2019-04-29 09:50:26 +08:00
|
|
|
|
import ffmpeg
|
|
|
|
|
import numpy as np
|
|
|
|
|
import matplotlib
|
|
|
|
|
import cv2
|
|
|
|
|
import os
|
2019-04-29 14:10:03 +08:00
|
|
|
|
import sys
|
2019-04-29 09:50:26 +08:00
|
|
|
|
from matplotlib import pyplot as plt
|
2019-05-07 18:29:36 +08:00
|
|
|
|
from scipy import stats
|
2019-04-29 09:50:26 +08:00
|
|
|
|
|
2019-05-06 16:53:20 +08:00
|
|
|
|
|
2019-05-04 15:58:25 +08:00
|
|
|
|
'''
|
|
|
|
|
TODO:
|
|
|
|
|
0:读取视频 √
|
|
|
|
|
1:获取视差 √
|
|
|
|
|
2:获取运动矢量 √
|
|
|
|
|
3:确定舒适度
|
|
|
|
|
4:加舒适度水印
|
|
|
|
|
...
|
|
|
|
|
'''
|
2019-04-29 18:04:53 +08:00
|
|
|
|
|
2019-05-07 11:17:35 +08:00
|
|
|
|
# 打开视频文件
|
2019-05-02 14:35:40 +08:00
|
|
|
|
def openVid():
|
2019-05-07 18:29:36 +08:00
|
|
|
|
fileName = input("video path: ./vid/")
|
|
|
|
|
fileName = "./vid/" + fileName
|
2019-05-02 14:35:40 +08:00
|
|
|
|
while not os.path.isfile(fileName):
|
2019-05-07 18:29:36 +08:00
|
|
|
|
if os.path.isfile(fileName + ".mkv"):
|
|
|
|
|
fileName = fileName + ".mkv"
|
|
|
|
|
break
|
2019-05-02 14:35:40 +08:00
|
|
|
|
print("file doesn't exist!")
|
2019-05-07 18:29:36 +08:00
|
|
|
|
fileName = input("video path: ./vid/")
|
|
|
|
|
fileName = "./vid/" + fileName
|
2019-05-02 14:35:40 +08:00
|
|
|
|
cap = cv2.VideoCapture(fileName)
|
2019-05-06 16:53:20 +08:00
|
|
|
|
if cap.isOpened():
|
2019-05-02 14:35:40 +08:00
|
|
|
|
return cap
|
2019-05-06 16:53:20 +08:00
|
|
|
|
else:
|
|
|
|
|
print("cannot open video.")
|
|
|
|
|
sys.exit()
|
2019-05-02 14:35:40 +08:00
|
|
|
|
|
|
|
|
|
|
2019-05-07 11:17:35 +08:00
|
|
|
|
# 获取视频总帧数
|
2019-05-02 14:35:40 +08:00
|
|
|
|
def getFrameCount(cap):
|
2019-05-06 16:53:20 +08:00
|
|
|
|
if cap.isOpened():
|
2019-05-02 14:35:40 +08:00
|
|
|
|
return cap.get(cv2.CAP_PROP_FRAME_COUNT)
|
2019-05-06 16:53:20 +08:00
|
|
|
|
else:
|
|
|
|
|
print("cannot open video.")
|
|
|
|
|
sys.exit()
|
2019-05-02 14:35:40 +08:00
|
|
|
|
|
2019-05-07 11:17:35 +08:00
|
|
|
|
# 获取帧速率
|
2019-05-02 14:35:40 +08:00
|
|
|
|
def getFrameRate(cap):
|
2019-05-06 16:53:20 +08:00
|
|
|
|
if cap.isOpened():
|
2019-05-02 14:35:40 +08:00
|
|
|
|
return cap.get(cv2.CAP_PROP_FPS)
|
2019-05-06 16:53:20 +08:00
|
|
|
|
else:
|
|
|
|
|
print("cannot open video.")
|
|
|
|
|
sys.exit()
|
2019-05-02 14:35:40 +08:00
|
|
|
|
|
2019-05-07 11:17:35 +08:00
|
|
|
|
# 给出左右画面,计算景深
|
|
|
|
|
def getDepthMap(imgL, imgR):
|
2019-05-07 18:29:36 +08:00
|
|
|
|
stereo = cv2.StereoSGBM_create(numDisparities=32, blockSize=3)
|
2019-05-07 11:17:35 +08:00
|
|
|
|
return stereo.compute(imgL, imgR)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
# 给出前后两帧,计算帧间运动矢量
|
|
|
|
|
def getMotionVector(prvs, next):
|
|
|
|
|
hsv = np.zeros_like(imgR) # 将运动矢量按hsv显示,以色调h表示运动方向,以明度v表示运动位移
|
|
|
|
|
hsv[..., 1] = 255 # 饱和度置为最高
|
|
|
|
|
|
|
|
|
|
# 转为灰度以计算光流
|
|
|
|
|
prvs = cv2.cvtColor(prvs, cv2.COLOR_BGR2GRAY)
|
|
|
|
|
next = cv2.cvtColor(next, cv2.COLOR_BGR2GRAY)
|
|
|
|
|
|
|
|
|
|
flow = cv2.calcOpticalFlowFarneback(
|
|
|
|
|
prvs, next, None, 0.5, 3, 15, 3, 5, 1.2, 0) # 计算两帧间的光流,即运动矢量的直角坐标表示
|
|
|
|
|
mag, ang = cv2.cartToPolar(
|
|
|
|
|
flow[..., 0], flow[..., 1]) # 运动矢量的直角坐标表示转换为极坐标表示
|
|
|
|
|
hsv[..., 0] = ang*180/np.pi/2 # 角度对应色调
|
|
|
|
|
hsv[..., 2] = cv2.normalize(mag, None, 0, 255, cv2.NORM_MINMAX) # 位移量对应明度
|
|
|
|
|
return hsv
|
|
|
|
|
|
2019-05-02 14:35:40 +08:00
|
|
|
|
|
|
|
|
|
if __name__ == "__main__":
|
|
|
|
|
cap = openVid()
|
2019-05-06 16:53:20 +08:00
|
|
|
|
isDemo = int(input("is Demo(0/1)?"))
|
2019-05-02 14:35:40 +08:00
|
|
|
|
frameRate = getFrameRate(cap)
|
|
|
|
|
frameCount = getFrameCount(cap)
|
2019-05-07 18:29:36 +08:00
|
|
|
|
framesCalculated = 0
|
2019-05-04 15:58:25 +08:00
|
|
|
|
isSuccess, img = cap.read()
|
|
|
|
|
if not isSuccess:
|
|
|
|
|
print("video read error.")
|
|
|
|
|
sys.exit()
|
|
|
|
|
|
2019-05-07 11:17:35 +08:00
|
|
|
|
# 分割左右画面
|
2019-05-04 15:58:25 +08:00
|
|
|
|
imgL = np.split(img, 2, 1)[0]
|
2019-05-02 16:23:17 +08:00
|
|
|
|
imgR = np.split(img, 2, 1)[1]
|
2019-05-07 11:17:35 +08:00
|
|
|
|
prvs = imgR # 上一帧的右画面,用于运动矢量计算
|
2019-05-04 15:58:25 +08:00
|
|
|
|
|
2019-05-07 18:29:36 +08:00
|
|
|
|
# 每秒取4帧进行计算
|
|
|
|
|
for frameID in range(round(cap.get(cv2.CAP_PROP_POS_FRAMES)), round(frameCount), round(frameRate/4)):
|
2019-05-02 14:35:40 +08:00
|
|
|
|
cap.set(cv2.CAP_PROP_POS_FRAMES, frameID)
|
|
|
|
|
isSuccess, img = cap.read()
|
2019-05-04 15:58:25 +08:00
|
|
|
|
if not isSuccess:
|
|
|
|
|
print("video read error.")
|
|
|
|
|
sys.exit()
|
|
|
|
|
|
2019-05-07 11:17:35 +08:00
|
|
|
|
# 分割左右画面
|
2019-05-04 15:58:25 +08:00
|
|
|
|
imgL = np.split(img, 2, 1)[0]
|
|
|
|
|
imgR = np.split(img, 2, 1)[1]
|
|
|
|
|
|
2019-05-07 11:17:35 +08:00
|
|
|
|
next = imgR # 当前帧的右画面,用于运动矢量计算
|
|
|
|
|
hsv = getMotionVector(prvs, next)
|
|
|
|
|
|
|
|
|
|
# 计算深度图
|
|
|
|
|
disparity = getDepthMap(imgL, imgR)
|
|
|
|
|
|
2019-05-07 18:29:36 +08:00
|
|
|
|
framesCalculated += 1
|
|
|
|
|
|
2019-05-07 11:17:35 +08:00
|
|
|
|
# 显示计算结果
|
|
|
|
|
print("time: ", round(frameID/frameRate, 2))
|
2019-05-07 18:29:36 +08:00
|
|
|
|
print("AVG depth: ", round(np.mean(disparity), 2)) # 景深的平均值,偏大则意味着负视差,可能不适
|
|
|
|
|
print("AVG motion: ", round(np.mean(hsv[..., 2]), 2)) # 运动矢量大小的平均值,可判断画面大致上是否稳定
|
|
|
|
|
print("Mode depth: ", stats.mode(disparity.reshape(-1))[0][0]) # 景深的众数,由于景深基本不连续,众数意义不大
|
|
|
|
|
print("Mode motion: ", stats.mode(hsv[..., 2].reshape(-1))[0][0]) # 运动矢量大小的众数,一般为0,若较大,说明画面中存在较大面积的快速运动,可能不适
|
|
|
|
|
print("STD depth: ", round(np.std(disparity),2)) # 景深的标准差,若偏大说明景深范围较大,可能不适,但同时也是3D感更强的特征
|
|
|
|
|
print("STD motion: ", round(np.std(hsv[...,2]),2)) # 运动矢量大小的标准差,若偏大说明各部分运动比较不一致,可能需要结合运动矢量的方向作进一步判断,若存在较复杂的运动形式,则可能不适
|
|
|
|
|
|
2019-05-04 15:58:25 +08:00
|
|
|
|
print()
|
2019-05-07 11:17:35 +08:00
|
|
|
|
|
|
|
|
|
# 当为demo模式时显示当前帧画面、运动矢量图和景深图
|
2019-05-06 16:53:20 +08:00
|
|
|
|
if isDemo:
|
2019-05-07 11:17:35 +08:00
|
|
|
|
# 显示当前帧
|
2019-05-06 16:53:20 +08:00
|
|
|
|
cv2.namedWindow("img", cv2.WINDOW_NORMAL)
|
|
|
|
|
cv2.imshow('img', img)
|
|
|
|
|
|
2019-05-07 11:17:35 +08:00
|
|
|
|
# 显示当前帧的运动矢量的hsv表示
|
|
|
|
|
bgr = cv2.cvtColor(hsv, cv2.COLOR_HSV2BGR) # hsv转为rgb用于显示
|
|
|
|
|
cv2.namedWindow("MotionVector", cv2.WINDOW_NORMAL)
|
|
|
|
|
cv2.imshow("MotionVector", bgr)
|
2019-05-07 18:29:36 +08:00
|
|
|
|
# cv2.waitKey(1)
|
2019-05-07 11:17:35 +08:00
|
|
|
|
# 显示当前帧的景深图
|
2019-05-06 16:53:20 +08:00
|
|
|
|
plt.title("DepthMap")
|
|
|
|
|
plt.imshow(disparity)
|
2019-05-07 18:29:36 +08:00
|
|
|
|
# 运动矢量的直方图,方便查看数值
|
|
|
|
|
# plt.title("MotionVector")
|
|
|
|
|
# plt.imshow(hsv[...,2])
|
|
|
|
|
# plt.show()
|
2019-05-07 11:17:35 +08:00
|
|
|
|
plt.pause(0.2)
|
2019-05-07 18:29:36 +08:00
|
|
|
|
input("press to continue")
|
2019-05-07 11:17:35 +08:00
|
|
|
|
prvs = next # 当前帧覆盖上一帧,继续计算
|
2019-05-02 16:23:17 +08:00
|
|
|
|
print("success")
|
|
|
|
|
|