problem with tf saver

Hi,

I am trying to use your code for a simulation but I will receive the corresponding errors with the tf. I downloaded the New_Tusimple_Lanenet_Model_Weights and put them into a folder named model, and changed the save_path inside the code to the full path of the weights_path and run the following code: python3 test_lanenet.py --is_batch False --batch_size 1 --image_path data/tusimple_test_image/0.jpg --weights_path model/ --use_gpu 1

But I receive the following error:

`I1106 10:41:31.327025 8960 test_lanenet.py:77] 开始读取图像数据并进行预处理 I1106 10:41:31.336418 8960 test_lanenet.py:83] 图像读取完毕, 耗时: 0.00930s INFO:tensorflow:Restoring parameters from /home/mojzar/Desktop/lanenet-lane-detection/model I1106 10:41:32.867822 8960 tf_logging.py:115] Restoring parameters from /home/mojzar/Desktop/lanenet-lane-detection/model Traceback (most recent call last): File “/home/mojzar/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py”, line 1292, in _do_call return fn(*args) File “/home/mojzar/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py”, line 1277, in _run_fn options, feed_dict, fetch_list, target_list, run_metadata) File “/home/mojzar/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py”, line 1367, in _call_tf_sessionrun run_metadata) tensorflow.python.framework.errors_impl.DataLossError: Unable to open table file /home/mojzar/Desktop/lanenet-lane-detection/model: Failed precondition: /home/mojzar/Desktop/lanenet-lane-detection/model; Is a directory: perhaps your file is in a different file format and you need to use a different restore operator? [[{{node save/RestoreV2}} = RestoreV2[dtypes=[DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, …, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT], _device=“/job:localhost/replica:0/task:0/device:CPU:0”](_arg_save/Const_0_0, save/RestoreV2/tensor_names, save/RestoreV2/shape_and_slices)]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File “test_lanenet.py”, line 250, in <module> test_lanenet(args.image_path, args.weights_path, args.use_gpu) File “test_lanenet.py”, line 109, in test_lanenet saver.restore(sess=sess, save_path=‘/home/mojzar/Desktop/lanenet-lane-detection/model’) File “/home/mojzar/.local/lib/python3.6/site-packages/tensorflow/python/training/saver.py”, line 1538, in restore {self.saver_def.filename_tensor_name: save_path}) File “/home/mojzar/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py”, line 887, in run run_metadata_ptr) File “/home/mojzar/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py”, line 1110, in _run feed_dict_tensor, options, run_metadata) File “/home/mojzar/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py”, line 1286, in _do_run run_metadata) File “/home/mojzar/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py”, line 1308, in _do_call raise type(e)(node_def, op, message) tensorflow.python.framework.errors_impl.DataLossError: Unable to open table file /home/mojzar/Desktop/lanenet-lane-detection/model: Failed precondition: /home/mojzar/Desktop/lanenet-lane-detection/model; Is a directory: perhaps your file is in a different file format and you need to use a different restore operator? [[{{node save/RestoreV2}} = RestoreV2[dtypes=[DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, …, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT], _device=“/job:localhost/replica:0/task:0/device:CPU:0”](_arg_save/Const_0_0, save/RestoreV2/tensor_names, save/RestoreV2/shape_and_slices)]]

Caused by op ‘save/RestoreV2’, defined at: File “test_lanenet.py”, line 250, in <module> test_lanenet(args.image_path, args.weights_path, args.use_gpu) File “test_lanenet.py”, line 94, in test_lanenet saver = tf.train.Saver() File “/home/mojzar/.local/lib/python3.6/site-packages/tensorflow/python/training/saver.py”, line 1094, in init self.build() File “/home/mojzar/.local/lib/python3.6/site-packages/tensorflow/python/training/saver.py”, line 1106, in build self._build(self._filename, build_save=True, build_restore=True) File “/home/mojzar/.local/lib/python3.6/site-packages/tensorflow/python/training/saver.py”, line 1143, in _build build_save=build_save, build_restore=build_restore) File “/home/mojzar/.local/lib/python3.6/site-packages/tensorflow/python/training/saver.py”, line 787, in _build_internal restore_sequentially, reshape) File “/home/mojzar/.local/lib/python3.6/site-packages/tensorflow/python/training/saver.py”, line 406, in _AddRestoreOps restore_sequentially) File “/home/mojzar/.local/lib/python3.6/site-packages/tensorflow/python/training/saver.py”, line 854, in bulk_restore return io_ops.restore_v2(filename_tensor, names, slices, dtypes) File “/home/mojzar/.local/lib/python3.6/site-packages/tensorflow/python/ops/gen_io_ops.py”, line 1466, in restore_v2 shape_and_slices=shape_and_slices, dtypes=dtypes, name=name) File “/home/mojzar/.local/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py”, line 787, in _apply_op_helper op_def=op_def) File “/home/mojzar/.local/lib/python3.6/site-packages/tensorflow/python/util/deprecation.py”, line 488, in new_func return func(*args, **kwargs) File “/home/mojzar/.local/lib/python3.6/site-packages/tensorflow/python/framework/ops.py”, line 3272, in create_op op_def=op_def) File “/home/mojzar/.local/lib/python3.6/site-packages/tensorflow/python/framework/ops.py”, line 1768, in init self._traceback = tf_stack.extract_stack()

DataLossError (see above for traceback): Unable to open table file /home/mojzar/Desktop/lanenet-lane-detection/model: Failed precondition: /home/mojzar/Desktop/lanenet-lane-detection/model; Is a directory: perhaps your file is in a different file format and you need to use a different restore operator? [[{{node save/RestoreV2}} = RestoreV2[dtypes=[DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, …, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT], _device=“/job:localhost/replica:0/task:0/device:CPU:0”](_arg_save/Const_0_0, save/RestoreV2/tensor_names, save/RestoreV2/shape_and_slices)]] ` What is wrong?

[MaybeShewill-CV]

@FrancisGee ==! Should be tusimple_lanenet_vgg_2018-10-19-13-33-56.ckpt-200000 not tusimple_lanenet_vgg_2018-10-19-13-33-56.ckpt-200000.data-00000-of-00001. Seems you are not familiar with tensorflow at all ==!

[MaybeShewill-CV]

@Mojzaar No you have to develop it by yourself:)