Adding Losing function

YOLO/Dockerfiles/app/Dockerfile

@@ -0,0 +1,21 @@
+FROM python:3.7
+
+RUN mkdir /code
+WORKDIR /code
+
+ADD entrypoint.sh /code/entrypoint.sh
+ADD requirements.txt /code/requirements.txt
+ADD app/ /code
+
+RUN ls
+#RUN pip install -r requirements.txt --no-cache-dir
+#RUN apt-get install apt-transport-https
+RUN apt update -y
+RUN apt install python3-pip -y
+
+#RUN pip3 install --default-timeout=100  -r requirements.txt
+
+EXPOSE 50002
+ENV FLASK_APP "/code/app.py"
+CMD ["/code/entrypoint.sh"]
+

YOLO/Dockerfiles/app/app/app.py

@@ -0,0 +1,25 @@
+# app/__init__.py
+
+from flask import Flask
+import requests
+import json
+import sys
+def create_app():
+    app = Flask(__name__)
+
+    @app.route('/update/<string:id>/<string:attr>/<int:value>/')
+    def update(id,attr,value):
+        import update_grid;
+        path = "/Datasets/grids/"# PATH TO VOLUME
+        r = requests.get("http://127.0.0.1:50011/update/"+id+"/"+attr+"/"+str(value)+"/")
+        print("Message",file=sys.stdout)
+        print(r,file=sys.stdout)
+        dict = r.json()
+        # TO DO
+        # GET COORDINATES x and y
+        nb_img = dict["Nb"]
+        for x,y in dict["img"]:
+             update_grid.hide_image(path+id+".png", path+id+".png", float(x),float(y))
+        return str(nb_img)
+
+    return app

YOLO/Dockerfiles/app/app/update_grid.py

@@ -0,0 +1,16 @@
+""" UPDATE GRID """
+import cv2
+import os
+
+# Path image : chemin vers la grille d'images de célébrités
+# Output image : chemin vers la grille avec l'image cachée
+# x,y : coordonées (x,y) de la sortie yolo (qui correspond au centre de l'image)
+
+def hide_image(path_img, output_img, x, y):
+  img = cv2.imread(path_img)
+  x1 = int((x-0.1)*890)
+  y1 = int((y-0.1)*1090)
+  x2 = int((x+0.1)*890)
+  y2 = int((y+0.1)*1090)
+  cv2.rectangle(img, ( x1 , y1), ( x2, y2), (255, 255, 255), -1)
+  cv2.imwrite(output_img, img)

YOLO/Dockerfiles/app/entrypoint.sh

@@ -0,0 +1,13 @@
+#!/bin/sh
+
+sleep 5
+
+pip3 install -U Flask
+pip3 install Flask-RESTful
+pip3 install opencv-python
+pip3 install opencv-contrib-python
+pip3 install opencv-python-headless
+pip3 install opencv-contrib-python-headless
+
+flask run --host=0.0.0.0 --port=50008
+

YOLO/Dockerfiles/app/requirements.txt

@@ -0,0 +1 @@
+Flask==1.1.1

YOLO/Dockerfiles/docker_run.sh

@@ -0,0 +1,4 @@
+#!/bin/sh
+
+docker build -t image_YOLO Dockerfiles/app
+docker run -it --network="host" -v /home/user/Bureau/Datasets:/Datasets image_YOLO:latest

YOLO/command_line.sh

@@ -0,0 +1,2 @@
+Dockerfiles/docker_run.sh
+

bdd/Dockerfiles/app/app/app.py

@@ -16,13 +16,17 @@ def create_app():
 	def get_question(id=1):
 		with sql.connect("/Datasets/database/database.db") as con:
 			cur = con.cursor()
-			row = cur.execute("select * from questions where id=\'"+str(id)+"\';")
-		return(row.fetchone()[2])
+			row = cur.execute("select * from questions where id=\'"+str(id)+"\';").fetchone()
+			dico=dict()
+			dico["attribut"]=row[1]
+			dico["intitule"]=row[2]
+			dico["response"]=row[3]
+		return(json.dumps(dico))
 
 	@app.route('/create/<string:token>/')
 	def create(token='TEST'):
 		with sql.connect("/Datasets/database/database.db") as con:
-			data=pd.read_csv("/Datasets/database/"+token+".csv",delimiter=";")
+			data=pd.read_csv("/Datasets/database/"+token+".csv",delimiter=",")
 			data.to_sql(token,con,if_exists='replace',index=False)
 		return '1'
 
@@ -30,14 +34,14 @@ def create_app():
 	def update(token,attr,value):
 		with sql.connect("/Datasets/database/database.db") as con:
 			cur = con.cursor()
-			sql_update= "update " + token + " set excluded = 1 where "+attr+"="+str(value)+";"
+			sql_update= "update " + token + " set Excluded = 1 where "+attr+"="+str(value)+";"
 			cur.execute(sql_update)
 			cur.execute("select x,y from "+token+" where "+attr+"=\'"+str(value)+"\';")
 			rows = cur.fetchall()
 			dico = dict()
 			dico["img"]=rows
 			cur = con.cursor()
-			cur.execute("SELECT COUNT(*) FROM "+token+" where excluded = 0")
+			cur.execute("SELECT COUNT(*) FROM "+token+" where Excluded = 0")
 			dico["Nb"]=cur.fetchone()[0]
 		return(json.dumps(dico))
 	return app