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_0722_0790'
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({'dining': 3})
Establishing Shot Locations: Counter({'building': 1})
Descriptors: ['standing']
Active Actions: Counter({'smoking': 11, 'eating': 3})
Right Wearing: Counter({'knitted hat': 23, 'beanie': 9, 'hat looking at a man': 6, 'hat talking': 2, 'hat': 1, 'hat and gloves': 1, 'hat and mittens': 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_0722_0790 Start Frame: 0722~50 End Frame: 0790~25 Scene Time: 00:12:02 - 00:13:10 Scene Runtime: 0:01:08 *Technical Details* Aspect Ratio: 1.85 Avg. Shot Duration: 12.36 Avg. Brightness: 64 Avg. Contrast: 56 *Dialogue Cadence* Sentences Per Minute: 31 Words Per Sentence 4.54 Questions Per Minute: 6.98 Pct. Questions: 23% *Emotion* Laughs Per Minute: 1.75 Profanity Per Minute: 5.24 Words Per Profanity: 26 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()