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_4569_4652'
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': 281, 'driving': 273})
Potential Common Locations: Counter({'car': 273})
Potential Other Locations: Counter({'street': 10, 'garage': 5, 'field': 4})
Named Participants: Counter({'ricky': 1})
Descriptors: ['indoors', 'sitting']
Held Items: Counter({'button': 2, 'metal object': 1})
Active Actions: Counter({'parked': 35, 'driving': 8, 'lit': 7, 'touching': 2})
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_4569_4652
Start Frame: 4569~00
End Frame: 4652~25
Scene Time: 01:16:09 - 01:17:32
Scene Runtime: 0:01:24

*Technical Details*
Aspect Ratio: 2.35
Avg. Shot Duration: 9.28
Avg. Brightness: 60
Avg. Contrast: 42

*Dialogue Cadence*
Sentences Per Minute: 14
Words Per Sentence 4.16
Questions Per Minute: 2.85
Pct. Questions: 21%

*Emotion*
Laughs Per Minute: 0.00
Profanity Per Minute: 0.71
Words Per Profanity: 79
Exclamations Per Minute: 2.85
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()