делаю запись фильтра и все нормально.Код работает, но в конце видео не сохраняется как MP4.У меня есть эта ошибка:
OpenCV: FFMPEG: tag 0x44495658/'XVID' is not supported with codec id 12 and format 'mp4 / MP4 (MPEG-4 Part 14)'
OpenCV: FFMPEG: fallback to use tag 0x7634706d/'mp4v'
Использование MAC и код работает правильно, но не сохраняет.Я пытался найти более подробную информацию об этой ошибке, но мне не повезло.Я использую в качестве редактора Sublime.Код работает на Atom жестко, но выдает эту ошибку:
OpenCV: FFMPEG: tag 0x44495658/'XVID' is not supported with codec id 12 and format 'mp4 / MP4 (MPEG-4 Part 14)'
OpenCV: FFMPEG: fallback to use tag 0x7634706d/'mp4v'
2018-05-28 15:04:25.274 Python[17483:2224774] AVF: AVAssetWriter status: Cannot create file
....
import numpy as np
import cv2
import random
from utils import CFEVideoConf, image_resize
import glob
import math
cap = cv2.VideoCapture(0)
frames_per_seconds = 24
save_path='saved-media/filter.mp4'
config = CFEVideoConf(cap, filepath=save_path, res='360p')
out = cv2.VideoWriter(save_path, config.video_type, frames_per_seconds, config.dims)
def verify_alpha_channel(frame):
try:
frame.shape[3] # looking for the alpha channel
except IndexError:
frame = cv2.cvtColor(frame, cv2.COLOR_BGR2BGRA)
return frame
def apply_hue_saturation(frame, alpha, beta):
hsv_image = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
h, s, v = cv2.split(hsv_image)
s.fill(199)
v.fill(255)
hsv_image = cv2.merge([h, s, v])
out = cv2.cvtColor(hsv_image, cv2.COLOR_HSV2BGR)
frame = verify_alpha_channel(frame)
out = verify_alpha_channel(out)
cv2.addWeighted(out, 0.25, frame, 1.0, .23, frame)
return frame
def apply_color_overlay(frame, intensity=0.5, blue=0, green=0, red=0):
frame = verify_alpha_channel(frame)
frame_h, frame_w, frame_c = frame.shape
sepia_bgra = (blue, green, red, 1)
overlay = np.full((frame_h, frame_w, 4), sepia_bgra, dtype='uint8')
cv2.addWeighted(overlay, intensity, frame, 1.0, 0, frame)
return frame
def apply_sepia(frame, intensity=0.5):
frame = verify_alpha_channel(frame)
frame_h, frame_w, frame_c = frame.shape
sepia_bgra = (20, 66, 112, 1)
overlay = np.full((frame_h, frame_w, 4), sepia_bgra, dtype='uint8')
cv2.addWeighted(overlay, intensity, frame, 1.0, 0, frame)
return frame
def alpha_blend(frame_1, frame_2, mask):
alpha = mask/255.0
blended = cv2.convertScaleAbs(frame_1*(1-alpha) + frame_2*alpha)
return blended
def apply_circle_focus_blur(frame, intensity=0.2):
frame = verify_alpha_channel(frame)
frame_h, frame_w, frame_c = frame.shape
y = int(frame_h/2)
x = int(frame_w/2)
mask = np.zeros((frame_h, frame_w, 4), dtype='uint8')
cv2.circle(mask, (x, y), int(y/2), (255,255,255), -1, cv2.LINE_AA)
mask = cv2.GaussianBlur(mask, (21,21),11 )
blured = cv2.GaussianBlur(frame, (21,21), 11)
blended = alpha_blend(frame, blured, 255-mask)
frame = cv2.cvtColor(blended, cv2.COLOR_BGRA2BGR)
return frame
def portrait_mode(frame):
cv2.imshow('frame', frame)
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
_, mask = cv2.threshold(gray, 120,255,cv2.THRESH_BINARY)
mask = cv2.cvtColor(mask, cv2.COLOR_GRAY2BGRA)
blured = cv2.GaussianBlur(frame, (21,21), 11)
blended = alpha_blend(frame, blured, mask)
frame = cv2.cvtColor(blended, cv2.COLOR_BGRA2BGR)
return frame
def apply_invert(frame):
return cv2.bitwise_not(frame)
while(True):
# Capture frame-by-frame
ret, frame = cap.read()
frame = cv2.cvtColor(frame, cv2.COLOR_BGR2BGRA)
#cv2.imshow('frame',frame)
hue_sat = apply_hue_saturation(frame.copy(), alpha=3, beta=3)
cv2.imshow('hue_sat', hue_sat)
sepia = apply_sepia(frame.copy(), intensity=.8)
cv2.imshow('sepia',sepia)
color_overlay = apply_color_overlay(frame.copy(), intensity=.8, red=123, green=231)
cv2.imshow('color_overlay',color_overlay)
invert = apply_invert(frame.copy())
cv2.imshow('invert', invert)
blur_mask = apply_circle_focus_blur(frame.copy())
cv2.imshow('blur_mask', blur_mask)
portrait = portrait_mode(frame.copy())
cv2.imshow('portrait',portrait)
if cv2.waitKey(20) & 0xFF == ord('q'):
break
# When everything done, release the capture
cap.release()
cv2.destroyAllWindows()