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]:
't_2169_2351'
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({'violence': 56, 'dining': 21, 'intimacy': 7, 'transit': 1})
Potential Common Locations: Counter({'train': 1})
Potential Other Locations: Counter({'doorway': 28, 'street': 3, 'building': 1})
Establishing Shot Locations: Counter({'building': 1, 'boat': 1})
Named Participants: Counter({'ivan': 6, 'vanya': 2, 'dimitri': 1, 'ja': 1, 'nein': 1, 'sergei': 1, 'woman': 1})
Descriptors: ['indoors', 'standing']
Held Items: Counter({'gun': 35, 'knife': 21, 'cell phone': 12, 'object': 9, 'hand': 7, 'woman': 5, 'child': 4, 'hat': 2, 'hands': 2, 'pole': 1, 'pipe': 1, 'arm': 1, 'dark': 1, 'piece': 1, 'person': 1, 'girl': 1, 'guitar': 1, 'gun standing': 1, 'his head': 1, 'piece of paper': 1, 'hands together': 1, "hat over another person 's head": 1, 'face': 1})
Active Actions: Counter({'flying': 15, 'putting': 10, 'cutting': 7, 'kissing': 5, 'touching': 4, 'playing': 2, 'squatting': 2, 'hugging': 2, 'covering': 2, 'railing': 1, 'hiding': 1, 'carried': 1, 'held': 1, 'riding': 1, 'hand': 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: t_2169_2351 Start Frame: 2169~50 End Frame: 2351~50 Scene Time: 00:36:09 - 00:39:11 Scene Runtime: 0:03:03 *Technical Details* Aspect Ratio: 1.78 Avg. Shot Duration: 6.08 Avg. Brightness: 31 Avg. Contrast: 14 *Dialogue Cadence* Sentences Per Minute: 27 Words Per Sentence 3.43 Questions Per Minute: 3.61 Pct. Questions: 14% *Emotion* Laughs Per Minute: 0.00 Profanity Per Minute: 0.98 Words Per Profanity: 93 Exclamations Per Minute: 8.52
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()