def main():
# Extract specific number of key frames from video
# if os.name == 'nt':
# multiprocessing.freeze_support()
vd = Video()
# folder to save extracted images
output_folder_video_image = "selectedframes"
out_dir_path = os.path.join(".", output_folder_video_image)
if not os.path.isdir(out_dir_path):
os.mkdir(out_dir_path)
# number of images to be returned
no_of_frames_to_returned = 20
# VIdeo file path
video_file_path = os.path.join(".", "tests", "data", "pos_video.mp4")
print(f"Input video file path = {video_file_path}")
imgs = vd.extract_frames_as_images(no_of_frames=no_of_frames_to_returned,
file_path=video_file_path)
# Save it to disk
for counter, img in enumerate(imgs):
vd.save_frame_to_disk(
img,
file_path=out_dir_path,
file_name="test_" + str(counter),
file_ext=".jpeg",
)
print(f"Exracted key frames file path = {out_dir_path}")
def main():
# Extract specific number of key frames from video
vd = Video()
# folder to save extracted images
output_folder_video_image = "selectedframes"
if not os.path.isdir(os.path.join(".", output_folder_video_image)):
os.mkdir(os.path.join(".", output_folder_video_image))
# number of images to be returned
no_of_frames_to_returned = 12
# VIdeo file path
video_file_path = os.path.join(".", "tests", "data", "pos_video_2.mp4")
print(f"video_file_path = {video_file_path}")
imgs = vd.extract_frames_as_images(no_of_frames=no_of_frames_to_returned,
file_path=video_file_path)
# Save it to disk
for counter, img in enumerate(imgs):
vd.save_frame_to_disk(
img,
file_path=output_folder_video_image,
file_name="test_" + str(counter),
file_ext=".jpeg",
)
def get_key_frames_from_video(path_to_video, no_of_frames):
print('getting key frames from video')
try:
video = Video()
print('begin extraction')
images = video.extract_frames_as_images(no_of_frames=no_of_frames,
file_path=path_to_video)
print('end extraction')
return images
except Exception as e:
print('error getting frames from videos')
print(e)
def main():
# Extract specific number of key frames from video
# if os.name == 'nt':
# multiprocessing.freeze_support()
os.chdir("/content/drive/My Drive")
vid = Video()
# folder to save extracted images
output_folder_path = "selectedframes"
output_directory = os.path.join(".", output_folder_path)
if not os.path.isdir(output_directory):
os.mkdir(output_directory)
# number of images to be returned
needed_frames = 10
# VIdeo file path
video_path = os.path.join("/","content", "drive","My Drive","test2.mp4")
print(f"Input video file path = {video_path}")
images = vid.extract_frames_as_images(
no_of_frames=needed_frames, file_path=video_path
)
# Save it to disk
for counter, img in enumerate(images):
vid.save_frame_to_disk(
img,
file_path=output_directory,
file_name="test_" + str(counter),
file_ext=".jpeg",
)
print(f"Exracted key frames file path = {output_directory}")
#calling the driver function
if __name__ == "__main__":
multiprocessing.set_start_method('spawn', force=True)
main()
def get_key_frames_from_video(path_to_video, no_of_frames):
video = Video()
images = video.extract_frames_as_images(no_of_frames=no_of_frames,
file_path=path_to_video)
return images
print(foldername)
filename = 'drive/My Drive/Processedvideo/highlights_without_replay/clip' + str(
count) + '.mp4'
clip_extraction(filename, foldername)
count = count + 1
from Katna.video import Video
import os
import cv2
vd = Video()
clip_name = os.listdir('drive/My Drive/Processedvideo/highlights')
count1 = 0
for name in clip_name:
count1 = count1 + 1
filename = 'drive/My Drive/Processedvideo/highlights/' + name
imgs = vd.extract_frames_as_images(no_of_frames=30, file_path=filename)
foldername = 'drive/My Drive/Processedvideo/KeyFrames/clip' + str(count1)
if not os.path.exists(foldername):
os.makedirs(foldername)
count2 = 1
for img in imgs:
img_name = foldername + '/' + str(count2) + '.jpg'
print(img_name)
cv2.imwrite(img_name, img)
count2 = count2 + 1
from google.colab.patches import cv2_imshow
for img in imgs:
resized = cv2.resize(img, (500, 500), interpolation=cv2.INTER_AREA)
cv2_imshow(resized)