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Alexandre Gut
2026-03-31 13:28:59 +02:00
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7
OpenCV/tutoriel28/README.md Normal file
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# Tutoriel OpenCV
## Laisser une trace
La vidéo du tutoriel est à l'adresse:
https://www.youtube.com/watch?v=358qiW8nXpw

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OpenCV/tutoriel28/selectionne_couleur.py Normal file
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import cv2
import numpy as np
marge=15
def souris(event, x, y, flags, param):
global lo, hi, color
if event==cv2.EVENT_LBUTTONDBLCLK:
color=image[y, x][0]
if event==cv2.EVENT_MOUSEWHEEL:
if flags<0:
if color>5:
color-=1
else:
if color<250:
color+=1
lo[0]=color-marge
hi[0]=color+marge
color=90
lo=np.array([color-marge, 50, 50])
hi=np.array([color+marge, 255,255])
color_info=(0, 255, 0)
cap=cv2.VideoCapture(0)
cv2.namedWindow('Camera')
cv2.setMouseCallback('Camera', souris)
while True:
ret, frame=cap.read()
image=cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
image=cv2.blur(image, (5, 5))
mask=cv2.inRange(image, lo, hi)
mask=cv2.erode(mask, None, iterations=2)
mask=cv2.dilate(mask, None, iterations=8)
elements=cv2.findContours(mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)[-2]
if len(elements) > 0:
c=max(elements, key=cv2.contourArea)
((x, y), radius)=cv2.minEnclosingCircle(c)
if radius>10:
cv2.circle(frame, (int(x), int(y)), 5, color_info, 10)
cv2.line(frame, (int(x), int(y)), (int(x)+150, int(y)), color_info, 2)
cv2.putText(frame, "Objet !!!", (int(x)+10, int(y) -10), cv2.FONT_HERSHEY_DUPLEX, 1, color_info, 1, cv2.LINE_AA)
cv2.putText(frame, "Couleur: {:d}".format(color), (10, 30), cv2.FONT_HERSHEY_DUPLEX, 1, color_info, 1, cv2.LINE_AA)
cv2.imshow('Camera', frame)
cv2.imshow('Mask', mask)
if cv2.waitKey(1)&0xFF==ord('q'):
break
cap.release()
cv2.destroyAllWindows()

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OpenCV/tutoriel28/suivi.py Normal file
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import cv2
import numpy as np
lo=np.array([60, 30, 30])
hi=np.array([100, 255, 255])
cap=cv2.VideoCapture(0)
width=cap.get(3)
height=cap.get(4)
nbr_point=100
tab_point=np.full((nbr_point, 2), -1, dtype=np.int32)
# mode 0 : point
# mode 1 : ligne
mode=1
degrade=1
taille_objet=15
def dessine_point(tab_point):
for i in range(len(tab_point)):
if tab_point[nbr_point-i-1, 0]!=-1:
if degrade:
couleur=(0, 255-2*(nbr_point-i-1), 0)
else:
couleur=(0, 255, 0)
cv2.circle(frame, (tab_point[nbr_point-i-1, 0], tab_point[nbr_point-i-1, 1]), 5, couleur, 10)
def dessine_ligne(tab_point):
old_x, old_y=(-1, -1)
for i in range(nbr_point):
if tab_point[nbr_point-i-1, 0]!=-1:
if old_x!=-1:
if degrade:
couleur=(0, 255-2*(nbr_point-i-1), 0)
else:
couleur=(0, 255, 0)
cv2.line(frame, (old_x, old_y), (tab_point[nbr_point-i-1, 0], tab_point[nbr_point-i-1, 1]), couleur, 10)
old_x, old_y=(tab_point[nbr_point-i-1, 0], tab_point[nbr_point-i-1, 1])
while True:
ret, frame=cap.read()
image=cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
image=cv2.blur(image, (5, 5))
mask=cv2.inRange(image, lo, hi)
mask=cv2.erode(mask, None, iterations=2)
mask=cv2.dilate(mask, None, iterations=4)
elements=cv2.findContours(mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)[-2]
tab_point=np.roll(tab_point, 1, axis=0)
tab_point[0]=[-1, -1]
if len(elements) > 0:
c=max(elements, key=cv2.contourArea)
((x, y), rayon)=cv2.minEnclosingCircle(c)
if rayon>taille_objet:
tab_point[0]=[int(x), int(y)]
if mode:
dessine_ligne(tab_point)
else:
dessine_point(tab_point)
cv2.rectangle(frame, (0, 0), (int(width), 30), (100, 100, 100), cv2.FILLED)
cv2.putText(frame, "Mode[m]: {:d} Degrade[p]: {:d}".format(mode, degrade), (10, 20), cv2.FONT_HERSHEY_PLAIN, 1, (255, 255, 255), 2)
cv2.imshow('Camera', frame)
cv2.imshow('Mask', mask)
key=cv2.waitKey(1)&0xFF
if key==ord('q'):
break
if key==ord('m'):
mode=not mode
if key==ord('p'):
degrade=not degrade
cap.release()
cv2.destroyAllWindows()

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OpenCV/tutoriel28/suivi_ligne.py Normal file
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import cv2
import numpy as np
lo=np.array([60, 30, 30])
hi=np.array([100, 255, 255])
cap=cv2.VideoCapture(0)
taille_objet=15
nbr_point=100
tab_point=np.full((nbr_point, 2), -1, dtype=np.int32)
while True:
ret, frame=cap.read()
image=cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
image=cv2.blur(image, (5, 5))
mask=cv2.inRange(image, lo, hi)
mask=cv2.erode(mask, None, iterations=2)
mask=cv2.dilate(mask, None, iterations=4)
elements=cv2.findContours(mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)[-2]
tab_point=np.roll(tab_point, 1, axis=0)
tab_point[0]=[-1, -1]
if len(elements) > 0:
c=max(elements, key=cv2.contourArea)
((x, y), rayon)=cv2.minEnclosingCircle(c)
if rayon>taille_objet:
tab_point[0]=[int(x), int(y)]
old_x, old_y=(-1, -1)
for i in range(nbr_point):
if tab_point[nbr_point-i-1, 0]!=-1:
if old_x!=-1:
cv2.line(frame, (old_x, old_y), (tab_point[nbr_point-i-1, 0], tab_point[nbr_point-i-1, 1]), (0, 255-2*(nbr_point-i-1), 0), 10)
#cv2.line(frame, (old_x, old_y), (tab_point[nbr_point-i-1, 0], tab_point[nbr_point-i-1, 1]), (0, 255, 0), 10)
old_x, old_y=(tab_point[nbr_point-i-1, 0], tab_point[nbr_point-i-1, 1])
cv2.imshow('Camera', frame)
cv2.imshow('Mask', mask)
if cv2.waitKey(1)&0xFF==ord('q'):
break
cap.release()
cv2.destroyAllWindows()

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OpenCV/tutoriel28/suivi_point.py Normal file
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import cv2
import numpy as np
lo=np.array([60, 30, 30])
hi=np.array([100, 255, 255])
cap=cv2.VideoCapture(0)
taille_objet=15
nbr_point=100
tab_point=np.full((nbr_point, 2), -1, dtype=np.int32)
while True:
ret, frame=cap.read()
image=cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
image=cv2.blur(image, (5, 5))
mask=cv2.inRange(image, lo, hi)
mask=cv2.erode(mask, None, iterations=2)
mask=cv2.dilate(mask, None, iterations=4)
elements=cv2.findContours(mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)[-2]
tab_point=np.roll(tab_point, 1, axis=0)
tab_point[0]=[-1, -1]
if len(elements) > 0:
c=max(elements, key=cv2.contourArea)
((x, y), rayon)=cv2.minEnclosingCircle(c)
if rayon>taille_objet:
tab_point[0]=[int(x), int(y)]
for i in range(nbr_point):
if tab_point[nbr_point-i-1, 0]!=-1:
cv2.circle(frame, (tab_point[nbr_point-i-1, 0], tab_point[nbr_point-i-1, 1]), 5, (0, 255, 0), 10)
#cv2.circle(frame, (tab_point[nbr_point-i-1, 0], tab_point[nbr_point-i-1, 1]), 5, (0, 255-2*(nbr_point-i-1), 0), 10)
cv2.imshow('Camera', frame)
cv2.imshow('Mask', mask)
if cv2.waitKey(1)&0xFF==ord('q'):
break
cap.release()
cv2.destroyAllWindows()