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Update ocr_google_lens.py #689

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merged 2 commits into from
Dec 20, 2024
Merged

Update ocr_google_lens.py #689

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4d36ad4
Update ocr_google_lens.py
bropines Dec 20, 2024
5d9d49c
Merge branch 'dmMaze:dev' into dev
bropines Dec 20, 2024
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10 changes: 8 additions & 2 deletions modules/ocr/ocr_google_lens.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2,6 +2,8 @@
import numpy as np
import time
import cv2
import random
import string
from typing import List

import httpx
Expand All @@ -19,13 +21,14 @@ class LensCore:
'image/x-icon', 'image/bmp', 'image/jpeg',
'image/png', 'image/tiff', 'image/webp', 'image/heic'
]
# https://github.com/AuroraWright/owocr/blob/master/owocr/ocr.py
HEADERS = {
'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7',
'Accept-Encoding': 'gzip, deflate, br',
'Accept-Language': 'en-US,en;q=0.9',
'Origin': 'https://lens.google.com',
'Referer': 'https://lens.google.com/',
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36',
'User-Agent': 'Mozilla/5.0 (SMART-TV; Linux; Tizen 6.0) AppleWebKit/538.1 (KHTML, like Gecko) Version/6.0 TV Safari/538.1 STvPlus/9e6462f14a056031e5b32ece2af7c3ca,gzip(gfe),gzip(gfe)'
}

def __init__(self, proxy=None):
Expand All @@ -36,6 +39,8 @@ def _send_request(self, url, headers, files):
try:
client = httpx.Client(proxies=self.proxy) if self.proxy else httpx.Client()
response = client.post(url, headers=headers, files=files)
if response.status_code == 303:
raise Exception("Error 303: See Other. Potential misconfiguration in headers or file upload.")
if response.status_code != 200:
raise Exception(f"Failed to upload image. Status code: {response.status_code}")
return response
Expand All @@ -44,8 +49,9 @@ def _send_request(self, url, headers, files):

def scan_by_data(self, data, mime, dimensions):
headers = self.HEADERS.copy()
random_filename = ''.join(random.choices(string.ascii_letters, k=8)) + '.jpg'
files = {
'encoded_image': ('image.jpg', data, mime),
'encoded_image': (random_filename, data, mime),
'original_width': (None, str(dimensions[0])),
'original_height': (None, str(dimensions[1])),
'processed_image_dimensions': (None, f"{dimensions[0]},{dimensions[1]}")
Expand Down