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_1570_1598'
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 Common Locations: Counter({'bathroom': 1})
Establishing Shot Locations: Counter({'building': 3})
Descriptors: ['indoors', 'standing']
Active Actions: Counter({'crossed': 10})
Left Wearing: Counter({'suit': 57})
Right Wearing: Counter({'tan shirt': 18, 'tan shirt is talking to another man': 13})
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: d_1570_1598
Start Frame: 1570~25
End Frame: 1598~25
Scene Time: 00:26:10 - 00:26:38
Scene Runtime: 0:00:29

*Technical Details*
Aspect Ratio: 1.85
Avg. Shot Duration: 12.56
Avg. Brightness: 108
Avg. Contrast: 42

*Dialogue Cadence*
Sentences Per Minute: 33
Words Per Sentence 5.94
Questions Per Minute: 8.28
Pct. Questions: 25%

*Emotion*
Laughs Per Minute: 0.00
Profanity Per Minute: 0.00
Words Per Profanity: 0
Exclamations Per Minute: 0.00
In [7]:
scene_obj.display_cutaway_shots()
Out[7]:
[]
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()
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()