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]:
't_4103_4143'
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({'aquatic': 148, 'animal': 1})
Potential Common Locations: Counter({'beach': 147})
Named Participants: Counter({'brandy': 1})
Descriptors: ['outdoors', 'walking']
Held Items: Counter({'hands': 9})
Active Actions: Counter({'running': 4, 'pick': 2, 'playing': 2, 'bending': 1, 'splashing': 1, 'swimming': 1})
In [4]:
scene_obj.display_anchor_shots()
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In [5]:
scene_obj.display_scene_frames_large()
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In [6]:
scene_obj.print_info()

*Scene Information*
Scene ID: t_4103_4143
Start Frame: 4103~00
End Frame: 4143~25
Scene Time: 01:08:23 - 01:09:03
Scene Runtime: 0:00:41

*Technical Details*
Aspect Ratio: 2.39
Avg. Shot Duration: 16.20
Avg. Brightness: 124
Avg. Contrast: 38

*Dialogue Cadence*
Sentences Per Minute: 20
Words Per Sentence 3.86
Questions Per Minute: 2.91
Pct. Questions: 14%

*Emotion*
Laughs Per Minute: 0.00
Profanity Per Minute: 0.00
Words Per Profanity: 0
Exclamations Per Minute: 1.45
In [7]:
scene_obj.display_cutaway_shots()
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In [8]:
scene_obj.display_qna_frames()
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In [9]:
scene_obj.display_first_p_sentence_frames()
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In [10]:
scene_obj.display_second_p_address_frames()
In [11]:
scene_obj.display_exclamations()
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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()