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_3747_3780'
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({'transit': 90})
Potential Common Locations: Counter({'airplane': 90})
Potential Other Locations: Counter({'hallway': 18, 'doorway': 4})
Establishing Shot Locations: Counter({'building': 5, 'train': 3})
Named Participants: Counter({'gene': 1})
Descriptors: ['indoors', 'standing']
Active Actions: Counter({'open': 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: d_3747_3780
Start Frame: 3747~50
End Frame: 3780~75
Scene Time: 01:02:27 - 01:03:00
Scene Runtime: 0:00:34

*Technical Details*
Aspect Ratio: 1.78
Avg. Shot Duration: 9.57
Avg. Brightness: 91
Avg. Contrast: 53

*Dialogue Cadence*
Sentences Per Minute: 21
Words Per Sentence 4.50
Questions Per Minute: 1.75
Pct. Questions: 8%

*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()
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In [8]:
scene_obj.display_qna_frames()
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()