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My own private findface
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import io | |
import os | |
import dash | |
import base64 | |
import dash_table | |
import pandas as pd | |
import pickle as pkl | |
import os.path as op | |
import face_recognition as fr | |
import dash_core_components as dcc | |
import dash_html_components as html | |
from dash.dependencies import Input, State, Output | |
def who_is_on_the_photo(imagefn): | |
image_coords = fr.face_encodings(fr.load_image_file(imagefn)) | |
answer = {a:"uknown" for a in range(len(image_coords))} | |
for i,a in enumerate(image_coords): | |
who = {b:fr.compare_faces([people[b]], a)[0] for b in people} | |
for b in who: | |
if who[b]: | |
answer[i] = b | |
return(answer) | |
TEMP_DIR = "temp" | |
if not op.exists(TEMP_DIR): | |
os.makedirs(TEMP_DIR) | |
with open("pickled_people.pkl", "rb") as ih: | |
people = pkl.load(ih) | |
external_stylesheets = ["https://codepen.io/chriddyp/pen/bWLwgP.css"] | |
app = dash.Dash(__name__, external_stylesheets=external_stylesheets) | |
app.title = "My own private findface" | |
app.layout = html.Div(children=[ | |
html.H1(children='My own private findface'), | |
dcc.Upload( | |
id='upload-data', | |
children=html.Div([ | |
'Drag and Drop or ', | |
html.A('Select Files') | |
]), | |
style={ | |
'width': '100%', | |
'height': '60px', | |
'lineHeight': '60px', | |
'borderWidth': '1px', | |
'borderStyle': 'dashed', | |
'borderRadius': '5px', | |
'textAlign': 'center', | |
'margin': '10px' | |
}, | |
# Allow multiple files to be uploaded | |
multiple=False | |
), | |
html.H3(children="", id="answer") | |
]) | |
#app.config['suppress_callback_exceptions']=True | |
@app.callback( | |
Output("answer", "children"), | |
[Input("upload-data", "contents")]) | |
def process_image(file): | |
if file: | |
content_type, content_string = file.split(',') | |
file_string = base64.b64decode(content_string) | |
fname = op.join(TEMP_DIR, "ololo.png") | |
with open(fname, "wb") as oh: | |
oh.write(file_string) | |
answer = who_is_on_the_photo(fname) | |
answer_string = ",".join([answer[a] for a in answer]) | |
return(answer_string) | |
app.run_server(debug=False) |
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import os | |
import json | |
import telebot | |
import pickle as pkl | |
import os.path as op | |
from flask import Flask | |
import face_recognition as fr | |
ih = open("config.json", "r") | |
config = json.load(ih) | |
ih.close() | |
TOKEN = config["bot_token"] | |
URL = config["bot_url"] | |
ALLOWED = config["allowed"] | |
bot = telebot.TeleBot(TOKEN) | |
server = Flask(__name__) | |
TEMP_DIR = "temp" | |
if not op.exists(TEMP_DIR): | |
os.makedirs(TEMP_DIR) | |
with open("pickled_people.pkl", "rb") as ih: | |
people = pkl.load(ih) | |
def get_file(message): | |
fileID = message.photo[-1].file_id | |
file_info = bot.get_file(fileID) | |
downloaded_file = bot.download_file(file_info.file_path) | |
return(downloaded_file) | |
def who_is_on_the_foto(imagefn): | |
image_coords = fr.face_encodings(fr.load_image_file(imagefn)) | |
answer = {a:"uknown" for a in range(len(image_coords))} | |
for i,a in enumerate(image_coords): | |
who = {b:fr.compare_faces([people[b]], a)[0] for b in people} | |
for b in who: | |
if who[b]: | |
answer[i] = b | |
return(answer) | |
@bot.message_handler(commands=["start"]) | |
def greet_and_identify(message): | |
if message.chat.id in ALLOWED: | |
bot.reply_to(message, "Welcome") | |
else: | |
bot.reply_to(message, "Get out, id "+str(message.chat.id)+" is not allowed") | |
@bot.message_handler(content_types=["photo"]) | |
def process_photo(message): | |
if message.chat.id in ALLOWED: | |
file = get_file(message) | |
fn = op.join(TEMP_DIR, "test.png") | |
with open(fn, "wb") as oh: | |
oh.write(file) | |
answer = who_is_on_the_foto(fn) | |
for a in answer: | |
bot.send_message(message.chat.id, "The "+str(a+1)+"th person is "+answer[a]) | |
else: | |
bot.reply_to(message, "Get out, id "+str(message.chat.id)+" is not allowed") | |
@server.route('/'+TOKEN, methods=['POST']) | |
def getMessage(): | |
bot.process_new_updates([telebot.types.Update.de_json(request.stream.read().decode("utf-8"))]) | |
return("!", 200) | |
@server.route("/") | |
def webhook(): | |
bot.remove_webhook() | |
bot.set_webhook(url=URL+TOKEN) | |
return("!", 200) | |
#bot.polling() | |
server.run(host='0.0.0.0', port=int(os.environ.get('PORT', 5000))) |
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