Thank you very much :) Feel free to subscribe. New Kaggle competition is up: www.kaggle.com/competitions/nfl-player-contact-detection and I'll most likely drop some video about it soon :)
Your work is truly exceptional, and I greatly admire it. I'm optimistic that, in time, you will skillfully implement animal 3D pose estimation using YOLO. Keep up the remarkable work!
Thanks a lot. I'm doing my best, but I have a lot to do at work. If you want to watch my videos, you can do it on the Roboflow channel: www.youtube.com/@Roboflow. I usually produce one video a week there.
Awesome! Thank you for sharing your code :) Can I ask you which camera did you use? I want to try your project too, and I wonder each scene matches in same timestamp when you put two videos for estimating correct 3d data.
Thank you! This is actually very good question. With current setup I got 3 FPS on Tesla T4, so we would need to get a lot more efficient. But I think that combination of smaller model and more powerful GPU could bring us to 20 FPS
Great work! I have been working on a very similar project, but done live for multiusers at around 15fps. I was wondering how do you fuse the info from the 2 cameras in the 3d model? Do you know the position of each camera? Or one camera relative to the other?
@@SkalskiP it would be great to have some details on your 3D modeling for positioning the 17 joints in space. I understand you have some relative solution, where you preset the size (height) of the model to 1000. I am interested in a 3D positioning in space of the joints with a given coordinate origin. I was wondering if you have some insights or thoughts on that.
@@asdfds6752 Yes I try to calibrate both models to the same pre set dimensions. I’ll try to include that on blog. I should be sharing that link this week on LI.
@Skalski, have u ever trained keypoint detection with other architecture (OpenPose, pifpaf, etc) but with custom dataset? I'm sry if my question is a little off topic hehe....
@@SkalskiP tracking the object, for example, if person is captured in a camera lets say he has ID 1, he should be tracked by other camera with same ID.
Hello, nice video! When I try to replicate the project, by doing the following: from utils.general import check_img_size from models.experimental import attempt_load It doesn't seem to recognize those files and it shows the following: Import "utils.general" could not be resolved(reportMissingImports) Import "models.experimental" could not be resolved(reportMissingImports) How can it be solved? Because after executing that block of code, it no longer allows to make a correct plot_image Can you help me please?
@@SkalskiP Haha! Good answer :). I'm interested in the possibility of taking this to a real time solution using 2 synced cameras and a fairly standard laptop (with GPU)
great tutorial, i've been making a project about human pose estimation (just in case of study) and i am stucking in this field about yolov7 right now, i really need some help, how can i contact you
