Closed snorlaxse closed 2 years ago
Please check the 0.7GB link here for GSL: https://openhands.ai4bharat.org/en/latest/instructions/datasets.html
Was that not working? Or is there some confusion?
I wanna train the rgb modality using cnn, so l need the raw isolated gsl data. Since the info https://openhands.ai4bharat.org/en/latest/instructions/datasets.html are from the raw rgb data by pose estimator, l guess you know how to get the isolated data. Thanks for your reply.
You need to download all the zips domain-wise, like health1.zip, health2.zip, etc. from that Zenodo link
I have downloaded all the zips domain-wise, but they are all continuous sign language recognition data (xx_signerx_repx_sentences) not the Isolated gloss sign language recognition data needed (xx_signerx_repx_glosses). I have how to get the GSL isol data
.
βββ health1
βΒ Β βββ health1_signer1_rep1_sentences
βΒ Β βββ health1_signer1_rep2_sentences
βΒ Β βββ health1_signer1_rep3_sentences
βΒ Β βββ health1_signer1_rep4_sentences
βΒ Β βββ health1_signer1_rep5_sentences
βΒ Β βββ health1_signer2_rep1_sentences
βΒ Β βββ health1_signer2_rep2_sentences
βΒ Β βββ health1_signer2_rep3_sentences
βΒ Β βββ health1_signer2_rep4_sentences
βΒ Β βββ health1_signer2_rep5_sentences
βΒ Β βββ health1_signer3_rep1_sentences
βΒ Β βββ health1_signer3_rep2_sentences
βΒ Β βββ health1_signer3_rep3_sentences
βΒ Β βββ health1_signer3_rep4_sentences
βΒ Β βββ health1_signer3_rep5_sentences
βΒ Β βββ health1_signer4_rep1_sentences
βΒ Β βββ health1_signer4_rep2_sentences
βΒ Β βββ health1_signer4_rep3_sentences
βΒ Β βββ health1_signer4_rep4_sentences
βΒ Β βββ health1_signer4_rep5_sentences
βΒ Β βββ health1_signer5_rep1_sentences
βΒ Β βββ health1_signer5_rep2_sentences
βΒ Β βββ health1_signer5_rep3_sentences
βΒ Β βββ health1_signer5_rep4_sentences
βΒ Β βββ health1_signer5_rep5_sentences
βΒ Β βββ health1_signer6_rep1_sentences
βΒ Β βββ health1_signer6_rep2_sentences
βΒ Β βββ health1_signer6_rep3_sentences
βΒ Β βββ health1_signer6_rep4_sentences
βΒ Β βββ health1_signer6_rep5_sentences
βΒ Β βββ health1_signer7_rep1_sentences
βΒ Β βββ health1_signer7_rep2_sentences
βΒ Β βββ health1_signer7_rep3_sentences
βΒ Β βββ health1_signer7_rep4_sentences
βΒ Β βββ health1_signer7_rep5_sentences
βββ health1.zip
βββ health1_Depth.zip
βββ health2
βΒ Β βββ health2_signer1_rep1_sentences
βΒ Β βββ health2_signer1_rep2_sentences
βΒ Β βββ health2_signer1_rep3_sentences
βΒ Β βββ health2_signer1_rep4_sentences
βΒ Β βββ health2_signer1_rep5_sentences
βΒ Β βββ health2_signer2_rep1_sentences
βΒ Β βββ health2_signer2_rep2_sentences
βΒ Β βββ health2_signer2_rep3_sentences
βΒ Β βββ health2_signer2_rep4_sentences
βΒ Β βββ health2_signer2_rep5_sentences
βΒ Β βββ health2_signer3_rep1_sentences
βΒ Β βββ health2_signer3_rep2_sentences
βΒ Β βββ health2_signer3_rep3_sentences
βΒ Β βββ health2_signer3_rep4_sentences
βΒ Β βββ health2_signer3_rep5_sentences
βΒ Β βββ health2_signer4_rep1_sentences
βΒ Β βββ health2_signer4_rep2_sentences
βΒ Β βββ health2_signer4_rep3_sentences
βΒ Β βββ health2_signer4_rep4_sentences
βΒ Β βββ health2_signer4_rep5_sentences
βΒ Β βββ health2_signer5_rep1_sentences
βΒ Β βββ health2_signer5_rep2_sentences
βΒ Β βββ health2_signer5_rep3_sentences
βΒ Β βββ health2_signer5_rep4_sentences
βΒ Β βββ health2_signer5_rep5_sentences
βΒ Β βββ health2_signer6_rep1_sentences
βΒ Β βββ health2_signer6_rep2_sentences
βΒ Β βββ health2_signer6_rep3_sentences
βΒ Β βββ health2_signer6_rep4_sentences
βΒ Β βββ health2_signer6_rep5_sentences
βΒ Β βββ health2_signer7_rep1_sentences
βΒ Β βββ health2_signer7_rep2_sentences
βΒ Β βββ health2_signer7_rep3_sentences
βΒ Β βββ health2_signer7_rep4_sentences
βΒ Β βββ health2_signer7_rep5_sentences
βββ health2.zip
βββ health3
βΒ Β βββ health3_signer1_rep1_sentences
βΒ Β βββ health3_signer1_rep2_sentences
βΒ Β βββ health3_signer1_rep3_sentences
βΒ Β βββ health3_signer1_rep4_sentences
βΒ Β βββ health3_signer1_rep5_sentences
βΒ Β βββ health3_signer2_rep1_sentences
βΒ Β βββ health3_signer2_rep2_sentences
βΒ Β βββ health3_signer2_rep3_sentences
βΒ Β βββ health3_signer2_rep4_sentences
βΒ Β βββ health3_signer2_rep5_sentences
βΒ Β βββ health3_signer3_rep1_sentences
βΒ Β βββ health3_signer3_rep2_sentences
βΒ Β βββ health3_signer3_rep3_sentences
βΒ Β βββ health3_signer3_rep4_sentences
βΒ Β βββ health3_signer3_rep5_sentences
βΒ Β βββ health3_signer4_rep1_sentences
βΒ Β βββ health3_signer4_rep2_sentences
βΒ Β βββ health3_signer4_rep3_sentences
βΒ Β βββ health3_signer4_rep4_sentences
βΒ Β βββ health3_signer4_rep5_sentences
βΒ Β βββ health3_signer5_rep1_sentences
βΒ Β βββ health3_signer5_rep2_sentences
βΒ Β βββ health3_signer5_rep3_sentences
βΒ Β βββ health3_signer5_rep4_sentences
βΒ Β βββ health3_signer5_rep5_sentences
βΒ Β βββ health3_signer6_rep1_sentences
βΒ Β βββ health3_signer6_rep2_sentences
βΒ Β βββ health3_signer6_rep3_sentences
βΒ Β βββ health3_signer6_rep4_sentences
βΒ Β βββ health3_signer6_rep5_sentences
βΒ Β βββ health3_signer7_rep1_sentences
βΒ Β βββ health3_signer7_rep2_sentences
βΒ Β βββ health3_signer7_rep3_sentences
βΒ Β βββ health3_signer7_rep4_sentences
βΒ Β βββ health3_signer7_rep5_sentences
βββ health3.zip
βββ health4
βΒ Β βββ health4_signer1_rep1_sentences
βΒ Β βββ health4_signer1_rep2_sentences
βΒ Β βββ health4_signer1_rep3_sentences
βΒ Β βββ health4_signer1_rep4_sentences
βΒ Β βββ health4_signer1_rep5_sentences
βΒ Β βββ health4_signer2_rep1_sentences
βΒ Β βββ health4_signer2_rep2_sentences
βΒ Β βββ health4_signer2_rep3_sentences
βΒ Β βββ health4_signer2_rep4_sentences
βΒ Β βββ health4_signer2_rep5_sentences
βΒ Β βββ health4_signer3_rep1_sentences
βΒ Β βββ health4_signer3_rep2_sentences
βΒ Β βββ health4_signer3_rep3_sentences
βΒ Β βββ health4_signer3_rep4_sentences
βΒ Β βββ health4_signer3_rep5_sentences
βΒ Β βββ health4_signer4_rep1_sentences
βΒ Β βββ health4_signer4_rep2_sentences
βΒ Β βββ health4_signer4_rep3_sentences
βΒ Β βββ health4_signer4_rep4_sentences
βΒ Β βββ health4_signer4_rep5_sentences
βΒ Β βββ health4_signer5_rep1_sentences
βΒ Β βββ health4_signer5_rep2_sentences
βΒ Β βββ health4_signer5_rep3_sentences
βΒ Β βββ health4_signer5_rep4_sentences
βΒ Β βββ health4_signer5_rep5_sentences
βΒ Β βββ health4_signer6_rep1_sentences
βΒ Β βββ health4_signer6_rep2_sentences
βΒ Β βββ health4_signer6_rep3_sentences
βΒ Β βββ health4_signer6_rep4_sentences
βΒ Β βββ health4_signer6_rep5_sentences
βΒ Β βββ health4_signer7_rep1_sentences
βΒ Β βββ health4_signer7_rep2_sentences
βΒ Β βββ health4_signer7_rep3_sentences
βΒ Β βββ health4_signer7_rep4_sentences
βΒ Β βββ health4_signer7_rep5_sentences
βββ health4.zip
βββ health5
βΒ Β βββ health5_signer1_rep1_sentences
βΒ Β βββ health5_signer1_rep2_sentences
βΒ Β βββ health5_signer1_rep3_sentences
βΒ Β βββ health5_signer1_rep4_sentences
βΒ Β βββ health5_signer1_rep5_sentences
βΒ Β βββ health5_signer2_rep1_sentences
βΒ Β βββ health5_signer2_rep2_sentences
βΒ Β βββ health5_signer2_rep3_sentences
βΒ Β βββ health5_signer2_rep4_sentences
βΒ Β βββ health5_signer2_rep5_sentences
βΒ Β βββ health5_signer3_rep1_sentences
βΒ Β βββ health5_signer3_rep2_sentences
βΒ Β βββ health5_signer3_rep3_sentences
βΒ Β βββ health5_signer3_rep4_sentences
βΒ Β βββ health5_signer3_rep5_sentences
βΒ Β βββ health5_signer4_rep1_sentences
βΒ Β βββ health5_signer4_rep2_sentences
βΒ Β βββ health5_signer4_rep3_sentences
βΒ Β βββ health5_signer4_rep4_sentences
βΒ Β βββ health5_signer4_rep5_sentences
βΒ Β βββ health5_signer5_rep1_sentences
βΒ Β βββ health5_signer5_rep2_sentences
βΒ Β βββ health5_signer5_rep3_sentences
βΒ Β βββ health5_signer5_rep4_sentences
βΒ Β βββ health5_signer5_rep5_sentences
βΒ Β βββ health5_signer6_rep1_sentences
βΒ Β βββ health5_signer6_rep2_sentences
βΒ Β βββ health5_signer6_rep3_sentences
βΒ Β βββ health5_signer6_rep4_sentences
βΒ Β βββ health5_signer6_rep5_sentences
βΒ Β βββ health5_signer7_rep1_sentences
βΒ Β βββ health5_signer7_rep2_sentences
βΒ Β βββ health5_signer7_rep3_sentences
βΒ Β βββ health5_signer7_rep4_sentences
βΒ Β βββ health5_signer7_rep5_sentences
βββ health5.zip
βββ kep1.zip
βββ kep2.zip
βββ kep3.zip
βββ kep4.zip
βββ kep5.zip
βββ police1.zip
βββ police2.zip
βββ police3.zip
βββ police4.zip
βββ police5.zip
βββ supplementary.zip
Ok, I was wrong. The Zenodo link does not have the ISLR dataset.
Please try from here: https://drive.google.com/drive/folders/18ruYi9MULMm1KQtUgdIhN0m-XilRhncg
Got that link from here: https://vcl.iti.gr/dataset/gsl/
Thanks a lot. I found these data needed.
I have no idea how to get the Isolated gloss sign language recognition (GSL isol.) data (xxx_signerx_repx_glosses), while I only find the continuous sign language recognition data (xxx_signerx_repx_sentences) from https://zenodo.org/record/3941811.
Thank you very much for any information about this.