changes go gp

traitementV2/accpt4.py

@@ -7,22 +7,25 @@ def opencsv(file):
     with open(file, newline='') as csvfile:
         return [row for row in csv.DictReader(csvfile, delimiter=';')]
     
-data = opencsv('traitementV2/vit13.txt')
+data = opencsv('vt-pt4only.txt')
 
 
 for i in range (len(data)-plusoumoins):
-    accel = (float(data[i+plusoumoins]['vitesse']) - float(data[i-plusoumoins]['vitesse'])) / (float(data[i+plusoumoins]['temps']) - float(data[i-plusoumoins]['temps']))*100
+    accel = (float(data[i+plusoumoins]['vitesse']) - float(data[i-plusoumoins]['vitesse'])) / (float(data[i+plusoumoins]['temps']) - float(data[i-plusoumoins]['temps']))*1000
     print(f'accel {i}:', accel)
 
     plt.figure(plusoumoins,figsize=[16,9])
     plt.xlim([-1,476])
-    plt.ylim([-1, 1])
+    plt.ylim([-3, 10])
 
-    plt.plot([i],[accel], marker='o', linestyle='-')
-    # plt.show
-    # plt.pause(0.00001)
-    if i == 457-plusoumoins-2:
-        plt.savefig(f'traitementV2/accel±{plusoumoins}.png')
-        plt.clf
-    # with open("traitementV2/vit13.txt", 'a', encoding='utf-8') as file:
-    #     file.write('\n' + str(i) + ';' + str(vitesse))
+    plt.xlabel("Numéro de l'image", fontsize = 16)
+    plt.ylabel("Accélération (sans unité)", fontsize = 16)
+    plt.xticks([0,50,100,150,200,250,300,350,400,450],fontsize = 14)
+    plt.yticks([-3,0,10], fontsize = 14)
+    
+    plt.plot([i],[accel], marker='o', linestyle='-', color='blue')
+
+    if i == 457-plusoumoins-4:
+        print('saving')
+        plt.savefig(f'acceleration/accel±{plusoumoins}.png')
+        plt.clf

traitementV2/extract + calibrated (traitement).py

@@ -104,8 +104,8 @@ while cap.isOpened():
             tosave[key] = val
         print(tosave)
 
-        with open("traitementV2/distance.txt", 'a', encoding='utf-8') as file:
-                file.write('\n' + str(tosave))
+        # with open("traitementV2/distance.txt", 'a', encoding='utf-8') as file:
+        #         file.write('\n' + str(tosave))
 
         if cv2.waitKey(25) & 0xFF == ord('q'):break
         frame_nb = frame_nb + 1

traitementV2/savevideo.py

@@ -1,30 +0,0 @@
-import os
-import cv2
-
-def create_video_from_images(image_folder, output_video_path, fps=15):
-    image_files = sorted([f for f in os.listdir(image_folder) if f.endswith('.png')])
-
-    if not image_files:
-        print("Aucune image .png")
-        return
-
-    image_path = os.path.join(image_folder, image_files[0])
-    img = cv2.imread(image_path)
-    height, width, _ = img.shape
-
-    fourcc = cv2.VideoWriter_fourcc(*'mp4v')
-    video_writer = cv2.VideoWriter(output_video_path, fourcc, fps, (width, height))
-
-    for image_file in image_files:
-        image_path = os.path.join(image_folder, image_file)
-        img = cv2.imread(image_path)
-        video_writer.write(img)
-
-    video_writer.release()
-    print(f"Vidéo créée avec succès : {output_video_path}")
-
-if __name__ == "__main__":
-    input_image_folder = "traitement/vidresult"
-    output_video_path = "traitement/video_sortie.mp4"
-
-    create_video_from_images(input_image_folder, output_video_path)

traitementV2/visu.py

@@ -1,67 +0,0 @@
-import matplotlib.pyplot as plt
-from colour import Color
-
-def rainbow_gradient(num_colors):
-    colors = []
-    gradient = list(Color("violet").range_to(Color("red"), num_colors))
-    for color in gradient:
-        colors.append(color.hex_l)
-    return colors
-
-framenb = 1
-
-keyvalues = []
-
-with open('traitementV2/distance.txt', 'r') as f:
-    lignes = f.readlines()
-    for ligne in lignes:
-        line = eval(ligne)
-
-        allkeys = list(line.keys())
-        allkeys.sort()
-        linedict = {i: line[i] for i in allkeys}
-        
-        linedict = {cle: valeur for cle, valeur in linedict.items() if valeur >= 0}
-
-        for key, value in linedict.items():
-            if key not in keyvalues:
-                keyvalues.append(key)
-
-keypositions = {}
-
-for key, i in zip(keyvalues, range(1, len(keyvalues)+1)):
-    keypositions[key] = i
-print('keypositions: ', keypositions)
-colors = rainbow_gradient(len(keypositions)+1)
-
-with open('traitementV2/distance.txt', 'r') as f:
-    lignes = f.readlines()
-    for ligne in lignes:
-        line = eval(ligne)
-
-        allkeys = list(line.keys())
-        allkeys.sort()
-        linedict = {i: line[i] for i in allkeys}
-        
-        linedict = {cle: valeur for cle, valeur in linedict.items() if valeur >= 0}     
-
-
-
-        plt.figure(1,figsize=[16,9])
-        plt.xlim([-1,200])
-        plt.ylim([-1, len(keyvalues)+1])
-
-        plt.grid()
-
-        nb = 0
-
-        for key, value in linedict.items():
-            plt.plot([0,value],[keypositions[key], keypositions[key]], marker='o', linestyle='-', color=colors[keypositions[key]])       # , color=colors[key]
-
-            nb += 1
-
-        plt.draw()
-        plt.pause(0.0001)
-        plt.savefig(f'traitement/vidresult/{framenb}.png')
-        framenb += 1
-        plt.clf()

traitementV2/visupt4.py

@@ -12,7 +12,7 @@ framenb = 1
 
 keyvalues = []
 
-with open('traitementV2/distance.txt', 'r') as f:
+with open('distance.txt', 'r') as f:
     lignes = f.readlines()
     for ligne in lignes:
         line = eval(ligne)
@@ -34,7 +34,7 @@ for key, i in zip(keyvalues, range(1, len(keyvalues)+1)):
 print('keypositions: ', keypositions)
 colors = rainbow_gradient(len(keypositions)+1)
 
-with open('traitementV2/distance.txt', 'r') as f:
+with open('distance.txt', 'r') as f:
     lignes = f.readlines()
     for ligne in lignes:
         line = eval(ligne)
@@ -49,6 +49,11 @@ with open('traitementV2/distance.txt', 'r') as f:
         plt.xlim([-1,780])
         plt.ylim([-20, 150])
 
+        plt.xlabel("Numéro de l'image", fontsize = 16)
+        plt.ylabel("Distance au point d'origine", fontsize = 16)
+        plt.xticks(fontsize = 14)
+        plt.yticks(fontsize = 14)
+
         plt.grid()
 
         nb = 0
@@ -57,7 +62,7 @@ with open('traitementV2/distance.txt', 'r') as f:
             if key == 13:
                 # print('value: ', value)
                 # print(framenb)
-                with open("traitementV2/pt13.txt", 'a', encoding='utf-8') as file:
+                with open("pt4only.txt", 'a', encoding='utf-8') as file:
                     file.write('\n' + str(framenb) + ';' + str(value))
 
                 plt.plot([framenb],[value], marker='o', linestyle='-', color=colors[keypositions[key]])       # , color=colors[key]
@@ -67,6 +72,6 @@ with open('traitementV2/distance.txt', 'r') as f:
         # plt.draw()
         # plt.pause(0.0001)
         if framenb == 780:
-            plt.savefig(f'traitementV2/{framenb}.png')
-        framenb += 1
+            plt.savefig('position-temps-pt4.png')
+        framenb += 1 
         # plt.clf()

traitementV2/vit13.txt

@@ -1,457 +0,0 @@
-temps;vitesse
-0;0.2203695636911355
-1;0.22161122417978193
-2;0.2218895757246934
-3;0.22414714122121102
-4;0.2251793424582029
-5;0.22640301448957026
-6;0.22637916369574068
-7;0.22773771622202058
-8;0.22773771622202058
-9;0.23076676980392818
-10;0.2320941807387388
-11;0.23329454949710868
-12;0.23463617025213993
-13;0.23565445618186323
-14;0.23565445618186323
-15;0.23807971549773826
-16;0.23872824527431533
-17;0.23936223880725904
-18;0.23972979102989075
-19;-0.0
-20;-0.0
-21;0.011960565173266524
-22;0.01148819777981944
-23;0.0004725094603026778
-24;0.011260481393283802
-25;0.011260481393283802
-26;0.011746828823665586
-27;0.0010351763898071233
-28;0.012582311854087959
-29;0.012582311854087959
-30;0.012582311854087959
-31;0.01355018199671011
-32;0.01355018199671011
-33;0.01355018199671011
-34;0.01355018199671011
-35;0.015054516640458959
-36;-0.012109053184948499
-37;0.013902814872813295
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-40;0.014478578893954213
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-44;-0.0
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-46;-0.0
-47;0.012759016576168847
-48;0.013906765733465639
-49;0.01333100171232472
-50;0.01333100171232472
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-62;-0.0
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-66;-0.0005719851361558731
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traitementV2/vt-pt4only.txt

@@ -0,0 +1,455 @@
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traitementV2/vtpt4.py

@@ -1,28 +1,42 @@
 import csv
 import matplotlib.pyplot as plt
 
-plusoumoins = 19
+# plusoumoins = 6
 
 def opencsv(file):
     with open(file, newline='') as csvfile:
         return [row for row in csv.DictReader(csvfile, delimiter=';')]
     
-data = opencsv('traitementV2/pt13.txt')
+data = opencsv('pt4only.txt')
 
+def tester(plusoumoins):
+    for i in range (len(data)-plusoumoins):
 
-for i in range (len(data)-plusoumoins):
-    vitesse = -(float(data[i+plusoumoins]['distance']) - float(data[i-plusoumoins]['distance'])) / (float(data[i+plusoumoins]['temps']) - float(data[i-plusoumoins]['temps']))
-    # print(f'vitesse {i}:', -vitesse)
+        ##corection des points manquants
+        if i <plusoumoins:
+            vitesse = -(float(data[i+1]['distance']) - float(data[i-1]['distance'])) / (float(data[i+1]['temps']) - float(data[i-1]['temps']))
+            if vitesse>0.05 or vitesse<-0.05:
+                vitesse=0
+        else :
+            vitesse = -(float(data[i+plusoumoins]['distance']) - float(data[i-plusoumoins]['distance'])) / (float(data[i+plusoumoins]['temps']) - float(data[i-plusoumoins]['temps']))
+        print(f'vitesse {i}:', vitesse)
 
-    plt.figure(plusoumoins,figsize=[16,9])
-    plt.xlim([-1,476])
-    plt.ylim([-1, 1])
+        plt.figure(plusoumoins,figsize=[16,9])
+        plt.xlim([-1,476])
+        plt.ylim([-0.3, 1])
+        plt.xlabel("Numéro de l'image", fontsize = 16)
+        plt.ylabel("Vitesse (sans unité)", fontsize = 16)
+        plt.xticks([0,50,100,150,200,250,300,350,400,450,500],fontsize = 14)
+        # plt.yticks([-0.3,0,1], fontsize = 14)
+        plt.yticks([i/100 for i in range(-30, 100, 5)], fontsize = 14)
 
-    plt.plot([i],[vitesse], marker='o', linestyle='-')
-    # plt.show
-    # plt.pause(0.00001)
-    # if i == 474-plusoumoins:
-    #     plt.savefig(f'traitementV2/vitesse±{plusoumoins}.png')
-    #     plt.clf
-    with open("traitementV2/vit13.txt", 'a', encoding='utf-8') as file:
-        file.write('\n' + str(i) + ';' + str(vitesse))
+        plt.plot([i],[vitesse], marker='o', linestyle='-', color='blue')
+
+        if i == 474-plusoumoins:
+            plt.savefig(f'vitesse/vitesse±{plusoumoins}.png')
+            plt.clf
+        
+        # with open("vt-pt4only.txt", 'a', encoding='utf-8') as file:
+        #     file.write('\n' + str(i) + ';' + str(vitesse))
+
+tester(21)

traitementV2/vtpt4mod.py

@@ -1,35 +0,0 @@
-import csv
-import matplotlib.pyplot as plt
-
-# plusoumoins = 6
-
-def opencsv(file):
-    with open(file, newline='') as csvfile:
-        return [row for row in csv.DictReader(csvfile, delimiter=';')]
-    
-data = opencsv('traitementV2/pt13.txt')
-
-def tester(plusoumoins):
-    for i in range (len(data)-plusoumoins):
-    # print(data[i+1]['temps'])
-    # print(data[i-1]['temps'])
-    # print(data[i+1]['distance'])
-    # print(data[i-1]['distance'])
-        vitesse = (float(data[i+plusoumoins]['distance']) - float(data[i-plusoumoins]['distance'])) / (float(data[i+plusoumoins]['temps']) - float(data[i-plusoumoins]['temps']))
-        print(f'vitesse {i}:', -vitesse)
-
-        plt.figure(plusoumoins,figsize=[16,9])
-        plt.xlim([-1,476])
-        plt.ylim([-1, 1])
-
-        plt.plot([i],[-vitesse], marker='o', linestyle='-')
-        # plt.show
-        # plt.pause(0.00001)
-        if i == 474-plusoumoins:
-            plt.savefig(f'traitementV2/vitesse±{plusoumoins}.png')
-            plt.clf
-
-# for i in range(1, 20):
-#     tester(i)
-
-tester(100)