Spaces:
Sleeping
Sleeping
File size: 1,465 Bytes
31f45e8 2a37fe9 31f45e8 2a37fe9 31f45e8 2a37fe9 31f45e8 2a37fe9 31f45e8 2a37fe9 31f45e8 2a37fe9 31f45e8 2a37fe9 31f45e8 2a37fe9 31f45e8 2a37fe9 31f45e8 2a37fe9 31f45e8 2a37fe9 31f45e8 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 |
import cv2
import numpy as np
from PIL import Image
def write_video(file_path, frames, fps):
"""
Writes frames to an mp4 video file
:param file_path: Path to output video, must end with .mp4
:param frames: List of PIL.Image objects
:param fps: Desired frame rate
"""
w, h = frames[0].size
fourcc = cv2.VideoWriter_fourcc("m", "p", "4", "v")
writer = cv2.VideoWriter(file_path, fourcc, fps, (w, h))
for frame in frames:
np_frame = np.array(frame.convert("RGB"))
cv_frame = cv2.cvtColor(np_frame, cv2.COLOR_RGB2BGR)
writer.write(cv_frame)
writer.release()
def dummy(images, **kwargs):
return images, False
def preprocess_image(current_image, steps, image_size):
next_image = np.array(current_image.convert("RGBA")) * 0
prev_image = current_image.resize((image_size - 2 * steps, image_size - 2 * steps))
prev_image = prev_image.convert("RGBA")
prev_image = np.array(prev_image)
next_image[:, :, 3] = 1
next_image[steps : image_size - steps, steps : image_size - steps, :] = prev_image
prev_image = Image.fromarray(next_image)
return prev_image
def preprocess_mask_image(current_image):
mask_image = np.array(current_image)[:, :, 3] # assume image has alpha mask (use .mode to check for "RGBA")
mask_image = Image.fromarray(255 - mask_image).convert("RGB")
current_image = current_image.convert("RGB")
return current_image, mask_image
|