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_2963_3000'
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': 4, 'driving': 4, 'dining': 3})
Potential Common Locations: Counter({'car': 4, 'kitchen': 3})
Potential Other Locations: Counter({'street': 16, 'doorway': 2, 'hallway': 1, 'park': 1})
Establishing Shot Locations: Counter({'building': 20, 'train': 5})
Descriptors: ['indoors', 'standing']
Held Items: Counter({'clipboard': 11, 'pen': 6, 'clipboard standing': 5})
Active Actions: Counter({'open': 5, 'making': 1, 'blowing': 1, 'yelling': 1})
Left Wearing: Counter({'suit': 2, 'green jacket': 2, 'brown jacket': 2})
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_2963_3000 Start Frame: 2963~25 End Frame: 3000~50 Scene Time: 00:49:23 - 00:50:00 Scene Runtime: 0:00:38 *Technical Details* Aspect Ratio: 1.78 Avg. Shot Duration: 4.69 Avg. Brightness: 56 Avg. Contrast: 46 *Dialogue Cadence* Sentences Per Minute: 17 Words Per Sentence 3.00 Questions Per Minute: 4.71 Pct. Questions: 27% *Emotion* Laughs Per Minute: 0.00 Profanity Per Minute: 0.00 Words Per Profanity: 0 Exclamations Per Minute: 3.14
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()