From f86a111048002fcc12eb17f8d7d555154dfb972a Mon Sep 17 00:00:00 2001
From: Loic Delattre <loicdelattre38@gmail.com>
Date: Mon, 6 Feb 2023 13:55:46 +0100
Subject: [PATCH] removing all that can be done in Octave :(

---
 RGB_channels.py | 94 ++++++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 93 insertions(+), 1 deletion(-)

diff --git a/RGB_channels.py b/RGB_channels.py
index fc908dc..4d22594 100644
--- a/RGB_channels.py
+++ b/RGB_channels.py
@@ -4,10 +4,34 @@ import csv
 import os
 import os.path
 
+<<<<<<< Updated upstream
 #create a directory to store the RGB datas ouptut
 path_to_script = os.path.dirname(os.path.abspath(__file__))
 if os.path.exists(path_to_script + r"\RGB database") == False:
 	os.mkdir(path_to_script + r"\RGB database")
+=======
+############################
+# Task: Initating local files 
+#
+# Input: 
+#	- None
+#
+# Output:
+# - Empty directories to store the RGB data, number of frames stored
+#
+# author: Delattre Loic, Dey Maryne (loic.delattre@ecam.fr, maryne.dey@ecam.fr)
+# date: 06/02/2023
+########################
+
+def rep_files_init():
+	#create a directory to store the RGB datas ouptut
+	path_to_script = os.path.dirname(os.path.abspath(__file__))
+	if os.path.exists(path_to_script + r"\RGB_database") == False:
+		os.mkdir(path_to_script + r"\RGB_database")
+	
+	onlyfiles = next(os.walk(path_to_script + r"\frames"))[2] #get the amount of frames previously extracted
+	frames_num = len(onlyfiles)-1
+>>>>>>> Stashed changes
 
 onlyfiles = next(os.walk(path_to_script + r"\frames"))[2] #get the amount of frames previously extracted
 frames_num = len(onlyfiles)-1
@@ -21,7 +45,27 @@ read_img = cv2.imread(image)
 #cv2.waitKey(0)
 
 
+############################
+# Task: Extracting the RGB values from every pixel in a given frame 
+#
+# Input: 
+#	- A frame of the face video, the frame number
+#
+# Output:
+#   - Three lists containing all of the RGB values of the specific frame
+#
+# author: Delattre Loic, Dey Maryne (loic.delattre@ecam.fr, maryne.dey@ecam.fr)
+# date: 06/02/2023
+########################
+
 def RGB_dataframe(img, itr):
+<<<<<<< Updated upstream
+=======
+	img = cv2.imread(image)
+	face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
+	eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
+
+>>>>>>> Stashed changes
 	gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
 	faces = face_cascade.detectMultiScale(gray, 1.3, 5)
 
@@ -52,7 +96,7 @@ def RGB_dataframe(img, itr):
 	#extra values in x and y in the parameters are adjustements made after manual testing
 	cv2.rectangle(roi_color, (fx,fy-150),(fx+100,fy-20),(0,127,255),2)
 
-	imS = cv2.resize(img, (960, 540)) 
+	'''imS = cv2.resize(img, (960, 540)) 
 	#cv2.imshow('img',imS)
 	#cv2.waitKey(0)
 	x1 = x + fx
@@ -69,14 +113,60 @@ def RGB_dataframe(img, itr):
 	for i in range(0, size_list[0]):
 		for j in range(0, size_list[1]):
 			k = imRGB[i,j]
+<<<<<<< Updated upstream
 			pixel_values.append(k)
 	fields = ['R', 'G', 'B'] 
 	with open('RGB database/RGB' + str(itr) + '_data.csv', 'w', newline="") as f:
+=======
+			R.append(k[0])
+			G.append(k[1])
+			B.append(k[2])'''
+		
+	return R, G, B
+
+############################
+# Task: Exporting to a csv file the RGB traces averages of all the frame of a given video 
+#
+# Input: 
+#	- a folder with all the frames of one video
+#
+# Output:
+#   - One CSV with all RGB average dats
+#
+# author: Delattre Loic, Dey Maryne (loic.delattre@ecam.fr, maryne.dey@ecam.fr)
+# date: 06/02/2023
+########################
+
+def average_and_export():
+	i = 0
+	count = 0.1
+	pixel_values = []
+	frames_num = rep_files_init()
+	while i < frames_num:
+		i += 1
+		image = "frames/frame" + str(i) + ".jpg"
+		#Bug here inside of func with min funcs of empty data
+		try:
+			out_colors = RGB_dataframe(image, i)
+		except:
+			out_colors = out_colors
+		Ravg = sum(out_colors[0])/len(out_colors[0])
+		Gavg = sum(out_colors[1])/len(out_colors[1])
+		Bavg = sum(out_colors[2])/len(out_colors[2])
+		pixel_values.append([Ravg, Gavg, Bavg])
+		if i/frames_num >= count:
+			print(str(round(count*100))+ "% of the database exported to csv")
+			count += 0.1
+	
+	with open('RGB database/RGB_data.csv', 'w', newline="") as f:
+		fields = ['R', 'G', 'B'] 
+>>>>>>> Stashed changes
 		write = csv.writer(f)
 		write.writerow(fields)
 		write.writerows(pixel_values)
 	return
 
+<<<<<<< Updated upstream
 i = 0
 count = 0.1
 while i < frames_num:
@@ -85,3 +175,5 @@ while i < frames_num:
 	if i/frames_num >= count:
 		print(str(round(count*100))+ "% of the database exported to csv")
 		count += 0.1
+=======
+>>>>>>> Stashed changes