Viewing profile — chony
chony
HN member- Joined
- Thu, Feb 06, 2020, 12:43 PM UTC
- HN karma
- 60
- Public activity
- 47 items
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About chony
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Recent public activity
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Comment #25701897
I built an app to visualize and analyze basketball shots and shooting pose with machine learning. https://github.com/chonyy/AI-basketball-analysis The result is pretty nice. Howeve…
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Comment #25701672
I built this project to automatically overlay baseball pitch motion and trajectory. https://github.com/chonyy/ML-auto-baseball-pitching-overlay It's ready for a quick demo. However…
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Comment #25629065
Thanks, will definitely check it out!
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Comment #25629063
Thanks for asking! The only model I used in this project is the YOLOv4 object detection model to detect the ball in each frame. I collected about 200 images to train it. For the ot…
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Comment #25629044
I'm glad that you like it! Thanks a lot!
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Comment #25624626
Thanks for asking! This is not a noob question. I would say that the similar workflow could be applied to any ball-related sports. The object detection and the tracking algorithm i…
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Comment #25624031
I love the idea so much! Any idea how could you make it work on the videos with subtitles turned off? Also, may I ask for a simple workflow of this project? Here are some of my que…
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Comment #25477347
This project takes your baseball pitching clips and automatically generates the overlay. A fine-tuned Yolov4 model is used to get the location of the ball. Then, I implemented SORT…
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Comment #25399378
BTW, I just want to point out that did anyone notice that the pitcher throw the ball with the exact same posture but it turned out to fly on a completely different path. It's just …
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Comment #25398735
Hi guys, This project takes your baseball pitching clips and automatically generates the overlay. A fine-tuned Yolov4 model is used to get the location of the ball. Then, I impleme…
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Comment #25015674
Hi, the link provided is the pure ML part of the project, without any Flask thing. Unfortunately, I don't have written a notebook for it. Maybe you could try to figure it out throu…
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Comment #25015574
Hi, do you mean the pure Python ML part wihtout the web app and any Flask thing?
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Comment #25015394
I'm glad you like it! As an alternative, feel free to play around with it and get familiar with the setup process in the Google colab notebook. https://colab.research.google.com/gi…
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Comment #25015108
Hi guys, I have also written a post to explain the high level concept of OpenPose, the pose estimation framework I implemented in this project. Feel free to check out: https://gith…
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Comment #24996340
Hi guys, I have also wrotten a post to provide an in-depth explanation and a walkthrough of the code. Please check out: https://towardsdatascience.com/fp-growth-frequent-pattern-ge…
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Comment #24959827
Hi guys, I have also wrotten a post to provide an in-depth explanation and a walkthrough of the code, Please check out: https://towardsdatascience.com/apriori-association-rule-mini…