Finishing out fixing size bug

[jamgochiana]

Updating how largest-sized boxes are found given sizes are no longer stored in the rect_list. (Finishing 'fixed size bug' workflow :))

[gowthamgdn]

while executing the above code i am getting lot of error's after solving also. can, anyone help me out

[Karl-FC]

Same here. I've been getting this AttributeError even with the other versions.

This is when I used the above code from the Pull request:

PS D:\Files\Da Documents\Programming\eDOCr> python "D:\Files\Da Documents\Programming\eDOCr\eDOCr\ocr_it.py" "D:\Files\Da Documents\Programming\FINAL-PROJECT.pdf"
2024-09-02 11:14:46.292089: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable TF_ENABLE_ONEDNN_OPTS=0.
2024-09-02 11:14:47.990900: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable TF_ENABLE_ONEDNN_OPTS=0.
Looking for C:\Users\K.keras-ocr\recognizer_infoblock.h5
Looking for C:\Users\K.keras-ocr\recognizer_dimensions.h5
Looking for C:\Users\K.keras-ocr\recognizer_gdts.h5

Traceback (most recent call last):
File "D:\Files\Da Documents\Programming\eDOCr\eDOCr\ocr_it.py", line 85, in
class_list, img_boxes=tools.box_tree.findrect(img)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\K\AppData\Roaming\Python\Python312\site-packages\eDOCr\tools\box_tree.py", line 173, in findrect
class_list.append(rect('rect_'+str(r),x,y,w,h,size,crop_img,'green')) #Get a list with the rect class
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\K\AppData\Roaming\Python\Python312\site-packages\eDOCr\tools\box_tree.py", line 32, in init
self.size = size
^^^^^^^^^
AttributeError: property 'size' of 'rect' object has no setter`

This one is when I used the latest code:

`PS D:\Files\Da Documents\Programming\eDOCr> python "D:\Files\Da Documents\Programming\eDOCr\eDOCr\ocr_it.py" "D:\Files\Da Documents\Programming\FINAL-PROJECT.pdf"

2024-09-02 11:18:58.064950: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable TF_ENABLE_ONEDNN_OPTS=0.
2024-09-02 11:18:59.628041: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable TF_ENABLE_ONEDNN_OPTS=0.
Looking for C:\Users\K.keras-ocr\recognizer_infoblock.h5
Looking for C:\Users\K.keras-ocr\recognizer_dimensions.h5
Looking for C:\Users\K.keras-ocr\recognizer_gdts.h5
Traceback (most recent call last):
File "D:\Files\Da Documents\Programming\eDOCr\eDOCr\ocr_it.py", line 85, in
class_list, img_boxes=tools.box_tree.findrect(img)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\K\AppData\Roaming\Python\Python312\site-packages\eDOCr\tools\box_tree.py", line 173, in findrect
class_list.append(rect('rect_'+str(r),x,y,w,h,size,crop_img,'green')) #Get a list with the rect class
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\K\AppData\Roaming\Python\Python312\site-packages\eDOCr\tools\box_tree.py", line 32, in init
self.size = size
^^^^^^^^^
AttributeError: property 'size' of 'rect' object has no setter`

I'm still a beginner on this so any kind of help would be appreciated. Thanks!

[lokeshkoushal]

(py310) C:\Users\Lokesh Koushal\Desktop\eDOCr\eDOCr-master\tests>python train.py
[]
Traceback (most recent call last):
File "C:\Users\Lokesh Koushal\Desktop\eDOCr\eDOCr-master\tests\train.py", line 28, in
for i in os.listdir(os.path.join(DIR,'eDOCr/Keras_OCR_models/fonts')):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
FileNotFoundError: [WinError 3] The system cannot find the path specified: 'C:\Users\Lokesh Koushal\Desktop\eDOCr\eDOCr-master\tests\eDOCr/Keras_OCR_models/fonts'

(py310) C:\Users\Lokesh Koushal\Desktop\eDOCr\eDOCr-master\tests>python train.py
File "C:\Users\Lokesh Koushal\Desktop\eDOCr\eDOCr-master\tests\train.py", line 9
recognizer_basepath = os.path.join(DIR,'C:\Users\Lokesh Koushal\Desktop\eDOCr\eDOCr-master\eDOCr\keras_ocr_models\fonts')
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
SyntaxError: (unicode error) 'unicodeescape' codec can't decode bytes in position 2-3: truncated \UXXXXXXXX escape

(py310) C:\Users\Lokesh Koushal\Desktop\eDOCr\eDOCr-master\tests>python train.py
[]
Traceback (most recent call last):
File "C:\Users\Lokesh Koushal\Desktop\eDOCr\eDOCr-master\tests\train.py", line 28, in
for i in os.listdir(os.path.join(DIR,'eDOCr/Keras_OCR_models/fonts')):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
FileNotFoundError: [WinError 3] The system cannot find the path specified: 'C:\Users\Lokesh Koushal\Desktop\eDOCr\eDOCr-master\tests\eDOCr/Keras_OCR_models/fonts'

(py310) C:\Users\Lokesh Koushal\Desktop\eDOCr\eDOCr-master\tests>python train.py
[]
Traceback (most recent call last):
File "C:\Users\Lokesh Koushal\Desktop\eDOCr\eDOCr-master\tests\train.py", line 34, in
raise FileNotFoundError(f"Fonts directory not found: {fonts_dir}")
FileNotFoundError: Fonts directory not found: C:\Users\Lokesh Koushal\Desktop\eDOCr\eDOCr-master\tests\eDOCr\keras_ocr_models\fonts

(py310) C:\Users\Lokesh Koushal\Desktop\eDOCr\eDOCr-master\tests>python train.py
[]
Traceback (most recent call last):
File "C:\Users\Lokesh Koushal\Desktop\eDOCr\eDOCr-master\tests\train.py", line 28, in
for i in os.listdir(os.path.join(DIR,'eDOCr/Keras_OCR_models/fonts')):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
FileNotFoundError: [WinError 3] The system cannot find the path specified: 'C:\Users\Lokesh Koushal\Desktop\eDOCr\eDOCr-master\tests\eDOCr/Keras_OCR_models/fonts'

(py310) C:\Users\Lokesh Koushal\Desktop\eDOCr\eDOCr-master\tests>python train.py
[]
WARNING:tensorflow:From C:\Users\Lokesh Koushal\AppData\Roaming\Python\Python312\site-packages\keras\src\backend\tensorflow\core.py:216: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.

2025-01-16 13:20:50.919268: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
Traceback (most recent call last):
File "C:\Users\Lokesh Koushal\Desktop\eDOCr\eDOCr-master\tests\train.py", line 34, in
train_recognizer.generate_n_train(alphabet,backgrounds,fonts,recognizer_basepath=recognizer_basepath, pretrained_model=pretrained_model)
File "C:\Users\Lokesh Koushal\AppData\Roaming\Python\Python312\site-packages\eDOCr\keras_ocr_models\train_recognizer.py", line 76, in generate_n_train
recognizer = keras_ocr.recognition.Recognizer(alphabet=alphabet)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Lokesh Koushal\AppData\Roaming\Python\Python312\site-packages\eDOCr\keras_ocr\recognition.py", line 388, in init
) = build_model(alphabet=alphabet, **build_params)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Lokesh Koushal\AppData\Roaming\Python\Python312\site-packages\eDOCr\keras_ocr\recognition.py", line 277, in build_model
locnet_y = keras.layers.Dense(
^^^^^^^^^^^^^^^^^^^
File "C:\Users\Lokesh Koushal\AppData\Roaming\Python\Python312\site-packages\keras\src\layers\core\dense.py", line 87, in init
super().init(activity_regularizer=activity_regularizer, **kwargs)
File "C:\Users\Lokesh Koushal\AppData\Roaming\Python\Python312\site-packages\keras\src\layers\layer.py", line 287, in init
raise ValueError(
ValueError: Unrecognized keyword arguments passed to Dense: {'weights': [array([[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.],
[0., 0., 0., 0., 0., 0.]], dtype=float32), array([1., 0., 0., 0., 1., 0.], dtype=float32)]}
solve this errror and not run this code please help me

[lokeshkoushal]

(edocr2) C:\Users\Lokesh Koushal\Desktop\eDOCr-1.0.0\tests>python test_drawing.py
Traceback (most recent call last):
File "C:\Users\Lokesh Koushal\Desktop\eDOCr-1.0.0\tests\test_drawing.py", line 28, in
class_list, img_boxes=tools.box_tree.findrect(img)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Lokesh Koushal.conda\envs\edocr2\Lib\site-packages\eDOCr\tools\box_tree.py", line 173, in findrect
class_list.append(rect('rect_'+str(r),x,y,w,h,size,crop_img,'green')) #Get a list with the rect class
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Lokesh Koushal.conda\envs\edocr2\Lib\site-packages\eDOCr\tools\box_tree.py", line 32, in init
self.size = size
^^^^^^^^^
AttributeError: property 'size' of 'rect' object has no setter

(edocr2) C:\Users\Lokesh Koushal\Desktop\eDOCr-1.0.0\tests>

please sir help this error