update v.1.7.2

Author: rkcosmos

README.md

@@ -14,22 +14,8 @@ Integrated into [Huggingface Spaces 🤗](https://huggingface.co/spaces) using [
 
 
 ## What's new
-- 4 September 2023 - Version 1.7.1
+- 24 September 2024 - Version 1.7.2
     - Fix several compatibilities
-- 25 May 2023 - Version 1.7.0
-    - Add Apple Silicon support (thanks[@rayeesoft](https://github.com/rayeesoft) and [@ArtemBernatskyy](https://github.com/ArtemBernatskyy), see [PR](https://github.com/JaidedAI/EasyOCR/pull/1004))
-    - Fix several compatibilities
-- 15 September 2022 - Version 1.6.2
-    - Add CPU support for DBnet
-    - DBnet will only be compiled when users initialize DBnet detector.  
-- 1 September 2022 - Version 1.6.1
-    - Fix DBnet path bug for Windows
-    - Add new built-in model `cyrillic_g2`. This model is a new default for Cyrillic script.
-- 24 August 2022 - Version 1.6.0
-    - Restructure code to support alternative text detectors.
-    - Add detector `DBnet`, see [paper](https://arxiv.org/abs/2202.10304v1). It can be used by initializing like this `reader = easyocr.Reader(['en'], detect_network = 'dbnet18')`.
-- 2 June 2022 - Version 1.5.0
-    - Add trainer for CRAFT detection model (thanks[@gmuffiness](https://github.com/gmuffiness), see [PR](https://github.com/JaidedAI/EasyOCR/pull/739))
 
 - [Read all release notes](https://github.com/JaidedAI/EasyOCR/blob/master/releasenotes.md)
 

easyocr/__init__.py

@@ -1,3 +1,3 @@
 from .easyocr import Reader
 
-__version__ = '1.7.1'
+__version__ = '1.7.2'

easyocr/detection.py

@@ -75,14 +75,14 @@ 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)))
+        net.load_state_dict(copyStateDict(torch.load(trained_model, map_location=device, weights_only=False)))
         if quantize:
             try:
                 torch.quantization.quantize_dynamic(net, dtype=torch.qint8, inplace=True)
             except:
                 pass
     else:
-        net.load_state_dict(copyStateDict(torch.load(trained_model, map_location=device)))
+        net.load_state_dict(copyStateDict(torch.load(trained_model, map_location=device, weights_only=False)))
         net = torch.nn.DataParallel(net).to(device)
         cudnn.benchmark = cudnn_benchmark
 

easyocr/recognition.py

@@ -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)
+        state_dict = torch.load(model_path, map_location=device, weights_only=False)
         new_state_dict = OrderedDict()
         for key, value in state_dict.items():
             new_key = key[7:]
@@ -179,7 +179,7 @@ def get_recognizer(recog_network, network_params, character,\
                 pass
     else:
         model = torch.nn.DataParallel(model).to(device)
-        model.load_state_dict(torch.load(model_path, map_location=device))
+        model.load_state_dict(torch.load(model_path, map_location=device, weights_only=False))
 
     return model, converter
 

releasenotes.md

@@ -1,3 +1,5 @@
+- 24 September 2024 - Version 1.7.2
+    - Fix several compatibilities
 - 4 September 2023 - Version 1.7.1
     - Fix several compatibilities
 - 25 May 2023 - Version 1.7.0

setup.py

@@ -16,7 +16,7 @@ def readme():
     name='easyocr',
     packages=['easyocr'],
     include_package_data=True,
-    version='1.7.1',
+    version='1.7.2',
     install_requires=requirements,
     entry_points={"console_scripts": ["easyocr= easyocr.cli:main"]},
     license='Apache License 2.0',