VideoCapture | : camera : V4L2OpenCV3.1以MPJG格式采集图像 | Camera library
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:camera:V4L2+OpenCV3.1以MPJG格式采集图像
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QUESTION
need help this is my code:
...ANSWER
Answered 2021-Sep-08 at 15:12I just looked into the sourcecode at https://github.com/google/mediapipe/blob/master/mediapipe/python/solutions/holistic.py
FACE_CONNECTIONS
seems to be renamed/replaced by FACEMESH_TESSELATION
.
Just changing that name in the code should work.
PS: If you want just the outlines of the face, it's now FACEMESH_CONTOURS
QUESTION
I'm currently making a code that will do various things such as controlling motors etc but at one point I need to code to popup a video on vlc and exit the window when the video ended, the problem is that the window currently stays after the video ended and the whole code just freezes and I can't do anything past the video
I tried various things such as calculating the video length and call a self.close()
when the timer hit but still the same thing
I also tried adding "--play-and-exit"
to the vlc parameters but it still won't budge...
Here's the code if someone knows how to do it properly !
...ANSWER
Answered 2022-Feb-26 at 13:41I have found the solution. This is the new main loop:
QUESTION
I am using Opencvsharp from shimat for building an application. Code simply opens camera, saves the image and close it using below code.
...ANSWER
Answered 2022-Jan-21 at 09:23When capturing via OpenCvSharp, 640x480 is the default resolution.
You must set the desired resolution before the device is opened (which is done implicitly when you grab frames) e.g.:
QUESTION
I've seen ways of using the time.sleep() function, however that stops the rest of the code from running.
I'm making a hand recognition script and want the video output to be hindered by a certain value being printed every second.
This is my code:
...ANSWER
Answered 2021-Dec-31 at 17:21One way is to use time.time
to measure how much time has passed (will print 'hi' every 5 seconds or so, this is less precise because if some part of the loop takes more time, it may print later than expected):
QUESTION
I am trying to write an object detection + text-to-speech code to detect objects and produce a voice output on the raspberry pi 4. However, as of right now, I am trying to write a simple python script that incorporates both elements into a single .py file and preferably as a function. I will then run this script on the raspberry pi. I want to give credit to Murtaza's Workshop "Object Detection OpenCV Python | Easy and Fast (2020)" and https://pypi.org/project/pyttsx3/ for the Text to speech documentation for pyttsx3. I have attached the code below. I have tried running the program and I always keep getting errors with the Text to speech code (commented lines 33-36 for reference). I believe it is some looping error but I just can't seem to get the program to run continuously. For instance, if I run the code without the TTS part, it works fine. Otherwise, it runs for perhaps 3-5 seconds and suddenly stops. I am a beginner but highly passionate in computer vision, and any help is appreciated!
...ANSWER
Answered 2021-Dec-28 at 16:46I installed pyttsx3 using the two commands in the terminal on the Raspberry Pi:
- sudo apt update && sudo apt install espeak ffmpeg libespeak1
- pip install pyttsx3
I followed the video youtube.com/watch?v=AWhDDl-7Iis&ab_channel=AiPhile to install pyttsx3. My functional code should also be listed above. My question should be resolved but hopefully useful to anyone looking to write a similar program. I have made minor tweaks to my code.
QUESTION
I have been trying to convert a BGR captured frame into the YUYV format.
In OpenCV Python I can do convert YUYV into BGR with COLOR_YUV2BGR_YUY2
conversion code but I cannot do the reverse of this operation (there is no conversion code for this operation, I have tried COLOR_BGR2YUV
but it is not converting correctly). I am curious about how to convert 3-channel BGR frame into the 2-channel YUYV frame.
Here you can see the code that I am using to change camera mode to capture YUYV and converting it into BGR, I am looking for the replacement of the cap.set(cv2.CAP_PROP_CONVERT_RGB, 0)
so I can capture BGR and convert it into YUYV without cap.set(cv2.CAP_PROP_CONVERT_RGB, 0)
(Because it is an optional capture setting and Windows DirectShow ignores this flag)
ANSWER
Answered 2021-Dec-27 at 14:34You can use the following code to convert your image to YUV and after that create YUYV from YUV. In this example an image is given as input to the program:
QUESTION
I'm making a pose estimation script for my game. However, it's working at 20-30 fps and not using the whole CPU even if there is no fps limit. It's not using whole GPU too. Can someone help me?
Here is resource usage while playing a dance video: https://imgur.com/a/6yI2TWg
Here is my code:
...ANSWER
Answered 2021-Dec-20 at 16:11Set the model_complexity
of mp.Pose
to 0
.
MODEL_COMPLEXITY Complexity of the pose landmark model: 0, 1 or 2. Landmark accuracy as well as inference latency generally go up with the model complexity. Default to 1.
This is the best solution I've found, also use this.
QUESTION
I am trying to predict with a ANN classification model made in Tensorflow to classify pose keypoints with MediaPipe. The mediapipe pose tracker has 33 keypoints for x y and z coordinates for a total of 99 data points.
I am training for 4 classes.
This is running the pose embedding
...ANSWER
Answered 2021-Nov-17 at 08:30Maybe try changing the shape of pose_landmarks
from (33, 3)
to (1, 99
) after your assertion and before you make a prediction:
QUESTION
My code is about to create an H5 file
for Each and Every video in the folder, Extracting the feature from the video and stored into the H5 file
.
in Below shown code
extraction feature from multi videos
and all the features are stored in the single H5 file
H5 file order:
...ANSWER
Answered 2021-Oct-26 at 06:05You need to :
- remove
self.h5_file = h5py.File(save_path, 'w')
from__init__()
- remove
self.h5_file.create_group('video_{}'.format(idx+1))
from_set_video_list()
- remove
gen.h5_file.close()
frommain()
- change last block of
generate_dataset()
into something like:
.
QUESTION
I am using CMake to define the compilation of a C++ executable. The goal is to use 2 third-party libraries, Open3D and OpenCV. I am able to include one of the two with target_link_libraries
, but including both results in OpenCV functions not being found.
This is my current CMakeLists.txt
ANSWER
Answered 2021-Oct-21 at 18:59The problem was solved by finding this Github issue: https://github.com/isl-org/Open3D/issues/2286
By using specific build flags when building Open3D, the libraries could both be linked correctly and simultaneously with the target_link_libraries(ORB_SLAM ${OpenCV_LIBS} ${Open3D_LIBRARIES})
command.
The build commands were as follows;
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