fix compiled version, improve contrast

detect.py

@@ -332,12 +332,12 @@ def detect(calibration_width, img_file, show, quick):
                     cv2.putText(orig, str(objtype),
                                 (int(x - 25), int(y + radius + 20)
                                  ), cv2.FONT_HERSHEY_SIMPLEX,
-                                0.55, (0, 0, 255), 2)
+                                0.6, (50, 50, 220), 2)
                 else:
                     cv2.putText(orig, str(objtype),
                                 (int(xpos2 + 10), int(ypos2 + 20)
                                  ), cv2.FONT_HERSHEY_SIMPLEX,
-                                0.55, (0, 0, 255), 2)
+                                0.6, (50, 50, 220), 2)
                 output = ""
                 objname = objtype;
                 if objtype == "Unknown":
@@ -351,14 +351,14 @@ def detect(calibration_width, img_file, show, quick):
                 print(objname)
                 if circular:
                     cv2.putText(orig, output,  # print data
-                                (int(x - 25), int(y + radius + 35)
+                                (int(x - 25), int(y + radius + 40)
                                  ), cv2.FONT_HERSHEY_SIMPLEX,
-                                0.5, (0, 0, 255), 1)
+                                0.5, (50, 50, 220), 1)
                 else:
                     cv2.putText(orig, output,  # print data
-                                (int(xpos2 + 10), int(ypos2 + 35)
+                                (int(xpos2 + 10), int(ypos2 + 40)
                                  ), cv2.FONT_HERSHEY_SIMPLEX,
-                                0.5, (0, 0, 255), 1)
+                                0.5, (50, 50, 220), 1)
 
         # show the output image
                 if show:

run_detect.py

@@ -5,14 +5,13 @@ from imutils.video import FPS
 calibration_width = 0.75
 image = "img7.jpg"
 images = ("img.jpg", "img2.jpg", "img3.jpg", "img4.jpg", "img5.jpg", "img6.jpg", "img7.jpg", "img8.jpg")
-show = False
+video = False
-video = True
 def go():
-    #for file in images:
+    for file in images:
-    detect.detect(calibration_width, "img7.jpg", show)
+        detect.detect(calibration_width, file, True, False)
 
 if not video:
-	elapsed_time = timeit.timeit(go, number=3)/3
+	elapsed_time = timeit.timeit(go, number=1)/1
 	print(elapsed_time)
 else :
     #tcp capture = cv2.VideoCapture('udpsrc port=5001  ! gdpdepay !  rtph264depay ! avdec_h264 ! videoconvert ! videorate ! video/x-raw,framerate=5/1 ! appsink', cv2.CAP_GSTREAMER)