sankethsj
commented
1 month ago Hello @Abhijeet241093, please check the README file for detailed instructions on how to setup and run this script.
Closed Abhijeet241093 closed 1 month ago
sankethsj
commented
1 month ago Hello @Abhijeet241093, please check the README file for detailed instructions on how to setup and run this script.
Detected at node 'sequential_4/sequential_1/model1/Conv1/Conv2D' defined at (most recent call last): File "main.py", line 75, in
y_pred, score = prediction_func(img_crop)
File "main.py", line 30, in prediction_func
pred = predictor.predict(img)
File "/home/creapple/anaconda3/envs/seatbelt_detection_py/lib/python3.8/site-packages/keras/utils/traceback_utils.py", line 65, in error_handler
return fn(*args, kwargs)
File "/home/creapple/anaconda3/envs/seatbelt_detection_py/lib/python3.8/site-packages/keras/engine/training.py", line 2382, in predict
tmp_batch_outputs = self.predict_function(iterator)
File "/home/creapple/anaconda3/envs/seatbelt_detection_py/lib/python3.8/site-packages/keras/engine/training.py", line 2169, in predict_function
return step_function(self, iterator)
File "/home/creapple/anaconda3/envs/seatbelt_detection_py/lib/python3.8/site-packages/keras/engine/training.py", line 2155, in step_function
outputs = model.distribute_strategy.run(run_step, args=(data,))
File "/home/creapple/anaconda3/envs/seatbelt_detection_py/lib/python3.8/site-packages/keras/engine/training.py", line 2143, in run_step
outputs = model.predict_step(data)
File "/home/creapple/anaconda3/envs/seatbelt_detection_py/lib/python3.8/site-packages/keras/engine/training.py", line 2111, in predict_step
return self(x, training=False)
File "/home/creapple/anaconda3/envs/seatbelt_detection_py/lib/python3.8/site-packages/keras/utils/traceback_utils.py", line 65, in error_handler
return fn(*args, *kwargs)
File "/home/creapple/anaconda3/envs/seatbelt_detection_py/lib/python3.8/site-packages/keras/engine/training.py", line 558, in call
return super().call(args, kwargs)
File "/home/creapple/anaconda3/envs/seatbelt_detection_py/lib/python3.8/site-packages/keras/utils/traceback_utils.py", line 65, in error_handler
return fn(*args, kwargs)
File "/home/creapple/anaconda3/envs/seatbelt_detection_py/lib/python3.8/site-packages/keras/engine/base_layer.py", line 1145, in call
outputs = call_fn(inputs, *args, *kwargs)
File "/home/creapple/anaconda3/envs/seatbelt_detection_py/lib/python3.8/site-packages/keras/utils/traceback_utils.py", line 96, in error_handler
return fn(args, kwargs)
File "/home/creapple/anaconda3/envs/seatbelt_detection_py/lib/python3.8/site-packages/keras/engine/sequential.py", line 412, in call
return super().call(inputs, training=training, mask=mask)
File "/home/creapple/anaconda3/envs/seatbelt_detection_py/lib/python3.8/site-packages/keras/engine/functional.py", line 512, in call
return self._run_internal_graph(inputs, training=training, mask=mask)
File "/home/creapple/anaconda3/envs/seatbelt_detection_py/lib/python3.8/site-packages/keras/engine/functional.py", line 669, in _run_internal_graph
outputs = node.layer(*args, kwargs)
File "/home/creapple/anaconda3/envs/seatbelt_detection_py/lib/python3.8/site-packages/keras/utils/traceback_utils.py", line 65, in error_handler
return fn(*args, *kwargs)
File "/home/creapple/anaconda3/envs/seatbelt_detection_py/lib/python3.8/site-packages/keras/engine/training.py", line 558, in call
return super().call(args, kwargs)
File "/home/creapple/anaconda3/envs/seatbelt_detection_py/lib/python3.8/site-packages/keras/utils/traceback_utils.py", line 65, in error_handler
return fn(*args, kwargs)
File "/home/creapple/anaconda3/envs/seatbelt_detection_py/lib/python3.8/site-packages/keras/engine/base_layer.py", line 1145, in call
outputs = call_fn(inputs, *args, *kwargs)
File "/home/creapple/anaconda3/envs/seatbelt_detection_py/lib/python3.8/site-packages/keras/utils/traceback_utils.py", line 96, in error_handler
return fn(args, kwargs)
File "/home/creapple/anaconda3/envs/seatbelt_detection_py/lib/python3.8/site-packages/keras/engine/sequential.py", line 412, in call
return super().call(inputs, training=training, mask=mask)
File "/home/creapple/anaconda3/envs/seatbelt_detection_py/lib/python3.8/site-packages/keras/engine/functional.py", line 512, in call
return self._run_internal_graph(inputs, training=training, mask=mask)
File "/home/creapple/anaconda3/envs/seatbelt_detection_py/lib/python3.8/site-packages/keras/engine/functional.py", line 669, in _run_internal_graph
outputs = node.layer(*args, kwargs)
File "/home/creapple/anaconda3/envs/seatbelt_detection_py/lib/python3.8/site-packages/keras/utils/traceback_utils.py", line 65, in error_handler
return fn(*args, *kwargs)
File "/home/creapple/anaconda3/envs/seatbelt_detection_py/lib/python3.8/site-packages/keras/engine/training.py", line 558, in call
return super().call(args, kwargs)
File "/home/creapple/anaconda3/envs/seatbelt_detection_py/lib/python3.8/site-packages/keras/utils/traceback_utils.py", line 65, in error_handler
return fn(*args, kwargs)
File "/home/creapple/anaconda3/envs/seatbelt_detection_py/lib/python3.8/site-packages/keras/engine/base_layer.py", line 1145, in call
outputs = call_fn(inputs, *args, *kwargs)
File "/home/creapple/anaconda3/envs/seatbelt_detection_py/lib/python3.8/site-packages/keras/utils/traceback_utils.py", line 96, in error_handler
return fn(args, kwargs)
File "/home/creapple/anaconda3/envs/seatbelt_detection_py/lib/python3.8/site-packages/keras/engine/functional.py", line 512, in call
return self._run_internal_graph(inputs, training=training, mask=mask)
File "/home/creapple/anaconda3/envs/seatbelt_detection_py/lib/python3.8/site-packages/keras/engine/functional.py", line 669, in _run_internal_graph
outputs = node.layer(*args, kwargs)
File "/home/creapple/anaconda3/envs/seatbelt_detection_py/lib/python3.8/site-packages/keras/utils/traceback_utils.py", line 65, in error_handler
return fn(*args, *kwargs)
File "/home/creapple/anaconda3/envs/seatbelt_detection_py/lib/python3.8/site-packages/keras/engine/base_layer.py", line 1145, in call
outputs = call_fn(inputs, args, kwargs)
File "/home/creapple/anaconda3/envs/seatbelt_detection_py/lib/python3.8/site-packages/keras/utils/traceback_utils.py", line 96, in error_handler
return fn(*args, **kwargs)
File "/home/creapple/anaconda3/envs/seatbelt_detection_py/lib/python3.8/site-packages/keras/layers/convolutional/base_conv.py", line 290, in call
outputs = self.convolution_op(inputs, self.kernel)
File "/home/creapple/anaconda3/envs/seatbelt_detection_py/lib/python3.8/site-packages/keras/layers/convolutional/base_conv.py", line 262, in convolution_op
return tf.nn.convolution(
Node: 'sequential_4/sequential_1/model1/Conv1/Conv2D'
DNN library is not found.
[[{{node sequential_4/sequential_1/model1/Conv1/Conv2D}}]] [Op:__inference_predict_function_6381]