error message = 'no such file or directory'

Question

error message = 'no such file or directory'の治し方がわからない

SSD(keras/tensorflow)[1]を参考にSSDを実行しようと順を追っていったのですが，errが発生しました．
検索したり試行錯誤したりしましたが解決しません.
よろしくお願いします．

#Err内容
PS C:\Users\user> python C:/Users/user/Downloads/ssd_keras/testing_utils/videotest_example.py
Using TensorFlow backend.
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "BestSplits" device_type: "CPU"') for unknown op: BestSplits
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "CountExtremelyRandomStats" device_type: "CPU"') for unknown op: CountExtremelyRandomStats
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "FinishedNodes" device_type: "CPU"') for unknown op: FinishedNodes
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "GrowTree" device_type: "CPU"') for unknown op: GrowTree
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "ReinterpretStringToFloat" device_type: "CPU"') for unknown op: ReinterpretStringToFloat
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "SampleInputs" device_type: "CPU"') for unknown op: SampleInputs
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "ScatterAddNdim" device_type: "CPU"') for unknown op: ScatterAddNdim
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "TopNInsert" device_type: "CPU"') for unknown op: TopNInsert
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "TopNRemove" device_type: "CPU"') for unknown op: TopNRemove
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "TreePredictions" device_type: "CPU"') for unknown op: TreePredictions
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "UpdateFertileSlots" device_type: "CPU"') for unknown op: UpdateFertileSlots
Traceback (most recent call last):
File "C:/Users/user/Downloads/ssd_keras/testing_utils/videotest_example.py", line 18, in <module>
model.load_weights('../weights_SSD300.hdf5')
File "C:\Users\user\anaconda3\envs\SSD\lib\site-packages\keras\engine\topology.py", line 2702, in load_weights
f = h5py.File(filepath, mode='r')
File "C:\Users\user\anaconda3\envs\SSD\lib\site-packages\h5py_hl\files.py", line 271, in init
fid = make_fid(name, mode, userblock_size, fapl, swmr=swmr)
File "C:\Users\user\anaconda3\envs\SSD\lib\site-packages\h5py_hl\files.py", line 101, in make_fid
fid = h5f.open(name, flags, fapl=fapl)
File "h5py_objects.pyx", line 54, in h5py._objects.with_phil.wrapper (D:\Build\h5py\h5py-2.7.0\h5py_objects.c:2853)
File "h5py_objects.pyx", line 55, in h5py._objects.with_phil.wrapper (D:\Build\h5py\h5py-2.7.0\h5py_objects.c:2811)
File "h5py\h5f.pyx", line 78, in h5py.h5f.open (D:\Build\h5py\h5py-2.7.0\h5py\h5f.c:2130)
OSError: Unable to open file (Unable to open file: name = '../weights_ssd300.hdf5', errno = 2, error message = 'no such file or directory', flags = 0, o_flags = 0)

#解釈
最後の-OSError: Unable to open file (Unable to open file: name = '../weights_ssd300.hdf5', errno = 2, error message = 'no such file or directory', flags = 0, o_flags = 0) より
weights_ssd300.hdf5というデータの置き場所が悪いと解釈したのですが，最適な場所がわかりません．
#してみたこと

• weights_ssd300.hdf5ファイルを以下に示す位置において参照が正しくされるか試しました．

-- C:
-- C:/Users/user/Downloads/
-- C:/Users/user/Downloads/ssd_keras/
-- C:/Users/user/Downloads/ssd_keras/testing_utils/
-- C:/Users/user/anaconda3/
-- C:/Users/user/anaconda3/envs/SSD/Lib/site-packages/h5py/

• h5f.pyxの参照先を書き換える

h5f.pyxデータは見つからず,h5f.cp35-win_amd64.pydが見つかった．
開けない・書き換えれないでお手上げ．

参考文献

[1]SSD(Keras / TensorFlow)でディープラーニングによる動画の物体検出を行う
https://qiita.com/yampy/items/37c607fdf77a919cda5d

Answer 1

「 '../weights_ssd300.hdf5'」ということは、カレントディレクトリの１つ上の階層（フォルダ）に対象のファイルがあることを想定されているのですよね？
スクリプトファイルの保存場所とweights_ssd300.hdf5の保存場所の相対パスが間違っているかと思います。

Comments

[Gappoi-j]

ありがとうございます．解決しました．

Answer 2

videotest_example.py内にファイル指定する行があった．

import keras
import pickle
from videotest import VideoTest

import sys
sys.path.append("..")
from ssd import SSD300 as SSD

input_shape = (300,300,3)

# Change this if you run with other classes than VOC
class_names = ["background", "aeroplane", "bicycle", "bird", "boat", "bottle", "bus", "car", "cat", "chair", "cow", "diningtable", "dog", "horse", "motorbike", "person", "pottedplant", "sheep", "sofa", "train", "tvmonitor"];
NUM_CLASSES = len(class_names)

model = SSD(input_shape, num_classes=NUM_CLASSES)

# Change this path if you want to use your own trained weights
model.load_weights('../weights_SSD300.hdf5') 
        
vid_test = VideoTest(class_names, model, input_shape)

# To test on webcam 0, remove the parameter (or change it to another number
# to test on that webcam)
vid_test.run('C:/Users/user/Downloads/video.mp4')

model.load_weights('../weights_SSD300.hdf5')
↓
model.load_weights('C:/Users/user/Downloads/ssd_keras/testing_utils/weights_SSD300.hdf5')

errメッセージはしっかりと読むべきと反省した