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OpenCV/tutoriel4/README.md

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+# Tutoriel OpenCV
+## Détection de couleur/objet avec la fonction inRange
+
+Si vous souhaitez me soutenir: <https://fr.tipeee.com/l42-project>
+
+Pour utiliser OpenCV, il suffit d'installer le package suivant:
+
+`# pip install opencv-python`
+
+Je vous conseille aussi d'installer:
+
+`# pip install opencv-contrib-python`
+
+La vidéo du tutoriel est à l'adresse:
+https://www.youtube.com/watch?v=VKSHZGLg4zk

OpenCV/tutoriel4/detection_couleur.py

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+import cv2
+import numpy as np
+
+lo=np.array([95, 100, 50])
+hi=np.array([105, 255, 255])
+color_infos=(0, 255, 255)
+cap=cv2.VideoCapture(0)
+
+while True:
+    ret, frame=cap.read()
+    image=cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
+    mask=cv2.inRange(image, lo, hi)
+    image=cv2.blur(image, (7, 7))
+    mask=cv2.erode(mask, None, iterations=4)
+    mask=cv2.dilate(mask, None, iterations=4)
+    image2=cv2.bitwise_and(frame, frame, mask=mask)
+    elements=cv2.findContours(mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)[-2]
+    if len(elements) > 0:
+        c=max(elements, key=cv2.contourArea)
+        ((x, y), rayon)=cv2.minEnclosingCircle(c)
+        if rayon>30:
+            cv2.circle(image2, (int(x), int(y)), int(rayon), color_infos, 2)
+            cv2.circle(frame, (int(x), int(y)), 5, color_infos, 10)
+            cv2.line(frame, (int(x), int(y)), (int(x)+150, int(y)), color_infos, 2)
+            cv2.putText(frame, "Objet !!!", (int(x)+10, int(y) -10), cv2.FONT_HERSHEY_DUPLEX, 1, color_infos, 1, cv2.LINE_AA)
+    cv2.imshow('Camera', frame)
+    cv2.imshow('image2', image2)
+    cv2.imshow('Mask', mask)
+    if cv2.waitKey(1)&0xFF==ord('q'):
+        break
+cap.release()
+cv2.destroyAllWindows()

OpenCV/tutoriel4/detection_couleur_raspberry.py

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+import cv2
+import numpy as np
+import picamera
+import picamera.array
+
+lo=np.array([95, 100, 50])
+hi=np.array([105, 255, 255])
+color_infos=(0, 255, 255)
+WIDTH=640
+HEIGHT=480
+
+with picamera.PiCamera() as camera:
+    with picamera.array.PiRGBArray(camera) as stream:
+        camera.resolution=(WIDTH, HEIGHT)
+        while True:
+            camera.capture(stream, 'bgr', use_video_port=True)
+            image=cv2.cvtColor(stream.array, cv2.COLOR_BGR2HSV)
+            mask=cv2.inRange(image, lo, hi)
+            image=cv2.blur(image, (7, 7))
+            mask=cv2.erode(mask, None, iterations=4)
+            mask=cv2.dilate(mask, None, iterations=4)
+            image2=cv2.bitwise_and(stream.array, stream.array, mask=mask)
+            elements=cv2.findContours(mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)[-2]
+            if len(elements) > 0:
+                c=max(elements, key=cv2.contourArea)
+                ((x, y), rayon)=cv2.minEnclosingCircle(c)
+                if rayon>30:
+                    cv2.circle(image2, (int(x), int(y)), int(rayon), color_infos, 2)
+                    cv2.circle(stream.array, (int(x), int(y)), 5, color_infos, 10)
+                    cv2.line(stream.array, (int(x), int(y)), (int(x)+150, int(y)), color_infos, 2)
+                    cv2.putText(stream.array, "Objet !!!", (int(x)+10, int(y) -10), cv2.FONT_HERSHEY_DUPLEX, 1, color_infos, 1, cv2.LINE_AA)
+            cv2.imshow('Camera', stream.array)
+            cv2.imshow('image2', image2)
+            cv2.imshow('Mask', mask)
+            if cv2.waitKey(1)&0xFF==ord('q'):
+                break
+            stream.seek(0)
+            stream.truncate()                        
+cv2.destroyAllWindows()