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EasyOCR 1.7.2 compatible with PyTorch 2.0+ and modern Pillow version #1460

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EasyOCR 1.7.2 compatible with PyTorch 2.0+ and modern Pillow version #1460

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b22ef45
Update utils.py
romjeromealt Aug 11, 2026
257d246
downgrade args on function
romjeromealt Aug 11, 2026
d4de0f7
downgrade detection.py
romjeromealt Aug 11, 2026
8c2851f
Update easyocr.py
romjeromealt Aug 11, 2026
1de7682
bidi support for old versions
romjeromealt Aug 12, 2026
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2 changes: 1 addition & 1 deletion easyocr/detection.py
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Original file line number Diff line number Diff line change
Expand Up @@ -75,7 +75,7 @@ def get_detector(trained_model, device='cpu', quantize=True, cudnn_benchmark=Fal
net = CRAFT()

if device == 'cpu':
net.load_state_dict(copyStateDict(torch.load(trained_model, map_location=device, weights_only=False)))
net.load_state_dict(copyStateDict(torch.load(trained_model, map_location=device)))
if quantize:
try:
torch.quantization.quantize_dynamic(net, dtype=torch.qint8, inplace=True)
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6 changes: 3 additions & 3 deletions easyocr/easyocr.py
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Expand Up @@ -6,7 +6,7 @@
make_rotated_img_list, set_result_with_confidence,\
reformat_input_batched, merge_to_free
from .config import *
from bidi import get_display
from bidi.algorithm import get_display
import numpy as np
import cv2
import torch
Expand Down Expand Up @@ -72,8 +72,8 @@ def __init__(self, lang_list, gpu=True, model_storage_directory=None,
elif gpu is True:
if torch.cuda.is_available():
self.device = 'cuda'
elif torch.backends.mps.is_available():
self.device = 'mps'
#elif torch.backends.mps.is_available():
#self.device = 'mps'
else:
self.device = 'cpu'
if verbose:
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2 changes: 1 addition & 1 deletion easyocr/recognition.py
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Expand Up @@ -166,7 +166,7 @@ def get_recognizer(recog_network, network_params, character,\
model = model_pkg.Model(num_class=num_class, **network_params)

if device == 'cpu':
state_dict = torch.load(model_path, map_location=device, weights_only=False)
state_dict = torch.load(model_path, map_location=device)
new_state_dict = OrderedDict()
for key, value in state_dict.items():
new_key = key[7:]
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8 changes: 6 additions & 2 deletions easyocr/utils.py
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Expand Up @@ -6,6 +6,10 @@
import math
import cv2
from PIL import Image, JpegImagePlugin
try:
from PIL import get_display
except ImportError:
get_display = None
from scipy import ndimage
import hashlib
import sys, os
Expand Down Expand Up @@ -571,9 +575,9 @@ def compute_ratio_and_resize(img,width,height,model_height):
ratio = width/height
if ratio<1.0:
ratio = calculate_ratio(width,height)
img = cv2.resize(img,(model_height,int(model_height*ratio)), interpolation=Image.Resampling.LANCZOS)
img = cv2.resize(img,(model_height,int(model_height*ratio)), interpolation=Image.LANCZOS)
else:
img = cv2.resize(img,(int(model_height*ratio),model_height),interpolation=Image.Resampling.LANCZOS)
img = cv2.resize(img,(int(model_height*ratio),model_height),interpolation=Image.LANCZOS)
return img,ratio


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