From f6416bb8526403b7d52e0bdf0a71fd12d3a0b53b Mon Sep 17 00:00:00 2001
From: Vaek <timothe.boulet@student-cs.fr>
Date: Tue, 16 Mar 2021 20:22:43 +0100
Subject: [PATCH] Add video capture
---
__pycache__/faceAnalysis.cpython-38.pyc | Bin 0 -> 263 bytes
__pycache__/imageProcess.cpython-38.pyc | Bin 0 -> 980 bytes
faceAnalysis.py | 4 +++
imageProcess.py | 34 ++++++++++++++++++++++++
videoCapture.py | 19 +++++++++++++
5 files changed, 57 insertions(+)
create mode 100644 __pycache__/faceAnalysis.cpython-38.pyc
create mode 100644 __pycache__/imageProcess.cpython-38.pyc
create mode 100644 faceAnalysis.py
create mode 100644 videoCapture.py
diff --git a/__pycache__/faceAnalysis.cpython-38.pyc b/__pycache__/faceAnalysis.cpython-38.pyc
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diff --git a/faceAnalysis.py b/faceAnalysis.py
new file mode 100644
index 0000000..bd4c220
--- /dev/null
+++ b/faceAnalysis.py
@@ -0,0 +1,4 @@
+#Objective of this file is to analyse a face
+
+def detectEmotion(face):
+ return "Happy?"
\ No newline at end of file
diff --git a/imageProcess.py b/imageProcess.py
index e69de29..df0530f 100644
--- a/imageProcess.py
+++ b/imageProcess.py
@@ -0,0 +1,34 @@
+#File to process images
+import cv2
+import faceAnalysis as fa
+
+def imageProcess(image):
+ #Objectives : detect faces, identify emotion associated on it, modify the image by framing faces and writing their emotions associated
+
+ #Import faces and eyes detectors from cv2
+ face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades+'haarcascade_frontalface_default.xml')
+ eye_cascade = cv2.CascadeClassifier(cv2.data.haarcascades+'haarcascade_eye.xml')
+
+ #CV2 detection is made on gray pictures
+ gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
+ faces = face_cascade.detectMultiScale(gray, 1.3, 5) #This return a list of tuple locating faces on image
+
+ #For each face, detect eyes call imageProcess to process the face and modify the image
+ for face in faces:
+ x,y,w,h = face
+
+ #Create blue rectangle around face of thickness 2
+ cv2.rectangle(image, (x,y), (x+w,y+h), (255,0,0), 2 )
+
+ #Select face image
+ face_gray = gray[y:y+h, x:x+w]
+ face_color = image[y:y+h, x:x+w]
+
+ #Detect eyes on the face, create green rectangle
+ eyes = eye_cascade.detectMultiScale(face_gray)
+ for (ex,ey,ew,eh) in eyes:
+ cv2.rectangle(face_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),1)
+
+ #Write emotion on the image
+ emotion = fa.detectEmotion(face_color)
+ cv2.putText(image, emotion, (x,y), cv2.FONT_HERSHEY_SIMPLEX, 1, (255,0,0), 2)
\ No newline at end of file
diff --git a/videoCapture.py b/videoCapture.py
new file mode 100644
index 0000000..7f1882e
--- /dev/null
+++ b/videoCapture.py
@@ -0,0 +1,19 @@
+#Use your camera for processing the video. Stop by pressing Q
+import cv2
+import imageProcess as ip
+
+cap = cv2.VideoCapture(0) #0 means we capture the first camera, your webcam probably
+
+while cap.isOpened():
+ ret, frame = cap.read() #Read next video frame, stop if frame not well read
+ if not ret: break
+
+ ip.imageProcess(frame) #Process frame
+
+ cv2.imshow("Image traitée", frame) #Show processed image in a window
+
+ if cv2.waitKey(1) & 0xFF == ord('q'): #If you press Q, stop the while and so the capture
+ break
+
+cap.release()
+cv2.destroyAllWindows()
\ No newline at end of file
--
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