Knitted Disruption - Build Stuff Ukraine 2019
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The document discusses embedding data in knitted textiles, simulating knitting digitally, reverse engineering knitting patterns from existing knits, and developing a machine learning model to recognize stitch patterns in photographs of knitting. It describes collecting a dataset of knitting images, manually labeling them with their stitch patterns, training a deep learning model on the images, and deploying the model as a web application for stitch pattern recognition. Key challenges discussed include obtaining a large enough training set and achieving high accuracy on the validation set after multiple rounds of training.
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Knitted Disruption - Build Stuff Ukraine 2019
- 1. @web_goddess Knitted Disruption Kris Howard - Build Stuff 2019
- 4. @web_goddess ..but I’m also a geek.
- 5. @web_goddess Overview • Embedding data in textiles • Knitting machines and DSLs • Simulating knitting and digital manipulation • Reverse engineering and forensic knitting • My KnittingML project • Lessons from the knitting community
- 7. @web_goddess Binary encoding “Binary scarf” by heycarrieann
- 8. @web_goddess The Viral Knitting Project
- 12. @web_goddess “The Sleep Blanket” by Seung Lee
- 13. @web_goddess “The Neuroknitting Project” - Flickr: Mar Canet
- 23. @web_goddess Rows 1, 5, and 9 (RS): K1, *k3, k2tog, k4, yo, p2, [k2, yo, ssk] 3 times, p2, yo, k4, ssk, k3, repeat from * to last st, k1. Rows 2, 6, and 10: K1, *p2, p2tog, p4, yo, p1, k2, [p2, yo, p2tog] 3 times, k2, yo, p4, p2tog, p3, repeat from * to last st, k1. Rows 3, 7, and 11: K1, *k1, k2tog, k4, yo, k2, p2, [k2, yo, ssk] 3 times, p2, k2, yo, k4, ssk, k1, repeat from * to last st, k1. Rows 4, 8, and 12: K1, *p2tog, p4, yo, p3, k2, [p2, yo, p2tog] 3 times, k2, p3, yo, p4, p2tog, repeat from * to last st, k1. Rows 13, 17, and 21: K1, *yo, ssk, k2, yo, ssk, p2, yo, k4, ssk, k6, k2tog, k4, yo, p2, k2, yo, ssk, k2, repeat from * to last st, k1. Rows 14, 18, and 22: K1, *yo, p2tog, p2, yo, p2tog, k2, p1, yo, p4, p2tog, p4, p2tog, p4, yo, p1, k2, p2, yo, p2tog, p2, repeat from * to last st, k1. Rows 15, 19, and 23: K1, *yo, ssk, k2, yo, ssk, p2, k2, yo, k4, ssk, k2, k2tog, k4, yo, k2, p2, k2, yo, ssk, k2, repeat from * to last st, k1. Rows 16, 20, and 24: K1, *yo, p2tog, p2, yo, p2tog, k2, p3, yo, p4, p2tog, p2tog, p4,
- 24. @web_goddess
- 25. @web_goddess Industrial Shima Seiki SDS-ONE Design Software
- 26. @web_goddess DOKUknit from DOKU GmbH
- 27. @web_goddess Purl Paper by Chelsea Corvus
- 30. @web_goddess<pattern:pattern xmlns:pattern="http://www.knitml.com/schema/pattern" xmlns="http:// www.knitml.com/schema/operations" xmlns:common="http://www.knitml.com/schema/common" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http:// www.knitml.com/schema/pattern http://www.knitml.com/schema/pattern-0.7.xsd http:// www.knitml.com/schema/operations http://www.knitml.com/schema/operations-0.7.xsd http:// www.knitml.com/schema/common http://www.knitml.com/schema/common-0.7.xsd" version="0.7" xml:lang="en"> <pattern:directives> <pattern:instruction-definitions> <inline-instruction id="cross-2-over-2" label="2/2 LC"> <cross-stitches first="2" next="2" type="front" /> <knit>4</knit> </inline-instruction> <inline-instruction id="cross-2-behind-2" label="2/2 RC"> <cross-stitches first="2" next="2" type="back" /> <knit>4</knit> </inline-instruction> </pattern:instruction-definitions> </pattern:directives> <pattern:general-information> <pattern:name>Color Sampler Swatch</pattern:name> <pattern:description>A basic 2-color swatch sampler</pattern:description> <pattern:dimensions /> <pattern:gauge type="stockinette"> <pattern:stitch-gauge unit="st/in">5</pattern:stitch-gauge> <pattern:row-gauge unit="row/in">7</pattern:row-gauge> </pattern:gauge>
- 31. @web_goddess Pattern "en" { Directives { InstructionDefinitions { InlineInstruction 'cross-2-over-2' [label:"2/2 LC"] { cross 2 inFrontOf 2, k4 } InlineInstruction 'cross-2-behind-2' [label:"2/2 RC"] { cross 2 behind 2, k4 } } } GeneralInformation { Name: "Color Sampler Swatch" Description: "A basic 2-color swatch sampler" Dimensions Gauge 'stockinette' { StitchGauge: 5 stitchesPerInch RowGauge: 7 rowsPerInch } Techniques { Technique: "stranded knitting" Technique: "cabling" } Author { FirstName: "Jonathan" LastName: "Whitall" } KnittingEL
- 32. @web_goddess Benefits of a DSL
- 40. @web_goddess Could a computer READ knitting?
- 41. @web_goddess
- 43. @web_goddess Queen Susan shawl “Queen Susan Shawl” by The Ravelry Heirloom Knitting Forum
- 44. @web_goddess The Green Sweater “The Green Sweater” by Lea Stern
- 49. @web_goddess The plan 1. Get training data 2. Label training data 3. Train ML model 4. Deploy ML model 5. Build web frontend for inference 6. Dance on the grave of 1500-year-old knitting industry 💃
- 50. @web_goddess 1. Get training data
- 53. @web_goddess AWS Cloud Amazon Simple Email Service Email Amazon Simple Storage Service AWS Lambda Amazon Simple Storage Service Amazon DynamoDB Email Processing
- 54. @web_goddess
- 55. @web_goddess
- 56. @web_goddess 2. Label training data
- 57. @web_goddess
- 58. @web_goddess Garter Stitch All rows: Knit Reverse Stockinette Row 1: Purl Row 2: Knit
- 60. @web_goddess
- 61. @web_goddess 3. Train ML model ml.p3.2xlarge
- 62. @web_goddess 4. Deploy ML model
- 63. @web_goddess 5. Build web frontend for inference
- 64. @web_goddess
- 65. @web_goddess
- 66. @web_goddess
- 67. @web_goddess
- 68. @web_goddess Number of training images: 368 Train-accuracy=0.579545 Validation-accuracy=0.458333
- 69. @web_goddess 3. Train the model… again xkcd.com/1838/
- 71. @web_goddess Number of training images: 900 Train-accuracy=1.000000 Validation-accuracy=0.948275
- 72. @web_goddess Image providers Alexis Nast, Alison Reeve, Amanda Blicharz, Catherine Eibner, Catherine Manning, Cheryl Dubien, Christine Jones, Clarissa Meyer, Claudine Ong, Cornelius McCallum, Debbie Teakle, Donna Edgar, Emma Coleman, Emma McDonnell, Erin Zimmer, Fabi Meyas, Good Wool NZ, Jana Wiese, Jane Downey, Jess Jourdan, Jessica Marshallsay, Jessica McAlinden, Judith Simpson, Karin Slegers, Kate Peters, Katie Vhay, Laura Hampton, Lauren Burka, Lele Schirmeister, Linda van der Pal, Lisa Eckstein, Lynn Tostevin, Marg Willis, Maria Shanley, Megan Cole, Melanie Duff, Monica PDX, Nancy Hunt, Nicole O’Hara, Paula McKinney, Rian Anderson, Rachel Hands, Sabine Feldner, Sally Webersinke, Sian Robyns, Simeon Johnson, Sophie Kunze, Tammy Meyer, Tammy Vipond, Tehmina Gladman, Theresa Norrmen, Theresa Sovacool, Ulrika Malmgren Labellers Amelia Hodsdon, Amy Allenspach, Carina Zona, Celia King, Donna Edgar, Jen Luker, Jody Podbury, Kristen Symonds, Lele Schirmeister, Lesley Diskin, Liz Evatt, Marg Willis, Merry Glennie, Tamsin Guidance Aparna Elangovan, Gabe Hollombe
- 76. Invest in your tools Flickr: markseton
- 77. Welcome newbies