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_1269_1321'
In [3]:
film_obj = load_film_object(film_id)
scene_obj = film_obj.scene_object(scene_id)
scene_obj.print_context_clues()
*Plot Context*
Establishing Shot Locations: Counter({'building': 3})
Named Participants: Counter({'marcia': 1})
Descriptors: ['indoors', 'standing']
Active Actions: Counter({'making': 1})
Left Wearing: Counter({'hat': 49, 'hat and scarf': 20, 'hat and a scarf': 12, 'hat and scarf looking down': 4, 'hat and scarf with a surprised look': 2, 'hat and a coat': 1, 'hat and scarf talking': 1, 'hat and scarf looking at something': 1, 'beanie': 1})
Right Wearing: Counter({'glasses and a knitted hat': 62})
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_1269_1321 Start Frame: 1269~25 End Frame: 1321~50 Scene Time: 00:21:09 - 00:22:01 Scene Runtime: 0:00:53 *Technical Details* Aspect Ratio: 1.85 Avg. Shot Duration: 16.15 Avg. Brightness: 54 Avg. Contrast: 36 *Dialogue Cadence* Sentences Per Minute: 23 Words Per Sentence 5.80 Questions Per Minute: 2.25 Pct. Questions: 10% *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()