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_0795_0919'
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({'drinking': 5, 'violence': 1, 'dining': 1})
Descriptors: ['indoors', 'sitting']
Held Items: Counter({'knife': 1, 'cell phone': 1, 'something': 1, 'hand': 1})
Active Actions: Counter({'drinking': 5, 'laughing': 3, 'putting': 1})
Left Wearing: Counter({'suit': 48})
Right Wearing: Counter({'green shirt': 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_0795_0919 Start Frame: 0795~50 End Frame: 0919~25 Scene Time: 00:13:15 - 00:15:19 Scene Runtime: 0:02:04 *Technical Details* Aspect Ratio: 2.35 Avg. Shot Duration: 15.50 Avg. Brightness: 45 Avg. Contrast: 31 *Dialogue Cadence* Sentences Per Minute: 27 Words Per Sentence 5.47 Questions Per Minute: 4.33 Pct. Questions: 16% *Emotion* Laughs Per Minute: 0.48 Profanity Per Minute: 0.48 Words Per Profanity: 312 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()