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from PIL import Image
import numpy as np
import cv2
import os
os.environ["CUDA_VISIBLE_DEVICES"]="0"
def write_video(file_path, frames, fps, reversed = True):
"""
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
:param reversed: if order of images to be reversed (default = True)
"""
if reversed == True:
frames.reverse()
w, h = frames[0].size
fourcc = cv2.VideoWriter_fourcc('m', 'p', '4', 'v')
#fourcc = cv2.VideoWriter_fourcc(*'avc1')
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 image_grid(imgs, rows, cols):
assert len(imgs) == rows*cols
w, h = imgs[0].size
grid = Image.new('RGB', size=(cols*w, rows*h))
grid_w, grid_h = grid.size
for i, img in enumerate(imgs):
grid.paste(img, box=(i%cols*w, i//cols*h))
return grid
def shrink_and_paste_on_blank(current_image, mask_width):
"""
Decreases size of current_image by mask_width pixels from each side,
then adds a mask_width width transparent frame,
so that the image the function returns is the same size as the input.
:param current_image: input image to transform
:param mask_width: width in pixels to shrink from each side
"""
height = current_image.height
width = current_image.width
#shrink down by mask_width
prev_image = current_image.resize((height-2*mask_width,width-2*mask_width))
prev_image = prev_image.convert("RGBA")
prev_image = np.array(prev_image)
#create blank non-transparent image
blank_image = np.array(current_image.convert("RGBA"))*0
blank_image[:,:,3] = 1
#paste shrinked onto blank
blank_image[mask_width:height-mask_width,mask_width:width-mask_width,:] = prev_image
prev_image = Image.fromarray(blank_image)
return prev_image
def dummy(images, **kwargs):
return images, False
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