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_4157_4191'
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({'transit': 9, 'driving': 9})
Potential Common Locations: Counter({'car': 9})
Potential Other Locations: Counter({'street': 39, 'parking lot': 6, 'city': 2})
Establishing Shot Locations: Counter({'building': 9})
Descriptors: ['outdoors', 'standing']
Held Items: Counter({'cell phone': 1})
Left Wearing: Counter({'hat': 31, 'hat and scarf standing': 4, 'hat and scarf': 2})
Right Wearing: Counter({'beanie': 51, 'beanie and a sweater': 4, 'beanie and a backpack': 3, 'beanie and a jacket': 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_4157_4191 Start Frame: 4157~25 End Frame: 4191~25 Scene Time: 01:09:17 - 01:09:51 Scene Runtime: 0:00:35 *Technical Details* Aspect Ratio: 1.85 Avg. Shot Duration: 13.70 Avg. Brightness: 52 Avg. Contrast: 34 *Dialogue Cadence* Sentences Per Minute: 19 Words Per Sentence 5.55 Questions Per Minute: 1.71 Pct. Questions: 9% *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()
Out[7]:
[]
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()