Initial commit

OpenCV/tutoriel34/detection_v2.py

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+import cv2
+import numpy as np
+import glob
+
+x_min=600
+y_min=350
+x_max=750
+y_max=500
+
+fichiers=glob.glob("poulailler*.jpg")
+for fichier in fichiers:
+    img=cv2.imread(fichier, 1)
+    img_cible=img[y_min:y_max, x_min:x_max]
+    edges=~cv2.Canny(img_cible, 30, 80)
+
+    edges=cv2.erode(edges, None, iterations=3)
+    edges=cv2.dilate(edges, None, iterations=2)
+
+    presence=0
+    elements=cv2.findContours(edges, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)[-2]
+    for e in elements:
+        c=cv2.contourArea(e)
+        if c>150:
+            presence=1
+
+    if presence:
+        cv2.putText(img, "OK", (50, 100), cv2.FONT_HERSHEY_PLAIN, 5, (0, 255, 0), 2, cv2.LINE_AA)
+    else:
+        cv2.putText(img, "KO", (50, 100), cv2.FONT_HERSHEY_PLAIN, 5, (0, 0, 255), 2, cv2.LINE_AA)
+
+    cv2.rectangle(img, (x_min, y_min), (x_max, y_max), (0, 255, 0), 1)
+    cv2.imshow("image", img)
+    cv2.imshow("image2", edges)
+    cv2.waitKey()