קורס יסודות בינה מלאוכתית – RB23-10

מחבר:admin
פורסם:יולי 14, 2024
קטגוריה:רובוטרוניקס כללי
תגובות:אין תגובות

קורס יסודות בינה מלאוכתית – RB23-10

אימון בינה מלאכותית – זיהוי אובייקטים

תרגיל כיתה 1

יש לעבוד לפי הסרטון שלב אחרי שלב .
הסרטון הוא המשך של הרצאה RB23-09 RB23-08 שם מוספר שלב אחרי שלב של התקנת הסביבה פיתוח , תוספים

תרגיל כיתה 2

אימון רשת זיהוי טנק

https://colab.research.google.com/gist/RoboWild/19deff31306d95d2e315a9e1d331f156/yolo-train.ipynb

%pip install ultralytics
import ultralytics
ultralytics.checks()
!pip install opencv-python-headless
print (" **** done **** ")

%pip install ultralytics

import ultralytics

ultralytics.checks()

!pip install opencv-python-headless

print (" **** done **** ")

!touch data.yaml
# Open a new file called data.yaml in write mode
with open('data.yaml', 'w') as file:
    # Write the specified content to the file
    file.write("""
train: /content/tanks/train
val: /content/tanks/val

nc: 4

names: ["tank", "car", "APC", "truck"]
""")

# Verify the content of the data.yaml file
with open('data.yaml', 'r') as file:
    print(file.read())

!touch data.yaml

# Open a new file called data.yaml in write mode

with open('data.yaml', 'w') as file:

# Write the specified content to the file

file.write("""

train: /content/tanks/train

val: /content/tanks/val

nc: 4

names: ["tank", "car", "APC", "truck"]

""")

# Verify the content of the data.yaml file

with open('data.yaml', 'r') as file:

print(file.read())

!apt-get install -y unrar

1	!apt-get install -y unrar

import os

from google.colab import files

# Upload the rar file
uploaded = files.upload()
# List the uploaded files
uploaded_files = list(uploaded.keys())
print(f'Uploaded files: {uploaded_files}')

# Assuming the rar file is the first (and only) uploaded file
rar_file = uploaded_files[0]

# Create a directory to extract the rar file
extract_dir = rar_file.replace('.rar', '')
os.makedirs(extract_dir, exist_ok=True)

# Extract the rar file
!unrar x {rar_file} {extract_dir}

# List the contents of the extracted directory
print(f'Contents of the extracted directory ({extract_dir}):')
print(os.listdir(extract_dir))

import os

from google.colab import files

# Upload the rar file

uploaded = files.upload()

# List the uploaded files

uploaded_files = list(uploaded.keys())

print(f'Uploaded files: {uploaded_files}')

# Assuming the rar file is the first (and only) uploaded file

rar_file = uploaded_files[0]

# Create a directory to extract the rar file

extract_dir = rar_file.replace('.rar', '')

os.makedirs(extract_dir, exist_ok=True)

# Extract the rar file

!unrar x {rar_file} {extract_dir}

# List the contents of the extracted directory

print(f'Contents of the extracted directory ({extract_dir}):')

print(os.listdir(extract_dir))

from ultralytics import YOLO
import ultralytics
print(ultralytics.__version__)

model=YOLO("yolov8m.pt")

from ultralytics import YOLO

import ultralytics

print(ultralytics.__version__)

model=YOLO("yolov8m.pt")

# train the a.i model to detect tanks

model.train(data="/content/data.yaml",batch=16, epochs=10)

# train the a.i model to detect tanks

model.train(data="/content/data.yaml",batch=16, epochs=10)

pre=YOLO("/content/runs/detect/train3/weights/best.pt")

1	pre=YOLO("/content/runs/detect/train3/weights/best.pt")

pre.predict("/content/tanks/val/images/tanks-dessert-79.jpg",save=True, conf=0.3)

1	pre.predict("/content/tanks/val/images/tanks-dessert-79.jpg",save=True, conf=0.3)

אימון בינה מלאכותית – זיהוי אובייקטים

אולי תאהב/י גם

חיבור גלגלי שיניים לציר SHAFT

רובוטיקס בלוקס – קורס RB10 – שיעור 2

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