def concatenate_movies_in_folder(pathfilter, output_path, frame_size=(2048,2048,3)):
for file in BatchProcess(pathfilter=pathfilter):
print(pathfilter+file.split('/')[-1])
writevid = WriteVideo(filename=output_path+file.split('/')[-1], frame_size=frame_size)
for filename in BatchProcess(pathfilter=file[:-4]+"*.mp4", reverse_sort=True):
readvid=ReadVideo(filename)
for frame in range(readvid.num_frames):
writevid.add_frame(readvid.read_next_frame())
readvid.close()
writevid.close()
def extract_section_movies_in_folder(pathfilter, output_path, start_frame=0, stop_frame=1, step=1, frame_size=(2048,2048,3)):
for file in BatchProcess(pathfilter=pathfilter):
print(pathfilter+file.split('/')[-1])
writevid = WriteVideo(filename=output_path+file.split('/')[-1], frame_size=frame_size)
for filename in BatchProcess(pathfilter=file[:-4]+"*.mp4", reverse_sort=True):
readvid=ReadVideo(filename)
for frame in range(start_frame,stop_frame,step):
writevid.add_frame(readvid.read_next_frame())
readvid.close()
writevid.close()
from Generic.filedialogs import BatchProcess
from Generic.video import ReadVideo
import numpy as np
from Generic.images import display
import cv2
if __name__ == '__main__':
for file in BatchProcess(
pathfilter=
'/media/ppzmis/data/ActiveMatter/Microscopy/190820bacteriaand500nmparticles/videos/joined/StreamDIC???.mp4'
):
readvid = ReadVideo(filename=file)
frame_init = readvid.read_next_frame() #.astype(np.int32)
counter = 1
sz = np.shape(frame_init)
frame_assemble = np.reshape(frame_init, (sz[0], sz[1] * sz[2]))
for i in range(readvid.num_frames - 1):
frame = readvid.read_next_frame().astype(np.int32)
new_frame = np.reshape(frame, (sz[0], sz[1] * sz[2]))
frame_assemble = np.sum((frame_assemble, new_frame),
axis=0,
dtype=np.int32)
counter = counter + 1
frame = (frame_assemble / counter).astype(np.uint8)
frame_assemble = np.reshape(frame, (sz[0], sz[1], sz[2]))
cv2.imwrite(file[:-4] + '_bkgimg.png', frame_assemble)
readvid.close()