Распознать текст и выдать в ворд

python
from PIL import Image
for fn in ['/mnt/data/IMG_0960.jpeg','/mnt/data/IMG_0961.jpeg','/mnt/data/IMG_0962.jpeg']:
    img=Image.open(fn)
    print(fn, img.size)

python
from PIL import Image, ImageEnhance, ImageFilter
import os, math

for fn in ['/mnt/data/IMG_0960.jpeg','/mnt/data/IMG_0961.jpeg','/mnt/data/IMG_0962.jpeg']:
    img=Image.open(fn)
    # enlarge 2x
    img2=img.resize((img.width*2,img.height*2), Image.Resampling.LANCZOS)
    img2 = img2.filter(ImageFilter.SHARPEN)
    base=os.path.splitext(os.path.basename(fn))[0]
    out=f'/mnt/data/{base}_2x.png'
    img2.save(out)
    print(out)
    # split vertically into thirds
    h=img2.height
    for i in range(3):
        crop=img2.crop((0, i*h//3, img2.width, (i+1)*h//3))
        crop.save(f'/mnt/data/{base}_part{i+1}.png

python
from PIL import Image, ImageEnhance, ImageFilter
import os, math

for fn in ['/mnt/data/IMG_0960.jpeg','/mnt/data/IMG_0961.jpeg','/mnt/data/IMG_0962.jpeg']:
    img=Image.open(fn)
    # enlarge 2x
    img2=img.resize((img.width*2,img.height*2), Image.Resampling.LANCZOS)
    img2 = img2.filter(ImageFilter.SHARPEN)
    base=os.path.splitext(os.path.basename(fn))[0]
    out=f'/mnt/data/{base}_2x.png'
    img2.save(out)
    print(out)
    # split vertically into thirds
    h=img2.height
    for i in range(3):
        crop=img2.crop((0, i*h//3, img2.width, (i+1)*h//3))
        crop.save(f'/mnt/data/{base}_part{i+1}.png

<<ImageDisplayed>>

python
from PIL import Image, ImageEnhance, ImageFilter
import os, math

for fn in ['/mnt/data/IMG_0960.jpeg','/mnt/data/IMG_0961.jpeg','/mnt/data/IMG_0962.jpeg']:
    img=Image.open(fn)
    # enlarge 2x
    img2=img.resize((img.width*2,img.height*2), Image.Resampling.LANCZOS)
    img2 = img2.filter(ImageFilter.SHARPEN)
    base=os.path.splitext(os.path.basename(fn))[0]
    out=f'/mnt/data/{base}_2x.png'
    img2.save(out)
    print(out)
    # split vertically into thirds
    h=img2.height
    for i in range(3):
        crop=img2.crop((0, i*h//3, img2.width, (i+1)*h//3))
        crop.save(f'/mnt/data/{base}_part{i+1}.png

<<ImageDisplayed>>



<<ImageDisplayed>>

python
from PIL import Image, ImageEnhance, ImageFilter
import os, math

for fn in ['/mnt/data/IMG_0960.jpeg','/mnt/data/IMG_0961.jpeg','/mnt/data/IMG_0962.jpeg']:
    img=Image.open(fn)
    # enlarge 2x
    img2=img.resize((img.width*2,img.height*2), Image.Resampling.LANCZOS)
    img2 = img2.filter(ImageFilter.SHARPEN)
    base=os.path.splitext(os.path.basename(fn))[0]
    out=f'/mnt/data/{base}_2x.png'
    img2.save(out)
    print(out)
    # split vertically into thirds
    h=img2.height
    for i in range(3):
        crop=img2.crop((0, i*h//3, img2.width, (i+1)*h//3))
        crop.save(f'/mnt/data/{base}_part{i+1}.png

<<ImageDisplayed>>



<<ImageDisplayed>>



<<ImageDisplayed>>

python
import cv2, numpy as np, os, math
from PIL import Image

def order_points(pts):
    rect = np.zeros((4,2), dtype="float32")
    s = pts.sum(axis=1)
    rect[0] = pts[np.argmin(s)]
    rect[2] = pts[np.argmax(s)]
    diff = np.diff(pts, axis=1)
    rect[1] = pts[np.argmin(diff)]
    rect[3] = pts[np.argmax(diff)]
    return rect

def four_point_transform(image, pts):
    rect = order_points(pts)
    (tl, tr, br, bl) = rect
    widthA = np.linalg.norm(br - bl)
    widthB = np.linalg.norm(tr - tl)
    maxWidth = max(int(widthA), int(widthB))
    heightA = np.linalg.norm(tr - br)
    heightB = np.linalg.norm(tl - bl)

python
from PIL import Image, ImageFilter, ImageEnhance, ImageOps
crops = {
    'IMG_0962': (140,110,640,910),
    'IMG_0961': (140,150,650,930),
    'IMG_0960': (150,160,650,930),
}
for base, box in crops.items():
    img=Image.open(f'/mnt/data/{base}.jpeg').crop(box)
    img=img.resize((img.width*3, img.height*3), Image.Resampling.LANCZOS)
    gray=ImageOps.grayscale(img)
    gray=ImageEnhance.Contrast(gray).enhance(1.8)
    gray=gray.filter(ImageFilter.SHARPEN)
    out=f'/mnt/data/{base}_crop.png'
    gray.save(out)
    print(out, gray.size)

python
from PIL import Image, ImageFilter, ImageEnhance, ImageOps
crops = {
    'IMG_0962': (140,110,640,910),
    'IMG_0961': (140,150,650,930),
    'IMG_0960': (150,160,650,930),
}
for base, box in crops.items():
    img=Image.open(f'/mnt/data/{base}.jpeg').crop(box)
    img=img.resize((img.width*3, img.height*3), Image.Resampling.LANCZOS)
    gray=ImageOps.grayscale(img)
    gray=ImageEnhance.Contrast(gray).enhance(1.8)
    gray=gray.filter(ImageFilter.SHARPEN)
    out=f'/mnt/data/{base}_crop.png'
    gray.save(out)
    print(out, gray.size)


<<ImageDisplayed>>