79 lines
1.9 KiB
Python
79 lines
1.9 KiB
Python
import ffmpeg
|
|
import numpy as np
|
|
import matplotlib
|
|
import cv2
|
|
import os
|
|
import sys
|
|
from matplotlib import pyplot as plt
|
|
|
|
cap = cv2.VideoCapture('./vid/zootopia.mkv')
|
|
frameCount = cap.get(cv2.CAP_PROP_FRAME_COUNT)
|
|
frameRate = cap.get(cv2.CAP_PROP_FPS)
|
|
|
|
for frameID in range(int(frameRate), int(frameCount), int(frameRate/5)):
|
|
cap.set(cv2.CAP_PROP_POS_FRAMES, frameID)
|
|
isSuccess, img = cap.read()
|
|
if isSuccess:
|
|
cv2.imshow('img', img)
|
|
imgL = np.split(img, 2, 1)[0]
|
|
imgR = np.split(img, 2, 1)[1]
|
|
cv2.waitKey(1)
|
|
stereo = cv2.StereoSGBM_create(numDisparities=96, blockSize=7)
|
|
disparity = stereo.compute(imgL, imgR)
|
|
plt.title("SGBM")
|
|
plt.imshow(disparity)
|
|
plt.show()
|
|
|
|
|
|
|
|
|
|
|
|
# 中文文件名无法识别
|
|
# imgDirs = os.listdir("./pic_en")
|
|
|
|
|
|
#def read_frame_as_jpeg(in_filename, frame_num):
|
|
# out, err = (
|
|
# ffmpeg
|
|
# .input(in_filename)
|
|
# .filter('select', 'gte(n,{})'.format(frame_num))
|
|
# .output('pipe:', vframes=1, format='image2', vcodec='mjpeg')
|
|
# .run(capture_stdout=True)
|
|
# )
|
|
# return out
|
|
|
|
# ffmpeg.input("./vid/venom.mkv")
|
|
# ffmpeg.
|
|
|
|
#img = read_frame_as_jpeg("./vid/venom.mkv", 648)
|
|
# print(type(img))
|
|
#img = cv2.imdecode(img,0)
|
|
# print(img)
|
|
# cv2.imshow("img",img)
|
|
#imgL = np.split(img, 2, 1)[0]
|
|
#imgR = np.split(img, 2, 1)[1]
|
|
#stereo = cv2.StereoBM_create(numDisparities=64, blockSize=11)
|
|
#disparity = stereo.compute(imgL, imgR)
|
|
# plt.imshow(disparity)
|
|
# plt.show()
|
|
|
|
|
|
|
|
|
|
#for imgDir in imgDirs:
|
|
# dir = "./pic_en/"+imgDir
|
|
# print(dir)
|
|
# img = cv2.imread(dir)
|
|
|
|
# imgL = np.split(img, 2, 1)[0]
|
|
# imgR = np.split(img, 2, 1)[1]
|
|
# print(img.shape)
|
|
# print(imgL.shape)
|
|
# print(imgR.shape)
|
|
# cv2.imshow("img", img)
|
|
# stereo = cv2.StereoSGBM_create(numDisparities=96, blockSize=11)
|
|
# disparity = stereo.compute(imgL, imgR)
|
|
|
|
# plt.imshow(disparity)
|
|
# plt.show()
|