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#!/usr/bin/env python | |
import numpy as np | |
import cv2 | |
from sys import argv | |
# Gaussian radius (should really be an argument): | |
r = 21 | |
src, dst = argv[1:] | |
def get_sharpness(img): | |
img = img.mean(axis=2) | |
blurred = cv2.GaussianBlur(img, (r, r), 0) | |
sharp = np.abs(img - blurred) | |
return sharp | |
viddy = cv2.VideoCapture(src) | |
width = int(viddy.get(3)) # can you tell this API is by C programmers? | |
height = int(viddy.get(4)) | |
frame_count = int(viddy.get(7)) | |
best_pixels = np.empty((height, width, 3)) # 3 channels | |
best_sharpness = get_sharpness(best_pixels) | |
for frame_n in range(frame_count): | |
print "%s/%s" % (frame_n, frame_count) | |
okay, frame = viddy.read() | |
if not okay: break | |
if frame_n == 0: | |
best_pixels = frame | |
sharpness = get_sharpness(frame) | |
better_indexes = np.where(sharpness > best_sharpness) | |
best_pixels[better_indexes] = frame[better_indexes] | |
best_sharpness[better_indexes] = sharpness[better_indexes] | |
cv2.imwrite(dst, best_pixels) |
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