 &
PARAMETERS:cascading dirname: datavec Filename: Positive.vecbgFilename: Negative.txtnumber: 2429number negative: 4548Number of floors: 10precalcValBufSize[Mb] to 1024precalcIdxBufSize [MB]: 1024AcceptanceRatioBreakValue::-1Stage type: BOOSTLine type: 19Height example: from hairsample width: 19Boost Type: GABMinimum chance of success: 0.995maxFalseAlarmRate: 0.5Weight adjustment factor: 0.95maximum depth: 1maximum number of weak points: 100Mode: BASICNumber of unique ones with given characteristics windowSize[19,19]: 63960===== LEARNING LEVEL 0 ACCOUNT =====
Training lasted 0 days 0 hours 1 7 minutes seconds. TRAINING
===== Level 1 =====
sampleOpenCV error: invalid argument
EDIT:I refined -numPos One to a smaller number: 2186 (0.9 * 2429), I did it right after reading this answer and it led me to
===== TRAINING in 3 steps =====
and it still throws the same error. configure How are the parameters of the opencv_createsamples command?
as well as
Playing video copies in OpenCV is very closely related to reading and writing images. A video is nothing more than a series of television images, often referred to as frames. All you really need to do is loop better than all the frames in a media player sequence and then process them one form at a time. In this issue, we will show you how to read and record video from real file, sequence images and a large webcam. We will also take care of some errors that might actually occur in the process and the service understands how to fix them.
- Play video
- From best file
- From image sequence
- From webcam
- Errors, >
- videos that may occur when playing or recording
Let's take a look at my sample code for playing an image file. This mainly includes the ability to play videos from the player and view them. As you continue to do so, we will discuss the reasons for implementation in detail.
In this article, we will talk about the basic video I/O functions in OpenCV:
cv2.VideoCapture- The element creates a video capture that would otherwise be useful in video streaming.
cv2.Record videowriteris a video of the final product in the A directory.
- Also people discuss other functions needed such as
cv2 . ANDwaitkey()
get()Method used to search for video metadata such as height, width, frame rate, etc.
From time to time you read and watch videos ('Cars.mp4').
We get Python and C++ codes for which languages you learn and practice.
First we import your library. Note that for C++,
cv::function() is usually used because we chose to use the main namespace
cv (with namespace
cv ), my family and I can access opencv add functions without
cv:: in the name to run.
Play Video From Next File
The following code block uses an arbitrary
VideoCapture() class to create a videocapture block that we will then use to play the video file. The following usage format has been tested in a class:
The first argument is the name/path of the specific video file. The second is an optional demonstrative argument, preferring the
API. Some options related to this are optional.argument, are described below. To learn more about
apipreference, follow the link to the VideoCaptureAPI policeman documentation.