def track_specific_image(video_name,
object_image,
ssim_thresh=0.7,
class_name=None):
"""
This function tracks to find a provided object from the video and track it.
"""
video_stream = cv2.VideoCapture(video_name)
tracker = Tracker()
found = False
Deleted = False
object_image = cv2.imread(object_image)
if class_name is None:
predictions = detect(yolo, object_image, classes)
_, names = get_boxes(predictions)
if len(names) != 0:
class_name = names[0]
while cv2.waitKey(1) < 0:
has_frame, current_frame = video_stream.read()
if has_frame:
start_time = time.perf_counter()
current_frame = cv2.rotate(current_frame, cv2.ROTATE_90_CLOCKWISE)
predictions = detect(yolo, current_frame, classes)
boxes, names = get_boxes(predictions)
tracker.update(boxes, names)
if not found:
class_name, found = tracker.find_matching_object(
current_frame, object_image, 1, ssim_thresh, class_name)
if found and not Deleted:
box = tracker.registered_ids[class_name]
del tracker.registered_ids[class_name]
del tracker.disappeared[class_name]
del tracker.colors[class_name]
tracker.registered_ids['Target found!'] = box
tracker.disappeared['Target found!'] = 0
tracker.colors['Target found!'] = [0, 0, 255]
Deleted = True
for label in tracker.registered_ids:
x, y, w, h = tracker.registered_ids[label]
c = tracker.colors[label]
cv2.rectangle(current_frame, (int(x - w / 2), int(y - h / 2)),
(int(x + w / 2), int(y + h / 2)), c, 2)
cv2.putText(current_frame, label, (x, y - 2),
cv2.FONT_HERSHEY_SIMPLEX, 0.75, c, 2)
time_spent = time.perf_counter() - start_time
label = 'Current FPS is: %.2f' % (1 / time_spent)
cv2.putText(current_frame, label, (0, 15),
cv2.FONT_HERSHEY_SIMPLEX, 0.75, (0, 255, 0), 2)
cv2.imshow("", current_frame)
else:
print('End of the video reached!')
cv2.waitKey(100)
break
