def met():
import paralleldots
import json
api_key = "zIAZOZfZvvLW6luxNluGHa0Pvt623evzdR42paLpWNY"
paralleldots.set_api_key(api_key)
p1 = "/home/ganesh/Desktop/Projects/exp/photos/"
p2 = os.listdir(p1)
p1 = p1 + str(p2[0])
k = paralleldots.facial_emotion(p1)
if "No face detected." in k:
shutil.rmtree('/home/ganesh/Desktop/Projects/exp/photos')
os.mkdir('/home/ganesh/Desktop/Projects/exp/photos')
return render_template('error.html')
else:
m = 0
mv = "p"
if 'facial_emotion' not in k:
shutil.rmtree('/home/ganesh/Desktop/Projects/exp/photos')
os.mkdir('/home/ganesh/Desktop/Projects/exp/photos')
return render_template('error.html')
for j in k['facial_emotion']:
e = j['tag']
if j['score'] > m:
mv = e
m = j['score']
shutil.rmtree('/home/ganesh/Desktop/Projects/exp/photos')
os.mkdir('/home/ganesh/Desktop/Projects/exp/photos')
return render_template('success.html', emotion=mv)
def song():
if request.method == 'POST':
if 'file' not in request.files:
flash('No file part')
return redirect(request.url)
file = request.files['file']
if file == '':
flash('No selected file')
return redirect(request.url)
if file:
filename = secure_filename(file.filename)
print(
os.path.abspath(
os.path.join(app.config['UPLOAD_FOLDER'], filename)))
file.save(filename)
path = filename
results = paralleldots.facial_emotion(path)
# print(results['facial_emotion'][0])
genre = results['facial_emotion'][0]['tag']
# cur = mysql.connection.cursor()
cursor.execute("select * from songs where mood = %s;", (genre, ))
a = []
for song in cursor:
a.append(song[0])
print(song[0])
print(song[1])
result = random.choice(a)
print(result)
# cursor.close()
# mysql.connection.commit()
# cur.close()
return render_template("song.html", songname=result)
else:
return Response(500)
def find_mood(path):
# Using ParallelDots API to find the Facial Emotion in the Image
results = paralleldots.facial_emotion(path)
user_mood = ""
if 'facial_emotion' in results:
user_mood = results['facial_emotion'][0]['tag']
else:
user_mood = 'Neutral'
print('Found user_mood', user_mood)
return user_mood
def get_frame(self):
# Using OpenCV to capture from device 0. If you have trouble capturing
# from a webcam, comment the line below out and use a video file
# instead.
self.video = cv2.VideoCapture(0)
img_counter = 0
while True:
ret, frame = self.video.read()
#cv2.imshow("test", frame)
if not ret:
break
k = cv2.waitKey(1)
if k%256 == 27:
# ESC pressed
print("Escape hit, closing...")
break
elif keyboard.is_pressed('space'):
# SPACE pressed
img_name = "opencv_frame_{}.png".format(img_counter)
cv2.imwrite(img_name, frame)
print("{} written!".format(img_name))
client = SightengineClient('523702522', 'SoMh4T2mBCTB848RmhqS')
output = client.check('celebrities').set_file('/Users/jeffrosal1/Desktop/NUhomework/project3/combined/flasktest/opencv_frame_0.png')
print(output)
set_api_key("i0bqh0wRTlMqHMTHXZPxXFumRAcETw698GaIqBN9vuM")
# when sending a image file
path = "/Users/jeffrosal1/Desktop/NUhomework/project3/combined/flasktest/opencv_frame_0.png"
emoout = paralleldots.facial_emotion(path)
print(emoout)
rete, jpeg = cv2.imencode('.jpg', frame)
return jpeg.tobytes()
def get_frame(self):
# Using OpenCV to capture from device 0. If you have trouble capturing
# from a webcam, comment the line below out and use a video file
# instead.
self.video = cv2.VideoCapture(0)
img_counter = 0
while True:
ret, frame = self.video.read()
#cv2.imshow("test", frame)
if not ret:
break
k = cv2.waitKey(1)
if k % 256 == 27:
# ESC pressed
print("Escape hit, closing...")
break
elif keyboard.is_pressed('space'):
# SPACE pressed
img_name = "opencv_frame_{}.png".format(img_counter)
cv2.imwrite(img_name, frame)
print("{} written!".format(img_name))
client = SightengineClient('', '')
output = client.check('celebrities').set_file('')
print(output)
set_api_key("")
# when sending a image file
path = ""
emoout = paralleldots.facial_emotion(path)
print(emoout)
rete, jpeg = cv2.imencode('.jpg', frame)
return jpeg.tobytes()
def take_picture_with_camera():
paralleldots.set_api_key("br13ubwK9UvtgVahL09oDrw2KxLtRGKygrgonAmLqjY")
paralleldots.get_api_key()
camera.start_preview()
#camera.rotation(180)
sleep(0.5)
camera.capture('/home/pi/Desktop/image.jpg')
camera.stop_preview()
path = "/home/pi/Desktop/image.jpg"
s = (paralleldots.facial_emotion(path))
ans = dict(s)
if ("facial_emotion" in ans):
a = list(ans['facial_emotion'])
b = dict(a[0])
emotions = b['tag']
#while True:
print(emotions)
if (emotions == "Angry"):
pygame.mixer.music.load("/home/pi/Sounds/Angry.mp3")
pygame.mixer.music.play()
else:
if (emotions == "Disgust"):
pygame.mixer.music.load("/home/pi/Sounds/Disgust.mp3")
pygame.mixer.music.play()
else:
if (emotions == "Fear"):
pygame.mixer.music.load("/home/pi/Sounds/Fear.mp3")
pygame.mixer.music.play()
else:
if (emotions == "Happy"):
pygame.mixer.music.load("/home/pi/Sounds/Happy.mp3")
pygame.mixer.music.play()
else:
if (emotions == "Neutral"):
pygame.mixer.music.load(
"/home/pi/Sounds/Normal.mp3")
pygame.mixer.music.play()
else:
if (emotions == "Normal"):
pygame.mixer.music.load(
"/home/pi/Sounds/Normal.mp3")
pygame.mixer.music.play()
else:
if (emotions == "Sad"):
pygame.mixer.music.load(
"/home/pi/Sounds/Sad.mp3")
pygame.mixer.music.play()
else:
if (emotions == "Surprise"):
pygame.mixer.music.load(
"/home/pi/Sounds/Surprise.mp3")
pygame.mixer.music.play()
if (emotions == "Neutral"):
CODE("Normal")
CODE(emotions) # morse code for the emotions
else:
print("Face is not detected clearly :( ")
GPIO.output(buzzer, GPIO.HIGH)
sleep(1)
GPIO.output(buzzer, GPIO.LOW)
# Play NoFace
pygame.mixer.music.load("/home/pi/Sounds/NoFace.mp3")
pygame.mixer.music.play()
CODE("No Face")
def video_recorder(request):
try:
if (request.method == "POST"):
get_random_value = get_random_string(length=6)
request.session['video_filled'] = "True"
video_data = request.POST.get('image')
format, imgstr = video_data.split(';base64,')
ext = format.split('/')[-1]
value = str(f'profile_pics/{get_random_value}.{ext}')
video_data = ContentFile(
base64.b64decode(imgstr), name=get_random_value + '.' +
ext) # You can save this as file instance.
user_code = request.session['Invitation_code']
user_id = request.session['job_user_fetch']
video = newtable(user_id=user_id,
Code_id=user_code,
profile_video=video_data)
instance = video.save()
data = newtable.objects.get(profile_video=value)
happy = 0
url = str(f"media/{data.profile_video}")
try:
happy = paralleldots.facial_emotion(url).get(
"facial_emotion")[0].get("score")
fear = paralleldots.facial_emotion(url).get(
"facial_emotion")[1].get("score")
surprise = paralleldots.facial_emotion(url).get(
"facial_emotion")[2].get("score")
sad = paralleldots.facial_emotion(url).get(
"facial_emotion")[3].get("score")
neutral = paralleldots.facial_emotion(url).get(
"facial_emotion")[4].get("score")
disgust = paralleldots.facial_emotion(url).get(
"facial_emotion")[5].get("score")
angry = paralleldots.facial_emotion(url).get(
"facial_emotion")[6].get("score")
newtable.objects.update_or_create(
profile_video=value,
defaults={
'happy': happy,
'fear': fear,
'surprise': surprise,
'sad': sad,
'neutral': neutral,
'disgust': disgust,
'angry': angry
},
)
video_filled = 'True'
return render(request,
'firstapp/interviewr_portal/videorecorder.html',
{'video_filled': video_filled})
except:
video_filled = 'True'
newtable.objects.update_or_create(
profile_video=value,
defaults={
'happy': 0,
'fear': 0,
'surprise': 0,
'sad': 0,
'neutral': 0,
'disgust': 0,
'angry': 0
},
)
return render(request,
'firstapp/interviewr_portal/videorecorder.html',
{'video_filled': video_filled})
else:
video_filled = request.session['video_filled']
return render(request,
'firstapp/interviewr_portal/videorecorder.html',
{'video_filled': video_filled})
except:
return HttpResponse('Can,t Access this template Directly')
def get_frame(self):
# Using OpenCV to capture from device 0. If you have trouble capturing
# from a webcam, comment the line below out and use a video file
# instead.
from app import buttons
self.video = cv2.VideoCapture(0)
img_counter = 0
while True:
ret, frame = self.video.read()
#cv2.imshow("test", frame)
if not ret:
break
k = cv2.waitKey(1)
if k % 256 == 27:
# ESC pressed
print("Escape hit, closing...")
break
elif keyboard.is_pressed('space'):
# SPACE pressed
path_img = "/Users/jeffrosal1/Desktop/NUhomework/project3/Project3/dopple/static/img/"
img_name = "dopplegang.png"
#cv2.imwrite(img_name, frame)
cv2.imwrite(str(path_img) + 'dopplegang.png', frame)
print("{} written!".format(img_name))
client = SightengineClient('523702522', 'SoMh4T2mBCTB848RmhqS')
output = client.check('celebrities').set_file(
'/Users/jeffrosal1/Desktop/NUhomework/project3/Project3/dopple/static/img/dopplegang.png'
)
print(output)
set_api_key("i0bqh0wRTlMqHMTHXZPxXFumRAcETw698GaIqBN9vuM")
# when sending a image file
path = "/Users/jeffrosal1/Desktop/NUhomework/project3/Project3/dopple/static/img/dopplegang.png"
emoout = paralleldots.facial_emotion(path)
print(emoout)
#start matplotlib
faces = output["faces"]
celebrity = faces[0]
name_set = celebrity["celebrity"]
index = 0
totalprob = 0
names = []
probability = []
while index < len(name_set):
x = name_set[index]
name = x['name']
names.append(name)
prob = x['prob']
probability.append(prob)
index = index + 1
print(names)
print(probability)
from matplotlib import rcParams
rcParams.update({'figure.autolayout': True})
plt.bar(names,
probability,
color='yellow',
alpha=0.5,
align="center",
edgecolor="black")
plt.xticks(rotation=45)
plt.ylim(0, 1)
plt.title("Celebrity Doppelganger")
plt.xlabel("Celebrity Name")
plt.ylabel("Probability")
plt.savefig(str(path_img) + "prob_bar_graph.png")
plt.close()
#end matplotlib
rete, jpeg = cv2.imencode('.jpg', frame)
return jpeg.tobytes()
import paralleldots
paralleldots.set_api_key("PBgqFCR9T70FVQh7AJ688gugecn5doufgAiSmz3137A")
print(paralleldots.get_api_key())
#path= "/try.jpg"
path = "D:\HackRU/try.jpg"
print("\nFacial Emotion")
values = paralleldots.facial_emotion(path)
print(values)
import json
from pprint import pprint
#values[""]
#print(values['facial_emotion'][0]['tag']) #OUTPUTS HAPPY. WORKING
significantemotions_andvalues = {}
emotions = []
#Happy, Neutral, Surprise, Sad, Fear, Disgust, Angry
if (values['facial_emotion'][0]['tag']) == 'Happy':
happinessscore = values['facial_emotion'][0]['score']
emotions.append(happinessscore)
if (values['facial_emotion'][1]['tag']) == 'Neutral':
neutralcore = values['facial_emotion'][1]['score']
emotions.append(neutralcore)
import paralleldots
api_key="NubaG0ojxvvFFXBRhPFXWnVuoDRubxNGzzyg1KVZJgY"
paralleldots.set_api_key(api_key)
print(paralleldots.facial_emotion('1.jpg'))
print(paralleldots.emotion("This good thing is bad"))