add person detection

personDetection/person_detection_video.py

+import cv2
+import datetime
+import imutils
+import numpy as np
+
+protopath = "MobileNetSSD_deploy.prototxt"
+modelpath = "MobileNetSSD_deploy.caffemodel"
+detector = cv2.dnn.readNetFromCaffe(prototxt=protopath, caffeModel=modelpath)
+#
+
+
+CLASSES = ["background", "aeroplane", "bicycle", "bird", "boat",
+           "bottle", "bus", "car", "cat", "chair", "cow", "diningtable",
+           "dog", "horse", "motorbike", "person", "pottedplant", "sheep",
+           "sofa", "train", "tvmonitor"]
+
+
+def main():
+    cap = cv2.VideoCapture('test_video.mp4')
+
+    fps_start_time = datetime.datetime.now()
+    fps = 0
+    total_frames = 0
+
+    while True:
+        ret, frame = cap.read()
+        frame = imutils.resize(frame, width=600)
+        total_frames = total_frames + 1
+
+        (H, W) = frame.shape[:2]
+
+        blob = cv2.dnn.blobFromImage(frame, 0.007843, (W, H), 127.5)
+
+        detector.setInput(blob)
+        person_detections = detector.forward()
+
+        for i in np.arange(0, person_detections.shape[2]):
+            confidence = person_detections[0, 0, i, 2]
+            if confidence > 0.5:
+                idx = int(person_detections[0, 0, i, 1])
+
+                if CLASSES[idx] != "person":
+                    continue
+
+                person_box = person_detections[0, 0, i, 3:7] * np.array([W, H, W, H])
+                (startX, startY, endX, endY) = person_box.astype("int")
+
+                cv2.rectangle(frame, (startX, startY), (endX, endY), (0, 0, 255), 2)
+
+        fps_end_time = datetime.datetime.now()
+        time_diff = fps_end_time - fps_start_time
+        if time_diff.seconds == 0:
+            fps = 0.0
+        else:
+            fps = (total_frames / time_diff.seconds)
+
+        fps_text = "FPS: {:.2f}".format(fps)
+
+        cv2.putText(frame, fps_text, (5, 30), cv2.FONT_HERSHEY_COMPLEX_SMALL, 1, (0, 0, 255), 1)
+
+        cv2.imshow("Application", frame)
+        key = cv2.waitKey(1)
+        if key == ord('q'):
+            break
+
+    cv2.destroyAllWindows()
+
+
+main()