train model, an error occurred please help

[asdjklfgh001]

Using TensorFlow backend.
/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:516: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint8 = np.dtype([("qint8", np.int8, 1)])
/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint16 = np.dtype([("qint16", np.int16, 1)])
/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:519: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:520: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint32 = np.dtype([("qint32", np.int32, 1)])
/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:525: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
np_resource = np.dtype([("resource", np.ubyte, 1)])
/usr/local/lib/python3.6/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:541: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint8 = np.dtype([("qint8", np.int8, 1)])
/usr/local/lib/python3.6/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:542: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/usr/local/lib/python3.6/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:543: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint16 = np.dtype([("qint16", np.int16, 1)])
/usr/local/lib/python3.6/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:544: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/usr/local/lib/python3.6/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:545: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint32 = np.dtype([("qint32", np.int32, 1)])
/usr/local/lib/python3.6/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:550: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
np_resource = np.dtype([("resource", np.ubyte, 1)])
Generating anchor boxes for training images and annotation...
Average IOU for 9 anchors: 0.68
Anchor Boxes generated.
Detection configuration saved in no-parking/json/detection_config.json
Training on: ['no-parking']
Training with Batch Size: 4
Number of Experiments: 50
WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/imageai/Detection/Custom/yolo.py:24: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.cast instead.
WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/imageai/Detection/Custom/yolo.py:149: The name tf.assign_add is deprecated. Please use tf.compat.v1.assign_add instead.

Training with transfer learning from pretrained Model
/usr/local/lib/python3.6/dist-packages/keras/callbacks/callbacks.py:998: UserWarning: epsilon argument is deprecated and will be removed, use min_delta instead.
warnings.warn('epsilon argument is deprecated and '
WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:422: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:431: The name tf.is_variable_initialized is deprecated. Please use tf.compat.v1.is_variable_initialized instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:438: The name tf.variables_initializer is deprecated. Please use tf.compat.v1.variables_initializer instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/callbacks/tensorboard_v1.py:200: The name tf.summary.merge_all is deprecated. Please use tf.compat.v1.summary.merge_all instead.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/callbacks/tensorboard_v1.py:203: The name tf.summary.FileWriter is deprecated. Please use tf.compat.v1.summary.FileWriter instead.

Epoch 1/50
25/480 [>.............................] - ETA: 16:57 - loss: 123.8193 - yolo_layer_1_loss: 24.0165 - yolo_layer_2_loss: 36.3519 - yolo_layer_3_loss: 63.4509Cannot find no-parking/train/images/np33.gif
34/480 [=>............................] - ETA: 14:44 - loss: 110.6233 - yolo_layer_1_loss: 21.2062 - yolo_layer_2_loss: 32.3423 - yolo_layer_3_loss: 57.0748

TypeError Traceback (most recent call last)
in ()
5 trainer.setDataDirectory(data_directory="no-parking")
6 trainer.setTrainConfig(object_names_array=["no-parking"], batch_size=4, num_experiments=50, train_from_pretrained_model="pretrained-yolov3.h5")
----> 7 trainer.trainModel()

11 frames
/usr/local/lib/python3.6/dist-packages/imageai/Detection/Custom/init.py in trainModel(self)
289 callbacks=callbacks,
290 workers=4,
--> 291 max_queue_size=8
292 )
293

/usr/local/lib/python3.6/dist-packages/keras/legacy/interfaces.py in wrapper(*args, **kwargs)
89 warnings.warn('Update your ' + object_name + ' call to the ' +
90 'Keras 2 API: ' + signature, stacklevel=2)
---> 91 return func(*args, **kwargs)
92 wrapper._original_function = func
93 return wrapper

/usr/local/lib/python3.6/dist-packages/keras/engine/training.py in fit_generator(self, generator, steps_per_epoch, epochs, verbose, callbacks, validation_data, validation_steps, validation_freq, class_weight, max_queue_size, workers, use_multiprocessing, shuffle, initial_epoch)
1730 use_multiprocessing=use_multiprocessing,
1731 shuffle=shuffle,
-> 1732 initial_epoch=initial_epoch)
1733
1734 @interfaces.legacy_generator_methods_support

/usr/local/lib/python3.6/dist-packages/keras/engine/training_generator.py in fit_generator(model, generator, steps_per_epoch, epochs, verbose, callbacks, validation_data, validation_steps, validation_freq, class_weight, max_queue_size, workers, use_multiprocessing, shuffle, initial_epoch)
183 batch_index = 0
184 while steps_done < steps_per_epoch:
--> 185 generator_output = next(output_generator)
186
187 if not hasattr(generator_output, 'len'):

/usr/local/lib/python3.6/dist-packages/keras/utils/data_utils.py in get(self)
623 except Exception:
624 self.stop()
--> 625 six.reraise(*sys.exc_info())
626
627

/usr/local/lib/python3.6/dist-packages/six.py in reraise(tp, value, tb)
701 if value.traceback is not tb:
702 raise value.with_traceback(tb)
--> 703 raise value
704 finally:
705 value = None

/usr/local/lib/python3.6/dist-packages/keras/utils/data_utils.py in get(self)
608 try:
609 future = self.queue.get(block=True)
--> 610 inputs = future.get(timeout=30)
611 except mp.TimeoutError:
612 idx = future.idx

/usr/lib/python3.6/multiprocessing/pool.py in get(self, timeout)
642 return self._value
643 else:
--> 644 raise self._value
645
646 def _set(self, i, obj):

/usr/lib/python3.6/multiprocessing/pool.py in worker(inqueue, outqueue, initializer, initargs, maxtasks, wrap_exception)
117 job, i, func, args, kwds = task
118 try:
--> 119 result = (True, func(*args, **kwds))
120 except Exception as e:
121 if wrap_exception and func is not _helper_reraises_exception:

/usr/local/lib/python3.6/dist-packages/keras/utils/data_utils.py in get_index(uid, i)
404 The value at index i.
405 """
--> 406 return _SHARED_SEQUENCES[uid][i]
407
408

/usr/local/lib/python3.6/dist-packages/imageai/Detection/Custom/generator.py in getitem(self, idx)
71 for train_instance in self.instances[l_bound:r_bound]:
72 # augment input image and fix object's position and size
---> 73 img, all_objs = self._aug_image(train_instance, net_h, net_w)
74
75 for obj in all_objs:

/usr/local/lib/python3.6/dist-packages/imageai/Detection/Custom/generator.py in _aug_image(self, instance, net_h, net_w)
161
162 if image is None: print('Cannot find ', image_name)
--> 163 image = image[:,:,::-1] # RGB image
164
165 image_h, image_w, _ = image.shape

TypeError: 'NoneType' object is not subscriptable

send help please. thankyou

[naivomah3]

The above issue is not related to the current project. You can get help anywhere else(like on stackoverflow.com, etc...).