async def imgscan(event):
ok = await event.get_reply_message()
if not (ok and (ok.media)):
await event.eor("`Reply The pdf u Want to Download..`")
return
ultt = await ok.download_media()
if not ultt.endswith(("png", "jpg", "jpeg", "webp")):
await event.eor("`Reply to a Image only...`")
os.remove(ultt)
return
xx = await event.eor(get_string("com_1"))
image = cv2.imread(ultt)
original_image = image.copy()
ratio = image.shape[0] / 500.0
hi, wid = image.shape[:2]
ra = 500 / float(hi)
dmes = (int(wid * ra), 500)
image = cv2.resize(image, dmes, interpolation=cv2.INTER_AREA)
image_yuv = cv2.cvtColor(image, cv2.COLOR_BGR2YUV)
image_y = np.zeros(image_yuv.shape[:2], np.uint8)
image_y[:, :] = image_yuv[:, :, 0]
image_blurred = cv2.GaussianBlur(image_y, (3, 3), 0)
edges = cv2.Canny(image_blurred, 50, 200, apertureSize=3)
contours, hierarchy = cv2.findContours(
edges,
cv2.RETR_EXTERNAL,
cv2.CHAIN_APPROX_SIMPLE,
)
polygons = []
for cnt in contours:
hull = cv2.convexHull(cnt)
polygons.append(
cv2.approxPolyDP(hull, 0.01 * cv2.arcLength(hull, True), False))
sortedPoly = sorted(polygons, key=cv2.contourArea, reverse=True)
cv2.drawContours(image, sortedPoly[0], -1, (0, 0, 255), 5)
simplified_cnt = sortedPoly[0]
if len(simplified_cnt) == 4:
cropped_image = four_point_transform(
original_image,
simplified_cnt.reshape(4, 2) * ratio,
)
gray_image = cv2.cvtColor(cropped_image, cv2.COLOR_BGR2GRAY)
T = threshold_local(gray_image, 11, offset=10, method="gaussian")
ok = (gray_image > T).astype("uint8") * 255
if len(simplified_cnt) != 4:
ok = cv2.detailEnhance(original_image, sigma_s=10, sigma_r=0.15)
cv2.imwrite("o.png", ok)
image1 = Image.open("o.png")
im1 = image1.convert("RGB")
scann = f"Scanned {ultt.split('.')[0]}.pdf"
im1.save(scann)
await event.client.send_file(event.chat_id,
scann,
reply_to=event.reply_to_msg_id)
await xx.delete()
os.remove(ultt)
os.remove("o.png")
os.remove(scann)
async def savepdf(event):
ok = await event.get_reply_message()
if not (ok and (ok.media)):
await eor(
event,
"`Reply to Images/pdf which u want to merge as a single pdf..`",
)
return
ultt = await ok.download_media()
if ultt.endswith(("png", "jpg", "jpeg", "webp")):
xx = await event.eor(get_string("com_1"))
image = cv2.imread(ultt)
original_image = image.copy()
ratio = image.shape[0] / 500.0
h_, _v = image.shape[:2]
m_ = 500 / float(h_)
image = cv2.resize(image, (int(_v * m_), 500),
interpolation=cv2.INTER_AREA)
image_yuv = cv2.cvtColor(image, cv2.COLOR_BGR2YUV)
image_y = np.zeros(image_yuv.shape[:2], np.uint8)
image_y[:, :] = image_yuv[:, :, 0]
image_blurred = cv2.GaussianBlur(image_y, (3, 3), 0)
edges = cv2.Canny(image_blurred, 50, 200, apertureSize=3)
contours, hierarchy = cv2.findContours(
edges,
cv2.RETR_EXTERNAL,
cv2.CHAIN_APPROX_SIMPLE,
)
polygons = []
for cnt in contours:
hull = cv2.convexHull(cnt)
polygons.append(
cv2.approxPolyDP(hull, 0.01 * cv2.arcLength(hull, True),
False), )
sortedPoly = sorted(polygons, key=cv2.contourArea, reverse=True)
cv2.drawContours(image, sortedPoly[0], -1, (0, 0, 255), 5)
simplified_cnt = sortedPoly[0]
if len(simplified_cnt) == 4:
cropped_image = four_point_transform(
original_image,
simplified_cnt.reshape(4, 2) * ratio,
)
gray_image = cv2.cvtColor(cropped_image, cv2.COLOR_BGR2GRAY)
T = threshold_local(gray_image, 11, offset=10, method="gaussian")
ok = (gray_image > T).astype("uint8") * 255
if len(simplified_cnt) != 4:
ok = cv2.detailEnhance(original_image, sigma_s=10, sigma_r=0.15)
cv2.imwrite("o.png", ok)
image1 = Image.open("o.png")
im1 = image1.convert("RGB")
a = check_filename("pdf/scan.pdf")
im1.save(a)
await xx.edit(
f"Done, Now Reply Another Image/pdf if completed then use {HNDLR}pdsend to merge nd send all as pdf",
)
os.remove("o.png")
elif ultt.endswith(".pdf"):
a = check_filename("pdf/scan.pdf")
await event.client.download_media(ok, a)
await eor(
event,
f"Done, Now Reply Another Image/pdf if completed then use {HNDLR}pdsend to merge nd send all as pdf",
)
else:
await event.eor("`Reply to a Image/pdf only...`")
os.remove(ultt)