The average user rarely needs to worry about the details of these transforms, but it is helpful knowledge to have when considering the placement of text on a figure. Mathematically, such coordinate transformations are relatively straightforward, and Matplotlib has a well-developed set of tools that it uses internally to perform them (these tools can be explored in the ansforms submodule). In Matplotlib, this is done by modifying the transform.Īny graphics display framework needs some scheme for translating between coordinate systems.įor example, a data point at $(x, y) = (1, 1)$ needs to somehow be represented at a certain location on the figure, which in turn needs to be represented in pixels on the screen. Sometimes it's preferable to anchor the text to a position on the axes or figure, independent of the data. In the previous example, we have anchored our text annotations to data locations. set ( title = 'USA births by day of year (1969-1988)', ylabel = 'average daily births' ) # Format the x axis with centered month labels ax. text ( '', 3850, "Christmas ", ha = 'right', ** style ) # Label the axes ax. text ( '', 4250, "Independence Day", ha = 'center', ** style ) ax. plot ( ax = ax ) # Add labels to the plot style = dict ( size = 10, color = 'gray' ) ax. subplots ( figsize = ( 12, 4 )) births_by_date. # Add the colored circle on the image to know the stateĬv2.Fig, ax = plt. # Break the loop if we don't get a new frame. # Iterate while the capture is open, i.e. # We can check wether the video capture has been opened # Start with the beginning state as 10 to indicate that the procedure has not started # You can INCREASE the value of speed to make the video SLOWER # use this if you made a mistake and need to start over. # press q to quit early, then the annotations are not saved, you should only # Press space to swap between states, you have to press space when the person # White circle means we are done, press d for that # Blue cicle means that the annotation haven't started This allows for multiple keys to be pressed during the annotations. I also capture the key pressed with waitKey and then do something based on the output. Hopefully this will be useful for someone else later. I needed to see in the video what annotation I was assigning to each frame, so I made a small circle in the upper left corner of the video as I displayed it. I want to do this at maybe half the regular framerate of the video.ĮDIT: I used the solution provided by miindlek and decided to share a few things if someone runs into this. I have been googling around, and most of the stuff I have found is to annotate individual frames with a polygon. Is there a tool in matlab that can do this? Otherwise matlab is not a restriction, python, C++ or any other language is fine. I want to be able to playback the avi file in matlab and then press space to switch between these two states and simultaneously add the state variable to an array giving the state for each frame in the video. To do that I need to annotate each frame in the videos with a 0 or 1, corresponding to "bad pose" and "good pose", i.e. I can get a skeleton of the human in the video but what I want to do is recognize a certain pose from this skeleton data. I have a bunch of videos and depthmaps showing human poses from the Microsoft Kinect.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |