def import_video_with_gpx(video_file, gpx_file, output_path, dx, dt=None, start_time=None, visual=False, image_description=None):
points = geotag_from_gpx.get_lat_lon_time(gpx_file)
orientation = video_orientation(video_file)
if start_time:
video_start_time = dateutil.parser.parse(start_time)
else:
try:
exifdate = Popen(['exiftool', '-CreateDate', '-b', video_file], stdout=PIPE).stdout.read()
video_start_time = datetime.datetime.strptime(exifdate,'%Y:%m:%d %H:%M:%S')
except:
print 'Video recording timestamp not found. Using first GPS point time.'
video_start_time = points[0][0]
try:
duration = Popen(['exiftool', '-MediaDuration', '-b', video_file], stdout=PIPE).stdout.read()
video_duration = float(duration)
video_end_time = video_start_time + datetime.timedelta(seconds=video_duration)
except:
print 'Video end time not found. Using last GPS point time.'
video_end_time = points[-1][0]
print 'GPS track starts at:', points[0][0]
print 'Video starts at:', video_start_time
# Extract video frames.
opensfm_io.mkdir_p(output_path)
key_points = geotag_from_gpx.sample_gpx(points, dx, dt)
cap = cv2.VideoCapture(video_file)
image_files = []
for p in key_points:
dt = (p[0] - video_start_time).total_seconds()
if dt > 0:
CAP_PROP_POS_MSEC = cv2.CAP_PROP_POS_MSEC if context.OPENCV3 else cv2.cv.CV_CAP_PROP_POS_MSEC
cap.set(CAP_PROP_POS_MSEC, int(dt * 1000))
ret, frame = cap.read()
if ret:
print 'Grabbing frame for time', p[0]
filepath = os.path.join(output_path, p[0].strftime("%Y_%m_%d_%H_%M_%S_%f")[:-3] + '.jpg')
cv2.imwrite(filepath, frame)
geotag_from_gpx.add_exif_using_timestamp(filepath, points, timestamp=p[0], orientation=orientation)
# Display the resulting frame
if visual:
# Display the resulting frame
max_display_size = 800
resize_ratio = float(max_display_size) / max(frame.shape[0], frame.shape[1])
frame = cv2.resize(frame, dsize=(0, 0), fx=resize_ratio, fy=resize_ratio)
cv2.imshow('frame', frame)
if cv2.waitKey(1) & 0xFF == 27:
break
image_files.append(filepath)
# When everything done, release the capture
cap.release()
if visual:
cv2.destroyAllWindows()
return image_files
def import_video_with_gpx(video_file, gpx_file, output_path, dx, dt=None, start_time=None, visual=False, image_description=None):
points = geotag_from_gpx.get_lat_lon_time(gpx_file)
orientation = video_orientation(video_file)
if start_time:
video_start_time = dateutil.parser.parse(start_time)
else:
try:
exifdate = Popen(['exiftool', '-CreateDate', '-b', video_file], stdout=PIPE).stdout.read()
video_start_time = datetime.datetime.strptime(exifdate,'%Y:%m:%d %H:%M:%S')
except:
print 'Video recording timestamp not found. Using first GPS point time.'
video_start_time = points[0][0]
try:
duration = Popen(['exiftool', '-MediaDuration', '-b', video_file], stdout=PIPE).stdout.read()
video_duration = float(duration)
video_end_time = video_start_time + datetime.timedelta(seconds=video_duration)
except:
print 'Video end time not found. Using last GPS point time.'
video_end_time = points[-1][0]
print 'GPS track starts at:', points[0][0]
print 'Video starts at:', video_start_time
# Extract video frames.
io.mkdir_p(output_path)
key_points = geotag_from_gpx.sample_gpx(points, dx, dt)
cap = cv2.VideoCapture(video_file)
image_files = []
for p in key_points:
dt = (p[0] - video_start_time).total_seconds()
if dt > 0:
CAP_PROP_POS_MSEC = cv2.CAP_PROP_POS_MSEC if context.OPENCV3 else cv2.cv.CV_CAP_PROP_POS_MSEC
cap.set(CAP_PROP_POS_MSEC, int(dt * 1000))
ret, frame = cap.read()
if ret:
print 'Grabbing frame for time', p[0]
filepath = os.path.join(output_path, p[0].strftime("%Y_%m_%d_%H_%M_%S_%f")[:-3] + '.jpg')
cv2.imwrite(filepath, frame)
geotag_from_gpx.add_exif_using_timestamp(filepath, points, timestamp=p[0], orientation=orientation)
# Display the resulting frame
if visual:
# Display the resulting frame
max_display_size = 800
resize_ratio = float(max_display_size) / max(frame.shape[0], frame.shape[1])
frame = cv2.resize(frame, dsize=(0, 0), fx=resize_ratio, fy=resize_ratio)
cv2.imshow('frame', frame)
if cv2.waitKey(1) & 0xFF == 27:
break
image_files.append(filepath)
# When everything done, release the capture
cap.release()
if visual:
cv2.destroyAllWindows()
return image_files