continue trainning on pre-trained model

[xingfan-git]

I want to train the pre-trained model with my own dataset. I found the 'train.py' and try to restore the pre-trained model as:

if net =='PNet': saver = tf.train.import_meta_graph(r'./data/MTCNN_model/PNet_landmark/PNet-2.meta') saver.restore(sess, tf.train.latest_checkpoint('./data/MTCNN_model/PNet_landmark/'))

I renamed pre-trained model as PNet-2, and use the checkpoint file at epoch 2. Then I got an error when I run the training code:

Instructions for updating: To construct input pipelines, use the tf.data module. Traceback (most recent call last): File "C:\Users\12132\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\client\session.py", line 1356, in _do_call return fn(*args) File "C:\Users\12132\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\client\session.py", line 1341, in _run_fn options, feed_dict, fetch_list, target_list, run_metadata) File "C:\Users\12132\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\client\session.py", line 1429, in _call_tf_sessionrun run_metadata) tensorflow.python.framework.errors_impl.FailedPreconditionError: 2 root error(s) found. (0) Failed precondition: Attempting to use uninitialized value Variable [[{{node Variable/read}}]] (1) Failed precondition: Attempting to use uninitialized value Variable [[{{node Variable/read}}]] [[_arg_bbox_target_0_1/_149]] 0 successful operations. 0 derived errors ignored.

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File ".\train_models\train_PNet.py", line 31, in train_PNet(base_dir, prefix, end_epoch, display, lr) File ".\train_models\train_PNet.py", line 17, in train_PNet train(net_factory,prefix, end_epoch, base_dir, display=display, base_lr=lr) File "F:\HOME\MTCNN-Tensorflow\train_models\train.py", line 226, in train ,,summary = sess.run([train_op, lr_op ,summary_op], feed_dict={input_image: image_batch_array, label: label_batch_array, bbox_target: bbox_batch_array,landmark_target:landmark_batch_array}) File "C:\Users\12132\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\client\session.py", line 950, in run run_metadata_ptr) File "C:\Users\12132\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\client\session.py", line 1173, in _run feed_dict_tensor, options, run_metadata) File "C:\Users\12132\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\client\session.py", line 1350, in _do_run run_metadata) File "C:\Users\12132\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\client\session.py", line 1370, in _do_call raise type(e)(node_def, op, message) tensorflow.python.framework.errors_impl.FailedPreconditionError: 2 root error(s) found. (0) Failed precondition: Attempting to use uninitialized value Variable [[node Variable/read (defined at F:\HOME\MTCNN-Tensorflow\train_models\train.py:28) ]] (1) Failed precondition: Attempting to use uninitialized value Variable [[node Variable/read (defined at F:\HOME\MTCNN-Tensorflow\train_models\train.py:28) ]] [[_arg_bbox_target_0_1/_149]] 0 successful operations. 0 derived errors ignored.

Original stack trace for 'Variable/read': File ".\train_models\train_PNet.py", line 31, in train_PNet(base_dir, prefix, end_epoch, display, lr) File ".\train_models\train_PNet.py", line 17, in train_PNet train(net_factory,prefix, end_epoch, base_dir, display=display, base_lr=lr) File "F:\HOME\MTCNN-Tensorflow\train_models\train.py", line 166, in train num) File "F:\HOME\MTCNN-Tensorflow\train_models\train.py", line 28, in train_model global_step = tf.Variable(0, trainable=False) File "C:\Users\12132\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\ops\variables.py", line 259, in call return cls._variable_v1_call(*args, **kwargs) File "C:\Users\12132\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\ops\variables.py", line 220, in _variable_v1_call shape=shape) File "C:\Users\12132\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\ops\variables.py", line 198, in previous_getter = lambda **kwargs: default_variable_creator(None, **kwargs) File "C:\Users\12132\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\ops\variable_scope.py", line 2511, in default_variable_creator shape=shape) File "C:\Users\12132\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\ops\variables.py", line 263, in call return super(VariableMetaclass, cls).call(*args, **kwargs) File "C:\Users\12132\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\ops\variables.py", line 1568, in init shape=shape) File "C:\Users\12132\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\ops\variables.py", line 1755, in _init_from_args self._snapshot = array_ops.identity(self._variable, name="read") File "C:\Users\12132\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\util\dispatch.py", line 180, in wrapper return target(*args, **kwargs) File "C:\Users\12132\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\ops\array_ops.py", line 86, in identity ret = gen_array_ops.identity(input, name=name) File "C:\Users\12132\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\ops\gen_array_ops.py", line 4997, in identity "Identity", input=input, name=name) File "C:\Users\12132\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\framework\op_def_library.py", line 788, in _apply_op_helper op_def=op_def) File "C:\Users\12132\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\util\deprecation.py", line 507, in new_func return func(*args, **kwargs) File "C:\Users\12132\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\framework\ops.py", line 3616, in create_op op_def=op_def) File "C:\Users\12132\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\framework\ops.py", line 2005, in init self._traceback = tf_stack.extract_stack()

[NhatTamNL]

Did you solve that problem, i got the same error as you