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_1982_2111'
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({'intimacy': 87})
Descriptors: ['indoors', 'standing']
Active Actions: Counter({'kissing': 87, 'touching': 6, 'making': 5, 'singing': 1})
Left Wearing: Counter({'shirt': 23, 'top': 4, 'necklace and a black shirt': 4, 'necklace and blue lipstick': 2})
Right Wearing: Counter({'suit': 36})
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_1982_2111 Start Frame: 1982~25 End Frame: 2111~25 Scene Time: 00:33:02 - 00:35:11 Scene Runtime: 0:02:10 *Technical Details* Aspect Ratio: 1.78 Avg. Shot Duration: 17.83 Avg. Brightness: 25 Avg. Contrast: 28 *Dialogue Cadence* Sentences Per Minute: 9 Words Per Sentence 6.70 Questions Per Minute: 1.38 Pct. Questions: 15% *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()
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()