def gender():
if request.method =='POST':
f=request.files['image']
path=os.path.join('static/uploads/',f.filename)
f.save(path)
print('file saved successfully : ',f.filename)
pipeline_model(path,f.filename,color='bgr')
return render_template('gender.html',upload=True,img_name=f.filename)
return render_template('gender.html',upload=False)
def gender():
if request.method == 'POST':
f = request.files['image']
filename = f.filename
path = os.path.join(Upload_folder, filename)
f.save(path)
w = getwidth(path)
pipeline_model(path, filename, color="bgr")
return render_template('gender.html',
fileupload=True,
img_name=filename,
w=w)
return render_template('gender.html',
fileupload=False,
img_name="freeai.png",
w=300)
def gender():
if request.method == 'POST':
f = request.files['image']
filename = f.filename
path = os.path.join(UPLOAD_FOLDER, filename)
f.save(path)
w = getwidth(path)
# prediction (pass to pipeline model)
pipeline_model(path, filename, color='bgr')
return render_template("gender.html",
fileupload=True,
img_name=filename,
w=w)
return render_template("gender.html",
fileupload=False,
img_name="freeai.png")
def faceidentifier():
if request.method == 'POST':
f = request.files['image']
filename = f.filename
path = os.path.join(UPLOAD_FOLDER, filename)
f.save(path)
# processing
w = getwidth(path)
# prediction (pass to pipeline model)
pipeline_model(path, filename, color='bgr')
return render_template('faceidentifier.html',
fileupload=True,
img_name=filename,
w=w)
return render_template('faceidentifier.html',
fileupload=False,
img_name="footer.png",
w=300)
def gender():
if request.method == "POST":
f = request.files['image']
filename = f.filename
path = os.path.join(UPLOAD_FLODER, filename)
f.save(path)
w = getwidth(path)
pipeline_model(path, filename, color='bgr')
return render_template('gender.html',
fileupload=True,
img_name=filename,
w=w)
return render_template('gender.html',
fileupload=False,
img_name="freeai.png")
