def facemask():
cache.init_app(app2)
with app2.app_context():
cache.clear()
text = "none"
fish = glob.glob('./static/outputs/output_mask/*')
for f in fish:
os.remove(f)
fish = glob.glob('MaskTheFace/data/*')
for f in fish:
os.remove(f)
return render_template('facemask.html', text=text)
def party():
cache.init_app(app2)
with app2.app_context():
cache.clear()
text = "none"
fish = glob.glob('./output/second/TOM/val/*')
for f in fish:
os.remove(f)
party_cloth = ['000003' , '000108', '001719' ,'000178', '000182' , '001428' , '004710' , '017374','002061', '017642', '017377', '017963', '019067','019564', '017643']
for i in range(len(party_cloth)):
party_cloth[i] = (str(party_cloth[i])+"_1.jpg")
return render_template('party_wear.html', party = party_cloth, text=text)
def party():
cache.init_app(app2)
with app2.app_context():
cache.clear()
text = "none"
fish = glob.glob('./output/second/TOM/val/*')
for f in fish:
os.remove(f)
fish = glob.glob('./static/outputs/output_f/*')
for f in fish:
os.remove(f)
party = [
'Orach-Flayrd', 'MultiColor', 'Butterfly_p', 'Waved-Black', 'Shimm',
'Wavy-Red', 'Wavy-Pink', 'Reddish-KNOTS'
]
for i in range(len(party)):
party[i] = (str(party[i]) + ".jpg")
return render_template('party_wear.html', party=party, text=text)
def tshirt():
cache.init_app(app2)
with app2.app_context():
cache.clear()
text = "none"
fish = glob.glob('./output/second/TOM/val/*')
for f in fish:
os.remove(f)
fish = glob.glob('./static/outputs/output_f/*')
for f in fish:
os.remove(f)
tshirt = [
'POLO_Black', 'POLO-blue', 'POLO-Blue', 'POLO-BLue', 'POLO-orach',
'POLO-Violet'
]
for i in range(len(tshirt)):
tshirt[i] = (str(tshirt[i]) + ".jpg")
return render_template('tshirt.html', tshirt=tshirt, text=text)
def sports():
cache.init_app(app2)
with app2.app_context():
cache.clear()
text = "none"
fish = glob.glob('./output/second/TOM/val/*')
for f in fish:
os.remove(f)
fish = glob.glob('./static/outputs/output_f/*')
for f in fish:
os.remove(f)
sport_cloth = [
'ADIDAS-BW', 'ADIDAS_Black', 'FILA_grey', 'FILA-Pink', 'IVY-Black',
'NIKE-grey'
]
for i in range(len(sport_cloth)):
sport_cloth[i] = (str(sport_cloth[i]) + ".jpg")
return render_template('sports.html', sports=sport_cloth, text=text)
def upload_image4():
cache.init_app(app2)
with app2.app_context():
cache.clear()
party_cloth = ['000003' , '000108', '001719' ,'017376' ,'000178', '000182' , '001428' , '004710' , '008632' , '017374','002061', '017642', '017377', '017963', '018348', '019067','019564', '017643']
for i in range(len(party_cloth)):
party_cloth[i] = (str(party_cloth[i])+"_1.jpg")
if request.method=="POST":
# if 'file' not in request.files:
# flash('No file part')
# return redirect(request.url)
text = request.form['input_text']
file = request.files['file']
if file.filename == '':
flash('No image selected for uploading')
return redirect(request.url)
if file and allowed_file(file.filename) and text:
filename = secure_filename(file.filename)
file.save(os.path.join(app.config['UPLOAD_FOLDER1'], filename))
i_path = 'static/Database/val/person/'
input_img = text+'.jpg'
os.rename(i_path+filename , i_path+input_img)
filename = text+'.jpg'
o_path = './output/second/TOM/val'
# fish = glob.glob('./output/second/TOM/val/*')
fish = glob.glob('./static/output_f/*')
for f in fish:
os.remove(f)
time.sleep(10) #
#
#
#
pose_parse(text)
valpair_file = 'static/Database/val_pairs.txt'
for i in range(len(party_cloth)):
with open(valpair_file , "w") as f:
f.write(text+'.jpg '+ party_cloth[i] )
f.close()
predict()
im = Image.open(os.path.join(o_path,party_cloth[i]))
width, height = im.size
left = width / 3
top = 2 * height / 3
right = 2 * width / 3
bottom = height
im = im.crop((left, top, right, bottom))
newsize = (200, 270)
im = im.resize(newsize)
im.save(os.path.join(app2.config['OUTPUT_FOLDER3'],party_cloth[i]))
#
#
#
return render_template('party_wear.html', party=party_cloth, text= text)
else:
flash('Allowed image types are -> png, jpg, jpeg, gif')
return redirect(request.url)
return render_template('party_wear.html')
def upload_image6():
cache.init_app(app2)
with app2.app_context():
cache.clear()
fish = glob.glob('./static/outputs/output_mask/*')
for f in fish:
os.remove(f)
fish = glob.glob('MaskTheFace/data/*')
for f in fish:
os.remove(f)
if request.method == "POST":
text = "Face-Mask"
file = request.files['file']
if file.filename == '':
flash('No image uploaded for size prediction.')
return redirect(request.url)
if file and allowed_file(file.filename) and text:
filename = secure_filename(file.filename)
file.save(os.path.join(app.config['UPLOAD_FOLDER3'], filename))
#
i_path = 'MaskTheFace/data/'
input_img = text + '.jpg'
os.rename(i_path + filename, i_path + input_img)
zpath = os.path.join(i_path, input_img)
print(i_path)
# time.sleep(10) #
#
opath = 'static/outputs/output_mask/'
mask_type = [
'N95', 'surgical', 'cloth', 'N95', 'surgical', 'cloth', 'N95',
'surgical', 'cloth', 'N95', 'surgical', 'cloth', 'cloth'
]
mask_color = [
"#fc1c1a", "#177ABC", "#94B6D2", "#A5AB81", "#DD8047",
"#6b425e", "#e26d5a", "#c92c48", "#6a506d", "#ffc900",
"#ffffff", "#000000", "#49ff00"
]
out_files = []
for i in range(13):
mask_the_face.run_function(zpath, mask_type[i], '', '0',
mask_color[i], '0', '', 'verbose',
'write_original_image')
out_files.append(text + "_" + str(mask_type[i]) + '.jpg')
im = Image.open(os.path.join(i_path, out_files[-1]))
im.save(
os.path.join(app2.config['OUTPUT_FOLDER4'], out_files[-1]))
new_name = text + str(i) + '.jpg'
os.rename(opath + out_files[-1], opath + new_name)
out_files[-1] = new_name
return render_template('facemask.html',
text=text,
out_files=out_files)
else:
flash('Allowed image types are -> png, jpg, jpeg, gif')
return redirect(request.url)
return render_template('facemask.html')
def upload_image5():
cache.init_app(app2)
with app2.app_context():
cache.clear()
fish = glob.glob('./static/Database/val/person/*')
for f in fish:
os.remove(f)
fish = glob.glob('./static/size/*')
for f in fish:
os.remove(f)
tshirt = [
'POLO_Black', 'POLO-blue', 'POLO-Blue', 'POLO-BLue', 'POLO-orach',
'POLO-Violet'
]
for i in range(len(tshirt)):
tshirt[i] = (str(tshirt[i]) + ".jpg")
if request.method == "POST":
text = "tshirtss"
file = request.files['file']
file1 = request.files['file1']
height = request.form['height']
unit = request.form.get('unit')
Go = "False"
if file.filename == '':
flash('No image uploaded for size prediction.')
return redirect(request.url)
if file1.filename == '':
flash('No image uploaded for trying clothes.')
return redirect(request.url)
if file and allowed_file(file.filename) and file1 and allowed_file(
file1.filename) and height and unit and text:
filename = secure_filename(file.filename)
filename1 = secure_filename(file1.filename)
file1.save(os.path.join(app.config['UPLOAD_FOLDER2'], filename1))
i_path = 'static/size/'
file_path = os.path.join(i_path, filename1)
size = women_size_predict(file_path, height, unit)
#
file.save(os.path.join(app.config['UPLOAD_FOLDER1'], filename))
i_path = 'static/Database/val/person/'
input_img = text + '.jpg'
os.rename(i_path + filename, i_path + input_img)
filename = text + '.jpg'
o_path = './output/second/TOM/val'
# time.sleep(10) #
#
#
#
pose_parse(text)
valpair_file = 'static/Database/val_pairs.txt'
for i in range(len(tshirt)):
with open(valpair_file, "w") as f:
f.write(text + '.jpg ' + tshirt[i])
f.close()
predict()
im = Image.open(os.path.join(o_path, tshirt[i]))
width, height = im.size
left = width / 3
top = 2 * height / 3
right = 2 * width / 3
bottom = height
im = im.crop((left, top, right, bottom))
newsize = (200, 270)
im = im.resize(newsize)
im.save(
os.path.join(app2.config['OUTPUT_FOLDER3'], tshirt[i]))
#
#
#
##
##
return render_template('tshirt.html',
tshirt=tshirt,
text=text,
size=size)
else:
flash('Allowed image types are -> png, jpg, jpeg, gif')
return redirect(request.url)
return render_template('tshirt.html')
def upload_image4():
cache.init_app(app2)
with app2.app_context():
cache.clear()
fish = glob.glob('./static/Database/val/person/*')
for f in fish:
os.remove(f)
fish = glob.glob('./static/size/*')
for f in fish:
os.remove(f)
party = [
'Orach-Flayrd', 'MultiColor', 'Butterfly_p', 'Waved-Black', 'Shimm',
'Wavy-Red', 'Wavy-Pink', 'Reddish-KNOTS'
]
for i in range(len(party)):
party[i] = (str(party[i]) + ".jpg")
if request.method == "POST":
text = "palty"
file = request.files['file']
height = request.form['height']
unit = request.form.get('unit')
Go = "False"
if file.filename == '':
flash('No image uploaded for trying clothes.')
return redirect(request.url)
if file and allowed_file(file.filename) and height and unit and text:
filename = secure_filename(file.filename)
file.save(os.path.join(app.config['UPLOAD_FOLDER2'], filename))
i_path = 'static/size/'
file_path = os.path.join(i_path, filename)
size, file = women_size_predict1(file_path, height, unit)
file = Image.fromarray(file, 'RGB')
#
file.save(os.path.join(app.config['UPLOAD_FOLDER1'], filename))
i_path = 'static/Database/val/person/'
input_img = text + '.jpg'
os.rename(i_path + filename, i_path + input_img)
filename = text + '.jpg'
o_path = './output/second/TOM/val'
# fish = glob.glob('./output/second/TOM/val/*')
fish = glob.glob('./static/outputs/output_f/*')
for f in fish:
os.remove(f)
time.sleep(10) #
#
#
#
pose_parse(text)
valpair_file = 'static/Database/val_pairs.txt'
for i in range(len(party)):
with open(valpair_file, "w") as f:
f.write(text + '.jpg ' + party[i])
f.close()
predict()
im = Image.open(os.path.join(o_path, party[i]))
width, height = im.size
left = width / 3
top = 2 * height / 3
right = 2 * width / 3
bottom = height
im = im.crop((left, top, right, bottom))
newsize = (200, 270)
im = im.resize(newsize)
im.save(
os.path.join(app2.config['OUTPUT_FOLDER3'], party[i]))
#
#
#
##
##
return render_template('party_wear.html',
party=party,
text=text,
size=size)
else:
flash('Allowed image types are -> png, jpg, jpeg, gif')
return redirect(request.url)
return render_template('party_wear.html')
def upload_image3():
cache.init_app(app2)
with app2.app_context():
cache.clear()
fish = glob.glob('./static/Database/val/person/*')
for f in fish:
os.remove(f)
fish = glob.glob('./static/size/*')
for f in fish:
os.remove(f)
brand_cloth = [
'Pink-Flayrd', 'Blue-flayrd', 'Flayerd-Yellow', 'Bluish-Flayrd',
'NIKE-black', 'RED-Flayrd'
] #'
for i in range(len(brand_cloth)):
brand_cloth[i] = (str(brand_cloth[i]) + ".jpg")
if request.method == "POST":
text = "brandss"
file = request.files['file']
height = request.form['height']
unit = request.form.get('unit')
if file.filename == '':
flash('No image selected for uploading')
return redirect(request.url)
if file and allowed_file(file.filename) and height and unit:
filename = secure_filename(file.filename)
file.save(os.path.join(app.config['UPLOAD_FOLDER2'], filename))
i_path = 'static/size/'
file_path = os.path.join(i_path, filename)
size, file = women_size_predict1(file_path, height, unit)
file = Image.fromarray(file, 'RGB')
#
file.save(os.path.join(app.config['UPLOAD_FOLDER1'], filename))
i_path = 'static/Database/val/person/'
input_img = text + '.jpg'
os.rename(i_path + filename, i_path + input_img)
filename = text + '.jpg'
o_path = './output/second/TOM/val'
# fish = glob.glob('./output/second/TOM/val/*')
fish = glob.glob('./static/outputs/output_f/*')
for f in fish:
os.remove(f)
time.sleep(10)
#
#
#
#
pose_parse(text)
valpair_file = 'static/Database/val_pairs.txt'
for i in range(len(brand_cloth)):
with open(valpair_file, "w") as f:
f.write(text + '.jpg ' + brand_cloth[i])
f.close()
predict()
im = Image.open(os.path.join(o_path, brand_cloth[i]))
width, height = im.size
left = width / 3
top = 2 * height / 3
right = 2 * width / 3
bottom = height
im = im.crop((left, top, right, bottom))
newsize = (200, 270)
im = im.resize(newsize)
im.save(
os.path.join(app2.config['OUTPUT_FOLDER3'],
brand_cloth[i]))
#
#
#
return render_template('brands.html',
brands=brand_cloth,
text=text,
size=size)
else:
flash('Allowed image types are -> png, jpg, jpeg, gif')
return redirect(request.url)
return render_template('brands.html')
def upload_image2():
cache.init_app(app2)
with app2.app_context():
cache.clear()
fish = glob.glob('./static/Database/val/person/*')
for f in fish:
os.remove(f)
fish = glob.glob('./static/size/*')
for f in fish:
os.remove(f)
sport_cloth = [
'ADIDAS-BW', 'ADIDAS_Black', 'FILA_grey', 'FILA-Pink', 'IVY-Black',
'NIKE-grey'
]
for i in range(len(sport_cloth)):
sport_cloth[i] = (str(sport_cloth[i]) + ".jpg")
if request.method == "POST":
if 'file' not in request.files:
flash('No file part')
return redirect(request.url)
text = "sportss"
file = request.files['file']
height = request.form['height']
unit = request.form.get('unit')
Go = "False"
if file.filename == '':
flash('No image uploaded for size prediction.')
return redirect(request.url)
if file and allowed_file(file.filename) and height and unit:
filename = secure_filename(file.filename)
file.save(os.path.join(app.config['UPLOAD_FOLDER2'], filename))
i_path = 'static/size/'
file_path = os.path.join(i_path, filename)
size, file = women_size_predict1(file_path, height, unit)
file = Image.fromarray(file, 'RGB')
#
file.save(os.path.join(app.config['UPLOAD_FOLDER1'], filename))
i_path = 'static/Database/val/person/'
input_img = text + '.jpg'
os.rename(i_path + filename, i_path + input_img)
filename = text + '.jpg'
o_path = './output/second/TOM/val'
# fish = glob.glob('./output/second/TOM/val/*')
fish = glob.glob('./static/outputs/output_f/*')
for f in fish:
os.remove(f)
time.sleep(10)
#
#
#
#
pose_parse(text)
valpair_file = 'static/Database/val_pairs.txt'
for i in range(len(sport_cloth)):
with open(valpair_file, "w") as f:
f.write(text + '.jpg ' + sport_cloth[i])
f.close()
predict()
im = Image.open(os.path.join(o_path, sport_cloth[i]))
width, height = im.size
left = width / 3
top = 2 * height / 3
right = 2 * width / 3
bottom = height
im = im.crop((left, top, right, bottom))
newsize = (200, 270)
im = im.resize(newsize)
im.save(
os.path.join(app2.config['OUTPUT_FOLDER3'],
sport_cloth[i]))
#
#
#
return render_template('sports.html',
sports=sport_cloth,
text=text,
size=size)
else:
flash('Allowed image types are -> png, jpg, jpeg, gif')
return redirect(request.url)
return render_template('sports.html')
def upload_image():
cache.init_app(app2)
with app2.app_context():
cache.clear()
fish = glob.glob('./static/Database/val/person/*')
for f in fish:
os.remove(f)
fish = glob.glob('./static/size/*')
for f in fish:
os.remove(f)
cloth = [
'Casual-Yellow', 'Casual-Pink', 'Casual-Violet', 'Casual-White',
'Dark_ORANGE', 'Flowers-White', 'Grey_North', 'Light-Pink',
'Multicolo-White', 'Sky_Blue', 'TheNORTHface', 'Yellow62'
]
for i in range(len(cloth)):
cloth[i] = (str(cloth[i]) + ".jpg")
if request.method == "POST":
if 'file' not in request.files:
flash('No file part')
return redirect(request.url)
text = "casualss"
file = request.files['file']
height = request.form['height']
unit = request.form.get('unit')
if file.filename == '':
flash('No image selected for uploading')
return redirect(request.url)
if file and allowed_file(file.filename) and text and height and unit:
filename = secure_filename(file.filename)
file.save(os.path.join(app.config['UPLOAD_FOLDER2'], filename))
i_path = 'static/size/'
file_path = os.path.join(i_path, filename)
size, file = women_size_predict1(file_path, height, unit)
file = Image.fromarray(file, 'RGB')
#
file.save(os.path.join(app.config['UPLOAD_FOLDER1'], filename))
i_path = 'static/Database/val/person/'
input_img = text + '.jpg'
os.rename(i_path + filename, i_path + input_img)
filename = text + '.jpg'
o_path = './output/second/TOM/val'
# fish = glob.glob('./output/second/TOM/val/*')
fish = glob.glob('./static/outputs/output_f/*')
for f in fish:
os.remove(f)
time.sleep(10)
#
#
#
#
pose_parse(text)
valpair_file = 'static/Database/val_pairs.txt'
for i in range(len(cloth)):
with open(valpair_file, "w") as f:
f.write(text + '.jpg ' + cloth[i])
f.close()
predict()
im = Image.open(os.path.join(o_path, cloth[i]))
width, height = im.size
left = width / 3
top = 2 * height / 3
right = 2 * width / 3
bottom = height
im = im.crop((left, top, right, bottom))
newsize = (200, 270)
im = im.resize(newsize)
im.save(
os.path.join(app2.config['OUTPUT_FOLDER3'], cloth[i]))
#
#
#
return render_template('casuals.html',
casuals=cloth,
text=text,
size=size)
else:
flash('Allowed image types are -> png, jpg, jpeg, gif')
return redirect(request.url)
return render_template('casuals.html')
