Dear Krish,

I tried to run the code as it is.

I am getting error in fit_generator step. Please find below trace.

2021-07-04 15:54:42.489907: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cudart64_110.dll'; dlerror: cudart64_110.dll not found
2021-07-04 15:54:42.490746: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
2021-07-04 15:54:51.556323: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'nvcuda.dll'; dlerror: nvcuda.dll not found
2021-07-04 15:54:51.557099: W tensorflow/stream_executor/cuda/cuda_driver.cc:269] failed call to cuInit: UNKNOWN ERROR (303)
2021-07-04 15:54:51.566182: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:169] retrieving CUDA diagnostic information for host: NT00142
2021-07-04 15:54:51.566741: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:176] hostname: NT00142
2021-07-04 15:54:51.573530: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX AVX2
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
Model: "model"

Layer (type) Output Shape Param #

input_1 (InputLayer) [(None, 224, 224, 3)] 0

block1_conv1 (Conv2D) (None, 224, 224, 64) 1792

block1_conv2 (Conv2D) (None, 224, 224, 64) 36928

block1_pool (MaxPooling2D) (None, 112, 112, 64) 0

block2_conv1 (Conv2D) (None, 112, 112, 128) 73856

block2_conv2 (Conv2D) (None, 112, 112, 128) 147584

block2_pool (MaxPooling2D) (None, 56, 56, 128) 0

block3_conv1 (Conv2D) (None, 56, 56, 256) 295168

block3_conv2 (Conv2D) (None, 56, 56, 256) 590080

block3_conv3 (Conv2D) (None, 56, 56, 256) 590080

block3_pool (MaxPooling2D) (None, 28, 28, 256) 0

block4_conv1 (Conv2D) (None, 28, 28, 512) 1180160

block4_conv2 (Conv2D) (None, 28, 28, 512) 2359808

block4_conv3 (Conv2D) (None, 28, 28, 512) 2359808

block4_pool (MaxPooling2D) (None, 14, 14, 512) 0

block5_conv1 (Conv2D) (None, 14, 14, 512) 2359808

block5_conv2 (Conv2D) (None, 14, 14, 512) 2359808

block5_conv3 (Conv2D) (None, 14, 14, 512) 2359808

block5_pool (MaxPooling2D) (None, 7, 7, 512) 0

flatten (Flatten) (None, 25088) 0

dense (Dense) (None, 1) 25089

Total params: 14,739,777
Trainable params: 25,089
Non-trainable params: 14,714,688

Found 25 images belonging to 1 classes.
Found 10 images belonging to 1 classes.
C:\Users\schoudhary\AppData\Local\Programs\Python\Python38\lib\site-packages\keras\engine\training.py:1977: UserWarning: Model.fit_generator is deprecated and will be removed in a future version. Please use Model.fit, which supports generators.
warnings.warn('Model.fit_generator is deprecated and '
Traceback (most recent call last):
File "C:/SmartGate/SGAPP/Deep-Learning-Face-Recognition-master/Deep-Learning-Face-Recognition-master/face_Recognition.py", line 84, in
r = model.fit_generator(
File "C:\Users\schoudhary\AppData\Local\Programs\Python\Python38\lib\site-packages\keras\engine\training.py", line 1980, in fit_generator
return self.fit(
File "C:\Users\schoudhary\AppData\Local\Programs\Python\Python38\lib\site-packages\keras\engine\training.py", line 1139, in fit
data_handler = data_adapter.get_data_handler(
File "C:\Users\schoudhary\AppData\Local\Programs\Python\Python38\lib\site-packages\keras\engine\data_adapter.py", line 1383, in get_data_handler
return DataHandler(*args, **kwargs)
File "C:\Users\schoudhary\AppData\Local\Programs\Python\Python38\lib\site-packages\keras\engine\data_adapter.py", line 1138, in init
self._adapter = adapter_cls(
File "C:\Users\schoudhary\AppData\Local\Programs\Python\Python38\lib\site-packages\keras\engine\data_adapter.py", line 917, in init
super(KerasSequenceAdapter, self).init(
File "C:\Users\schoudhary\AppData\Local\Programs\Python\Python38\lib\site-packages\keras\engine\data_adapter.py", line 794, in init
peek, x = self._peek_and_restore(x)
File "C:\Users\schoudhary\AppData\Local\Programs\Python\Python38\lib\site-packages\keras\engine\data_adapter.py", line 928, in _peek_and_restore
return x[0], x
File "C:\Users\schoudhary\AppData\Local\Programs\Python\Python38\lib\site-packages\keras_preprocessing\image\iterator.py", line 65, in getitem
return self._get_batches_of_transformed_samples(index_array)
File "C:\Users\schoudhary\AppData\Local\Programs\Python\Python38\lib\site-packages\keras_preprocessing\image\iterator.py", line 231, in _get_batches_of_transformed_samples
x = img_to_array(img, data_format=self.data_format)
File "C:\Users\schoudhary\AppData\Local\Programs\Python\Python38\lib\site-packages\keras_preprocessing\image\utils.py", line 309, in img_to_array
x = np.asarray(img, dtype=dtype)
File "C:\Users\schoudhary\AppData\Local\Programs\Python\Python38\lib\site-packages\numpy\core_asarray.py", line 83, in asarray
return array(a, dtype, copy=False, order=order)
TypeError: array() takes 1 positional argument but 2 were given