CARIA.2.0

Precedent repo CARIA :
Ajout de nouveau modele.
Travail sur multiple ia.
...

server-ia/Camera_Identification_VitesseRoadSign/houghcircles.py

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+import cv2
+import numpy as np
+# Tuto25[OpenCV] Lecture des panneaux de vitesse p.1 (houghcircles) 14min
+param1=30
+param2=55
+dp=1.0
+video_path = "server-ia/data/videos/ville.mp4"
+
+cap=cv2.VideoCapture(video_path)
+
+while True:
+    ret, frame=cap.read()
+    gray=cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
+    circles=cv2.HoughCircles(gray, cv2.HOUGH_GRADIENT, dp, 20, param1=param1, param2=param2, minRadius=10, maxRadius=50)
+    if circles is not None:
+        circles=np.around(circles).astype(np.int32)
+        for i in circles[0, :]:
+            if i[2]!=0:
+                cv2.circle(frame, (i[0], i[1]), i[2], (0, 255, 0), 4)
+    cv2.putText(frame, "[i|k]dp: {:4.2f}  [o|l]param1: {:d}  [p|m]param2: {:d}".format(dp, param1, param2), (10, 40), cv2.FONT_HERSHEY_COMPLEX_SMALL, 1, (255, 0, 0), 1)
+    cv2.imshow("Video", frame)
+    key=cv2.waitKey(1)&0xFF
+    if key==ord('q'):
+        quit()
+    if key==ord('i'):
+        dp=min(10, dp+0.1)
+    if key==ord('k'):
+        dp=max(0.1, dp-0.1)
+    if key==ord('o'):
+        param1=min(255, param1+1)
+    if key==ord('l'):
+        param1=max(1, param1-1)
+    if key==ord('p'):
+        param2=min(255, param2+1)
+    if key==ord('m'):
+        param2=max(1, param2-1)
+cv2.destroyAllWindows()