Фон:
- Windows 10
- Tensorflow 1.12
- CUDA 9.0
- CuDNN 7.4.2
- Python 3.6.8
- GTX 1080Ti
Я настроил все согласно официальному документу .Я также подтвердил свою установку как sentdex’s Youtube video, как упоминалось здесь .В Jupyter Notebook все в порядке.
Затем я копирую код в файл python, как показано ниже, где вносятся незначительные изменения, чтобы приспособиться к структуре проекта.
import sys
import os
import tensorflow as tf
from matplotlib import pyplot as plt
import numpy as np
from PIL import Image
sys.path.append("[path to program]\\models\\research\\")
sys.path.append("[path to program]\\models\\research\\object_detection\\utils")
from models.research.object_detection.utils import visualization_utils as vis_util
from models.research.object_detection.utils import ops as utils_ops
from models.research.object_detection.utils import label_map_util
def run_inference_for_single_image(image, graph):
(no any change here)
def load_image_into_numpy_array(image):
(no any change here)
category_index = label_map_util.create_category_index_from_labelmap('./images/labels/mscoco_label_map.pbtxt', use_display_name=True)
detection_graph = tf.Graph()
with detection_graph.as_default():
od_graph_def = tf.GraphDef()
with tf.gfile.GFile("./models/research/object_detection/ssd_mobilenet_v1_coco_2017_11_17/frozen_inference_graph.pb", 'rb') as fid:
serialized_graph = fid.read()
od_graph_def.ParseFromString(serialized_graph)
tf.import_graph_def(od_graph_def, name='')
images = os.listdir('./images')
for image_name in images:
image = Image.open('./images/' + image_name)
image_np = load_image_into_numpy_array(image)
image_np_expanded = np.expand_dims(image_np, axis=0)
output_dict = run_inference_for_single_image(image_np, detection_graph)
vis_util.visualize_boxes_and_labels_on_image_array(
image_np,
output_dict['detection_boxes'],
output_dict['detection_classes'],
output_dict['detection_scores'],
category_index,
instance_masks=output_dict.get('detection_masks'),
use_normalized_coordinates=True,
line_thickness=8)
plt.figure(figsize=(12, 8))
plt.imshow(image_np)
Однако, когдазапустите скрипт, используя python -m xxx, он показывает
2019-02-19 16:53:20.523470: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
2019-02-19 16:53:20.730182: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1432] Found device 0 with properties:
name: GeForce GTX 1080 Ti major: 6 minor: 1 memoryClockRate(GHz): 1.7085
pciBusID: 0000:01:00.0
totalMemory: 11.00GiB freeMemory: 9.10GiB
2019-02-19 16:53:20.734460: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0
2019-02-19 16:53:21.675377: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix:
2019-02-19 16:53:21.678080: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0
2019-02-19 16:53:21.679419: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N
2019-02-19 16:53:21.680882: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 8788 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1080 Ti, pci bus id: 0000:01:00.0, compute capability: 6.1)
2019-02-19 16:53:37.896876: E tensorflow/stream_executor/cuda/cuda_driver.cc:806] failed to allocate 8.58G (9215183360 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2019-02-19 16:53:42.648674: E tensorflow/stream_executor/cuda/cuda_driver.cc:806] failed to allocate 7.72G (8293664256 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2019-02-19 16:53:42.851675: E tensorflow/stream_executor/cuda/cuda_driver.cc:806] failed to allocate 6.95G (7464297472 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
2019-02-19 16:53:42.958418: E tensorflow/stream_executor/cuda/cuda_driver.cc:806] failed to allocate 6.26G (6717867520 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory
.... (skipping lots of lines)
2019-02-19 16:53:53.382786: W tensorflow/core/common_runtime/bfc_allocator.cc:271] <allocator contains no memory>
2019-02-19 16:53:53.384612: W tensorflow/core/framework/op_kernel.cc:1250] OP_REQUIRES failed at constant_op.cc:75 : Resource exhausted: OOM when allocating tensor of shape [1,1,512,273] and type float
2019-02-19 16:53:53.388753: E tensorflow/core/common_runtime/executor.cc:623] Executor failed to create kernel. Resource exhausted: OOM when allocating tensor of shape [1,1,512,273] and type float
[[{{node BoxPredictor_0/ClassPredictor/weights/read/_178__cf__181}} = Const[dtype=DT_FLOAT, value=Tensor<type: float shape: [1,1,512,273] values: [[[-0.00129073276 -0.00339978025 0.0160087105...]]]...>, _device="/job:localhost/replica:0/task:0/device:GPU:0"]()]]
Traceback (most recent call last):
File "d:\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 1334, in _do_call
return fn(*args)
File "d:\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 1319, in _run_fn
options, feed_dict, fetch_list, target_list, run_metadata)
File "d:\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 1407, in _call_tf_sessionrun
run_metadata)
tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor of shape [1,1,512,273] and type float
[[{{node BoxPredictor_0/ClassPredictor/weights/read/_178__cf__181}} = Const[dtype=DT_FLOAT, value=Tensor<type: float shape: [1,1,512,273] values: [[[-0.00129073276 -0.00339978025 0.0160087105...]]]...>, _device="/job:localhost/replica:0/task:0/device:GPU:0"]()]]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "d:\Anaconda3\lib\runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "d:\Anaconda3\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "D:\Project\Python\sudoku\detector\ssd_mobilenet_v1_coco.py", line 88, in <module>
output_dict = run_inference_for_single_image(image_np, detection_graph)
File "D:\Project\Python\sudoku\detector\ssd_mobilenet_v1_coco.py", line 49, in run_inference_for_single_image
feed_dict={image_tensor: np.expand_dims(image, 0)})
File "d:\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 929, in run
run_metadata_ptr)
File "d:\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 1152, in _run
feed_dict_tensor, options, run_metadata)
File "d:\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 1328, in _do_run
run_metadata)
File "d:\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 1348, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor of shape [1,1,512,273] and type float
[[node BoxPredictor_0/ClassPredictor/weights/read/_178__cf__181 (defined at D:\Project\Python\sudoku\detector\ssd_mobilenet_v1_coco.py:77) = Const[dtype=DT_FLOAT, value=Tensor<type: float shape: [1,1,512,273] values: [[[-0.00129073276 -0.00339978025 0.0160087105...]]]...>, _device="/job:localhost/replica:0/task:0/device:GPU:0"]()]]
Caused by op 'BoxPredictor_0/ClassPredictor/weights/read/_178__cf__181', defined at:
File "d:\Anaconda3\lib\runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "d:\Anaconda3\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "D:\Project\Python\sudoku\detector\ssd_mobilenet_v1_coco.py", line 77, in <module>
tf.import_graph_def(od_graph_def, name='')
File "d:\Anaconda3\lib\site-packages\tensorflow\python\util\deprecation.py", line 488, in new_func
return func(*args, **kwargs)
File "d:\Anaconda3\lib\site-packages\tensorflow\python\framework\importer.py", line 442, in import_graph_def
_ProcessNewOps(graph)
File "d:\Anaconda3\lib\site-packages\tensorflow\python\framework\importer.py", line 234, in _ProcessNewOps
for new_op in graph._add_new_tf_operations(compute_devices=False): # pylint: disable=protected-access
File "d:\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 3440, in _add_new_tf_operations
for c_op in c_api_util.new_tf_operations(self)
File "d:\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 3440, in <listcomp>
for c_op in c_api_util.new_tf_operations(self)
File "d:\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 3299, in _create_op_from_tf_operation
ret = Operation(c_op, self)
File "d:\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 1770, in __init__
self._traceback = tf_stack.extract_stack()
ResourceExhaustedError (see above for traceback): OOM when allocating tensor of shape [1,1,512,273] and type float
[[node BoxPredictor_0/ClassPredictor/weights/read/_178__cf__181 (defined at D:\Project\Python\sudoku\detector\ssd_mobilenet_v1_coco.py:77) = Const[dtype=DT_FLOAT, value=Tensor<type: float shape: [1,1,512,273] values: [[[-0.00129073276 -0.00339978025 0.0160087105...]]]...>, _device="/job:localhost/replica:0/task:0/device:GPU:0"]()]]
В чем проблема?