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Skeleton recognition for squash

active 2023-08-172026-04-20 (UTC)

Complete coverage26,463 / 26,463 hourly files (100%) · 2 absent upstream2023-08-152026-08-21 (UTC)
Events
487
Pushes
54
Pull requests
14
Issues
52
Stars
180
Forks
37

Activity over time

Daily event counts in the loaded window

Line chart, 978 days from 2023-08-17 to 2026-04-20. Pushes: 54 total, peak 17 in a day. Pull requests: 14 total, peak 2 in a day. Issues: 52 total, peak 4 in a day. Comments: 134 total, peak 9 in a day. Stars: 180 total, peak 5 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

Recent activity

Latest issues, pull requests and releases

  • Issue#55davidpagnon2026-02-09 07:55
    Accuracy results on evaluation datasets
  • Issue comment#55davidpagnon2026-02-09 07:55
    Accuracy results on evaluation datasets
  • Issue comment#56davidpagnon2026-02-03 22:16
    Poor results on feet
  • Issue#56davidpagnon2026-02-03 12:06
    Poor results on feet
  • Issue comment#51JunkyByte2025-08-14 07:50
    Unable to use model_split
  • Issue comment#50JunkyByte2025-05-16 09:35
    Can we convert vitpose-s-ap10k.onnx to tf lite for faster inference(realtime) ? because i tried all three models pt,onnx,rt not getting realtime inference
  • Issue comment#50SANKET1NAIK2025-05-16 09:22
    Can we convert vitpose-s-ap10k.onnx to tf lite for faster inference(realtime) ? because i tried all three models pt,onnx,rt not getting realtime inference
  • Issue comment#50SANKET1NAIK2025-05-16 08:05
    Can we convert vitpose-s-ap10k.onnx to tf lite for faster inference(realtime) ? because i tried all three models pt,onnx,rt not getting realtime inference
  • Issue comment#50SANKET1NAIK2025-05-16 08:00
    Can we convert vitpose-s-ap10k.onnx to tf lite for faster inference(realtime) ? because i tried all three models pt,onnx,rt not getting realtime inference
  • Issue comment#50JunkyByte2025-05-16 07:44
    Can we convert vitpose-s-ap10k.onnx to tf lite for faster inference(realtime) ? because i tried all three models pt,onnx,rt not getting realtime inference
  • Issue#50SANKET1NAIK2025-05-16 05:24
    Can we convert vitpose-s-ap10k.onnx to tf lite for faster inference(realtime) ? because i tried all three models pt,onnx,rt not getting realtime infrence
  • Issue#49tannq-jo2025-05-08 04:54
    Does it support ViTPose++?
  • Issue comment#48JunkyByte2025-04-23 23:42
    Fix finetuning issue and improve training/inference workflow
  • Pull request#48JunkyByte2025-04-23 23:41
  • Issue comment#48CatoTea2025-04-23 23:20
    Fix finetuning issue and improve training/inference workflow
  • Issue#46JunkyByte2025-04-23 14:47
    when we use tensorrt file it is fast but not accurate and in case of onnx file it is slow but accurate,the keyponits are not accurate in engine file
  • Issue#47JunkyByte2025-04-23 14:47
    when using onxx file for realtime video inference it is too slow,tried diffrent methods still it is slow only? any solution ?
  • Pull request#48CatoTea2025-04-23 04:50
  • Issue comment#47JunkyByte2025-03-14 07:59
    when using onxx file for realtime video inference it is too slow,tried diffrent methods still it is slow only? any solution ?
  • Issue#47SANKET1NAIK2025-03-11 17:46
    when using onxx file for realtime video inference it is too slow,tried diffrent methods still it is slow only? any solution ?
  • Issue comment#46SANKET1NAIK2025-02-22 15:49
    when we use tensorrt file it is fast but not accurate and in case of onnx file it is slow but accurate,the keyponits are not accurate in engine file
  • Issue comment#46SANKET1NAIK2025-02-22 15:47
    when we use tensorrt file it is fast but not accurate and in case of onnx file it is slow but accurate,the keyponits are not accurate in engine file
  • Issue comment#46JunkyByte2025-02-21 21:23
    when we use tensorrt file it is fast but not accurate and in case of onnx file it is slow but accurate,the keyponits are not accurate in engine file
  • Issue comment#46SANKET1NAIK2025-02-21 14:12
    when we use tensorrt file it is fast but not accurate and in case of onnx file it is slow but accurate,the keyponits are not accurate in engine file
  • Issue comment#46SANKET1NAIK2025-02-21 14:11
    when we use tensorrt file it is fast but not accurate and in case of onnx file it is slow but accurate,the keyponits are not accurate in engine file

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 180 stars here means stars gained during the window, not the repo's star count.