2017-08-05 05:14:59 -0600 | received badge | ● Editor (source) |
2017-08-05 05:09:53 -0600 | asked a question | temporally synch videos from multiple cameras I have videos coming from 3 raspberry pi cameras with following timestamps (each video is recorded for 4 hours): Now the problem is that each camera clock has its own slewing rate and at the end, frame difference across cameras goes up to 25ms in case of camera 1 wrt others (while each of them started at sub millisecond difference). This makes tracking position according to each of them really tough task cause of misalignment of frames across cameras. The answer mentioned here https://stackoverflow.com/questions/3... might have been useful but it changes the sampling rate for the final position estimate generated across cameras. My aim is to get position estimate according to each frame across cameras. How can the videos be synched so that it is possible? |
2017-03-16 12:49:05 -0600 | received badge | ● Enthusiast |
2017-03-13 05:49:30 -0600 | received badge | ● Student (source) |
2017-03-13 01:56:07 -0600 | asked a question | python alternative to K and R (camera parameters used in C++) while warping? I was working on opencv stitching_detailed.cpp file where I came across cameraParams ( which basically stores different camera parameters). In the script, once these parameters are estimated, they are used to warp the input images for which the function call looks like this: where img: input image K : intrinsic parameters R : Rotation matrix Now I store these parameters (K,R) in a file and later want to use them to make some calls in python. Python opencv provides function called From my understanding of the code, M is basically same as K mentioned above but there is no input for R in python. So my question how do I perform warp as done in stitching c++ code in python if I know the parameters involved? |
2017-03-07 04:58:06 -0600 | commented question | load camera parameters from yml file cpp @LBerger I accept that fact totally, but I am short on time that is why this approach. Although side by side I am trying to learn C++. Thanks for the help |
2017-03-07 03:25:26 -0600 | commented question | How to write python wrapper for OpenCV C++ code has anyone resolved it? |
2017-03-06 23:16:39 -0600 | commented question | load camera parameters from yml file cpp Then how can I initialize it ? |
2017-03-06 00:40:01 -0600 | commented question | load camera parameters from yml file cpp sorry ppy thing was a typo. Yes I have initialized the array as vector<cameraparams> camerasTest(num_images) //where num_images=8 |
2017-03-05 06:49:51 -0600 | asked a question | load camera parameters from yml file cpp I saved the CameraParams which is defined in Opencv Stitching Detailed sample. Here is the how camera parameter structure looks like: I wrote the camera Parameters calculated from the stitching_detailed.cpp using the following code: Here is how the file content looked like: How can I now load these camera parameters to initialize CameraParams. This is the read function I was using: but this gives Run time error. So what transformation can be done |