From dec3207f1e4e1765b16d70466f2001d4d3ed4e14 Mon Sep 17 00:00:00 2001
From: dhananjaymenon <72432304+dhananjaymenon@users.noreply.github.com>
Date: Sat, 5 Jun 2021 18:05:49 +0400
Subject: [PATCH] Create SpeedRadar2.py

---
 SpeedRadar2.py | 102 +++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 102 insertions(+)
 create mode 100644 SpeedRadar2.py

diff --git a/SpeedRadar2.py b/SpeedRadar2.py
new file mode 100644
index 0000000..1833f76
--- /dev/null
+++ b/SpeedRadar2.py
@@ -0,0 +1,102 @@
+import cv2
+from tracker2 import *
+import numpy as np
+end = 0
+
+#Creater Tracker Object
+tracker = EuclideanDistTracker()
+
+#cap = cv2.VideoCapture("Resources/traffic3.mp4")
+cap = cv2.VideoCapture("Resources/traffic4.mp4")
+f = 25
+w = int(1000/(f-1))
+print(w)
+
+
+#Object Detection
+object_detector = cv2.createBackgroundSubtractorMOG2(history=None,varThreshold=None)
+#100,5
+
+#KERNALS
+kernalOp = np.ones((3,3),np.uint8)
+kernalOp2 = np.ones((5,5),np.uint8)
+kernalCl = np.ones((11,11),np.uint8)
+fgbg=cv2.createBackgroundSubtractorMOG2(detectShadows=True)
+kernal_e = np.ones((5,5),np.uint8)
+
+while True:
+    ret,frame = cap.read()
+    frame = cv2.resize(frame, None, fx=0.5, fy=0.5)
+    height,width,_ = frame.shape
+    #print(height,width)
+    #540,960
+
+
+    #Extract ROI
+    roi = frame[50:540,200:960]
+
+    #MASKING METHOD 1
+    mask = object_detector.apply(roi)
+    _, mask = cv2.threshold(mask, 250, 255, cv2.THRESH_BINARY)
+
+    #DIFFERENT MASKING METHOD 2 -> This is used
+    fgmask = fgbg.apply(roi)
+    ret, imBin = cv2.threshold(fgmask, 200, 255, cv2.THRESH_BINARY)
+    mask1 = cv2.morphologyEx(imBin, cv2.MORPH_OPEN, kernalOp)
+    mask2 = cv2.morphologyEx(mask1, cv2.MORPH_CLOSE, kernalCl)
+    e_img = cv2.erode(mask2, kernal_e)
+
+
+    contours,_ = cv2.findContours(e_img,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)
+    detections = []
+
+    for cnt in contours:
+        area = cv2.contourArea(cnt)
+        #THRESHOLD
+        if area > 1000:
+            x,y,w,h = cv2.boundingRect(cnt)
+            cv2.rectangle(roi,(x,y),(x+w,y+h),(0,255,0),3)
+            detections.append([x,y,w,h])
+
+    #Object Tracking
+    boxes_ids = tracker.update(detections)
+    for box_id in boxes_ids:
+        x,y,w,h,id = box_id
+
+
+        if(tracker.getsp(id)<tracker.limit()):
+            cv2.putText(roi,str(id)+" "+str(tracker.getsp(id)),(x,y-15), cv2.FONT_HERSHEY_PLAIN,1,(255,255,0),2)
+            cv2.rectangle(roi, (x, y), (x + w, y + h), (0, 255, 0), 3)
+        else:
+            cv2.putText(roi,str(id)+ " "+str(tracker.getsp(id)),(x, y-15),cv2.FONT_HERSHEY_PLAIN, 1,(0, 0, 255),2)
+            cv2.rectangle(roi, (x, y), (x + w, y + h), (0, 165, 255), 3)
+
+        s = tracker.getsp(id)
+        if (tracker.f[id] == 1 and s != 0):
+            tracker.capture(roi, x, y, h, w, s, id)
+
+    # DRAW LINES
+
+    cv2.line(roi, (0, 410), (960, 410), (0, 0, 255), 2)
+    cv2.line(roi, (0, 430), (960, 430), (0, 0, 255), 2)
+
+    cv2.line(roi, (0, 235), (960, 235), (0, 0, 255), 2)
+    cv2.line(roi, (0, 255), (960, 255), (0, 0, 255), 2)
+
+
+    #DISPLAY
+    #cv2.imshow("Mask",mask2)
+    #cv2.imshow("Erode", e_img)
+    cv2.imshow("ROI", roi)
+
+    key = cv2.waitKey(w-10)
+    if key==27:
+        tracker.end()
+        end=1
+        break
+
+if(end!=1):
+    tracker.end()
+
+cap.release()
+cv2.destroyAllWindows()