Formation of the neural network architecture of the model and downloading its weights to obtain features / scores based on deep features (video modality)

---

• _b5s.video_model_nn_ - Neural network model tf.keras.Model for obtaining features / scores by deep features

Import required packages

from oceanai.modules.lab.build import Run

Build

_b5 = Run(
    lang = 'en', # Inference language
    color_simple = '#333', # Plain text color (hexadecimal code)
    color_info = '#1776D2', # The color of the text containing the information (hexadecimal code)
    color_err = '#FF0000', # Error text color (hexadecimal code)
    color_true = '#008001', # Text color containing positive information (hexadecimal code)
    bold_text = True, # Bold text
    num_to_df_display = 30, # Number of rows to display in tables
    text_runtime = 'Runtime', # Runtime text
    metadata = True # Displaying information about library
)

[2023-12-10 17:12:11] OCEANAI - personality traits:    Authors:        Elena Ryumina [ryumina_ev@mail.ru]        Dmitry Ryumin [dl_03.03.1991@mail.ru]        Alexey Karpov [karpov@iias.spb.su]    Maintainers:        Elena Ryumina [ryumina_ev@mail.ru]        Dmitry Ryumin [dl_03.03.1991@mail.ru]    Version: 1.0.0a5    License: BSD License

Formation of the neural network architecture of the model (FI V2)

res_load_video_model_nn = _b5.load_video_model_nn(
    show_summary = False, # Displaying the formed neural network architecture of the model
    out = True, # Display
    runtime = True, # Runtime count
    run = True # Run blocking
)

[2022-12-11 14:41:16] Formation of a neural network architecture for obtaining scores by deep features (video modality) …

— Runtime: 1.559 sec. —

Downloading the weights of the neural network model

# Core settings
_b5.path_to_save_ = './models' # Directory to save the file
_b5.chunk_size_ = 2000000 # File download size from network in 1 step

url = _b5.weights_for_big5_['video']['fi']['nn']['sberdisk']

res_load_video_model_weights_nn = _b5.load_video_model_weights_nn(
    url = url, # Full path to the file with weights of the neural network model
    force_reload = True, # Forced download of a file with weights of a neural network model from the network
    out = True, # Display
    runtime = True, # Runtime count
    run = True # Run blocking
)

[2023-12-10 17:12:13] Downloading the weights of the neural network model to obtain scores by deep features (video modality) …

[2023-12-10 17:12:14] File download “weights_2022-03-22_16-31-48.h5” (100.0%) …

— Runtime: 1.053 sec. —

Displaying the formed neural network architecture of the model

_b5.video_model_nn_.summary()

Model: "model_1"
_________________________________________________________________
 Layer (type)                Output Shape              Param #
=================================================================
 input_1 (InputLayer)        [(None, 10, 512)]         0

 lstm_1024_v_nn (LSTM)       (None, 1024)              6295552

 dropout (Dropout)           (None, 1024)              0

 dense (Dense)               (None, 5)                 5125

 activation (Activation)     (None, 5)                 0

=================================================================
Total params: 6,300,677
Trainable params: 6,300,677
Non-trainable params: 0
_________________________________________________________________