AtomicSpectrum243
diff --git a/‎CarParkPos‎
521 Bytes b/‎CarParkPos‎
521 Bytes
diff --git a/‎ParkingSpacePicker.py‎
Lines changed: 31 additions & 0 deletions b/‎ParkingSpacePicker.py‎
Lines changed: 31 additions & 0 deletions
diff --git a/‎TniPark.mp4‎
19.6 MB b/‎TniPark.mp4‎
19.6 MB
diff --git a/‎TniParkImg.png‎
3.24 MB b/‎TniParkImg.png‎
3.24 MB
diff --git a/‎TniParkPos‎
163 Bytes b/‎TniParkPos‎
163 Bytes
diff --git a/‎carPark.mp4‎
10.1 MB b/‎carPark.mp4‎
10.1 MB
diff --git a/‎carParkImg.png‎
988 KB b/‎carParkImg.png‎
988 KB
diff --git a/‎main.py‎
Lines changed: 56 additions & 0 deletions b/‎main.py‎
Lines changed: 56 additions & 0 deletions
@@ -0,0 +1,31 @@
+import cv2
+import pickle
+
+width, height = 107, 48
+
+try:
+    with open('TniParkPos', 'rb') as f:
+        posList = pickle.load(f)
+except:
+    posList = []
+
+def mouseClick(events, x, y, flags, params):
+    if events == cv2.EVENT_LBUTTONDOWN:
+        posList.append((x, y))
+    if events == cv2.EVENT_RBUTTONDOWN:
+        for i, pos in enumerate(posList):
+            x1, y1 = pos
+            if x1 < x < x1 + width and y1 < y < y1 + height:
+                posList.pop(i)
+
+    with open('TniParkPos', 'wb') as f:
+        pickle.dump(posList, f)
+
+while True:
+    img = cv2.imread('TniParkImg.png')
+    for pos in posList:
+        cv2.rectangle(img, pos, (pos[0] + width, pos[1] + height), (255, 0, 255), 2)
+
+    cv2.imshow("Image", img)
+    cv2.setMouseCallback("Image", mouseClick)
+    cv2.waitKey(1)
@@ -0,0 +1,56 @@
+import cv2
+import pickle
+import cvzone
+import numpy as np
+
+# Video feed
+cap = cv2.VideoCapture('TniPark.mp4')
+
+with open('TniParkPos', 'rb') as f:
+    posList = pickle.load(f)
+
+width, height = 107, 48
+
+def checkParkingSpace(imgPro):
+    spaceCounter = 0
+
+    for pos in posList:
+        x, y = pos
+
+        imgCrop = imgPro[y:y + height, x:x + width]
+        # cv2.imshow(str(x * y), imgCrop)
+        count = cv2.countNonZero(imgCrop)
+
+        if count < 900:
+            color = (0, 255, 0)
+            thickness = 5
+            spaceCounter += 1
+        else:
+            color = (0, 0, 255)
+            thickness = 2
+
+        cv2.rectangle(img, pos, (pos[0] + width, pos[1] + height), color, thickness)
+        cvzone.putTextRect(img, str(count), (x, y + height - 3), scale=1,
+                           thickness=2, offset=0, colorR=color)
+
+    cvzone.putTextRect(img, f'Free Parking: {spaceCounter}/{len(posList)}', (100, 50), scale=3,
+                       thickness=5, offset=20, colorR=(0, 0, 0))
+
+while True:
+
+    if cap.get(cv2.CAP_PROP_POS_FRAMES) == cap.get(cv2.CAP_PROP_FRAME_COUNT):
+        cap.set(cv2.CAP_PROP_POS_FRAMES, 0)
+    success, img = cap.read()
+    imgGray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+    imgBlur = cv2.GaussianBlur(imgGray, (3, 3), 1)
+    imgThreshold = cv2.adaptiveThreshold(imgBlur, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C,
+                                         cv2.THRESH_BINARY_INV, 25, 16)
+    imgMedian = cv2.medianBlur(imgThreshold, 5)
+    kernel = np.ones((3, 3), np.uint8)
+    imgDilate = cv2.dilate(imgMedian, kernel, iterations=1)
+
+    checkParkingSpace(imgDilate)
+    cv2.imshow("Image", img)
+    # cv2.imshow("ImageBlur", imgBlur)
+    # cv2.imshow("ImageThres", imgMedian)
+    cv2.waitKey(10)