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2025/02 112

[Learn][English] "Itโ€™s not rocket science." โ€“ ๋ณ„๋กœ ์–ด๋ ค์šด ๊ฑฐ ์•„๋ƒ!

์˜์–ด๋ฅผ ๋ฐฐ์šฐ๋‹ค ๋ณด๋ฉด ์˜ํ™”๋‚˜ ๋“œ๋ผ๋งˆ์—์„œ ์ž์ฃผ ๋“ค๋ฆฌ๋Š” ํ‘œํ˜„์ด ์žˆ์ง€๋งŒ, ์ •ํ™•ํ•œ ๋œป์„ ๋ชจ๋ฅด๋ฉด ์ดํ•ดํ•˜๊ธฐ ์–ด๋ ค์šด ๊ฒฝ์šฐ๊ฐ€ ๋งŽ๋‹ค. ์˜ค๋Š˜์€ ๊ทธ๋Ÿฐ ํ‘œํ˜„ ์ค‘ ํ•˜๋‚˜์ธ โ€œItโ€™s not rocket science.โ€์— ๋Œ€ํ•ด ์•Œ์•„๋ณด๊ฒ ๋‹ค.1. โ€œItโ€™s not rocket science.โ€๋ž€?์ด ํ‘œํ˜„์„ ์ง์—ญํ•˜๋ฉด โ€œ๊ทธ๊ฑด ๋กœ์ผ“ ๊ณผํ•™์ด ์•„๋‹ˆ์•ผ.โ€ ๋ผ๋Š” ๋œป์ด์ง€๋งŒ, ์‹ค์ œ ์˜๋ฏธ๋Š” โ€œ๋ณ„๋กœ ์–ด๋ ค์šด ๊ฒŒ ์•„๋‹ˆ์•ผ.โ€ ๋˜๋Š” โ€œ๋ณต์žกํ•œ ์ผ์ด ์•„๋‹ˆ์•ผ.โ€๋ผ๋Š” ๋œป์ž„.์ฆ‰, ์–ด๋–ค ์ผ์ด ์ƒ๊ฐ๋ณด๋‹ค ์‰ฝ๊ฑฐ๋‚˜ ๊ฐ„๋‹จํ•˜๋‹ค๋Š” ๊ฒƒ์„ ๊ฐ•์กฐํ•  ๋•Œ ์‚ฌ์šฉํ•จ. ํŠนํžˆ ๋ˆ„๊ตฐ๊ฐ€๊ฐ€ ๋„ˆ๋ฌด ์–ด๋ ต๊ฒŒ ์ƒ๊ฐํ•  ๋•Œ, โ€œ๊ทธ๊ฑฐ ๊ทธ๋ ‡๊ฒŒ ์–ด๋ ค์šด ๊ฑฐ ์•„๋‹ˆ์•ผ!โ€๋ผ๊ณ  ๋งํ•  ๋•Œ ์œ ์šฉํ•จ.2. โ€œItโ€™s not rocket science.โ€ ์˜ˆ๋ฌธA: How do I use this coffee machine? (์ด ์ปคํ”ผ ๋จธ..

[Python][AI] RAG (Retrieval-Augmented Generation)๋ž€ ๋ฌด์—‡์ธ๊ฐ€?

์ตœ๊ทผ ์ธ๊ณต์ง€๋Šฅ(AI) ๋ชจ๋ธ์ด ๋ฐœ์ „ํ•˜๋ฉด์„œ ๋Œ€ํ™”ํ˜• AI, ์ฑ—๋ด‡, ๋ฌธ์„œ ์š”์•ฝ, ์ฝ”๋“œ ์ƒ์„ฑ ๋“ฑ ๋‹ค์–‘ํ•œ ๋ถ„์•ผ์—์„œ ์ž์—ฐ์–ด ์ฒ˜๋ฆฌ(NLP) ๊ธฐ์ˆ ์ด ํ™œ์šฉ๋˜๊ณ  ์žˆ๋‹ค. ํŠนํžˆ, ๋Œ€ํ˜• ์–ธ์–ด ๋ชจ๋ธ(LLM, Large Language Model)์˜ ์„ฑ๋Šฅ์ด ๊ธ‰๊ฒฉํžˆ ํ–ฅ์ƒ๋˜๋ฉด์„œ ์ƒ์„ฑํ˜• AI(Generative AI)์˜ ๊ฐ€๋Šฅ์„ฑ์ด ๋”์šฑ ํ™•๋Œ€๋˜๊ณ  ์žˆ๋‹ค. ํ•˜์ง€๋งŒ ์ด๋Ÿฌํ•œ ๋ชจ๋ธ์—๋„ ๋ช‡ ๊ฐ€์ง€ ํ•œ๊ณ„๊ฐ€ ์žˆ๋‹ค.์‚ฌ์ „ ํ•™์Šต ๋ฐ์ดํ„ฐ์— ์˜์กด์ ์ž„ โ€“ LLM์€ ํ•™์Šต๋œ ๋ฐ์ดํ„ฐ ๋‚ด์—์„œ๋งŒ ์ •๋ณด๋ฅผ ์ƒ์„ฑํ•  ์ˆ˜ ์žˆ์Œ. ์ตœ์‹  ์ •๋ณด๋‚˜ ์™ธ๋ถ€ ๋ฌธ์„œ๋ฅผ ์ฆ‰๊ฐ ๋ฐ˜์˜ํ•˜๋Š” ๊ฒƒ์ด ์–ด๋ ค์›€ํ™˜๊ฐ(Hallucination) ๋ฌธ์ œ โ€“ ์กด์žฌํ•˜์ง€ ์•Š๋Š” ์ •๋ณด๋ฅผ ์ƒ์„ฑํ•  ๊ฐ€๋Šฅ์„ฑ์ด ์žˆ์Œ์ •ํ™•์„ฑ ๋ฐ ์‹ ๋ขฐ์„ฑ ๋ถ€์กฑ โ€“ ๋ชจ๋ธ์ด ์‚ฌ์‹ค๊ณผ ๋‹ค๋ฅธ ๋‚ด์šฉ์„ ํฌํ•จํ•  ์ˆ˜ ์žˆ์Œ์ด๋Ÿฌํ•œ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•ด ๋“ฑ์žฅํ•œ ๊ธฐ์ˆ ์ด ๋ฐ”๋กœ RAG(Re..

[Python][pandas] Parquet ํŒŒ์ผ ํฌ๋งท: ๊ณ ์† ๋ฐ์ดํ„ฐ ์ฒ˜๋ฆฌ์— ์ตœ์ ํ™”๋œ ์ปฌ๋Ÿผ ์ €์žฅ ๋ฐฉ์‹

๋ฐ์ดํ„ฐ ๋ถ„์„๊ณผ ๋จธ์‹ ๋Ÿฌ๋‹์„ ํ•˜๋‹ค ๋ณด๋ฉด CSV, JSON, Excel ๋“ฑ์˜ ํŒŒ์ผ ํฌ๋งท์„ ์ž์ฃผ ์‚ฌ์šฉํ•˜๊ฒŒ ๋œ๋‹ค. ํ•˜์ง€๋งŒ ๋Œ€์šฉ๋Ÿ‰ ๋ฐ์ดํ„ฐ๋ฅผ ๋‹ค๋ฃฐ ๋•Œ๋Š” ์†๋„์™€ ์ €์žฅ ํšจ์œจ์„ฑ์ด ์ค‘์š”ํ•œ๋ฐ, ์ด๋Ÿด ๋•Œ Parquet ํฌ๋งท์ด ๊ฐ•๋ ฅํ•œ ๋Œ€์•ˆ์ด ๋  ์ˆ˜ ์žˆ๋‹ค.1. Parquet๋ž€?Apache Parquet๋Š” ์ปฌ๋Ÿผ ๊ธฐ๋ฐ˜ ์ €์žฅ ๋ฐฉ์‹(columnar storage format)์„ ์‚ฌ์šฉํ•˜๋Š” ์˜คํ”ˆ์†Œ์Šค ๋ฐ์ดํ„ฐ ํฌ๋งท์ž„. Hadoop ์ƒํƒœ๊ณ„์—์„œ ๊ฐœ๋ฐœ๋˜์—ˆ์œผ๋ฉฐ, ๋Œ€์šฉ๋Ÿ‰ ๋ฐ์ดํ„ฐ ์ฒ˜๋ฆฌ์™€ ๋ถ„์„ ์„ฑ๋Šฅ์„ ๊ทน๋Œ€ํ™”ํ•˜๋Š” ๋ฐ ์ตœ์ ํ™”๋จ.ํŠน์ง•์ปฌ๋Ÿผ ๊ธฐ๋ฐ˜ ์ €์žฅ(Columnar Storage)CSV๋‚˜ JSON ๊ฐ™์€ ํฌ๋งท์€ ๋ฐ์ดํ„ฐ๋ฅผ ํ–‰(Row) ๋‹จ์œ„๋กœ ์ €์žฅํ•˜์ง€๋งŒ, Parquet์€ ์ปฌ๋Ÿผ(Column) ๋‹จ์œ„๋กœ ์ €์žฅํ•จํŠน์ • ์ปฌ๋Ÿผ๋งŒ ์ฝ์–ด๋„ ๋˜๋ฏ€๋กœ, ๋ถ„์„ ์†๋„๊ฐ€ ํ–ฅ์ƒ๋จ์••์ถ• ๋ฐ ์ธ์ฝ”๋”ฉ(Co..

[Learn][English] "Can I get this to go?" โ€“ ์Œ์‹ ํฌ์žฅ ์ฃผ๋ฌธํ•  ๋•Œ ์œ ์šฉํ•œ ์˜์–ด ํ‘œํ˜„

์‹๋‹น์ด๋‚˜ ์นดํŽ˜์—์„œ ์Œ์‹์„ ๋จน์ง€ ์•Š๊ณ  ํฌ์žฅํ•ด์„œ ๊ฐ€๊ณ  ์‹ถ์„ ๋•Œ ์–ด๋–ป๊ฒŒ ๋งํ•ด์•ผ ํ• ๊นŒ?๋ฐ”๋กœ "Can I get this to go?"๋ผ๋Š” ํ‘œํ˜„์„ ์‚ฌ์šฉํ•˜๋ฉด ๋œ๋‹ค.1. "Can I get this to go?"์˜ ์˜๋ฏธ"Can I get this to go?"๋Š” "์ด๊ฑฐ ํฌ์žฅํ•  ์ˆ˜ ์žˆ๋‚˜์š”?"๋ผ๋Š” ๋œป์œผ๋กœ, ์Œ์‹์„ ํฌ์žฅ ์ฃผ๋ฌธํ•  ๋•Œ ์ž์ฃผ ์‚ฌ์šฉ๋˜๋Š” ํ‘œํ˜„์ž„.์˜ˆ๋ฅผ ๋“ค์–ด, ํ–„๋ฒ„๊ฑฐ ๊ฐ€๊ฒŒ์—์„œ ์ฃผ๋ฌธํ•œ ์Œ์‹์„ ๋งค์žฅ์—์„œ ๋จน์ง€ ์•Š๊ณ  ๊ฐ€์ ธ๊ฐ€๊ณ  ์‹ถ๋‹ค๋ฉด "Can I get this to go?"๋ผ๊ณ  ๋งํ•˜๋ฉด ๋จ.2. ์˜ˆ๋ฌธ๊ณผ ํ•จ๊ป˜ ๋ฐฐ์šฐ๊ธฐ(1) ๊ธฐ๋ณธ์ ์ธ ํ™œ์šฉ ์˜ˆ๋ฌธCan I get this to go, please?โ†’ ์ด๊ฑฐ ํฌ์žฅํ•  ์ˆ˜ ์žˆ๋‚˜์š”? Iโ€™d like to get this to go.โ†’ ์ด๊ฑฐ ํฌ์žฅํ•ด ์ฃผ์„ธ์š”. Can I have my coffee ..

[Python][AI] ํ•œ๊ตญ ๋กœ๋˜ ๋ถ„์„: ๋‹น์ฒจ ๋ฒˆํ˜ธ ๋ถ„์„๊ณผ ํŒจํ„ด ์ฐพ๊ธฐ(EDA)

2025.02.18 - [๊ฐœ๋ฐœ Code/์ธ๊ณต์ง€๋Šฅ A.I.] - [Python][AI] ํ•œ๊ตญ ๋กœ๋˜ ๋ถ„์„: ๋‹น์ฒจ ํ™•๋ฅ ๊ณผ ์˜ˆ์ธก์˜ ๋ถˆ๊ฐ€๋Šฅ์„ฑ [Python][AI] ํ•œ๊ตญ ๋กœ๋˜ ๋ถ„์„: ๋‹น์ฒจ ํ™•๋ฅ ๊ณผ ์˜ˆ์ธก์˜ ๋ถˆ๊ฐ€๋Šฅ์„ฑ1. ํ•œ๊ตญ ๋กœ๋˜ ๊ฐœ๋…๋กœ๋˜๋Š” 1๋ถ€ํ„ฐ 45๊นŒ์ง€์˜ ์ˆซ์ž ์ค‘ 6๊ฐœ๋ฅผ ์„ ํƒํ•˜๋Š” ๋ฐฉ์‹์˜ ๋ณต๊ถŒ์ด๋‹ค. ๊ตฌ๋งค์ž๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™์€ ๋ฐฉ๋ฒ•์œผ๋กœ ๋ฒˆํ˜ธ๋ฅผ ์„ ํƒํ•  ์ˆ˜ ์žˆ๋‹ค.์ž๋™ ์„ ํƒ: 45๊ฐœ์˜ ๋ฒˆํ˜ธ ์ค‘ 6๊ฐœ ๋ฒˆํ˜ธ๋ฅผ ๋ฌด์ž‘์œ„๋กœ ๋ถ€์—ฌ๋ฐ›5hr1rnp.tistory.com ๋ณธ ๊ธ€์—์„œ๋Š” ๋กœ๋˜ ๋‹น์ฒจ ๋ฐ์ดํ„ฐ์— ๋Œ€ํ•œ ํƒ์ƒ‰์  ๋ฐ์ดํ„ฐ ๋ถ„์„(EDA)์„ ์ง„ํ–‰ํ•˜๋ฉฐ, ๋‹ค์–‘ํ•œ ํ†ต๊ณ„์  ํŠน์ง•์„ ์‚ดํŽด๋ณด๊ฒ ๋‹ค.1. ๋ฐ์ดํ„ฐ ์ „์ฒ˜๋ฆฌ๋กœ๋˜ ๋ฐ์ดํ„ฐ๋Š” ๋™ํ–‰๋ณต๊ถŒ ์‚ฌ์ดํŠธ์—์„œ ์ œ๊ณตํ•˜๋Š” ์—‘์…€ ํŒŒ์ผ์„ ๊ฐ๊ฐ lotto-1.xls(1~600ํšŒ), lotto-2.xls(601~1,159ํšŒ)๋กœ ์ €์žฅํ•จ..

[Python][AI] ํ•œ๊ตญ ๋กœ๋˜ ๋ถ„์„: ๋‹น์ฒจ ํ™•๋ฅ ๊ณผ ์˜ˆ์ธก์˜ ๋ถˆ๊ฐ€๋Šฅ์„ฑ

1. ํ•œ๊ตญ ๋กœ๋˜ ๊ฐœ๋…๋กœ๋˜๋Š” 1๋ถ€ํ„ฐ 45๊นŒ์ง€์˜ ์ˆซ์ž ์ค‘ 6๊ฐœ๋ฅผ ์„ ํƒํ•˜๋Š” ๋ฐฉ์‹์˜ ๋ณต๊ถŒ์ด๋‹ค. ๊ตฌ๋งค์ž๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™์€ ๋ฐฉ๋ฒ•์œผ๋กœ ๋ฒˆํ˜ธ๋ฅผ ์„ ํƒํ•  ์ˆ˜ ์žˆ๋‹ค.์ž๋™ ์„ ํƒ: 45๊ฐœ์˜ ๋ฒˆํ˜ธ ์ค‘ 6๊ฐœ ๋ฒˆํ˜ธ๋ฅผ ๋ฌด์ž‘์œ„๋กœ ๋ถ€์—ฌ๋ฐ›์Œ๋ฐ˜์ž๋™ ์„ ํƒ: ์›ํ•˜๋Š” ๋ฒˆํ˜ธ ์ผ๋ถ€(1~5๊ฐœ)๋ฅผ ์ง์ ‘ ์„ ํƒํ•˜๊ณ , ๋‚˜๋จธ์ง€๋Š” ๋ฌด์ž‘์œ„๋กœ ์ฑ„์›€์ˆ˜๋™ ์„ ํƒ: 6๊ฐœ ๋ฒˆํ˜ธ๋ฅผ ์ „๋ถ€ ์ง์ ‘ ์„ ํƒ์ถ”์ฒจ์€ ๋งค์ฃผ ํ† ์š”์ผ ์ €๋…์— ์ง„ํ–‰๋˜๋ฉฐ, 6๊ฐœ์˜ ๋‹น์ฒจ๋ฒˆํ˜ธ์™€ 1๊ฐœ์˜ ๋ณด๋„ˆ์Šค๋ฒˆํ˜ธ๊ฐ€ ๋ฌด์ž‘์œ„๋กœ ๊ฒฐ์ •๋œ๋‹ค. ๋ณด๋„ˆ์Šค๋ฒˆํ˜ธ๋Š” 2๋“ฑ ๋‹น์ฒจ์ž๋ฅผ ํŒ๋ณ„ํ•˜๋Š” ๋ฐ ์‚ฌ์šฉ๋œ๋‹ค.2. ๋‹น์ฒจ ๋“ฑ๊ธ‰๊ณผ ํ™•๋ฅ ๋กœ๋˜์˜ ๋‹น์ฒจ์€ ๋ฒˆํ˜ธ ์ผ์น˜ ๊ฐœ์ˆ˜์— ๋”ฐ๋ผ 5๊ฐœ์˜ ๋“ฑ๊ธ‰์œผ๋กœ ๋‚˜๋‰จ. ๊ฐ ๋“ฑ๊ธ‰๋ณ„ ๋‹น์ฒจ ํ™•๋ฅ ๊ณผ ๋‹น์ฒจ๊ธˆ ๋ฐฐ๋ถ„ ๊ตฌ์กฐ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™์Œ. ๋“ฑ์œ„๋‹น์ฒจ ์กฐ๊ฑด๋‹น์ฒจ ํ™•๋ฅ ๋‹น์ฒจ๊ธˆ ๋ฐฐ๋ถ„1๋“ฑ6๊ฐœ ๋ฒˆํ˜ธ ์ผ์น˜1 / 8,145,060์ด ๋‹น์ฒจ๊ธˆ ์ค‘ 4๋“ฑ, 5๋“ฑ ์ œ์™ธ ๊ธˆ..

[Python][AI] OpenCV YuNet์„ ํ™œ์šฉํ•œ ๋™์˜์ƒ ์–ผ๊ตด ๋ชจ์ž์ดํฌ ์ฒ˜๋ฆฌ

2025.02.17 - [๊ฐœ๋ฐœ Code/์ธ๊ณต์ง€๋Šฅ A.I.] - [Python][AI] OpenCV: ์ปดํ“จํ„ฐ ๋น„์ „ ๋ผ์ด๋ธŒ๋Ÿฌ๋ฆฌ ์†Œ๊ฐœ2025.02.17 - [๊ฐœ๋ฐœ Code/์ธ๊ณต์ง€๋Šฅ A.I.] - [Python][AI] OpenCV YuNet์„ ํ™œ์šฉํ•œ ์–ผ๊ตด ํƒ์ง€2025.02.17 - [๊ฐœ๋ฐœ Code/์ธ๊ณต์ง€๋Šฅ A.I.] - [Python][AI] OpenCV YuNet์„ ํ™œ์šฉํ•œ ์–ผ๊ตด ๋ชจ์ž์ดํฌ ์ฒ˜๋ฆฌ 1. ๋™์˜์ƒ ์–ผ๊ตด ๋ชจ์ž์ดํฌ ๊ฐœ์š”์ด์ „ ๊ธ€์—์„œ๋Š” ์ •์ ์ธ ์ด๋ฏธ์ง€ ๋˜๋Š” ๋””๋ ‰ํ† ๋ฆฌ์—์„œ ์–ผ๊ตด์„ ํƒ์ง€ํ•˜๊ณ  ๋ชจ์ž์ดํฌ๋ฅผ ์ ์šฉํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ๋‹ค๋ฃจ์—ˆ๋‹ค. ์ด๋ฒˆ ๊ธ€์—์„œ๋Š” ๋™์˜์ƒ์—์„œ ์–ผ๊ตด์„ ์ž๋™์œผ๋กœ ํƒ์ง€ํ•˜๊ณ  ๋ชจ์ž์ดํฌ๋ฅผ ์ ์šฉํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ๋‹ค๋ฃฌ๋‹ค.OpenCV์˜ YuNet ์–ผ๊ตด ํƒ์ง€ ๋ชจ๋ธ์„ ํ™œ์šฉํ•˜์—ฌ ์‹ค์‹œ๊ฐ„์œผ๋กœ ์–ผ๊ตด์„ ๊ฐ์ง€ํ•˜๊ณ , ํ•ด๋‹น ์˜์—ญ์„ ๋ชจ์ž์ดํฌ ์ฒ˜๋ฆฌ..

[Python][AI] OpenCV YuNet์„ ํ™œ์šฉํ•œ ์–ผ๊ตด ๋ชจ์ž์ดํฌ ์ฒ˜๋ฆฌ

2025.02.17 - [๊ฐœ๋ฐœ Code/์ธ๊ณต์ง€๋Šฅ A.I.] - [Python][AI] OpenCV: ์ปดํ“จํ„ฐ ๋น„์ „ ๋ผ์ด๋ธŒ๋Ÿฌ๋ฆฌ ์†Œ๊ฐœ2025.02.17 - [๊ฐœ๋ฐœ Code/์ธ๊ณต์ง€๋Šฅ A.I.] - [Python][AI] OpenCV YuNet์„ ํ™œ์šฉํ•œ ์–ผ๊ตด ํƒ์ง€ 1. ์–ผ๊ตด ๋ชจ์ž์ดํฌ ์ฒ˜๋ฆฌ ๊ฐœ์š”์ด๋ฒˆ ๊ธ€์—์„œ๋Š” OpenCV์˜ YuNet ๋ชจ๋ธ์„ ์ด์šฉํ•˜์—ฌ ์ด๋ฏธ์ง€์—์„œ ์–ผ๊ตด์„ ์ž๋™์œผ๋กœ ํƒ์ง€ํ•˜๊ณ , ํ•ด๋‹น ์˜์—ญ์— ๋ชจ์ž์ดํฌ๋ฅผ ์ ์šฉํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ๋‹ค๋ฃฐ ๊ฒƒ์ด๋‹ค. 2. ์‹คํ–‰ ํ™˜๊ฒฝ ์ค€๋น„OpenCV ์„ค์น˜pip install opencv-python 3. YuNet ์–ผ๊ตด ํƒ์ง€ ๋ชจ๋ธ ๋‹ค์šด๋กœ๋“œ import osimport requests# YuNet ๋ชจ๋ธ ํŒŒ์ผ ์„ค์ •model_filename = "face_detection_yunet_2023mar.o..

[Python][AI] OpenCV YuNet์„ ํ™œ์šฉํ•œ ์–ผ๊ตด ํƒ์ง€

2025.02.17 - [๊ฐœ๋ฐœ Code/์ธ๊ณต์ง€๋Šฅ A.I.] - [Python][AI] OpenCV: ์ปดํ“จํ„ฐ ๋น„์ „ ๋ผ์ด๋ธŒ๋Ÿฌ๋ฆฌ ์†Œ๊ฐœ1. YuNet์„ ์ด์šฉํ•œ ์–ผ๊ตด ํƒ์ง€ ๊ฐœ์š”OpenCV๋Š” ๊ฐ•๋ ฅํ•œ ์ด๋ฏธ์ง€ ์ฒ˜๋ฆฌ ๊ธฐ๋Šฅ์„ ์ œ๊ณตํ•˜๋ฉฐ, cv2.FaceDetectorYN์„ ์ด์šฉํ•˜๋ฉด ๋”ฅ๋Ÿฌ๋‹ ๊ธฐ๋ฐ˜ ์–ผ๊ตด ํƒ์ง€๋ฅผ ๊ฐ„๋‹จํ•˜๊ฒŒ ์ˆ˜ํ–‰ํ•  ์ˆ˜ ์žˆ๋‹ค. ์ด๋ฒˆ ๊ธ€์—์„œ๋Š” OpenCV์˜ YuNet ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜์—ฌ ์ด๋ฏธ์ง€์—์„œ ์–ผ๊ตด์„ ํƒ์ง€ํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ๋‹ค๋ฃฌ๋‹ค.2. ์‹คํ–‰ ํ™˜๊ฒฝ ์ค€๋น„(1) OpenCV ์„ค์น˜YuNet์„ ์‚ฌ์šฉํ•˜๋ ค๋ฉด opencv-python ํŒจํ‚ค์ง€๋งŒ ์„ค์น˜ํ•˜๋ฉด ๋จ. Jupyter Notebook์—์„œ ๋‹ค์Œ ๋ช…๋ น์–ด๋ฅผ ์‹คํ–‰ํ•˜์—ฌ ์„ค์น˜ํ•  ์ˆ˜ ์žˆ์Œ.pip install opencv-python ์„ค์น˜๊ฐ€ ์™„๋ฃŒ๋˜๋ฉด, OpenCV ๋ฒ„์ „์„ ํ™•์ธํ•˜์—ฌ ์ •์ƒ์ ์œผ๋กœ ์„ค์น˜๋˜์—ˆ๋Š”..

[Python][AI] OpenCV: ์ปดํ“จํ„ฐ ๋น„์ „ ๋ผ์ด๋ธŒ๋Ÿฌ๋ฆฌ ์†Œ๊ฐœ

1. OpenCV๋ž€?OpenCV(Open Source Computer Vision)๋Š” ์‹ค์‹œ๊ฐ„ ์ด๋ฏธ์ง€ ์ฒ˜๋ฆฌ ๋ฐ ์ปดํ“จํ„ฐ ๋น„์ „ ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์„ ์œ„ํ•œ ์˜คํ”ˆ์†Œ์Šค ๋ผ์ด๋ธŒ๋Ÿฌ๋ฆฌ. ์ธํ…”์—์„œ ๊ฐœ๋ฐœํ•˜๊ณ  2000๋…„ 6์›”์— ๋ฐœํ‘œ๋˜์—ˆ์œผ๋ฉฐ, ํ˜„์žฌ๋Š” ์ธํ…”์ด ์†์„ ๋—€ ์ƒํƒœ๋‹ค. Python, C++, Java ๋“ฑ์„ ์ง€์›ํ•˜๋ฉฐ, ๋‹ค์–‘ํ•œ ์šด์˜์ฒด์ œ(Windows, Linux, macOS)์—์„œ ์‹คํ–‰ ๊ฐ€๋Šฅํ•˜๋‹ค.2. OpenCV์˜ ์ฃผ์š” ๊ธฐ๋ŠฅOpenCV๋Š” ์ปดํ“จํ„ฐ ๋น„์ „ ๋ฐ ์ด๋ฏธ์ง€ ์ฒ˜๋ฆฌ์™€ ๊ด€๋ จ๋œ ๋‹ค์–‘ํ•œ ๊ธฐ๋Šฅ์„ ์ œ๊ณตํ•จ.(1) ์ด๋ฏธ์ง€ ๋ฐ ๋™์˜์ƒ ์ฒ˜๋ฆฌ์ด๋ฏธ์ง€ ์ฝ๊ธฐ, ์ €์žฅ, ๋ณ€ํ™˜๋™์˜์ƒ ์žฌ์ƒ ๋ฐ ํ”„๋ ˆ์ž„ ์ฒ˜๋ฆฌ์ƒ‰๊ณต๊ฐ„ ๋ณ€ํ™˜ (RGB โ†” Grayscale, HSV ๋“ฑ)(2) ํ•„ํ„ฐ ๋ฐ ๋ณ€ํ™˜๋ธ”๋Ÿฌ๋ง ๋ฐ ์ƒคํ”„๋‹์—ฃ์ง€ ๊ฒ€์ถœ (Canny Edge Detection)๊ธฐํ•˜ํ•™์  ๋ณ€ํ™˜ (ํšŒ์ „..

[Learn][Korean] How to Ask "How Long Does It Take from Here?" in Korean

When traveling in Korea, you may want to ask someone how long it takes to get to a certain place. Whether you're taking public transportation, walking, or driving, knowing how to ask this question in Korean will make your trip much easier!Basic Phrase: "How Long Does It Take from Here?"In Korean, the phrase "How long does it take from here?" can be expressed as: ์—ฌ๊ธฐ์„œ ์–ผ๋งˆ๋‚˜ ๊ฑธ๋ฆฌ๋‚˜์š”?(Yeogiseo eolmana ge..

[Learn][English] "How far is it from here?" โ€“ ๊ฑฐ๋ฆฌ ๋ฌผ์–ด๋ณผ ๋•Œ ์“ฐ๋Š” ์˜์–ด ํ‘œํ˜„

์—ฌํ–‰์„ ํ•˜๊ฑฐ๋‚˜ ๊ธธ์„ ์ฐพ์„ ๋•Œ ๊ฐ€์žฅ ์œ ์šฉํ•œ ์งˆ๋ฌธ ์ค‘ ํ•˜๋‚˜๊ฐ€ ๋ฐ”๋กœ "How far is it from here?"์ด๋‹ค.์ด ํ‘œํ˜„์€ "์—ฌ๊ธฐ์„œ ์–ผ๋งˆ๋‚˜ ๋ฉ€์–ด์š”?"๋ผ๋Š” ์˜๋ฏธ๋กœ, ๋ชฉ์ ์ง€๊นŒ์ง€์˜ ๊ฑฐ๋ฆฌ๋‚˜ ์†Œ์š” ์‹œ๊ฐ„์„ ๋ฌป๋Š” ๋ฐ ์‚ฌ์šฉ๋œ๋‹ค.1. "How far is it from here?"์˜ ์˜๋ฏธ"How far is it from here?"๋Š”โœ” ์–ด๋–ค ์žฅ์†Œ๊นŒ์ง€์˜ ๊ฑฐ๋ฆฌโœ” ์–ด๋–ค ์žฅ์†Œ๊นŒ์ง€ ๊ฐ€๋Š” ๋ฐ ๊ฑธ๋ฆฌ๋Š” ์‹œ๊ฐ„์„ ๋ฌผ์–ด๋ณผ ๋•Œ ์‚ฌ์šฉํ•˜๋Š” ํ‘œํ˜„์ž„.์˜ˆ๋ฅผ ๋“ค์–ด, ๊ด€๊ด‘์ง€์—์„œ ๋ชฉ์ ์ง€๊นŒ์ง€์˜ ๊ฑฐ๋ฆฌ๋ฅผ ์•Œ๊ณ  ์‹ถ๋‹ค๋ฉด "How far is it from here?"๋ผ๊ณ  ๋ฌผ์–ด๋ณผ ์ˆ˜ ์žˆ์Œ.2. ์˜ˆ๋ฌธ๊ณผ ํ•จ๊ป˜ ๋ฐฐ์šฐ๊ธฐ(1) ๊ธฐ๋ณธ์ ์ธ ํ™œ์šฉ ์˜ˆ๋ฌธHow far is it from here to the train station?โ†’ ์—ฌ๊ธฐ์„œ ๊ธฐ์ฐจ์—ญ๊นŒ์ง€ ์–ผ๋งˆ๋‚˜ ๋ฉ€์–ด์š”? How f..

[Python][AI] ์„ ํ˜• vs ๋น„์„ ํ˜•, ๋‹จ์กฐ vs ๋น„๋‹จ์กฐ ๋ฐ์ดํ„ฐ์…‹ ์ •๋ฆฌ

๋ฐ์ดํ„ฐ ๋ถ„์„๊ณผ ๋จธ์‹ ๋Ÿฌ๋‹์—์„œ ๋ฐ์ดํ„ฐ๋ฅผ ์ดํ•ดํ•˜๋Š” ๊ฒƒ์€ ๋งค์šฐ ์ค‘์š”ํ•˜๋‹ค. ํŠนํžˆ ๋ฐ์ดํ„ฐ์˜ ๊ตฌ์กฐ๋ฅผ ํŒŒ์•…ํ•˜๋Š” ๊ฒƒ์€ ๋ชจ๋ธ ์„ ํƒ๊ณผ ํ•ด์„์— ํฐ ์˜ํ–ฅ์„ ๋ฏธ์นœ๋‹ค. ๋ฐ์ดํ„ฐ๋Š” ํฌ๊ฒŒ ์„ ํ˜•(linear)๊ณผ ๋น„์„ ํ˜•(non-linear), ๋‹จ์กฐ(monotonic)์™€ ๋น„๋‹จ์กฐ(non-monotonic) ํ˜•ํƒœ๋กœ ๊ตฌ๋ถ„ํ•  ์ˆ˜ ์žˆ๋‹ค.1. ์„ ํ˜•(Linear) ๋ฐ์ดํ„ฐ vs ๋น„์„ ํ˜•(Non-Linear) ๋ฐ์ดํ„ฐ(1) ์„ ํ˜• ๋ฐ์ดํ„ฐ (Linear Data)์„ ํ˜• ๋ฐ์ดํ„ฐ๋Š” ๋ณ€์ˆ˜ ๊ฐ„์˜ ๊ด€๊ณ„๊ฐ€ ์ง์„ ์œผ๋กœ ํ‘œํ˜„๋  ์ˆ˜ ์žˆ๋Š” ๋ฐ์ดํ„ฐ๋ฅผ ์˜๋ฏธํ•จ. ์ฆ‰, ํ•œ ๋ณ€์ˆ˜๊ฐ€ ์ฆ๊ฐ€ํ•  ๋•Œ ๋‹ค๋ฅธ ๋ณ€์ˆ˜๋„ ์ผ์ •ํ•œ ๋น„์œจ๋กœ ์ฆ๊ฐ€ํ•˜๊ฑฐ๋‚˜ ๊ฐ์†Œํ•˜๋Š” ํŒจํ„ด์„ ๋ณด์ž„.ํŠน์ง•๋ฐ์ดํ„ฐ๊ฐ€ ์ง์„  ๊ด€๊ณ„๋ฅผ ๋”ฐ๋ฆ„์„ ํ˜• ํšŒ๊ท€(Linear Regression) ๋ชจ๋ธ๋กœ ์‰ฝ๊ฒŒ ์„ค๋ช… ๊ฐ€๋Šฅ์˜ˆ์ธก์ด ์ง๊ด€์ ์ด๋ฉฐ ๊ณ„์‚ฐ ๋น„์šฉ์ด ๋‚ฎ์Œ์˜ˆ์ œํ‚ค์™€ ๋ชธ๋ฌด๊ฒŒ๊ฐ€..

[WebDev][Babel] Babel ์†Œ๊ฐœ: ์ตœ์‹  ์ž๋ฐ”์Šคํฌ๋ฆฝํŠธ๋ฅผ ๋ชจ๋“  ๋ธŒ๋ผ์šฐ์ €์—์„œ ์‹คํ–‰ํ•˜๊ธฐ

1. Babel์ด๋ž€?Babel์€ ์ž๋ฐ”์Šคํฌ๋ฆฝํŠธ ์ปดํŒŒ์ผ๋Ÿฌ(JavaScript Compiler) ๋กœ, ์ตœ์‹  ECMAScript(ES6+) ์ฝ”๋“œ๊ฐ€ ๊ตฌํ˜• ๋ธŒ๋ผ์šฐ์ €์—์„œ๋„ ์ •์ƒ์ ์œผ๋กœ ์‹คํ–‰๋˜๋„๋ก ๋ณ€ํ™˜ํ•ด์ฃผ๋Š” ๋„๊ตฌ๋‹ค.2. Babel์ด ํ•„์š”ํ•œ ์ด์œ ์ž๋ฐ”์Šคํฌ๋ฆฝํŠธ๋Š” ๊พธ์ค€ํžˆ ๋ฐœ์ „ํ•˜๋ฉฐ ์ƒˆ๋กœ์šด ๋ฌธ๋ฒ•(์˜ˆ: let, const, async/await, ํ™”์‚ดํ‘œ ํ•จ์ˆ˜ ๋“ฑ)์ด ์ถ”๊ฐ€๋จ. ํ•˜์ง€๋งŒ ๊ตฌํ˜• ๋ธŒ๋ผ์šฐ์ €๋Š” ์ตœ์‹  ๋ฌธ๋ฒ•์„ ์ง€์›ํ•˜์ง€ ์•Š์Œ. ์ด ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•ด Babel์ด ํ•„์š”ํ•จ.Babel์˜ ์ฃผ์š” ์—ญํ• :โœ… ์ตœ์‹  ์ž๋ฐ”์Šคํฌ๋ฆฝํŠธ ๋ฌธ๋ฒ•์„ ๊ตฌํ˜• ๋ธŒ๋ผ์šฐ์ €์—์„œ๋„ ๋™์ž‘ ๊ฐ€๋Šฅํ•˜๋„๋ก ๋ณ€ํ™˜โœ… JSX(React์—์„œ ์‚ฌ์šฉ) ๋ฐ TypeScript ์ฝ”๋“œ๋„ ๋ณ€ํ™˜ ๊ฐ€๋Šฅโœ… ์ฝ”๋“œ ์ตœ์ ํ™” ๋ฐ ํ”Œ๋Ÿฌ๊ทธ์ธ ํ™•์žฅ์„ ํ†ตํ•œ ๊ฐœ๋ฐœ ํ™˜๊ฒฝ ๊ฐœ์„ 3. Babel์˜ ํ•ต์‹ฌ ๊ฐœ๋…(1) ํŠธ๋žœ์ŠคํŒŒ์ผ๋ง(T..

[WebDev][Webpack] Webpack ์†Œ๊ฐœ: ํ˜„๋Œ€์ ์ธ ์ž๋ฐ”์Šคํฌ๋ฆฝํŠธ ๋ฒˆ๋“ค๋Ÿฌ

1. Webpack์ด๋ž€?Webpack์€ ์ž๋ฐ”์Šคํฌ๋ฆฝํŠธ ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์˜ ๋ชจ๋“ˆ ๋ฒˆ๋“ค๋Ÿฌ(module bundler)๋‹ค. ์›น ๊ฐœ๋ฐœ์—์„œ ์—ฌ๋Ÿฌ ๊ฐœ์˜ ์ž๋ฐ”์Šคํฌ๋ฆฝํŠธ, CSS, ์ด๋ฏธ์ง€ ๋“ฑ์„ ํ•˜๋‚˜์˜ ๋ฒˆ๋“ค ํŒŒ์ผ๋กœ ๋ฌถ์–ด์ฃผ๋Š” ์—ญํ• ์„ ํ•œ๋‹ค.2. Webpack์ด ํ•„์š”ํ•œ ์ด์œ ์›น ๊ฐœ๋ฐœ์ด ์ ์  ๋ณต์žกํ•ด์ง€๋ฉด์„œ ๋‹ค์–‘ํ•œ ํŒŒ์ผ๊ณผ ๋ชจ๋“ˆ์„ ํšจ์œจ์ ์œผ๋กœ ๊ด€๋ฆฌํ•ด์•ผ ํ•˜๋Š” ํ•„์š”์„ฑ์ด ์ƒ๊น€. Webpack์„ ์‚ฌ์šฉํ•˜๋ฉด ๋‹ค์Œ๊ณผ ๊ฐ™์€ ์žฅ์ ์ด ์žˆ์Œ.๋ชจ๋“ˆํ™” ์ง€์›: ES6+ ๋ชจ๋“ˆ, CommonJS, AMD ๋“ฑ์˜ ๋‹ค์–‘ํ•œ ๋ชจ๋“ˆ ์‹œ์Šคํ…œ์„ ์ง€์›ํ•จํŒŒ์ผ ํฌ๊ธฐ ์ตœ์ ํ™”: ์ฝ”๋“œ ์••์ถ•, ํŠธ๋ฆฌ ์‰์ดํ‚น(Tree Shaking) ๋“ฑ์„ ํ†ตํ•ด ์ตœ์ ํ™” ๊ฐ€๋Šฅ๊ฐœ๋ฐœ ์ƒ์‚ฐ์„ฑ ํ–ฅ์ƒ: HMR(Hot Module Replacement) ๊ธฐ๋Šฅ์œผ๋กœ ์ฝ”๋“œ ๋ณ€๊ฒฝ ์‹œ ๋น ๋ฅด๊ฒŒ ๋ฐ˜์˜๋จ์ž์› ๊ด€๋ฆฌ: CSS, ์ด๋ฏธ์ง€, ํฐํŠธ ๋“ฑ๋„ ๋ชจ..

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