Tensorflow对象检测API无效参数:元组组件16中的形状不匹配。预期[1,?,3],得到[1182322,4]

这是来自的后续问题 this Github issue . 长话短说,我尝试将Tensorflow对象检测API用于我自己的数据集。一切正常,直到突然崩溃,出现以下错误消息:

...
INFO:tensorflow:global step 10635: loss = 0.3392 (0.822 sec/step)
INFO:tensorflow:global step 10636: loss = 0.3529 (0.823 sec/step)
INFO:tensorflow:global step 10637: loss = 0.3305 (0.831 sec/step)
2017-09-14 20:02:02.545415: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Invalid argument: Shape mismatch in tuple component 16. Expected [1,?,?,3], got [1,240,127,4]
INFO:tensorflow:Error reported to Coordinator: <class 'tensorflow.python.framework.errors_impl.InvalidArgumentError'>, Shape mismatch in tuple component 16. Expected [1,?,?,3], got [1,240,127,4]
         [[Node: batch/padding_fifo_queue_enqueue = QueueEnqueueV2[Tcomponents=[DT_STRING, DT_INT32, DT_FLOAT, DT_INT32, DT_FLOAT, DT_INT32, DT_INT64, DT_INT32, DT_INT64, DT_INT32, DT_INT64, DT_INT32, DT_BOOL, DT_INT32, DT_BOOL, DT_INT32, DT_FLOAT, DT_INT32, DT_STRING, DT_INT32, DT_STRING, DT_INT32], timeout_ms=-1, _device="/job:localhost/replica:0/task:0/cpu:0"](batch/padding_fifo_queue, Reshape_2, Shape_5, SparseToDense_1, Shape_2, Merge_1, Shape, Merge_2, Shape_3, SparseToDense_5, Shape_8, SparseToDense_3, Shape_6, Cast_1, Shape_1, Cast_2, Shape_7, ExpandDims_5, Shape_4, Reshape_5, Shape_10, Reshape_6, Shape_9)]]
INFO:tensorflow:global step 10638: loss = 0.3599 (0.858 sec/step)
INFO:tensorflow:Finished training! Saving model to disk.
Traceback (most recent call last):
  File "train.py", line 198, in <module>
    tf.app.run()
  File "C:\Users\Master\Anaconda3\envs\anaconda35\lib\site-packages\tensorflow\python\platform\app.py", line 48, in run
    _sys.exit(main(_sys.argv[:1] + flags_passthrough))
  File "train.py", line 194, in main
    worker_job_name, is_chief, FLAGS.train_dir)
  File "C:\Users\Master\Anaconda3\envs\anaconda35\lib\site-packages\object_detection-0.1-py3.5.egg\object_detection\trainer.py", line 296, in train
    saver=saver)
  File "C:\Users\Master\Anaconda3\envs\anaconda35\lib\site-packages\tensorflow\contrib\slim\python\slim\learning.py", line 767, in train
    sv.stop(threads, close_summary_writer=True)
  File "C:\Users\Master\Anaconda3\envs\anaconda35\lib\site-packages\tensorflow\python\training\supervisor.py", line 792, in stop
    stop_grace_period_secs=self._stop_grace_secs)
  File "C:\Users\Master\Anaconda3\envs\anaconda35\lib\site-packages\tensorflow\python\training\coordinator.py", line 389, in join
    six.reraise(*self._exc_info_to_raise)
  File "C:\Users\Master\Anaconda3\envs\anaconda35\lib\site-packages\six.py", line 686, in reraise
    raise value
  File "C:\Users\Master\Anaconda3\envs\anaconda35\lib\site-packages\tensorflow\python\training\queue_runner_impl.py", line 238, in _run
    enqueue_callable()
  File "C:\Users\Master\Anaconda3\envs\anaconda35\lib\site-packages\tensorflow\python\client\session.py", line 1235, in _single_operation_run
    target_list_as_strings, status, None)
  File "C:\Users\Master\Anaconda3\envs\anaconda35\Lib\contextlib.py", line 66, in __exit__
    next(self.gen)
  File "C:\Users\Master\Anaconda3\envs\anaconda35\lib\site-packages\tensorflow\python\framework\errors_impl.py", line 466, in raise_exception_on_not_ok_status
    pywrap_tensorflow.TF_GetCode(status))
tensorflow.python.framework.errors_impl.InvalidArgumentError: Shape mismatch in tuple component 16. Expected [1,?,?,3], got [1,240,127,4]
         [[Node: batch/padding_fifo_queue_enqueue = QueueEnqueueV2[Tcomponents=[DT_STRING, DT_INT32, DT_FLOAT, DT_INT32, DT_FLOAT, DT_INT32, DT_INT64, DT_INT32, DT_INT64, DT_INT32, DT_INT64, DT_INT32, DT_BOOL, DT_INT32, DT_BOOL, DT_INT32, DT_FLOAT, DT_INT32, DT_STRING, DT_INT32, DT_STRING, DT_INT32], timeout_ms=-1, _device="/job:localhost/replica:0/task:0/cpu:0"](batch/padding_fifo_queue, Reshape_2, Shape_5, SparseToDense_1, Shape_2, Merge_1, Shape, Merge_2, Shape_3, SparseToDense_5, Shape_8, SparseToDense_3, Shape_6, Cast_1, Shape_1, Cast_2, Shape_7, ExpandDims_5, Shape_4, Reshape_5, Shape_10, Reshape_6, Shape_9)]]

G:\Tensorflow_section\models-master\object_detection>

起初我认为我的数据集中可能有一些不一致的图像,即有一些PNG保存为JPG,反之亦然,所以我去扫描数据集中的所有图像并修复了它们。我使用了以下方法来完成这样的任务:

private string CheckImagetype(Stream stream)
{
    string jpg = "FFD8";
    string bmp = "424D" ;
    string gif = "474946" ;
    string png = "89504E470D0A1A0A" ;
    string sig = "";

    stream.Seek(0, SeekOrigin.Begin);
    for (int i = 0; i < 8; i++)
    {
        sig += stream.ReadByte().ToString("X2");
        if (sig.Length == 4 && sig == jpg)
        {
            sig = "jpg";
            break;
        }
        else if(sig.Length == 4 && sig == bmp)
        {
            sig = "bmp";
            break;
        }
        else if (sig.Length == 6 && sig == gif)
        {
            sig = "gif";
            break;
        }
        else if (sig.Length == 16 && sig == png)
        {
            sig = "png";
            break;
        }
    }
    return sig;
}

然后我使用 EmguCV TFRecord 然后开始了新的训练课程。

这是我再次得到的:

INFO:tensorflow:global step 1286: loss = 0.3639 (0.721 sec/step)
INFO:tensorflow:global step 1287: loss = 0.3752 (0.735 sec/step)
INFO:tensorflow:global step 1288: loss = 0.5850 (0.720 sec/step)
2017-09-16 00:11:15.037646: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Invalid argument: Shape mismatch in tuple component 16. Expected [1,?,?,3], got [1,150,178,4]
INFO:tensorflow:Error reported to Coordinator: <class 'tensorflow.python.framework.errors_impl.InvalidArgumentError'>, Shape mismatch in tuple component 16. Expected [1,?,?,3], got [1,150,178,4]
         [[Node: batch/padding_fifo_queue_enqueue = QueueEnqueueV2[Tcomponents=[DT_STRING, DT_INT32, DT_FLOAT, DT_INT32, DT_FLOAT, DT_INT32, DT_INT64, DT_INT32, DT_INT64, DT_INT32, DT_INT64, DT_INT32, DT_BOOL, DT_INT32, DT_BOOL, DT_INT32, DT_FLOAT, DT_INT32, DT_STRING, DT_INT32, DT_STRING, DT_INT32], timeout_ms=-1, _device="/job:localhost/replica:0/task:0/cpu:0"](batch/padding_fifo_queue, Reshape_2, Shape, SparseToDense, Shape_1, Merge_1, Shape_10, Merge_2, Shape_2, SparseToDense_5, Shape_8, SparseToDense_2, Shape_7, Cast_1, Shape_6, Cast_2, Shape_4, ExpandDims_5, Shape_3, Reshape_5, Shape_5, Reshape_6, Shape_9)]]
INFO:tensorflow:global step 1289: loss = 0.4018 (0.781 sec/step)
INFO:tensorflow:Finished training! Saving model to disk.
Traceback (most recent call last):
  File "train.py", line 198, in <module>
    tf.app.run()
  File "C:\Users\Master\Anaconda3\envs\anaconda35\lib\site-packages\tensorflow\python\platform\app.py", line 48, in run
    _sys.exit(main(_sys.argv[:1] + flags_passthrough))
  File "train.py", line 194, in main
    worker_job_name, is_chief, FLAGS.train_dir)
  File "C:\Users\Master\Anaconda3\envs\anaconda35\lib\site-packages\object_detection-0.1-py3.5.egg\object_detection\trainer.py", line 296, in train
    saver=saver)
  File "C:\Users\Master\Anaconda3\envs\anaconda35\lib\site-packages\tensorflow\contrib\slim\python\slim\learning.py", line 767, in train
    sv.stop(threads, close_summary_writer=True)
  File "C:\Users\Master\Anaconda3\envs\anaconda35\lib\site-packages\tensorflow\python\training\supervisor.py", line 792, in stop
    stop_grace_period_secs=self._stop_grace_secs)
  File "C:\Users\Master\Anaconda3\envs\anaconda35\lib\site-packages\tensorflow\python\training\coordinator.py", line 389, in join
    six.reraise(*self._exc_info_to_raise)
  File "C:\Users\Master\Anaconda3\envs\anaconda35\lib\site-packages\six.py", line 686, in reraise
    raise value
  File "C:\Users\Master\Anaconda3\envs\anaconda35\lib\site-packages\tensorflow\python\training\queue_runner_impl.py", line 238, in _run
    enqueue_callable()
  File "C:\Users\Master\Anaconda3\envs\anaconda35\lib\site-packages\tensorflow\python\client\session.py", line 1235, in _single_operation_run
    target_list_as_strings, status, None)
  File "C:\Users\Master\Anaconda3\envs\anaconda35\Lib\contextlib.py", line 66, in __exit__
    next(self.gen)
  File "C:\Users\Master\Anaconda3\envs\anaconda35\lib\site-packages\tensorflow\python\framework\errors_impl.py", line 466, in raise_exception_on_not_ok_status
    pywrap_tensorflow.TF_GetCode(status))
tensorflow.python.framework.errors_impl.InvalidArgumentError: Shape mismatch in tuple component 16. Expected [1,?,?,3], got [1,150,178,4]
         [[Node: batch/padding_fifo_queue_enqueue = QueueEnqueueV2[Tcomponents=[DT_STRING, DT_INT32, DT_FLOAT, DT_INT32, DT_FLOAT, DT_INT32, DT_INT64, DT_INT32, DT_INT64, DT_INT32, DT_INT64, DT_INT32, DT_BOOL, DT_INT32, DT_BOOL, DT_INT32, DT_FLOAT, DT_INT32, DT_STRING, DT_INT32, DT_STRING, DT_INT32], timeout_ms=-1, _device="/job:localhost/replica:0/task:0/cpu:0"](batch/padding_fifo_queue, Reshape_2, Shape, SparseToDense, Shape_1, Merge_1, Shape_10, Merge_2, Shape_2, SparseToDense_5, Shape_8, SparseToDense_2, Shape_7, Cast_1, Shape_6, Cast_2, Shape_4, ExpandDims_5, Shape_3, Reshape_5, Shape_5, Reshape_6, Shape_9)]]

G:\Tensorflow_section\models-master\object_detection>

我使用了我的图像的随机子集(10K图像而不是300K图像),再次得到了相同的错误:

INFO:tensorflow:global step 2316: loss = 0.6428 (2.192 sec/step)
INFO:tensorflow:Recording summary at step 2316.
INFO:tensorflow:global step 2317: loss = 0.4036 (1.444 sec/step)
INFO:tensorflow:global step 2318: loss = 0.4111 (1.343 sec/step)
INFO:tensorflow:global step 2319: loss = 0.3914 (1.351 sec/step)
INFO:tensorflow:global step 2320: loss = 0.3794 (1.376 sec/step)
INFO:tensorflow:global step 2321: loss = 0.4056 (1.340 sec/step)
2017-09-16 20:03:42.148318: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\framework\op_kernel.cc:1192] Invalid argument: Shape mismatch in tuple component 16. Expected [1,?,?,3], got [1,182,322,4]
INFO:tensorflow:Error reported to Coordinator: <class 'tensorflow.python.framework.errors_impl.InvalidArgumentError'>, Shape mismatch in tuple component 16. Expected [1,?,?,3], got [1,182,322,4]
         [[Node: batch/padding_fifo_queue_enqueue = QueueEnqueueV2[Tcomponents=[DT_STRING, DT_INT32, DT_FLOAT, DT_INT32, DT_FLOAT, DT_INT32, DT_INT64, DT_INT32, DT_INT64, DT_INT32, DT_INT64, DT_INT32, DT_BOOL, DT_INT32, DT_BOOL, DT_INT32, DT_FLOAT, DT_INT32, DT_STRING, DT_INT32, DT_STRING, DT_INT32], timeout_ms=-1, _device="/job:localhost/replica:0/task:0/cpu:0"](batch/padding_fifo_queue, Reshape_2, Shape_1, SparseToDense_2, Shape_7, Merge_1, Shape_2, Merge_2, Shape_8, SparseToDense, Shape_6, SparseToDense_5, Shape_10, Cast_1, Shape_4, Cast_2, Shape_9, ExpandDims_5, Shape_5, Reshape_5, Shape, Reshape_6, Shape_3)]]
INFO:tensorflow:global step 2322: loss = 0.4787 (1.391 sec/step)
INFO:tensorflow:Finished training! Saving model to disk.
Traceback (most recent call last):
  File "train.py", line 198, in <module>
    tf.app.run()
  File "C:\Users\Master\Anaconda3\envs\anaconda35\lib\site-packages\tensorflow\python\platform\app.py", line 48, in run
    _sys.exit(main(_sys.argv[:1] + flags_passthrough))
  File "train.py", line 194, in main
    worker_job_name, is_chief, FLAGS.train_dir)
  File "C:\Users\Master\Anaconda3\envs\anaconda35\lib\site-packages\object_detection-0.1-py3.5.egg\object_detection\trainer.py", line 296, in train
    saver=saver)
  File "C:\Users\Master\Anaconda3\envs\anaconda35\lib\site-packages\tensorflow\contrib\slim\python\slim\learning.py", line 767, in train
    sv.stop(threads, close_summary_writer=True)
  File "C:\Users\Master\Anaconda3\envs\anaconda35\lib\site-packages\tensorflow\python\training\supervisor.py", line 792, in stop
    stop_grace_period_secs=self._stop_grace_secs)
  File "C:\Users\Master\Anaconda3\envs\anaconda35\lib\site-packages\tensorflow\python\training\coordinator.py", line 389, in join
    six.reraise(*self._exc_info_to_raise)
  File "C:\Users\Master\Anaconda3\envs\anaconda35\lib\site-packages\six.py", line 686, in reraise
    raise value
  File "C:\Users\Master\Anaconda3\envs\anaconda35\lib\site-packages\tensorflow\python\training\queue_runner_impl.py", line 238, in _run
    enqueue_callable()
  File "C:\Users\Master\Anaconda3\envs\anaconda35\lib\site-packages\tensorflow\python\client\session.py", line 1235, in _single_operation_run
    target_list_as_strings, status, None)
  File "C:\Users\Master\Anaconda3\envs\anaconda35\Lib\contextlib.py", line 66, in __exit__
    next(self.gen)
  File "C:\Users\Master\Anaconda3\envs\anaconda35\lib\site-packages\tensorflow\python\framework\errors_impl.py", line 466, in raise_exception_on_not_ok_status
    pywrap_tensorflow.TF_GetCode(status))
tensorflow.python.framework.errors_impl.InvalidArgumentError: Shape mismatch in tuple component 16. Expected [1,?,?,3], got [1,182,322,4]
         [[Node: batch/padding_fifo_queue_enqueue = QueueEnqueueV2[Tcomponents=[DT_STRING, DT_INT32, DT_FLOAT, DT_INT32, DT_FLOAT, DT_INT32, DT_INT64, DT_INT32, DT_INT64, DT_INT32, DT_INT64, DT_INT32, DT_BOOL, DT_INT32, DT_BOOL, DT_INT32, DT_FLOAT, DT_INT32, DT_STRING, DT_INT32, DT_STRING, DT_INT32], timeout_ms=-1, _device="/job:localhost/replica:0/task:0/cpu:0"](batch/padding_fifo_queue, Reshape_2, Shape_1, SparseToDense_2, Shape_7, Merge_1, Shape_2, Merge_2, Shape_8, SparseToDense, Shape_6, SparseToDense_5, Shape_10, Cast_1, Shape_4, Cast_2, Shape_9, ExpandDims_5, Shape_5, Reshape_5, Shape, Reshape_6, Shape_3)]]

G:\Tensorflow_section\models-master\object_detection>

以下是一些补充信息:

• Windows 10 x64 1703, Build 15063.540
• TensorFlow安装自(源或二进制): binary (used pip install )
• 1.3.0
• Python版本: 3.5.3
• CUDA/cuDNN版本: Cuda 8.0 /cudnn v6.0
• GTX-1080 - 8G