Open shamine5 opened 2 years ago
import keras_ocr pipeline = keras_ocr.pipeline.Pipeline()
Error
Looking for C:\Users\keras-ocr\craft_mlt_25k.h5 --------------------------------------------------------------------------- NotImplementedError Traceback (most recent call last) <ipython-input-34-6e067efdc308> in <module> 1 import keras_ocr 2 ----> 3 pipeline = keras_ocr.pipeline.Pipeline() ~\anaconda3\envs\Tensorflow_1\lib\site-packages\keras_ocr\pipeline.py in __init__(self, detector, recognizer, scale, max_size) 20 detector = detection.Detector() 21 if recognizer is None: ---> 22 recognizer = recognition.Recognizer() 23 self.scale = scale 24 self.detector = detector ~\anaconda3\envs\Tensorflow_1\lib\site-packages\keras_ocr\recognition.py in __init__(self, alphabet, weights, build_params) 386 self.training_model, 387 self.prediction_model, --> 388 ) = build_model(alphabet=alphabet, **build_params) 389 if weights is not None: 390 weights_dict = PRETRAINED_WEIGHTS[weights] ~\anaconda3\envs\Tensorflow_1\lib\site-packages\keras_ocr\recognition.py in build_model(alphabet, height, width, color, filters, rnn_units, dropout, rnn_steps_to_discard, pool_size, stn) 283 )(locnet_y) 284 localization_net = keras.models.Model(inputs=stn_input_layer, outputs=locnet_y) --> 285 x = keras.layers.Lambda(_transform, output_shape=stn_input_output_shape)( 286 [x, localization_net(x)] 287 ) ~\anaconda3\envs\Tensorflow_1\lib\site-packages\tensorflow\python\keras\engine\base_layer.py in __call__(self, *args, **kwargs) 923 # >> model = tf.keras.Model(inputs, outputs) 924 if _in_functional_construction_mode(self, inputs, args, kwargs, input_list): --> 925 return self._functional_construction_call(inputs, args, kwargs, 926 input_list) 927 ~\anaconda3\envs\Tensorflow_1\lib\site-packages\tensorflow\python\keras\engine\base_layer.py in _functional_construction_call(self, inputs, args, kwargs, input_list) 1115 try: 1116 with ops.enable_auto_cast_variables(self._compute_dtype_object): -> 1117 outputs = call_fn(cast_inputs, *args, **kwargs) 1118 1119 except errors.OperatorNotAllowedInGraphError as e: ~\anaconda3\envs\Tensorflow_1\lib\site-packages\tensorflow\python\keras\layers\core.py in call(self, inputs, mask, training) 901 with backprop.GradientTape(watch_accessed_variables=True) as tape,\ 902 variable_scope.variable_creator_scope(_variable_creator): --> 903 result = self.function(inputs, **kwargs) 904 self._check_variables(created_variables, tape.watched_variables()) 905 return result ~\anaconda3\envs\Tensorflow_1\lib\site-packages\keras_ocr\recognition.py in _transform(inputs) 86 output_height = output_size[0] 87 output_width = output_size[1] ---> 88 indices_grid = _meshgrid(output_height, output_width) 89 indices_grid = tf.expand_dims(indices_grid, 0) 90 indices_grid = tf.reshape(indices_grid, [-1]) # flatten? ~\anaconda3\envs\Tensorflow_1\lib\site-packages\keras_ocr\recognition.py in _meshgrid(height, width) 62 x_linspace = tf.linspace(-1.0, 1.0, width) 63 y_linspace = tf.linspace(-1.0, 1.0, height) ---> 64 x_coordinates, y_coordinates = tf.meshgrid(x_linspace, y_linspace) 65 x_coordinates = tf.reshape(x_coordinates, shape=(1, -1)) 66 y_coordinates = tf.reshape(y_coordinates, shape=(1, -1)) ~\anaconda3\envs\Tensorflow_1\lib\site-packages\tensorflow\python\util\dispatch.py in wrapper(*args, **kwargs) 199 """Call target, and fall back on dispatchers if there is a TypeError.""" 200 try: --> 201 return target(*args, **kwargs) 202 except (TypeError, ValueError): 203 # Note: convert_to_eager_tensor currently raises a ValueError, not a ~\anaconda3\envs\Tensorflow_1\lib\site-packages\tensorflow\python\ops\array_ops.py in meshgrid(*args, **kwargs) 3471 3472 # TODO(nolivia): improve performance with a broadcast -> 3473 mult_fact = ones(shapes, output_dtype) 3474 return [x * mult_fact for x in output] 3475 ~\anaconda3\envs\Tensorflow_1\lib\site-packages\tensorflow\python\util\dispatch.py in wrapper(*args, **kwargs) 199 """Call target, and fall back on dispatchers if there is a TypeError.""" 200 try: --> 201 return target(*args, **kwargs) 202 except (TypeError, ValueError): 203 # Note: convert_to_eager_tensor currently raises a ValueError, not a ~\anaconda3\envs\Tensorflow_1\lib\site-packages\tensorflow\python\ops\array_ops.py in ones(shape, dtype, name) 3039 # Create a constant if it won't be very big. Otherwise create a fill 3040 # op to prevent serialized GraphDefs from becoming too large. -> 3041 output = _constant_if_small(one, shape, dtype, name) 3042 if output is not None: 3043 return output ~\anaconda3\envs\Tensorflow_1\lib\site-packages\tensorflow\python\ops\array_ops.py in _constant_if_small(value, shape, dtype, name) 2730 def _constant_if_small(value, shape, dtype, name): 2731 try: -> 2732 if np.prod(shape) < 1000: 2733 return constant(value, shape=shape, dtype=dtype, name=name) 2734 except TypeError: <__array_function__ internals> in prod(*args, **kwargs) ~\anaconda3\envs\Tensorflow_1\lib\site-packages\numpy\core\fromnumeric.py in prod(a, axis, dtype, out, keepdims, initial, where) 3028 10 3029 """ -> 3030 return _wrapreduction(a, np.multiply, 'prod', axis, dtype, out, 3031 keepdims=keepdims, initial=initial, where=where) 3032 ~\anaconda3\envs\Tensorflow_1\lib\site-packages\numpy\core\fromnumeric.py in _wrapreduction(obj, ufunc, method, axis, dtype, out, **kwargs) 85 return reduction(axis=axis, out=out, **passkwargs) 86 ---> 87 return ufunc.reduce(obj, axis, dtype, out, **passkwargs) 88 89 ~\anaconda3\envs\Tensorflow_1\lib\site-packages\tensorflow\python\framework\ops.py in __array__(self) 843 844 def __array__(self): --> 845 raise NotImplementedError( 846 "Cannot convert a symbolic Tensor ({}) to a numpy array." 847 " This error may indicate that you're trying to pass a Tensor to" NotImplementedError: Cannot convert a symbolic Tensor (lambda_7/meshgrid/Size_1:0) to a numpy array. This error may indicate that you're trying to pass a Tensor to a NumPy call, which is not supported
I tried the same commands on Collab its working but on Jupyter Notebook it throws error. May I Know how to fix this.
Error
I tried the same commands on Collab its working but on Jupyter Notebook it throws error. May I Know how to fix this.