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_0253_0293'
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({'store': 16})
Named Participants: Counter({'kelly': 2, 'grandma': 1, 'mother': 1, 'ugh': 1})
Descriptors: ['indoors', 'standing']
Held Items: Counter({'arms': 1, 'hands': 1})
Active Actions: Counter({'doing': 5, 'outstretched': 1})
Right Wearing: Counter({'white dress': 1})
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_0253_0293
Start Frame: 0253~75
End Frame: 0293~25
Scene Time: 00:04:13 - 00:04:53
Scene Runtime: 0:00:40

*Technical Details*
Aspect Ratio: 2.39
Avg. Shot Duration: 8.37
Avg. Brightness: 128
Avg. Contrast: 63

*Dialogue Cadence*
Sentences Per Minute: 34
Words Per Sentence 6.09
Questions Per Minute: 1.48
Pct. Questions: 4%

*Emotion*
Laughs Per Minute: 1.48
Profanity Per Minute: 0.00
Words Per Profanity: 0
Exclamations Per Minute: 1.48
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()