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_3032_3214'
In [3]:
film_obj = load_film_object(film_id)
scene_obj = film_obj.scene_object(scene_id)
scene_obj.print_context_clues()
*Plot Context*
Named Participants: Counter({'kym': 2, 'all': 2, 'coal': 1, 'hi': 1, 'man': 1})
Descriptors: ['indoors', 'sitting']
Held Items: Counter({'hand': 11, 'cell phone': 8})
Active Actions: Counter({'using': 31, 'putting': 6, 'singing': 1, 'covering': 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_3032_3214 Start Frame: 3032~50 End Frame: 3214~50 Scene Time: 00:50:32 - 00:53:34 Scene Runtime: 0:03:03 *Technical Details* Aspect Ratio: 1.85 Avg. Shot Duration: 24.30 Avg. Brightness: 42 Avg. Contrast: 24 *Dialogue Cadence* Sentences Per Minute: 14 Words Per Sentence 6.73 Questions Per Minute: 0.00 Pct. Questions: 0% *Emotion* Laughs Per Minute: 0.00 Profanity Per Minute: 0.00 Words Per Profanity: 0 Exclamations Per Minute: 0.98
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()