![]() ![]() 19:35:03, Info DISM DISM Provider Store: PID=4120 Getting Provider WimManager - CDISMProviderStore::GetProvider 19:35:03, Info DISM DISM.EXE: Succesfully registered commands for the provider: Compatibility Manager. 19:35:03, Info DISM DISM.EXE: Attempting to add the commands from provider: Compatibility Manager 19:35:03, Info DISM DISM.EXE: Attempting to add the commands from provider: DISM Log Provider 19:35:03, Info DISM DISM.EXE: Attempting to add the commands from provider: FolderManager 19:35:03, Info DISM DISM.EXE: Succesfully registered commands for the provider: WimManager. 19:35:03, Info DISM DISM.EXE: Attempting to add the commands from provider: WimManager Now enumerating them to build the command table. 19:35:03, Info DISM DISM.EXE: Got the collection of providers. 19:35:03, Info DISM DISM Provider Store: PID=4120 Connecting to the provider located at C:\windows\System32\Dism\CompatProvider.dll. ![]() 19:35:03, Info DISM DISM Provider Store: PID=4120 Loading Provider from location C:\windows\System32\Dism\CompatProvider.dll - CDISMProviderStore::Internal_GetProvider ![]() CDISMProviderStore::Internal_LoadProvider 19:35:03, Info DISM DISM Provider Store: PID=4120 Connecting to the provider located at C:\windows\System32\Dism\FolderProvider.dll. 19:35:03, Info DISM DISM Provider Store: PID=4120 Loading Provider from location C:\windows\System32\Dism\FolderProvider.dll - CDISMProviderStore::Internal_GetProvider ĬDISMProviderStore::Internal_LoadProvider 19:35:03, Info DISM DISM Provider Store: PID=4120 Connecting to the provider located at C:\windows\System32\Dism\WimProvider.dll. 19:35:03, Info DISM DISM Provider Store: PID=4120 Loading Provider from location C:\windows\System32\Dism\WimProvider.dll - CDISMProviderStore::Internal_GetProvider CDISMProviderStore::Internal_GetProvider 19:35:03, Info DISM DISM Provider Store: PID=4120 Provider has not previously been encountered. CDISMProviderStore::GetProviderCollection 19:35:03, Info DISM DISM Provider Store: PID=4120 Getting the collection of providers from a local provider store type. 19:35:03, Info DISM DISM.EXE: Executing command line: dism /mount-wim /wimfile:f:\install.wim /mountdir:f:\1 /index:1 19:35:03, Info DISM DISM.EXE: Host machine information: OS Version=, Running architecture=x86, Number of processors=2 19:35:03, Info DISM DISM Manager: PID=4120 Successfully created the local image session and provider store. 19:35:03, Info DISM DISM Provider Store: PID=4120 Provider has previously been initialized. 19:35:03, Info DISM DISM Provider Store: PID=4120 Getting Provider DISMLogger - CDISMProviderStore::GetProvider 19:35:03, Info DISM DISM Provider Store: PID=4120 Finished initializing the Provider Map. 19:35:03, Info DISM DISM Provider Store: PID=4120 Failed to get and initialize the PE Provider. CDISMProviderStore::Internal_InitializeLogger 19:35:03, Info DISM DISM Provider Store: PID=4120 Found and Initialized the DISM Logger. 19:35:03, Info DISM PID=4120 Successfully loaded the ImageSession at "C:\windows\System32\Dism" - CDISMManager::LoadImageSession > 106 for subdir in sorted(os.listdir(directory)):ġ07 if os.path.isdir(os.path.19:35:03, Info DISM PID=4120 Scratch directory set to 'C:\Users\ADMINI~1\AppData\Local\Temp\'. ~\anaconda3\lib\site-packages\keras_preprocessing\image\directory_iterator.py in _init_(self, directory, image_data_generator, target_size, color_mode, classes, class_mode, batch_size, shuffle, seed, data_format, save_to_dir, save_prefix, save_format, follow_links, subset, interpolation, dtype) ~\anaconda3\lib\site-packages\keras_preprocessing\image\image_data_generator.py in flow_from_directory(self, directory, target_size, color_mode, classes, class_mode, batch_size, shuffle, seed, save_to_dir, save_prefix, save_format, follow_links, subset, interpolation) Then the error would be like this : -įileNotFoundError Traceback (most recent call last)ġ1 # Since we use binary_crossentropy loss, we need binary labels # Since we use binary_crossentropy loss, we need binary labels Target_size=(300, 300), # All images will be resized to 150x150 '\\tmp\Train', # This is the source directory for training images Train_generator = train_datagen.flow_from_directory( # Flow training images in batches of 128 using train_datagen generator Train_datagen = ImageDataGenerator(rescale=1./255) I'm new in deep learning, and i want make image classification project for betta fish, but i got a problem with my code while i'm use gerator to read my image, someone could help me ? from import ImageDataGenerator ![]()
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