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_1560_1585'
In [3]:
film_obj = load_film_object(film_id)
scene_obj = film_obj.scene_object(scene_id)
scene_obj.print_context_clues()
*Plot Context*
Descriptors: ['indoors']
Held Items: Counter({'cell phone': 3, 'his head': 1, 'head': 1})
Active Actions: Counter({'covers': 2})
Left Wearing: Counter({'jacket and a hat': 13, 'puffy jacket': 10, 'blue and white jacket': 6, 'jacket': 4, 'white and blue jacket': 4, 'jacket and hat': 3, 'jacket and a beanie eating a hot dog': 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_1560_1585 Start Frame: 1560~25 End Frame: 1585~00 Scene Time: 00:26:00 - 00:26:25 Scene Runtime: 0:00:25 *Technical Details* Aspect Ratio: 2.39 Avg. Shot Duration: 14.29 Avg. Brightness: 60 Avg. Contrast: 43 *Dialogue Cadence* Sentences Per Minute: 19 Words Per Sentence 8.00 Questions Per Minute: 2.33 Pct. Questions: 12% *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()
