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_1776_1960'
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': 18, 'driving': 18, 'drinking': 18})
Potential Common Locations: Counter({'car': 18, 'bar': 18})
Potential Other Locations: Counter({'street': 15, 'sidewalk': 5, 'hallway': 1})
Named Participants: Counter({'jacob': 4, 'man': 1, 'woman': 1})
Descriptors: ['indoors', 'sitting']
Held Items: Counter({'cell phone': 22, 'glass': 1})
Active Actions: Counter({'sleeping': 30, 'using': 12, 'texting': 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_1776_1960
Start Frame: 1776~50
End Frame: 1960~75
Scene Time: 00:29:36 - 00:32:40
Scene Runtime: 0:03:05

*Technical Details*
Aspect Ratio: 1.78
Avg. Shot Duration: 13.18
Avg. Brightness: 56
Avg. Contrast: 38

*Dialogue Cadence*
Sentences Per Minute: 17
Words Per Sentence 3.56
Questions Per Minute: 2.91
Pct. Questions: 17%

*Emotion*
Laughs Per Minute: 0.97
Profanity Per Minute: 0.00
Words Per Profanity: 0
Exclamations Per Minute: 0.00
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()