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_3364_3400'
In [3]:
film_obj = load_film_object(film_id)
scene_obj = film_obj.scene_object(scene_id)
scene_obj.print_context_clues()

*Plot Context*
Potential Other Locations: Counter({'building': 31, 'street': 10, 'sidewalk': 3})
Establishing Shot Locations: Counter({'building': 42})
Named Participants: Counter({'man 1': 1, 'maggie': 1})
Descriptors: ['outdoors', 'sitting']
Held Items: Counter({'blue face and a flower': 1, 'cup of coffee': 1, 'plate of food': 1})
Active Actions: Counter({'using': 3, 'making': 1})
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_3364_3400
Start Frame: 3364~75
End Frame: 3400~75
Scene Time: 00:56:04 - 00:56:40
Scene Runtime: 0:00:37

*Technical Details*
Aspect Ratio: 2.39
Avg. Shot Duration: 12.08
Avg. Brightness: 82
Avg. Contrast: 51

*Dialogue Cadence*
Sentences Per Minute: 24
Words Per Sentence 4.27
Questions Per Minute: 3.24
Pct. Questions: 13%

*Emotion*
Laughs Per Minute: 1.62
Profanity Per Minute: 1.62
Words Per Profanity: 64
Exclamations Per Minute: 1.62
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()