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MaybeShewill-CV / lanenet-lane-detection

Unofficial implemention of lanenet model for real time lane detection
Apache License 2.0
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请问这个问题怎么解决 #592

Closed LoveMYChen closed 8 months ago

LoveMYChen commented 8 months ago

python tools/test_lanenet.py --weights_path weights/tusimple_lanenet/tusimple_lanenet.ckpt.meta --image_path ./data/tusimple_test_image/0.jpg 2024-03-11 19:32:04.789 | INFO | main:test_lanenet:81 - Start reading image and preprocessing 2024-03-11 19:32:04.801 | INFO | main:test_lanenet:87 - Image load complete, cost time: 0.01093s WARNING:tensorflow:From /home/hdp123/lanenet-lane-detection/lanenet_model/lanenet.py:45: The name tf.variable_scope is deprecated. Please use tf.compat.v1.variable_scope instead.

WARNING:tensorflow: The TensorFlow contrib module will not be included in TensorFlow 2.0. For more information, please see:

WARNING:tensorflow:From /home/hdp123/lanenet-lane-detection/semantic_segmentation_zoo/cnn_basenet.py:70: The name tf.get_variable is deprecated. Please use tf.compat.v1.get_variable instead.

WARNING:tensorflow:From /home/hdp123/lanenet-lane-detection/semantic_segmentation_zoo/cnn_basenet.py:352: batch_normalization (from tensorflow.python.layers.normalization) is deprecated and will be removed in a future version. Instructions for updating: Use keras.layers.BatchNormalization instead. In particular, tf.control_dependencies(tf.GraphKeys.UPDATE_OPS) should not be used (consult the tf.keras.layers.batch_normalization documentation). WARNING:tensorflow:From /home/hdp123/anaconda3/envs/tensorflow/lib/python3.7/site-packages/tensorflow_core/python/layers/normalization.py:327: Layer.apply (from tensorflow.python.keras.engine.base_layer) is deprecated and will be removed in a future version. Instructions for updating: Please use layer.__call__ method instead. WARNING:tensorflow:From /home/hdp123/lanenet-lane-detection/semantic_segmentation_zoo/cnn_basenet.py:177: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead.

WARNING:tensorflow:From /home/hdp123/lanenet-lane-detection/semantic_segmentation_zoo/cnn_basenet.py:201: The name tf.nn.avg_pool is deprecated. Please use tf.nn.avg_pool2d instead.

WARNING:tensorflow:From /home/hdp123/lanenet-lane-detection/semantic_segmentation_zoo/bisenet_v2.py:584: The name tf.image.resize_bilinear is deprecated. Please use tf.compat.v1.image.resize_bilinear instead.

WARNING:tensorflow:From tools/test_lanenet.py:98: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.

WARNING:tensorflow:From tools/test_lanenet.py:103: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.

2024-03-11 19:32:05.754737: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2024-03-11 19:32:05.780969: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 3110400000 Hz 2024-03-11 19:32:05.781769: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x368aa30 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2024-03-11 19:32:05.781810: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2024-03-11 19:32:05.783612: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1 2024-03-11 19:32:05.849226: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2024-03-11 19:32:05.849564: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x468dc90 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices: 2024-03-11 19:32:05.849585: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): NVIDIA GeForce RTX 3060 Laptop GPU, Compute Capability 8.6 2024-03-11 19:32:05.849725: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2024-03-11 19:32:05.850056: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 0 with properties: name: NVIDIA GeForce RTX 3060 Laptop GPU major: 8 minor: 6 memoryClockRate(GHz): 1.425 pciBusID: 0000:01:00.0 2024-03-11 19:32:05.850158: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcudart.so.10.0'; dlerror: libcudart.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /home/hdp123/anaconda3/envs/tensorflow/lib/python3.7/site-packages/cv2/../../lib64:/opt/ros/melodic/lib::/usr/lib/x86_64-linux-gnu:/usr/local/cuda/lib64:/usr/lib/x86_64-linux-gnu 2024-03-11 19:32:05.850206: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcublas.so.10.0'; dlerror: libcublas.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /home/hdp123/anaconda3/envs/tensorflow/lib/python3.7/site-packages/cv2/../../lib64:/opt/ros/melodic/lib::/usr/lib/x86_64-linux-gnu:/usr/local/cuda/lib64:/usr/lib/x86_64-linux-gnu 2024-03-11 19:32:05.850244: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcufft.so.10.0'; dlerror: libcufft.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /home/hdp123/anaconda3/envs/tensorflow/lib/python3.7/site-packages/cv2/../../lib64:/opt/ros/melodic/lib::/usr/lib/x86_64-linux-gnu:/usr/local/cuda/lib64:/usr/lib/x86_64-linux-gnu 2024-03-11 19:32:05.850283: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcurand.so.10.0'; dlerror: libcurand.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /home/hdp123/anaconda3/envs/tensorflow/lib/python3.7/site-packages/cv2/../../lib64:/opt/ros/melodic/lib::/usr/lib/x86_64-linux-gnu:/usr/local/cuda/lib64:/usr/lib/x86_64-linux-gnu 2024-03-11 19:32:05.850319: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcusolver.so.10.0'; dlerror: libcusolver.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /home/hdp123/anaconda3/envs/tensorflow/lib/python3.7/site-packages/cv2/../../lib64:/opt/ros/melodic/lib::/usr/lib/x86_64-linux-gnu:/usr/local/cuda/lib64:/usr/lib/x86_64-linux-gnu 2024-03-11 19:32:05.850356: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcusparse.so.10.0'; dlerror: libcusparse.so.10.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /home/hdp123/anaconda3/envs/tensorflow/lib/python3.7/site-packages/cv2/../../lib64:/opt/ros/melodic/lib::/usr/lib/x86_64-linux-gnu:/usr/local/cuda/lib64:/usr/lib/x86_64-linux-gnu 2024-03-11 19:32:05.850394: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcudnn.so.7'; dlerror: libcudnn.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /home/hdp123/anaconda3/envs/tensorflow/lib/python3.7/site-packages/cv2/../../lib64:/opt/ros/melodic/lib::/usr/lib/x86_64-linux-gnu:/usr/local/cuda/lib64:/usr/lib/x86_64-linux-gnu 2024-03-11 19:32:05.850399: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1641] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform. Skipping registering GPU devices... 2024-03-11 19:32:05.850410: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix: 2024-03-11 19:32:05.850415: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165] 0 2024-03-11 19:32:05.850419: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0: N WARNING:tensorflow:From tools/test_lanenet.py:114: The name tf.train.Saver is deprecated. Please use tf.compat.v1.train.Saver instead.

2024-03-11 19:32:06.213332: W tensorflow/core/util/tensor_slice_reader.cc:95] Could not open weights/tusimple_lanenet/tusimple_lanenet.ckpt.meta: Data loss: not an sstable (bad magic number): perhaps your file is in a different file format and you need to use a different restore operator? 2024-03-11 19:32:06.213588: W tensorflow/core/util/tensor_slice_reader.cc:95] Could not open weights/tusimple_lanenet/tusimple_lanenet.ckpt.meta: Data loss: not an sstable (bad magic number): perhaps your file is in a different file format and you need to use a different restore operator? 2024-03-11 19:32:06.213598: W tensorflow/core/framework/op_kernel.cc:1651] OP_REQUIRES failed at save_restore_tensor.cc:175 : Data loss: Unable to open table file weights/tusimple_lanenet/tusimple_lanenet.ckpt.meta: Data loss: not an sstable (bad magic number): perhaps your file is in a different file format and you need to use a different restore operator? Traceback (most recent call last): File "/home/hdp123/anaconda3/envs/tensorflow/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 1365, in _do_call return fn(*args) File "/home/hdp123/anaconda3/envs/tensorflow/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 1350, in _run_fn target_list, run_metadata) File "/home/hdp123/anaconda3/envs/tensorflow/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 1443, in _call_tf_sessionrun run_metadata) tensorflow.python.framework.errors_impl.DataLossError: Unable to open table file weights/tusimple_lanenet/tusimple_lanenet.ckpt.meta: Data loss: not an sstable (bad magic number): perhaps your file is in a different file format and you need to use a different restore operator? [[{{node save/RestoreV2}}]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "tools/test_lanenet.py", line 170, in test_lanenet(args.image_path, args.weights_path, with_lane_fit=args.with_lane_fit) File "tools/test_lanenet.py", line 117, in test_lanenet saver.restore(sess=sess, save_path=weights_path) File "/home/hdp123/anaconda3/envs/tensorflow/lib/python3.7/site-packages/tensorflow_core/python/training/saver.py", line 1290, in restore {self.saver_def.filename_tensor_name: save_path}) File "/home/hdp123/anaconda3/envs/tensorflow/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 956, in run run_metadata_ptr) File "/home/hdp123/anaconda3/envs/tensorflow/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 1180, in _run feed_dict_tensor, options, run_metadata) File "/home/hdp123/anaconda3/envs/tensorflow/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 1359, in _do_run run_metadata) File "/home/hdp123/anaconda3/envs/tensorflow/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 1384, in _do_call raise type(e)(node_def, op, message) tensorflow.python.framework.errors_impl.DataLossError: Unable to open table file weights/tusimple_lanenet/tusimple_lanenet.ckpt.meta: Data loss: not an sstable (bad magic number): perhaps your file is in a different file format and you need to use a different restore operator? [[node save/RestoreV2 (defined at /home/hdp123/anaconda3/envs/tensorflow/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py:1748) ]]

Original stack trace for 'save/RestoreV2': File "tools/test_lanenet.py", line 170, in test_lanenet(args.image_path, args.weights_path, with_lane_fit=args.with_lane_fit) File "tools/test_lanenet.py", line 114, in test_lanenet saver = tf.train.Saver(variables_to_restore) File "/home/hdp123/anaconda3/envs/tensorflow/lib/python3.7/site-packages/tensorflow_core/python/training/saver.py", line 828, in init self.build() File "/home/hdp123/anaconda3/envs/tensorflow/lib/python3.7/site-packages/tensorflow_core/python/training/saver.py", line 840, in build self._build(self._filename, build_save=True, build_restore=True) File "/home/hdp123/anaconda3/envs/tensorflow/lib/python3.7/site-packages/tensorflow_core/python/training/saver.py", line 878, in _build build_restore=build_restore) File "/home/hdp123/anaconda3/envs/tensorflow/lib/python3.7/site-packages/tensorflow_core/python/training/saver.py", line 508, in _build_internal restore_sequentially, reshape) File "/home/hdp123/anaconda3/envs/tensorflow/lib/python3.7/site-packages/tensorflow_core/python/training/saver.py", line 328, in _AddRestoreOps restore_sequentially) File "/home/hdp123/anaconda3/envs/tensorflow/lib/python3.7/site-packages/tensorflow_core/python/training/saver.py", line 575, in bulk_restore return io_ops.restore_v2(filename_tensor, names, slices, dtypes) File "/home/hdp123/anaconda3/envs/tensorflow/lib/python3.7/site-packages/tensorflow_core/python/ops/gen_io_ops.py", line 1696, in restore_v2 name=name) File "/home/hdp123/anaconda3/envs/tensorflow/lib/python3.7/site-packages/tensorflow_core/python/framework/op_def_library.py", line 794, in _apply_op_helper op_def=op_def) File "/home/hdp123/anaconda3/envs/tensorflow/lib/python3.7/site-packages/tensorflow_core/python/util/deprecation.py", line 507, in new_func return func(*args, **kwargs) File "/home/hdp123/anaconda3/envs/tensorflow/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py", line 3357, in create_op attrs, op_def, compute_device) File "/home/hdp123/anaconda3/envs/tensorflow/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py", line 3426, in _create_op_internal op_def=op_def) File "/home/hdp123/anaconda3/envs/tensorflow/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py", line 1748, in init self._traceback = tf_stack.extract_stack()