A lightweight python class to read .movie files and do the basics.
First clone the repository
git clone [email protected]:gnhm/python-temika-reader.git
or, if this is complicated for you, download it.
Next, import the Movie class and create an instance of it
from pytmk import Movie
m = Movie("/home/crsid/data/super_cool_experiment.movie")
Now you can use m in a variety of ways
get_frame_header(int i) gives you the Temika header information for the ith frame in the format of a dictionary.
m.get_frame_header(10)
{'avt_channel_balance': 31092,
'avt_channel_balance_mode': 0,
'brightness': 120,
'brightness_mode': 2,
'camera_type': 1,
'color_coding': 357,
'data_depth': 16,
'exposure': 236,
'exposure_mode': 1,
'gain': 0,
'gain_mode': 2,
'gamma': 1024,
'gamma_mode': 1,
'guid': 49712223535706612,
'image_bytes': 100352,
'length_data': 100352,
'length_header': 172,
'magic': 1231906132,
'model_id': 1,
'movie_version': 1,
'pix_num': 50176,
'pixel_mode_code': 2,
'pos_x': 368,
'pos_y': 34,
'shutter': 252,
'shutter_mode': 2,
'size_x': 224,
'size_x_max': 1920,
'size_y': 224,
'size_y_max': 1200,
'stride': 448,
'temperature': 3167,
'temperature_mode': 2,
'timestamp': 1620385231858162,
'total_bytes': 100352,
'trigger_delay': 0,
'trigger_delay_mode': 1,
'trigger_mode': 4294967295,
'vendor_id': 45213,
'video_mode': 0}
get_frame_header(int i) gives you the Temika header information for the ith frame in the format of a dictionary.
To get the ith frame as a numpy array, use
m.get_frame(10)
You can then manipulate the frame, analyze it, save it as a .tiff or .png using PIL, or do whatever else you feel like!
A convenient method is m.frames(). This returns a generator for frames. It functions like the Python range function.
m.frames() #Generator for all frames in the movie
m.frames(100) #For the first 100 frames
m.frames(20, 100, 2) #For frames 20 to 100, in steps of 2
A few useful attributes are
m.filename
m.n_frames
m.header
'/home/crsid/data/super_cool_experiment.movie'
5000
'Temika header describing what I did.'
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