Ubuntu Yolov3 训练新的模型后，加载新模型参数出错InvalidArgumentError: Assign requires shapes of both tensors to match

你的名字 2021-11-09 01:48 651阅读 0赞

# \--class\_name\_path ： 类名文件 #

# \--restore\_path ：加载训练完成的模型 #

# 把这两个文件替换成自己训练的文件夹 #

tensorflow.python.framework.errors\_impl.InvalidArgumentError: Assign requires shapes of both tensors to match. lhs shape= \[255\] rhs shape= \[45\]  
         \[\[Node: save/Assign\_290 = Assign\[T=DT\_FLOAT, \_class=\["loc:@yolov3/yolov3\_head/Conv\_14/biases"\], use\_locking=true, validate\_shape=true, \_device="/job:localhost/replica:0/task:0/device:GPU:0"\](yolov3/yolov3\_head/Conv\_14/biases, save/RestoreV2/\_581)\]\]

InvalidArgumentError (see above for traceback): Assign requires shapes of both tensors to match. lhs shape= \[255\] rhs shape= \[45\]  
         \[\[Node: save/Assign\_290 = Assign\[T=DT\_FLOAT, \_class=\["loc:@yolov3/yolov3\_head/Conv\_14/biases"\], use\_locking=true, validate\_shape=true, \_device="/job:localhost/replica:0/task:0/device:GPU:0"\](yolov3/yolov3\_head/Conv\_14/biases, save/RestoreV2/\_581)\]\]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):  
  File "test\_single\_image.py", line 63, in <module>  
    saver.restore(sess, args.restore\_path)  
  File "/gpfsssd/anacondas/ana1/anaconda/envs/env2/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1759, 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= \[255\] rhs shape= \[45\]  
         \[\[Node: save/Assign\_290 = Assign\[T=DT\_FLOAT, \_class=\["loc:@yolov3/yolov3\_head/Conv\_14/biases"\], use\_locking=true, validate\_shape=true, \_device="/job:localhost/replica:0/task:0/device:GPU:0"\](yolov3/yolov3\_head/Conv\_14/biases, save/RestoreV2/\_581)\]\]

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:

sh-4.2$ python test_single_image.py ./data/demo_data/messi.jpg
    /gpfsssd/anacondas/ana1/anaconda/envs/env2/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
      from ._conv import register_converters as _register_converters
    2019-08-05 12:20:00.624279: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
    2019-08-05 12:20:00.886501: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1405] Found device 0 with properties:
    name: Tesla P40 major: 6 minor: 1 memoryClockRate(GHz): 1.531
    pciBusID: 0000:2d:00.0
    totalMemory: 22.38GiB freeMemory: 22.22GiB
    2019-08-05 12:20:01.105373: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1405] Found device 1 with properties:
    name: Tesla P40 major: 6 minor: 1 memoryClockRate(GHz): 1.531
    pciBusID: 0000:31:00.0
    totalMemory: 22.38GiB freeMemory: 22.22GiB
    2019-08-05 12:20:01.329225: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1405] Found device 2 with properties:
    name: Tesla P40 major: 6 minor: 1 memoryClockRate(GHz): 1.531
    pciBusID: 0000:35:00.0
    totalMemory: 22.38GiB freeMemory: 22.22GiB
    2019-08-05 12:20:01.557915: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1405] Found device 3 with properties:
    name: Tesla P40 major: 6 minor: 1 memoryClockRate(GHz): 1.531
    pciBusID: 0000:39:00.0
    totalMemory: 22.38GiB freeMemory: 22.22GiB
    2019-08-05 12:20:01.567523: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1484] Adding visible gpu devices: 0, 1, 2, 3
    2019-08-05 12:20:03.119234: I tensorflow/core/common_runtime/gpu/gpu_device.cc:965] Device interconnect StreamExecutor with strength 1 edge matrix:
    2019-08-05 12:20:03.119281: I tensorflow/core/common_runtime/gpu/gpu_device.cc:971]      0 1 2 3
    2019-08-05 12:20:03.119293: I tensorflow/core/common_runtime/gpu/gpu_device.cc:984] 0:   N Y Y Y
    2019-08-05 12:20:03.119299: I tensorflow/core/common_runtime/gpu/gpu_device.cc:984] 1:   Y N Y Y
    2019-08-05 12:20:03.119305: I tensorflow/core/common_runtime/gpu/gpu_device.cc:984] 2:   Y Y N Y
    2019-08-05 12:20:03.119311: I tensorflow/core/common_runtime/gpu/gpu_device.cc:984] 3:   Y Y Y N
    2019-08-05 12:20:03.121385: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1097] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 21553 MB memory) -> physical GPU (device: 0, name: Tesla P40, pci bus id: 0000:2d:00.0, compute capability: 6.1)
    2019-08-05 12:20:03.364264: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1097] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:1 with 21553 MB memory) -> physical GPU (device: 1, name: Tesla P40, pci bus id: 0000:31:00.0, compute capability: 6.1)
    2019-08-05 12:20:03.607557: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1097] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:2 with 21553 MB memory) -> physical GPU (device: 2, name: Tesla P40, pci bus id: 0000:35:00.0, compute capability: 6.1)
    2019-08-05 12:20:03.850832: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1097] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:3 with 21553 MB memory) -> physical GPU (device: 3, name: Tesla P40, pci bus id: 0000:39:00.0, compute capability: 6.1)
    Traceback (most recent call last):
      File "/gpfsssd/anacondas/ana1/anaconda/envs/env2/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1278, in _do_call
        return fn(*args)
      File "/gpfsssd/anacondas/ana1/anaconda/envs/env2/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1263, in _run_fn
        options, feed_dict, fetch_list, target_list, run_metadata)
      File "/gpfsssd/anacondas/ana1/anaconda/envs/env2/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1350, in _call_tf_sessionrun
        run_metadata)
    tensorflow.python.framework.errors_impl.InvalidArgumentError: Assign requires shapes of both tensors to match. lhs shape= [255] rhs shape= [45]
             [[Node: save/Assign_290 = Assign[T=DT_FLOAT, _class=["loc:@yolov3/yolov3_head/Conv_14/biases"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/device:GPU:0"](yolov3/yolov3_head/Conv_14/biases, save/RestoreV2/_581)]]
    
    During handling of the above exception, another exception occurred:
    
    Traceback (most recent call last):
      File "/gpfsssd/anacondas/ana1/anaconda/envs/env2/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1725, in restore
        {self.saver_def.filename_tensor_name: save_path})
      File "/gpfsssd/anacondas/ana1/anaconda/envs/env2/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 877, in run
        run_metadata_ptr)
      File "/gpfsssd/anacondas/ana1/anaconda/envs/env2/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1100, in _run
        feed_dict_tensor, options, run_metadata)
      File "/gpfsssd/anacondas/ana1/anaconda/envs/env2/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1272, in _do_run
        run_metadata)
      File "/gpfsssd/anacondas/ana1/anaconda/envs/env2/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1291, 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= [255] rhs shape= [45]
             [[Node: save/Assign_290 = Assign[T=DT_FLOAT, _class=["loc:@yolov3/yolov3_head/Conv_14/biases"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/device:GPU:0"](yolov3/yolov3_head/Conv_14/biases, save/RestoreV2/_581)]]
    
    Caused by op 'save/Assign_290', defined at:
      File "test_single_image.py", line 62, in <module>
        saver = tf.train.Saver()
      File "/gpfsssd/anacondas/ana1/anaconda/envs/env2/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1281, in __init__
        self.build()
      File "/gpfsssd/anacondas/ana1/anaconda/envs/env2/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1293, in build
        self._build(self._filename, build_save=True, build_restore=True)
      File "/gpfsssd/anacondas/ana1/anaconda/envs/env2/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1330, in _build
        build_save=build_save, build_restore=build_restore)
      File "/gpfsssd/anacondas/ana1/anaconda/envs/env2/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 778, in _build_internal
        restore_sequentially, reshape)
      File "/gpfsssd/anacondas/ana1/anaconda/envs/env2/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 419, in _AddRestoreOps
        assign_ops.append(saveable.restore(saveable_tensors, shapes))
      File "/gpfsssd/anacondas/ana1/anaconda/envs/env2/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 112, in restore
        self.op.get_shape().is_fully_defined())
      File "/gpfsssd/anacondas/ana1/anaconda/envs/env2/lib/python3.6/site-packages/tensorflow/python/ops/state_ops.py", line 216, in assign
        validate_shape=validate_shape)
      File "/gpfsssd/anacondas/ana1/anaconda/envs/env2/lib/python3.6/site-packages/tensorflow/python/ops/gen_state_ops.py", line 60, in assign
        use_locking=use_locking, name=name)
      File "/gpfsssd/anacondas/ana1/anaconda/envs/env2/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper
        op_def=op_def)
      File "/gpfsssd/anacondas/ana1/anaconda/envs/env2/lib/python3.6/site-packages/tensorflow/python/util/deprecation.py", line 454, in new_func
        return func(*args, **kwargs)
      File "/gpfsssd/anacondas/ana1/anaconda/envs/env2/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3155, in create_op
        op_def=op_def)
      File "/gpfsssd/anacondas/ana1/anaconda/envs/env2/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1717, in __init__
        self._traceback = tf_stack.extract_stack()
    
    InvalidArgumentError (see above for traceback): Assign requires shapes of both tensors to match. lhs shape= [255] rhs shape= [45]
             [[Node: save/Assign_290 = Assign[T=DT_FLOAT, _class=["loc:@yolov3/yolov3_head/Conv_14/biases"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/device:GPU:0"](yolov3/yolov3_head/Conv_14/biases, save/RestoreV2/_581)]]
    
    
    During handling of the above exception, another exception occurred:
    
    Traceback (most recent call last):
      File "test_single_image.py", line 63, in <module>
        saver.restore(sess, args.restore_path)
      File "/gpfsssd/anacondas/ana1/anaconda/envs/env2/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1759, 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= [255] rhs shape= [45]
             [[Node: save/Assign_290 = Assign[T=DT_FLOAT, _class=["loc:@yolov3/yolov3_head/Conv_14/biases"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/device:GPU:0"](yolov3/yolov3_head/Conv_14/biases, save/RestoreV2/_581)]]
    
    Caused by op 'save/Assign_290', defined at:
      File "test_single_image.py", line 62, in <module>
        saver = tf.train.Saver()
      File "/gpfsssd/anacondas/ana1/anaconda/envs/env2/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1281, in __init__
        self.build()
      File "/gpfsssd/anacondas/ana1/anaconda/envs/env2/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1293, in build
        self._build(self._filename, build_save=True, build_restore=True)
      File "/gpfsssd/anacondas/ana1/anaconda/envs/env2/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1330, in _build
        build_save=build_save, build_restore=build_restore)
      File "/gpfsssd/anacondas/ana1/anaconda/envs/env2/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 778, in _build_internal
        restore_sequentially, reshape)
      File "/gpfsssd/anacondas/ana1/anaconda/envs/env2/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 419, in _AddRestoreOps
        assign_ops.append(saveable.restore(saveable_tensors, shapes))
      File "/gpfsssd/anacondas/ana1/anaconda/envs/env2/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 112, in restore
        self.op.get_shape().is_fully_defined())
      File "/gpfsssd/anacondas/ana1/anaconda/envs/env2/lib/python3.6/site-packages/tensorflow/python/ops/state_ops.py", line 216, in assign
        validate_shape=validate_shape)
      File "/gpfsssd/anacondas/ana1/anaconda/envs/env2/lib/python3.6/site-packages/tensorflow/python/ops/gen_state_ops.py", line 60, in assign
        use_locking=use_locking, name=name)
      File "/gpfsssd/anacondas/ana1/anaconda/envs/env2/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper
        op_def=op_def)
      File "/gpfsssd/anacondas/ana1/anaconda/envs/env2/lib/python3.6/site-packages/tensorflow/python/util/deprecation.py", line 454, in new_func
        return func(*args, **kwargs)
      File "/gpfsssd/anacondas/ana1/anaconda/envs/env2/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3155, in create_op
        op_def=op_def)
      File "/gpfsssd/anacondas/ana1/anaconda/envs/env2/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1717, 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= [255] rhs shape= [45]
             [[Node: save/Assign_290 = Assign[T=DT_FLOAT, _class=["loc:@yolov3/yolov3_head/Conv_14/biases"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/device:GPU:0"](yolov3/yolov3_head/Conv_14/biases, save/RestoreV2/_581)]]
    
    sh-4.2$

需要修改下的"--class\_name\_path"和"--restore\_path"，把它修改为自己的指导目录就可以啊

原来的类有80，自己训练的类只有10

导致“InvalidArgumentError: Assign requires shapes of both tensors to match. lhs shape= \[255\] rhs shape= \[45\]”

# \--class\_name\_path ： 类名文件 #

# \--restore\_path ：加载训练完成的模型 #

# 把这两个文件替换成自己训练的文件夹 #

# coding: utf-8
    
    from __future__ import division, print_function
    
    import tensorflow as tf
    import numpy as np
    import argparse
    import cv2
    import os
    #os.environ["TF_CPP_MIN_LOG_LEVEL"] = "2"
    #os.environ["CUDA_VISIBLE_DEVICES"] = "1"
    
    from utils.misc_utils import parse_anchors, read_class_names
    from utils.nms_utils import gpu_nms
    from utils.plot_utils import get_color_table, plot_one_box
    from utils.data_aug import letterbox_resize
    
    from model import yolov3
    
    parser = argparse.ArgumentParser(description="YOLO-V3 test single image test procedure.")
    parser.add_argument("input_image", type=str,
                        help="The path of the input image.")
    parser.add_argument("--anchor_path", type=str, default="./data/yolo_anchors.txt",
                        help="The path of the anchor txt file.")
    parser.add_argument("--new_size", nargs='*', type=int, default=[416, 416],
                        help="Resize the input image with `new_size`, size format: [width, height]")
    parser.add_argument("--letterbox_resize", type=lambda x: (str(x).lower() == 'true'), default=True,
                        help="Whether to use the letterbox resize.")
    parser.add_argument("--class_name_path", type=str, default="./data/coco.names",
                        help="The path of the class names.")
    parser.add_argument("--restore_path", type=str, default="./data/darknet_weights/yolov3.ckpt",
                        help="The path of the weights to restore.")
    args = parser.parse_args()
    
    args.anchors = parse_anchors(args.anchor_path)
    args.classes = read_class_names(args.class_name_path)
    args.num_class = len(args.classes)

修改为：

# coding: utf-8
    
    from __future__ import division, print_function
    
    import tensorflow as tf
    import numpy as np
    import argparse
    import cv2
    import os
    #os.environ["TF_CPP_MIN_LOG_LEVEL"] = "2"
    #os.environ["CUDA_VISIBLE_DEVICES"] = "1"
    
    from utils.misc_utils import parse_anchors, read_class_names
    from utils.nms_utils import gpu_nms
    from utils.plot_utils import get_color_table, plot_one_box
    from utils.data_aug import letterbox_resize
    
    from model import yolov3
    
    parser = argparse.ArgumentParser(description="YOLO-V3 test single image test procedure.")
    parser.add_argument("input_image", type=str,
                        help="The path of the input image.")
    parser.add_argument("--anchor_path", type=str, default="./data/yolo_anchors.txt",
                        help="The path of the anchor txt file.")
    parser.add_argument("--new_size", nargs='*', type=int, default=[416, 416],
                        help="Resize the input image with `new_size`, size format: [width, height]")
    parser.add_argument("--letterbox_resize", type=lambda x: (str(x).lower() == 'true'), default=True,
                        help="Whether to use the letterbox resize.")
    parser.add_argument("--class_name_path", type=str, default="./data/my_data/data.names",
                        help="The path of the class names.")
    parser.add_argument("--restore_path", type=str, default="./data/darknet_weights/best/best_model_Epoch_98_step_50291_mAP_0.7358_loss_3.6063_lr_1e-05",
                        help="The path of the weights to restore.")
    args = parser.parse_args()
    
    args.anchors = parse_anchors(args.anchor_path)
    args.classes = read_class_names(args.class_name_path)
    args.num_class = len(args.classes)

测试过程：

wu@wu-X555LF:~/YOLOv3_TensorFlow-master$ python test_image.py ./data/demo_data/3.jpg
    args.anchors = 9
    args.classes = 10
    args.num_class = 10
    2019-08-11 19:36:00.895402: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
    2019-08-11 19:36:00.996625: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:898] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
    2019-08-11 19:36:00.997081: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: 
    name: GeForce 930M major: 5 minor: 0 memoryClockRate(GHz): 0.941
    pciBusID: 0000:04:00.0
    totalMemory: 1.96GiB freeMemory: 1.82GiB
    2019-08-11 19:36:00.997103: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0
    2019-08-11 19:36:02.655906: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 1589 MB memory) -> physical GPU (device: 0, name: GeForce 930M, pci bus id: 0000:04:00.0, compute capability: 5.0)
    box coords:
    [[213.57828 192.19339 388.51526 374.2298 ]]
    ******************************
    scores:
    [0.4772138]
    ******************************
    labels:
    [1]

检测结果

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3d1a2FpMDkwOQ_size_16_color_FFFFFF_t_70][]![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3d1a2FpMDkwOQ_size_16_color_FFFFFF_t_70 1][]

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3d1a2FpMDkwOQ_size_16_color_FFFFFF_t_70 2][]

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3d1a2FpMDkwOQ_size_16_color_FFFFFF_t_70 3][]

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3d1a2FpMDkwOQ_size_16_color_FFFFFF_t_70 4][]

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