Hey guys, I see that average eyeball size (sphere_radius ) has changed from 12 to 10.39230485. The documentation does not yet reflect this change. In pupil_gaze_postiions.txt: "sphere_radius - radius of the eyeball. This is always 12mm (the anthropomorphic avg.) We need to make this assumption because of the single camera scale ambiguity."

We are trying to render the pupil size accurately in our 3D blender model, so any input you can offer would be appreciated.

...for example, I remember there was a bug in which radius/diameter were confused. I'm not sure when this was addressed, and if it's something we should take into account.

@user-b14f98 @user-3cff0d For your information: https://github.com/pupil-labs/pye3d-detector/pull/36

hello, everyone, I want to get access to real-time data via network API, I follow the instruction on this link https://docs.pupil-labs.com/developer/core/network-api/#pupil-groups. But I the python demo did show any data. it's just led to infinite waiting. The code is like this: import zmq ctx = zmq.Context()

pupil_remote = ctx.socket(zmq.REQ)

ip = 'localhost' # If you talk to a different machine use its IP. port = 50020 # The port defaults to 50020. Set in Pupil Capture GUI.

pupil_remote.connect(f'tcp://{ip}:{port}')

pupil_remote.send_string('SUB_PORT') sub_port = pupil_remote.recv_string()

pupil_remote.send_string('PUB_PORT') pub_port = pupil_remote.recv_string()

the subscription was successful, you will start receiving data.

subscriber = ctx.socket(zmq.SUB) subscriber.connect(f'tcp://{ip}:{sub_port}') subscriber.subscribe('gaze.') # receive all gaze messages

import msgpack

while True: topic, payload = subscriber.recv_multipart() message = msgpack.loads(payload) print(f"{topic}: {message}")

Ah, please be aware that gaze is only available after a successful calibration. Try subscribing to pupil for testing the script

Could someone point me to the source code of the Marker detection for the surface tracker?

hey guys, is there any ways of using pupil with my own hardware instead of pupil core?

For the Apriltags please

Hey everyone! I am trying to get normalized gaze position (on defined surface with apriltags) via python.

subscriber = ctx.socket(zmq.SUB) subscriber.connect(f'tcp://{ip}:{sub_port}') subscriber.subscribe('surfaces.Surface1')

messages = [] start_time = time.time() while time.time() < start_time+5: topic, payload = subscriber.recv_multipart() message = msgpack.loads(payload) messages.append(message)

x = [] y = [] for message in messages: for j in range(len(message[b'gaze_on_surfaces'])): x.append(message[b'gaze_on_surfaces'][j][b'norm_pos'][0]) y.append(message[b'gaze_on_surfaces'][j][b'norm_pos'][1])

I defined the surface (Surface1) and performed all calibrations. Gaze mapping looks pretty good in GUI. I collected the data over 5 second while looking at the middle of the AOI and then averaged position data (x, y) in 25ms bins. I tried this for several times and every time it looks weird. After a short while the gaze position gets away from (0.5, 0.5), despite me looking at the the same point. I would very appreciate any help!!

Please filter low confidence data points:

for message in messages:
  for gaze in message[b'gaze_on_surfaces']:
    if gaze["confidence"] > 0.6:
      x.append(gaze[b'norm_pos'][0])
      y.append(gaze[b'norm_pos'][1])

I've got one question according this sample. My code freezes when i call "subscriber.recv_multipart()". It is written, that i alsways have to "recv_string()" after sending a string. But do i also always have to send a string in order to receive a message back?

Any ideas why my code does freeze at hat location?

You need to differentiate between the socket types.

To interact with REQ ("request"), use send_string ("send request") and recv_string ("receive response") as pairs.

To interact with SUB ("subscription"), use recv_multipart(). So the code is correct.

One special thing is that you subscribe to gaze. Gaze is only available after calibration. For testing, you can subscribe to other topics that are available without calibration, e.g. pupil

Wow, perfekt! Its working now. Thank you so much!

Is there a code to reconstruct the eye positions from the data that was streamed through LSL?

Yes! Where can I find the code?

The data is stored in XDF file! I’ll go through it! If I run into an issue I’ll get back to you!

I'm currently looking at data, gathered from using python and subscribing my socket to "pupil.". I am struggling to find out what all the label, like "theta", "phi", "location", ... stand for. Is there some kind of sheet where i can look up the definitions?

I've got a question regarding the data received when subscribing to "pupil". Does that data already depict the movement of the eye, or does it only tell how the eye is shaped and where it thinks the middle of the iris should be? In other words, would it be possible to write my own eye tracking with this data, or do I need the data that I get when I subscribe to "gaze"? Does "gaze" include the data that tells me what position I am looking at, or just alignment information about the eye?

What I'm getting at is actually whether this data, which I got by subscribing to "pupil", corresponds to the movement of the eye, or is just noise.

Perfekt. Thank you. That already helped me.

Hello All,

We are trying to communicate to pupil core from matlab. We can start and stop recording remotely using python scripts via matlab. to send annotations we incorporate excerpts of However, we are unable to send annotations using parts of function remote _annotation.py from matlab. We are using functions from resource https://github.com/pupil-labs/pupil-helpers/tree/master/python. It would be a great help if someone can share example scripts that can help us achieve this. We are new with python. Also we tried sending annotation using ZeroMQ but were unable to install that successfully in matlab (windows).

Yes , basically sir the experiment which we have designed requires the use of matlab along with python. That's why we are not using python alone.

Hi Guys, I have a question: we just brought Pupil Invisible. In our study, we want to capture the egocentric camera view from pupil invisible and three camera views from another three cameras (ZED camera). Before buying that product one of the pupil-lab representatives informed us that pupil-lab has a software application that helps to synchronously collect multiple camera views. I try to find that software but could not. Could you please share the link to the software application? Thanks.