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video2video_color.py
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video2video_color.py
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"""
@author: Viet Nguyen <[email protected]>
"""
import argparse
import cv2
import numpy as np
from PIL import Image, ImageFont, ImageDraw, ImageOps
def get_args():
parser = argparse.ArgumentParser("Image to ASCII")
parser.add_argument("--input", type=str, default="data/input.mp4", help="Path to input video")
parser.add_argument("--output", type=str, default="data/output.mp4", help="Path to output video")
parser.add_argument("--mode", type=str, default="complex", choices=["simple", "complex"],
help="10 or 70 different characters")
parser.add_argument("--background", type=str, default="black", choices=["black", "white"],
help="background's color")
parser.add_argument("--num_cols", type=int, default=100, help="number of character for output's width")
parser.add_argument("--scale", type=int, default=1, help="upsize output")
parser.add_argument("--fps", type=int, default=0, help="frame per second")
parser.add_argument("--overlay_ratio", type=float, default=0.2, help="Overlay width ratio")
args = parser.parse_args()
return args
def main(opt):
if opt.mode == "simple":
CHAR_LIST = '@%#*+=-:. '
else:
CHAR_LIST = "$@B%8&WM#*oahkbdpqwmZO0QLCJUYXzcvunxrjft/\|()1{}[]?-_+~<>i!lI;:,\"^`'. "
if opt.background == "white":
bg_code = (255, 255, 255)
else:
bg_code = (0, 0, 0)
font = ImageFont.truetype("fonts/DejaVuSansMono-Bold.ttf", size=int(10 * opt.scale))
cap = cv2.VideoCapture(opt.input)
if opt.fps == 0:
fps = int(cap.get(cv2.CAP_PROP_FPS))
else:
fps = opt.fps
num_chars = len(CHAR_LIST)
num_cols = opt.num_cols
while cap.isOpened():
flag, frame = cap.read()
if flag:
image = frame
else:
break
height, width, _ = image.shape
cell_width = width / opt.num_cols
cell_height = 2 * cell_width
num_rows = int(height / cell_height)
if num_cols > width or num_rows > height:
print("Too many columns or rows. Use default setting")
cell_width = 6
cell_height = 12
num_cols = int(width / cell_width)
num_rows = int(height / cell_height)
char_width, char_height = font.getsize("A")
out_width = char_width * num_cols
out_height = 2 * char_height * num_rows
out_image = Image.new("RGB", (out_width, out_height), bg_code)
draw = ImageDraw.Draw(out_image)
for i in range(num_rows):
for j in range(num_cols):
partial_image = image[int(i * cell_height):min(int((i + 1) * cell_height), height),
int(j * cell_width):min(int((j + 1) * cell_width), width), :]
partial_avg_color = np.sum(np.sum(partial_image, axis=0), axis=0) / (cell_height * cell_width)
partial_avg_color = tuple(partial_avg_color.astype(np.int32).tolist())
char = CHAR_LIST[min(int(np.mean(partial_image) * num_chars / 255), num_chars - 1)]
draw.text((j * char_width, i * char_height), char, fill=partial_avg_color, font=font)
if opt.background == "white":
cropped_image = ImageOps.invert(out_image).getbbox()
else:
cropped_image = out_image.getbbox()
out_image = out_image.crop(cropped_image)
out_image = np.array(out_image)
try:
out
except:
out = cv2.VideoWriter(opt.output, cv2.VideoWriter_fourcc(*"XVID"), fps,
((out_image.shape[1], out_image.shape[0])))
if opt.overlay_ratio:
height, width, _ = out_image.shape
overlay = cv2.resize(frame, (int(width * opt.overlay_ratio), int(height * opt.overlay_ratio)))
out_image[height - int(height * opt.overlay_ratio):, width - int(width * opt.overlay_ratio):, :] = overlay
out.write(out_image)
cap.release()
out.release()
if __name__ == '__main__':
opt = get_args()
main(opt)