random-pose-generator
AI-basketball-analysis
| random-pose-generator | AI-basketball-analysis | |
|---|---|---|
| 3 | 12 | |
| 12 | 923 | |
| - | - | |
| 5.9 | 0.0 | |
| about 1 year ago | about 1 year ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
random-pose-generator
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The tilt :(
yes, 1000s for poses sorted manually + mens poses + animal poses + vehicles + windows batch processing too developed and opensourced for controlnets https://github.com/dinilvalsan/random-pose-generator , the poses from civit is less than 2% of poses. Since most downloads came from female poses, i focused on that. People like you are that inspires me to do stuff for free.
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Hi all! just want to share a small tool I had created for batch image processing from poses folder + 100 Woman Poses
hi, it is a know issue of pyinstaller as seen here https://stackoverflow.com/questions/43777106/program-made-with-pyinstaller-now-seen-as-a-trojan-horse-by-avg, I totally understand your concern, if you want yo can always directly build exe using pyinstaller, I have given open source code here https://github.com/dinilvalsan/random-pose-generator
- Hi all, I made a small tool to load random poses from a folder and generate images using current running instance, localhost, runpod, colab etc.
AI-basketball-analysis
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[P] Basketball Shots Detection and Shooting Pose Analysis (Open Source)
Source code: https://github.com/chonyy/AI-basketball-analysis
- Show HN: Visualizing Basketball Trajectory and Analyzing Shooting Pose
- Automatically Overlaying Baseball Pitch Motion and Trajectory in Realtime (Open Source)
- Show HN: AI Basketball Analysis Web App and API
- Show HN: Visualize and Analyze Basketball Shots and Shooting Pose with ML
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Ask HN: Show me your Half Baked project
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. However, the only problem is the slow inference speed. I'm now refactoring the project structure and changing the model to a much faster YOLO model.
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Show HN: Automatic Baseball Pitching Motion and Trajectory Overlay in Realtime
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 is basically the same. Then, you could add any sport-specific feature!
For example, I have used a similar method to build AI Basketball Analysis.
https://github.com/chonyy/AI-basketball-analysis
- Show HN: AI Basketball Analysis in Realtime
- Show HN: AI Basketball Visualization
What are some alternatives?
ControlNet-for-Diffusers - Transfer the ControlNet with any basemodel in diffusers🔥
Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.
controlnetvideo - Apply controlnet to video clips
openpifpaf - Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
SOPG - Secure-Obscure Password Generator
go-live - 🗂️ go-live is an ultra-light server utility that serves files, HTML or anything else, over HTTP.
DWPose - "Effective Whole-body Pose Estimation with Two-stages Distillation" (ICCV 2023, CV4Metaverse Workshop)
veems - An open-source platform for online video.
fastsdcpu - Fast stable diffusion on CPU
FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
SynthDet - SynthDet - An end-to-end object detection pipeline using synthetic data
hof - Framework that joins data models, schemas, code generation, and a task engine. Language and technology agnostic.