Forwarded from I am AYTIshnik 👨💻
Bu rasmlarni nima bog'lab turadi?
February 2, 2024
💻 Inson mehnati AI dan ko'ra arzon (hozircha).
MIT universitetining tadqiqotlariga qaraganda. Inson sun'iy intellekt robotlariga qaraganda 2 baravar arzon ishchi kuchi hisoblanadi. Buning ustiga insonlar o'z vazifasidan tashqari ishlarni ham bajarishadi...
Ammo tadqiqotlar bu uzoq davom etmasligi va yaqin yillarda robotlar arzon ishchi kuchiga aylanishini ko'rsatmoqda.
MIT universitetining tadqiqotlariga qaraganda. Inson sun'iy intellekt robotlariga qaraganda 2 baravar arzon ishchi kuchi hisoblanadi. Buning ustiga insonlar o'z vazifasidan tashqari ishlarni ham bajarishadi...
Ammo tadqiqotlar bu uzoq davom etmasligi va yaqin yillarda robotlar arzon ishchi kuchiga aylanishini ko'rsatmoqda.
February 5, 2024
Forwarded from Algorithmic School IT Center Samarkand
Hozirga qadar kompyuterlar uchun eng ko'p foydalanilgan operatsion tizim qaysi?
Какая операционная система для компьютеров на данный момент является наиболее используемой?
Какая операционная система для компьютеров на данный момент является наиболее используемой?
Anonymous Quiz
7%
Mac OS
13%
Linux
78%
Windows
2%
Chrome OS
February 7, 2024
February 19, 2024
February 21, 2024
🏆 Diqqat Musobaqa 🏆
Pythonchilar diqqatiga. O'z bilimlaringizni sinab ko'ring!
🤖 RoboContest Round #87 div3 va 🤖 RoboContest Round #88 div2
📊 Div3 - reytingi [1000,1500] oralig'idagi ishtirokchilar uchun rated
📊 Div2 - reytingi [1501, ∞] oralig'idagi ishtirokchilar uchun rated
Agar reyting mos kelmasa unrated qatnashish imkoni mavjud, ya'ni reyting berilmaydi/
📆Contest boshlanish vaqti: 05.03.2024 19:30
📆Contest tugash vaqti: 05.03.2024 21:30
⏰Contest davomiyligi: 2 soat
👨🏫 Muallif: Sardor Salimov
💬Agar savollar bo’lsa @robocontest_chat ga murojaat qiling.
🤖🤖🤖🤖🤖
@robocontest
#contest #rated
(Savollar o'zbekcha va ruscha tillarda bo'ladi)
Pythonchilar diqqatiga. O'z bilimlaringizni sinab ko'ring!
🤖 RoboContest Round #87 div3 va 🤖 RoboContest Round #88 div2
📊 Div3 - reytingi [1000,1500] oralig'idagi ishtirokchilar uchun rated
📊 Div2 - reytingi [1501, ∞] oralig'idagi ishtirokchilar uchun rated
Agar reyting mos kelmasa unrated qatnashish imkoni mavjud, ya'ni reyting berilmaydi/
📆Contest boshlanish vaqti: 05.03.2024 19:30
📆Contest tugash vaqti: 05.03.2024 21:30
⏰Contest davomiyligi: 2 soat
👨🏫 Muallif: Sardor Salimov
💬Agar savollar bo’lsa @robocontest_chat ga murojaat qiling.
🤖🤖🤖🤖🤖
@robocontest
#contest #rated
(Savollar o'zbekcha va ruscha tillarda bo'ladi)
March 2, 2024
Forwarded from Algo Vision
Rasm yoki freymdan malum predmet obekt ni joylashuvni olamiz.
Bu ham juda oson 5-6 qatorda bajariladi.
Bu ham juda oson 5-6 qatorda bajariladi.
from ultralytics import YOLO
model = YOLO("yolov8s.pt")
ans = model.predict(source= ".../person.jpeg", show = True, imgsz = 320, conf = 0.7)
#yolov8s bir nechta turdagi obektlarni detection qila oladi
for obj in ans:
box = obj.boxes
print(box)
March 7, 2024
Forwarded from Algo Vision
Algo Vision
Rasm yoki freymdan malum predmet obekt ni joylashuvni olamiz. Bu ham juda oson 5-6 qatorda bajariladi. from ultralytics import YOLO model = YOLO("yolov8s.pt") ans = model.predict(source= ".../person.jpeg", show = True, imgsz = 320, conf = 0.7) #yolov8s bir…
Agar natija olib kursak
Shunga uxshagan natija beradi.
Natija siz ishlatayotgan freymworkga bogliq (Pytorch, ....)
Demak birinchi listda sinf (0-bu odam umumiy sinflar
keyin esa conf yane har bitta obektni aniqlash aniqligi ruyxati (rasmda bir nechta obekt buladi)
keyin esa bizga obekt joylashuvi xywh yane yuqori chap burchag koordinatasi va w-uzunlik h-balandlik beriladi.
bundan tashqari biz turtburchak asosida malumotni olishimiz mumkin yuqori chao va pastgi ong xyxy
cls: tensor([0., 0., 0., 0., 0., 0., 0.])
conf: tensor([0.8909, 0.8682, 0.8674, 0.8622, 0.8439, 0.8392, 0.7159])
data: tensor([[1.6254e+02, 2.2389e+01, 2.5266e+02, 1.6701e+02, 8.9091e-01, 0.0000e+00],
[2.3503e+02, 3.1486e+01, 2.9971e+02, 1.6686e+02, 8.6820e-01, 0.0000e+00],
[2.1997e+01, 5.3749e+01, 7.4538e+01, 1.6752e+02, 8.6741e-01, 0.0000e+00],
[1.1284e+02, 3.2849e+01, 1.6784e+02, 1.6768e+02, 8.6221e-01, 0.0000e+00],
[6.3885e+01, 4.3812e+01, 1.1679e+02, 1.6726e+02, 8.4389e-01, 0.0000e+00],
[3.2759e-02, 5.2869e+00, 4.6813e+01, 1.6724e+02, 8.3916e-01, 0.0000e+00],
[1.5617e+02, 1.0563e+01, 1.9749e+02, 9.0878e+01, 7.1594e-01, 0.0000e+00]])
id: None
is_track: False
orig_shape: (168, 300)
shape: torch.Size([7, 6])
xywh: tensor([[207.5979, 94.6973, 90.1146, 144.6161],
[267.3671, 99.1744, 64.6808, 135.3771],
[ 48.2676, 110.6329, 52.5402, 113.7673],
[140.3382, 100.2657, 55.0010, 134.8336],
[ 90.3380, 105.5342, 52.9057, 123.4454],
[ 23.4231, 86.2625, 46.7806, 161.9512],
[176.8280, 50.7202, 41.3200, 80.3153]])
xywhn: tensor([[0.6920, 0.5637, 0.3004, 0.8608],
[0.8912, 0.5903, 0.2156, 0.8058],
[0.1609, 0.6585, 0.1751, 0.6772],
[0.4678, 0.5968, 0.1833, 0.8026],
[0.3011, 0.6282, 0.1764, 0.7348],
[0.0781, 0.5135, 0.1559, 0.9640],
[0.5894, 0.3019, 0.1377, 0.4781]])
xyxy: tensor([[1.6254e+02, 2.2389e+01, 2.5266e+02, 1.6701e+02],
[2.3503e+02, 3.1486e+01, 2.9971e+02, 1.6686e+02],
[2.1997e+01, 5.3749e+01, 7.4538e+01, 1.6752e+02],
[1.1284e+02, 3.2849e+01, 1.6784e+02, 1.6768e+02],
[6.3885e+01, 4.3812e+01, 1.1679e+02, 1.6726e+02],
[3.2759e-02, 5.2869e+00, 4.6813e+01, 1.6724e+02],
[1.5617e+02, 1.0563e+01, 1.9749e+02, 9.0878e+01]])
xyxyn: tensor([[5.4180e-01, 1.3327e-01, 8.4218e-01, 9.9408e-01],
[7.8342e-01, 1.8742e-01, 9.9902e-01, 9.9323e-01],
[7.3325e-02, 3.1994e-01, 2.4846e-01, 9.9712e-01],
[3.7613e-01, 1.9553e-01, 5.5946e-01, 9.9811e-01],
[2.1295e-01, 2.6078e-01, 3.8930e-01, 9.9558e-01],
[1.0920e-04, 3.1470e-02, 1.5604e-01, 9.9546e-01],
[5.2056e-01, 6.2872e-02, 6.5829e-01, 5.4094e-01]])
Shunga uxshagan natija beradi.
Natija siz ishlatayotgan freymworkga bogliq (Pytorch, ....)
Demak birinchi listda sinf (0-bu odam umumiy sinflar
names: {0: 'person', 1: 'bicycle', 2: 'car', 3: 'motorcycle', 4: 'airplane', 5: 'bus', 6: 'train', 7: 'truck', 8: 'boat', 9: 'traffic light', 10: 'fire hydrant', 11: 'stop sign', 12: 'parking meter', 13: 'bench', 14: 'bird', 15: 'cat', 16: 'dog', 17: 'horse', 18: 'sheep', 19: 'cow', 20: 'elephant', 21: 'bear', 22: 'zebra', 23: 'giraffe', 24: 'backpack', 25: 'umbrella', 26: 'handbag', 27: 'tie', 28: 'suitcase', 29: 'frisbee', 30: 'skis', 31: 'snowboard', 32: 'sports ball', 33: 'kite', 34: 'baseball bat', 35: 'baseball glove', 36: 'skateboard', 37: 'surfboard', 38: 'tennis racket', 39: 'bottle', 40: 'wine glass', 41: 'cup', 42: 'fork', 43: 'knife', 44: 'spoon', 45: 'bowl', 46: 'banana', 47: 'apple', 48: 'sandwich', 49: 'orange', 50: 'broccoli', 51: 'carrot', 52: 'hot dog', 53: 'pizza', 54: 'donut', 55: 'cake', 56: 'chair', 57: 'couch', 58: 'potted plant', 59: 'bed', 60: 'dining table', 61: 'toilet', 62: 'tv', 63: 'laptop', 64: 'mouse', 65: 'remote', 66: 'keyboard', 67: 'cell phone', 68: 'microwave', 69: 'oven', 70: 'toaster', 71: 'sink', 72: 'refrigerator', 73: 'book', 74: 'clock', 75: 'vase', 76: 'scissors', 77: 'teddy bear', 78: 'hair drier', 79: 'toothbrush'}
)keyin esa conf yane har bitta obektni aniqlash aniqligi ruyxati (rasmda bir nechta obekt buladi)
keyin esa bizga obekt joylashuvi xywh yane yuqori chap burchag koordinatasi va w-uzunlik h-balandlik beriladi.
bundan tashqari biz turtburchak asosida malumotni olishimiz mumkin yuqori chao va pastgi ong xyxy
March 7, 2024
Forwarded from Algo Vision
Algo Vision
Agar natija olib kursak cls: tensor([0., 0., 0., 0., 0., 0., 0.]) conf: tensor([0.8909, 0.8682, 0.8674, 0.8622, 0.8439, 0.8392, 0.7159]) data: tensor([[1.6254e+02, 2.2389e+01, 2.5266e+02, 1.6701e+02, 8.9091e-01, 0.0000e+00], [2.3503e+02, 3.1486e+01…
Umumiy natija
March 7, 2024
Forwarded from Algorithmic School IT Center Samarkand
IT tanlovlarda 1-o'rin uchun qancha pul mukofoti qo'yiladi?
Ulug'bek vorislari - 10 mln so'mdan ortiq.
Uz data challenge - 50.000$.
President Tech Award - 100.000$.
StartUP loyihalar tanlovi - 500 mln so'mgacha.
Bu tanlovlarda g'olib bo'lish uchun sizda IT loyiha va uning pratatipi bo'lishi kerak.
☎️ +998505004030
👨💻 @Algorithmic_Solutions
📍 Firdavsiy 1 (Infin bank)
Ulug'bek vorislari - 10 mln so'mdan ortiq.
Uz data challenge - 50.000$.
President Tech Award - 100.000$.
StartUP loyihalar tanlovi - 500 mln so'mgacha.
Bu tanlovlarda g'olib bo'lish uchun sizda IT loyiha va uning pratatipi bo'lishi kerak.
☎️ +998505004030
👨💻 @Algorithmic_Solutions
📍 Firdavsiy 1 (Infin bank)
March 9, 2024
March 10, 2024
Bot PYTHON dasturlash tilida yaratilgan!
Ramazon oyida siz va yaqinlaringiz uchun foydali bot.
@PrayingTime_bot
Bot orqali siz namoz vaqtlaridan habar topishingiz mumkin.
Bundan tashqari bot sizga o'g'iz ochish va og'iz yopish vaqtlarini eslatib turadi.
Please open Telegram to view this post
VIEW IN TELEGRAM
March 19, 2024
March 29, 2024
April 12, 2024
April 13, 2024
April 17, 2024
Python dasturlash tili asoschisi kim?
Anonymous Quiz
39%
Jack Python
43%
Guido van Rossum
13%
Python Lounhes
5%
Pysun Thonic
May 17, 2024
Forwarded from Algorithmic School IT Center Samarkand
Windows 10 tizimida sozlamalarga kirish uchun qaysi tugmalar bosiladi?
В системе Windows 10, какие кнопки нужно нажать, чтобы войти в настройки?
В системе Windows 10, какие кнопки нужно нажать, чтобы войти в настройки?
Anonymous Quiz
26%
Win+S
14%
Win+N
23%
Win+I
11%
Win+P
25%
Win+R
August 24, 2024
October 26, 2024
Bir ishlatib ko'ringlarchi.
from pptx import Presentation
from pptx.util import Inches, Pt
# Create a presentation object
prs = Presentation()
# Define slides content
slides_content = [
{"title": "Introduction to Python", "content": "The Versatile Programming Language\nYour Name or Center’s Name"},
{"title": "What is Python?",
"content": "• Python is a high-level, interpreted programming language.\n• Known for its simplicity and readability.\n• Created by Guido van Rossum and first released in 1991."},
{"title": "Key Features of Python",
"content": "• Easy to read and write; syntax is beginner-friendly.\n• Open-source and free to use.\n• Supports multiple programming paradigms (object-oriented, procedural, functional).\n• Extensive standard library and strong community support."},
{"title": "Why Learn Python?",
"content": "• Widely used in web development, data science, AI, automation, and more.\n• High demand in the job market.\n• Large ecosystem with libraries for various tasks.\n• Beginner-friendly, with a fast learning curve."},
{"title": "Python Syntax Basics",
"content": "• Variables and Data Types (int, float, string, list, dictionary)\n• Basic Syntax Example:\nname = 'Python'\nprint('Hello, ' + name)\n• Indentation for defining blocks (no braces or semicolons needed)."},
{"title": "Popular Python Libraries",
"content": "• Data Science: NumPy, pandas, Matplotlib\n• Web Development: Django, Flask\n• Machine Learning & AI: TensorFlow, scikit-learn\n• Automation: Selenium, BeautifulSoup"},
{"title": "Python Applications",
"content": "• Web Development\n• Data Analysis and Visualization\n• Machine Learning and Artificial Intelligence\n• Game Development\n• Scripting and Automation"},
{"title": "Career Opportunities with Python",
"content": "• Python Developer\n• Data Scientist\n• Machine Learning Engineer\n• Web Developer\n• DevOps Engineer"},
{"title": "Resources to Learn Python",
"content": "• Python documentation: https://docs.python.org\n• Online platforms: Codecademy, Coursera, edX, Udacity\n• Books: 'Python Crash Course,' 'Automate the Boring Stuff with Python'"},
{"title": "Summary",
"content": "Why Python is a great language to learn.\nEncouragement to start coding and exploring Python."},
]
# Add slides
for slide_info in slides_content:
slide_layout = prs.slide_layouts[1] # Using the Title and Content layout
slide = prs.slides.add_slide(slide_layout)
title = slide.shapes.title
content = slide.placeholders[1]
# Set title and content for each slide
title.text = slide_info["title"]
content.text = slide_info["content"]
# Save the presentation
pptx_path = "Introduction_to_Python_Presentation.pptx"
prs.save(pptx_path)
print(f"Presentation saved as {pptx_path}")
November 2, 2024