In [1]:
import sys
sys.path.append('../../../../')
import os
from moviegoer.tables import load_film_object, film_id_and_scene_id_from_scene_directory
In [2]:
film_id, scene_id = film_id_and_scene_id_from_scene_directory()
scene_id
Out[2]:
'd_1777_1821'
In [3]:
film_obj = load_film_object(film_id)
scene_obj = film_obj.scene_object(scene_id)
scene_obj.print_context_clues()

*Plot Context*
Context Themes: Counter({'work': 29})
Potential Common Locations: Counter({'office': 29})
Named Participants: Counter({'ha': 2, 'buddy': 1, 'flats': 1})
Descriptors: ['indoors', 'standing']
Held Items: Counter({'bottle of water': 1})
Active Actions: Counter({'pointing': 8})
Left Wearing: Counter({'suit': 47})
Right Wearing: Counter({'tie': 20, 'shirt': 4})
In [4]:
scene_obj.display_anchor_shots()
In [5]:
scene_obj.display_scene_frames_large()
In [6]:
scene_obj.print_info()

*Scene Information*
Scene ID: d_1777_1821
Start Frame: 1777~50
End Frame: 1821~25
Scene Time: 00:29:37 - 00:30:21
Scene Runtime: 0:00:44

*Technical Details*
Aspect Ratio: 2.39
Avg. Shot Duration: 9.78
Avg. Brightness: 88
Avg. Contrast: 48

*Dialogue Cadence*
Sentences Per Minute: 42
Words Per Sentence 5.06
Questions Per Minute: 6.70
Pct. Questions: 16%

*Emotion*
Laughs Per Minute: 0.00
Profanity Per Minute: 0.00
Words Per Profanity: 0
Exclamations Per Minute: 2.68
In [7]:
scene_obj.display_cutaway_shots()
In [8]:
scene_obj.display_qna_frames()
In [9]:
scene_obj.display_first_p_sentence_frames()
In [10]:
scene_obj.display_second_p_address_frames()
In [11]:
scene_obj.display_exclamations()
In [12]:
scene_obj.display_laughs()
Out[12]:
[]
In [13]:
scene_obj.display_unintelligible_language()
In [14]:
scene_obj.display_long_take_shots()
Out[14]:
[]
In [15]:
scene_obj.display_color_shots()