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_1072_1205'
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': 217, 'driving': 217})
Potential Common Locations: Counter({'car': 217, 'elevator': 12})
Potential Other Locations: Counter({'building': 22, 'street': 3, 'garage': 2, 'hallway': 2})
Named Participants: Counter({'eddie': 2})
Descriptors: ['indoors', 'sitting']
Held Items: Counter({'cell phone': 9, 'piece of paper': 7, 'camera': 2, 'hand': 2, 'head': 1, 'card': 1})
Active Actions: Counter({'parked': 9, 'smoking': 4, 'taking': 2, 'turned': 1, 'typing': 1, 'pointing': 1})
Left Wearing: Counter({'jacket': 1, 'black jacket': 1})
Right Wearing: Counter({'face mask': 2, 'gas mask': 1, 'mask': 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_1072_1205
Start Frame: 1072~50
End Frame: 1205~75
Scene Time: 00:17:52 - 00:20:05
Scene Runtime: 0:02:14

*Technical Details*
Aspect Ratio: 2.39
Avg. Shot Duration: 13.35
Avg. Brightness: 51
Avg. Contrast: 43

*Dialogue Cadence*
Sentences Per Minute: 25
Words Per Sentence 5.60
Questions Per Minute: 3.13
Pct. Questions: 13%

*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()