def video_shot(args):
start_time = time.time()
captures = {}
cut_list = []
cut_video = CutVideo()
init_extract = InitExtract()
ncpus = cpu_count()
queue_list = []
sensitivity = 0.35
temporary = Temporary()
video_process = VideoProcess()
try:
file_input_name = args[args.index("-i") + 1]
output_directory = args[args.index("-o") + 1]
except ValueError:
sys.exit("Usage: videoShot -i <inputFile> -o <outputDirectory>")
temporary_directory = temporary.createDirectory()
print "Converting video to ogg..."
start_time2 = time.time()
convert_video_to_ogg(file_input_name, temporary_directory)
start_time3 = time.time()
ogg_video_path = os.path.join(temporary_directory, "video_converted.ogg")
output_segmentation_directory = output_directory + "/segmentation_video/"
file_name_save = output_segmentation_directory + "/transitions_video/"
file_video_save = output_segmentation_directory + "/parts_videos/"
file_audio_save = output_segmentation_directory + "/video_audio/"
thumbnails_save_path = output_segmentation_directory + "/thumbnails/"
create_directory(
[output_segmentation_directory, file_name_save, file_video_save, file_audio_save, thumbnails_save_path]
)
file_input_name = ogg_video_path
capture = init_extract.createCapture(file_input_name)
video_duration = get_video_duration(ogg_video_path)
fps = cvGetCaptureProperty(capture, CV_CAP_PROP_FPS)
total_frames = round(video_duration * fps, 0)
frames_bloc = int(total_frames / ncpus)
split_video(temporary_directory, ncpus, video_duration, ogg_video_path)
list_videos_path = get_videos_path(temporary_directory)
captures[1] = init_extract.createCapture(list_videos_path[0])
cvSaveImage(file_name_save + "trans_time_1.jpg", init_extract.initFrameCapture(captures[1]))
for i in range(2, ncpus + 1):
captures[i] = init_extract.createCapture(list_videos_path[i - 1])
print "Finding transitions..."
video_process.create_video_process(
captures, sensitivity, frames_bloc, file_input_name, file_name_save, file_video_save, ncpus, queue_list
)
for i in range(ncpus):
cut_list.extend(queue_list[i].get())
cut_list = [round(x, 6) for x in cut_list]
time_cut_list = cut_video.position_cut_list(cut_list, ncpus)
print "Generating Segments..."
video_process.create_cut_process(file_input_name, file_video_save, time_cut_list, ncpus)
get_output_audio(file_audio_save, ogg_video_path)
get_video_thumbnails(file_video_save, thumbnails_save_path)
temporary.removeDirectory(temporary_directory)
print
print "Conversion Time: %.2f s" % (start_time3 - start_time2)
print "Segmentation Time: %.2f s" % ((time.time() - start_time) - (start_time3 - start_time2))
print "Segmentation completed in : %.2f s" % (time.time() - start_time)
def video_shot(args):
start_time = time.time()
captures = {}
cut_list = []
cut_video = CutVideo()
init_extract = InitExtract()
ncpus = cpu_count()
queue_list = []
sensitivity = 0.35
temporary = Temporary()
video_process = VideoProcess()
try:
file_input_name = args[args.index('-i') + 1]
output_directory = args[args.index('-o') + 1]
except ValueError:
sys.exit('Usage: videoShot -i <inputFile> -o <outputDirectory>')
temporary_directory = temporary.createDirectory()
print "Converting video to ogg..."
start_time2 = time.time()
convert_video_to_ogg(file_input_name, temporary_directory)
start_time3 = time.time()
ogg_video_path = os.path.join(temporary_directory, "video_converted.ogg")
output_segmentation_directory = output_directory + '/segmentation_video/'
file_name_save = (output_segmentation_directory + '/transitions_video/')
file_video_save = (output_segmentation_directory + '/parts_videos/')
file_audio_save = (output_segmentation_directory + '/video_audio/')
thumbnails_save_path = (output_segmentation_directory + '/thumbnails/')
create_directory([output_segmentation_directory, file_name_save, file_video_save, file_audio_save, thumbnails_save_path])
file_input_name = ogg_video_path
capture = init_extract.createCapture(file_input_name)
video_duration = get_video_duration(ogg_video_path)
fps = cvGetCaptureProperty(capture, CV_CAP_PROP_FPS)
total_frames = round(video_duration * fps, 0)
frames_bloc = int(total_frames / ncpus)
split_video(temporary_directory, ncpus, video_duration, ogg_video_path)
list_videos_path = get_videos_path(temporary_directory)
captures[1] = init_extract.createCapture(list_videos_path[0])
cvSaveImage(file_name_save + 'trans_time_1.jpg', init_extract.initFrameCapture(captures[1]))
for i in range(2, ncpus + 1):
captures[i] = init_extract.createCapture(list_videos_path[i-1])
print "Finding transitions..."
video_process.create_video_process(captures, sensitivity, frames_bloc, file_input_name, file_name_save, file_video_save, ncpus, queue_list)
for i in range(ncpus):
cut_list.extend(queue_list[i].get())
cut_list = [round(x,6) for x in cut_list]
time_cut_list = cut_video.position_cut_list(cut_list, ncpus)
print "Generating Segments..."
video_process.create_cut_process(file_input_name, file_video_save, time_cut_list, ncpus)
get_output_audio(file_audio_save, ogg_video_path)
get_video_thumbnails(file_video_save, thumbnails_save_path)
temporary.removeDirectory(temporary_directory)
print
print "Conversion Time: %.2f s" % (start_time3 - start_time2)
print "Segmentation Time: %.2f s" % ((time.time() - start_time) - (start_time3 - start_time2))
print "Segmentation completed in : %.2f s" % (time.time() - start_time)
def create_cut_process(self, FileName, fileVideoSave, file_atual, corte,
ncpus):
cutvideo = CutVideo()
processos2 = {}
for i in range(1, ncpus + 1):
processos2[i] = Process(target=cutvideo.cut_video,
args=(FileName, fileVideoSave, file_atual,
corte[i - 1], i))
self.start_cut_process(processos2, ncpus)
def videoShot(args):
w = time.time()
file_atual = os.getcwd()
initExtract = InitExtract()
videoprocess = VideoProcess()
shotvideo = ShotVideo()
cutvideo = CutVideo()
captures = {}
cut_list=[]
sensitivity = 0.35
ncpus = cpu_count()
queue_list=[]
FileName = args[args.index('-i') + 1]
output = args[args.index('-o') + 1]
fileNameSave = (output + '/transitions_' + 'video' + '/')
fileVideoSave = (output + '/parts_' + 'video'+'/')
for files in (fileNameSave, fileVideoSave):
try:
shutil.rmtree(files)
except:
pass
os.mkdir(files)
capture = initExtract.createCapture(FileName)
total_frames = cvGetCaptureProperty(capture, CV_CAP_PROP_FRAME_COUNT)
# if utilizado para quando o video nao possui o metadado de total frame
if total_frames == 0:
total_frames = shotvideo.contFrames(capture)
frames_bloc = int(total_frames / ncpus)
captures[1] = initExtract.createCapture(FileName)
cvSaveImage(fileNameSave + 'transition25.jpg', initExtract.initFrameCapture(captures[1]))
for i in range(2, ncpus + 1):
captures[i] = initExtract.createCapture(FileName)
captures[i] = initExtract.pass_frames(captures[i], frames_bloc, i - 1)
j = time.time()
videoprocess.create_video_process(captures,sensitivity,frames_bloc,FileName,fileNameSave,fileVideoSave,file_atual,ncpus,queue_list)
for i in range(ncpus):
cut_list.extend(queue_list[i].get())
cut_list = [round(x,6) for x in cut_list]
corte = cutvideo.position_cut_list(cut_list,ncpus)
videoprocess.create_cut_process(FileName,fileVideoSave,file_atual,corte,ncpus)
print "A segmentacao foi concluida em : %.2f segundos " % (time.time() - w)
