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21_22-J-02
Commit 8de4f1b1 authored by Wanigasinghe N.T. | IT18229912's avatar Wanigasinghe N.T. | IT18229912
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Merge branch 'feat/it18229912' into 'develop' 

Feat/it18229912

See merge request !51
parents f5dfc049 c8e78fee
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Showing with 175 additions and 2514 deletions
Presently/presently/users/emotiondetectionaudio.py
View file @ 8de4f1b1
......@@ -18,15 +18,6 @@ import time
from os import path
from pydub import AudioSegment
#convert video files to .wav format
# src = input("In: ")
# dst = input("Out: ")
# src = input("F:\\CDAP-PRESENTLY\\21_22-j-02\\Presently\\presently\\users\\media\\video\\22")
# dst = input("F:\\CDAP-PRESENTLY\\21_22-j-02\\Presently\\presently\\users\\media\\audio")
# sound = AudioSegment.from_mp3(src)
# sound.export(dst, format="wav")
saved_model_path = "F:\\CDAP-PRESENTLY\\21_22-j-02\\Presently\\presently\\users\\models\\model8723.json"
saved_weights_path = "F:\\CDAP-PRESENTLY\\21_22-j-02\\Presently\\presently\\users\\models\\model8723_weights.h5"
......
Presently/presently/users/grammerchecker.py
View file @ 8de4f1b1
......@@ -5,9 +5,9 @@ import moviepy.editor as mp
def convertText():
clip = mp.VideoFileClip(r"F:\\CDAP-PRESENTLY\\21_22-j-02\\Presently\\presently\\media\\video\\22\\publicspeech.mp4")
clip.audio.write_audiofile(r"converted_mp3.wav")
clip.audio.write_audiofile(r"F:\\CDAP-PRESENTLY\\21_22-j-02\\Presently\\presently\\users\\myprosody\\dataset\\audioFiles\\publicspeech.wav")
r = sr.Recognizer()
audio =sr.AudioFile(r"converted_mp3.wav")
audio =sr.AudioFile(r"F:\\CDAP-PRESENTLY\\21_22-j-02\\Presently\\presently\\users\\myprosody\\dataset\\audioFiles\\publicspeech.wav")
with audio as source:
r.pause_threshold = 1
r.adjust_for_ambient_noise(source, duration=1)
......
Presently/presently/users/myprosody/dataset/audioFiles/disgusted.TextGrid deleted 100644 → 0
View file @ f5dfc049
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text = "sounding"
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text = "silent"
Presently/presently/users/myprosody/dataset/audioFiles/fearful.TextGrid deleted 100644 → 0
View file @ f5dfc049
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Presently/presently/users/myprosody/dataset/audioFiles/happy.TextGrid deleted 100644 → 0
View file @ f5dfc049
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text = "sounding"
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text = "silent"
Presently/presently/users/myprosody/dataset/audioFiles/publicspeech.TextGrid
View file @ 8de4f1b1
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Presently/presently/users/templates/users/emotionaudio.html
View file @ 8de4f1b1
......@@ -52,49 +52,41 @@
<div class="col-lg-3 text-center"> <span class="pie-chart" data-percent="10"> <span
class="percent"></span> </span>
<h4>Neutral</h4>
<p>Lorem ipsum dolor sit amet.</p>
</div>
<div class="col-lg-3 text-center">
<div class="pie-chart" data-percent="20" data-color="#EA4C89"> <span class="percent"></span>
</div>
<h4>Calm</h4>
<p>Lorem ipsum dolor sit amet.</p>
</div>
<div class="col-lg-3 text-center">
<div class="pie-chart" data-percent="95" data-color="#FF675B"> <span class="percent"></span>
</div>
<h4>Happy</h4>
<p>Lorem ipsum dolor sit amet.</p>
</div>
<div class="col-lg-3 text-center">
<div class="pie-chart" data-percent="51" data-color="#FF9900"> <span class="percent"></span>
</div>
<h4>Sad</h4>
<p>Lorem ipsum dolor sit amet.</p>
</div>
<div class="col-lg-3 text-center">
<div class="pie-chart" data-percent="02" data-color="#E4EA64"> <span class="percent"></span>
</div>
<h4>Angry</h4>
<p>Lorem ipsum dolor sit amet.</p>
</div>
<div class="col-lg-3 text-center">
<div class="pie-chart" data-percent="20" data-color="#6DEA64"> <span class="percent"></span>
</div>
<h4>Fearful</h4>
<p>Lorem ipsum dolor sit amet.</p>
</div>
<div class="col-lg-3 text-center">
<div class="pie-chart" data-percent="55" data-color="#0FD1AA"> <span class="percent"></span>
</div>
<h4>Disgust</h4>
<p>Lorem ipsum dolor sit amet.</p>
</div>
<div class="col-lg-3 text-center">
<div class="pie-chart" data-percent="21" data-color="#C03BE3"> <span class="percent"></span>
</div>
<h4>Suprised</h4>
<p>Lorem ipsum dolor sit amet.</p>
</div>
</div>
......
Presently/presently/users/views.py
View file @ 8de4f1b1
......@@ -9,12 +9,12 @@ from .forms import Video_form
from .models import Video
from django.template import Template, Context
import datetime
from . import grammerchecker
from . import emotiondetectionvideo
# from . import emotiondetectionaudio
import myprosody as mysp
import pickle
from . import myprosody
from . import grammerchecker
def test(request):
p="publicspeech"
......
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