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_4970_5021'
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': 131, 'driving': 131, 'violence': 3})
Potential Common Locations: Counter({'car': 131})
Potential Other Locations: Counter({'field': 148})
Descriptors: ['outdoors', 'sitting']
Held Items: Counter({'camera': 23, 'cell phone': 22, 'gun': 3, 'frisbee': 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_4970_5021
Start Frame: 4970~25
End Frame: 5021~75
Scene Time: 01:22:50 - 01:23:41
Scene Runtime: 0:00:52

*Technical Details*
Aspect Ratio: 2.35
Avg. Shot Duration: 29.57
Avg. Brightness: 115
Avg. Contrast: 57

*Dialogue Cadence*
Sentences Per Minute: 21
Words Per Sentence 6.56
Questions Per Minute: 2.29
Pct. Questions: 11%

*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()