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Livox-SDK / livox_detection

Livox open source detection algorithm
Apache License 2.0
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Unable to change voxel size #25

Open bhaskar-anand-iith opened 2 years ago

bhaskar-anand-iith commented 2 years ago

I get error when I try to use any voxel size other than provided in config (0.2,0.2,0.2).

/home/bhaskar/.local/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:526: 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)]) /home/bhaskar/.local/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:527: 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)]) /home/bhaskar/.local/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:528: 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)]) /home/bhaskar/.local/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:529: 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)]) /home/bhaskar/.local/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:530: 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)]) /home/bhaskar/.local/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:535: 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)]) 2016 448 60 (1, 2016, 448, 60) WARNING:tensorflow:From /home/bhaskar/.local/lib/python3.7/site-packages/tensorflow/python/framework/op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version. Instructions for updating: Colocations handled automatically by placer. 2021-12-30 13:31:07.269448: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2021-12-30 13:31:07.292682: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 3699850000 Hz 2021-12-30 13:31:07.293681: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0x3527730 executing computations on platform Host. Devices: 2021-12-30 13:31:07.293718: I tensorflow/compiler/xla/service/service.cc:158] StreamExecutor device (0): , WARNING:tensorflow:From /home/bhaskar/.local/lib/python3.7/site-packages/tensorflow/python/training/saver.py:1266: checkpoint_exists (from tensorflow.python.training.checkpoint_management) is deprecated and will be removed in a future version. Instructions for updating: Use standard file APIs to check for files with this prefix. Traceback (most recent call last): File "/home/bhaskar/.local/lib/python3.7/site-packages/tensorflow/python/client/session.py", line 1334, in _do_call return fn(*args) File "/home/bhaskar/.local/lib/python3.7/site-packages/tensorflow/python/client/session.py", line 1319, in _run_fn options, feed_dict, fetch_list, target_list, run_metadata) File "/home/bhaskar/.local/lib/python3.7/site-packages/tensorflow/python/client/session.py", line 1407, in _call_tf_sessionrun run_metadata) tensorflow.python.framework.errors_impl.InvalidArgumentError: Assign requires shapes of both tensors to match. lhs shape= [3,3,60,64] rhs shape= [3,3,30,64] [[{{node save/Assign_3}}]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "/home/bhaskar/.local/lib/python3.7/site-packages/tensorflow/python/training/saver.py", line 1276, in restore {self.saver_def.filename_tensor_name: save_path}) File "/home/bhaskar/.local/lib/python3.7/site-packages/tensorflow/python/client/session.py", line 929, in run run_metadata_ptr) File "/home/bhaskar/.local/lib/python3.7/site-packages/tensorflow/python/client/session.py", line 1152, in _run feed_dict_tensor, options, run_metadata) File "/home/bhaskar/.local/lib/python3.7/site-packages/tensorflow/python/client/session.py", line 1328, in _do_run run_metadata) File "/home/bhaskar/.local/lib/python3.7/site-packages/tensorflow/python/client/session.py", line 1348, in _do_call raise type(e)(node_def, op, message) tensorflow.python.framework.errors_impl.InvalidArgumentError: Assign requires shapes of both tensors to match. lhs shape= [3,3,60,64] rhs shape= [3,3,30,64] [[node save/Assign_3 (defined at livox_rosdetection.py:64) ]]

Caused by op 'save/Assign_3', defined at: File "livox_rosdetection.py", line 321, in livox = Detector() File "livox_rosdetection.py", line 64, in init saver = tf.train.Saver() File "/home/bhaskar/.local/lib/python3.7/site-packages/tensorflow/python/training/saver.py", line 832, in init self.build() File "/home/bhaskar/.local/lib/python3.7/site-packages/tensorflow/python/training/saver.py", line 844, in build self._build(self._filename, build_save=True, build_restore=True) File "/home/bhaskar/.local/lib/python3.7/site-packages/tensorflow/python/training/saver.py", line 881, in _build build_save=build_save, build_restore=build_restore) File "/home/bhaskar/.local/lib/python3.7/site-packages/tensorflow/python/training/saver.py", line 513, in _build_internal restore_sequentially, reshape) File "/home/bhaskar/.local/lib/python3.7/site-packages/tensorflow/python/training/saver.py", line 354, in _AddRestoreOps assign_ops.append(saveable.restore(saveable_tensors, shapes)) File "/home/bhaskar/.local/lib/python3.7/site-packages/tensorflow/python/training/saving/saveable_object_util.py", line 73, in restore self.op.get_shape().is_fully_defined()) File "/home/bhaskar/.local/lib/python3.7/site-packages/tensorflow/python/ops/state_ops.py", line 223, in assign validate_shape=validate_shape) File "/home/bhaskar/.local/lib/python3.7/site-packages/tensorflow/python/ops/gen_state_ops.py", line 64, in assign use_locking=use_locking, name=name) File "/home/bhaskar/.local/lib/python3.7/site-packages/tensorflow/python/framework/op_def_library.py", line 788, in _apply_op_helper op_def=op_def) File "/home/bhaskar/.local/lib/python3.7/site-packages/tensorflow/python/util/deprecation.py", line 507, in new_func return func(*args, **kwargs) File "/home/bhaskar/.local/lib/python3.7/site-packages/tensorflow/python/framework/ops.py", line 3300, in create_op op_def=op_def) File "/home/bhaskar/.local/lib/python3.7/site-packages/tensorflow/python/framework/ops.py", line 1801, in init self._traceback = tf_stack.extract_stack()

InvalidArgumentError (see above for traceback): Assign requires shapes of both tensors to match. lhs shape= [3,3,60,64] rhs shape= [3,3,30,64] [[node save/Assign_3 (defined at livox_rosdetection.py:64) ]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "livox_rosdetection.py", line 321, in livox = Detector() File "livox_rosdetection.py", line 70, in init saver.restore(self.sess, cfg.MODEL_PATH) File "/home/bhaskar/.local/lib/python3.7/site-packages/tensorflow/python/training/saver.py", line 1312, in restore err, "a mismatch between the current graph and the graph") tensorflow.python.framework.errors_impl.InvalidArgumentError: Restoring from checkpoint failed. This is most likely due to a mismatch between the current graph and the graph from the checkpoint. Please ensure that you have not altered the graph expected based on the checkpoint. Original error:

Assign requires shapes of both tensors to match. lhs shape= [3,3,60,64] rhs shape= [3,3,30,64] [[node save/Assign_3 (defined at livox_rosdetection.py:64) ]]

Caused by op 'save/Assign_3', defined at: File "livox_rosdetection.py", line 321, in livox = Detector() File "livox_rosdetection.py", line 64, in init saver = tf.train.Saver() File "/home/bhaskar/.local/lib/python3.7/site-packages/tensorflow/python/training/saver.py", line 832, in init self.build() File "/home/bhaskar/.local/lib/python3.7/site-packages/tensorflow/python/training/saver.py", line 844, in build self._build(self._filename, build_save=True, build_restore=True) File "/home/bhaskar/.local/lib/python3.7/site-packages/tensorflow/python/training/saver.py", line 881, in _build build_save=build_save, build_restore=build_restore) File "/home/bhaskar/.local/lib/python3.7/site-packages/tensorflow/python/training/saver.py", line 513, in _build_internal restore_sequentially, reshape) File "/home/bhaskar/.local/lib/python3.7/site-packages/tensorflow/python/training/saver.py", line 354, in _AddRestoreOps assign_ops.append(saveable.restore(saveable_tensors, shapes)) File "/home/bhaskar/.local/lib/python3.7/site-packages/tensorflow/python/training/saving/saveable_object_util.py", line 73, in restore self.op.get_shape().is_fully_defined()) File "/home/bhaskar/.local/lib/python3.7/site-packages/tensorflow/python/ops/state_ops.py", line 223, in assign validate_shape=validate_shape) File "/home/bhaskar/.local/lib/python3.7/site-packages/tensorflow/python/ops/gen_state_ops.py", line 64, in assign use_locking=use_locking, name=name) File "/home/bhaskar/.local/lib/python3.7/site-packages/tensorflow/python/framework/op_def_library.py", line 788, in _apply_op_helper op_def=op_def) File "/home/bhaskar/.local/lib/python3.7/site-packages/tensorflow/python/util/deprecation.py", line 507, in new_func return func(*args, **kwargs) File "/home/bhaskar/.local/lib/python3.7/site-packages/tensorflow/python/framework/ops.py", line 3300, in create_op op_def=op_def) File "/home/bhaskar/.local/lib/python3.7/site-packages/tensorflow/python/framework/ops.py", line 1801, in init self._traceback = tf_stack.extract_stack()

InvalidArgumentError (see above for traceback): Restoring from checkpoint failed. This is most likely due to a mismatch between the current graph and the graph from the checkpoint. Please ensure that you have not altered the graph expected based on the checkpoint. Original error:

Assign requires shapes of both tensors to match. lhs shape= [3,3,60,64] rhs shape= [3,3,30,64] [[node save/Assign_3 (defined at livox_rosdetection.py:64) ]]