التحدث بالعربية

python
from PIL import Image

# Load the uploaded image
image_path = "/mnt/data/photo_1_2025-02-04_21-12-09.jpg"
image = Image.open(image_path)

# Display the original image before making changes
image.show()

python
import cv2
import numpy as np
from rembg import remove

# Load the image
image = cv2.imread(image_path)

# Remove the background
image_no_bg = remove(image)

# Convert the image back to an OpenCV format
image_no_bg_cv = cv2.imdecode(np.frombuffer(image_no_bg, np.uint8), cv2.IMREAD_UNCHANGED)

# Create a new background (e.g., a gradient or solid color)
new_bg = np.full_like(image_no_bg_cv, (255, 255, 255, 255))  # White background

# Combine the image with the new background
final_image = np.where(image_no_bg_cv[:, :, 3:] > 0, image_no_bg_cv, new_bg)

# Save the final result
output_path = "/mnt/data/photo_processed.png"
cv2.imwrite(output_path, final_image)

# Display the processed image
output_path

python
import matplotlib.pyplot as plt

# Convert image to grayscale
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

# Apply threshold to segment the object
_, mask = cv2.threshold(gray, 200, 255, cv2.THRESH_BINARY_INV)

# Invert mask to extract object
mask_inv = cv2.bitwise_not(mask)

# Create a new background (e.g., a gradient or solid color)
background = np.full_like(image, (255, 255, 255))  # White background

# Apply mask to extract the foreground
fg = cv2.bitwise_and(image, image, mask=mask_inv)

# Apply mask to extract background
bg = cv2.bitwise_and(background, background, mask=mask)

# Combine foreground and new background
result = cv2.add(fg, bg)

# Save the final result
output_path_updated = "/mnt/data/photo_updated.png"
cv2.imwrite(output_path_updated, result)

# Display the processed image
plt.imshow(cv2.cvtColor(result, cv2.COLOR_BGR2RGB))
plt.axis("off")
plt.show()

# Provide the link to the user
output_path_updated

python
# Re-load the image using PIL
image = Image.open(image_path)

# Convert the image to RGB mode if not already
if image.mode != "RGB":
    image = image.convert("RGB")

# Create a plain white background
new_background = Image.new("RGB", image.size, (255, 255, 255))

# Paste the original image onto the new background
new_background.paste(image, (0, 0), image if image.mode == "RGBA" else None)

# Save the new image
output_image_path = "/mnt/data/photo_new_background.jpg"
new_background.save(output_image_path)

# Display the updated image
new_background.show()

# Provide the updated image path
output_image_path

python
from PIL import Image, ImageDraw, ImageFont

# تحميل الصورة الأصلية
input_image_path = "/mnt/data/3f0701fb-6e46-4f04-afae-8e278a1c003a.jpeg"
background_image_path = "/mnt/data/pyramids_background.jpg"  # صورة للأهرامات
output_image_path = "/mnt/data/edited_image.jpg"

# فتح الصور
person_image = Image.open(input_image_path).convert("RGBA")
background_image = Image.open(background_image_path).convert("RGBA")

# تغيير حجم الصورة الخلفية لجعلها متوافقة مع حجم الصورة الأمامية
background_image = background_image.resize(person_image.size)

# دمج الصور
combined = Image.alpha_composite(background_image, person_image)

# إضافة النص "MYEGY BEST"
draw = ImageDraw.Draw(combined)
font = ImageFont.load_default()
text = "MYEGY BEST"
text_position = (50, 50)
text_color = (255, 255, 255)  # لون أبيض

draw.text(text_position, text, font=font, fill=text_color)

# حفظ الصورة المعدلة
combined.save(output_image_path)

# عرض الصورة المعدلة
output_image_path