fuankarion

#SPECIFIC
def loadSeparateChannelInstanceLabelNoResize(labelPath, instances):
    labelsInChannels = []
    indexedImg = loadIndexedImage(labelPath)
    for indx, inst in enumerate(instances):
        labelsInChannels.append(getInstanceDataFromIndexedImage(indexedImg, int(inst)))
    labelsInChannels = np.concatenate(labelsInChannels, axis=2)
    if len(labelsInChannels.shape)<3:
        labelsInChannels = np.expand_dims(labelsInChannels, axis=2)
    return labelsInChannels

fuankarion

def getFirstFrrameInfo(video,videoInstances,videoFramesPerInstance):
    firstFramesYT = None
    firstFramesYTvideoLenghts = None

    videoFirstFramesPerInstance = []
    for inst in videoInstances[video]:
        videoFirstFramesPerInstance.append(videoFramesPerInstance[video][inst][0])
    videoFirstFramesPerInstance = sorted(list(set(videoFirstFramesPerInstance)))
    firstFramesYT = videoFirstFramesPerInstance
    firstFramesYTvideoLenghts= len(videoFirstFramesPerInstance)

fuankarion

ffmpeg -r 12 -i /home/jcleon/Storage/ssd0/DavisOLD/JPEGImages/480p/india/%05d.jpg -c:v libx264 -vf fps=25 -pix_fmt yuv420p india.mp4

fuankarion

def mat2Gray(matImg):
    grayImage = np.zeros((matImg.shape), dtype=np.uint8)
    cv2.normalize(matImg, grayImage, alpha=0, beta=255, norm_type=cv2.NORM_MINMAX, dtype=cv2.CV_8U)
    return grayImage

fuankarion

import sys
caffeRoot='.../caffe/python'
sys.path.insert(0, caffeRoot)
import caffe
import lmdb
import glob
import numpy as np
from PIL import Image
import os

fuankarion

find . -name \*.jpg -print | while read line; do SIZE=$(identify -format '%wx%h' "$line"); echo "$SIZE -- $line"; done |  sort -n -r


find . -name \*.jpg -print | while read line; do SIZE=$(identify -format '%wx%h' "$line"); echo "$SIZE -- $line"; done | awk '$1<239 || $2<239' | sort -n -r

fuankarion

import PIL.Image
from StringIO import StringIO
import lmdb
import numpy as np
import sys

caffe_root = '.../caffe/'
sys.path.insert(0, caffe_root + 'python')
import caffe #Caffe Lib

fuankarion

#Python code to use the PCAFlow by Wulff, input is a directory with images corresponding to the ordered video frames
import os
import sys
import cv2
import numpy as np
import re

dirPath = 'XXXXX/a68k87VXX1c'
targetPath='ZZZZZZ/temp'
resizeTarget=256

fuankarion

import cv2
#Read Video Frames From video With Skip Python OpenCV.
def getFramesFromVideo(videoPath,frameSkip):
    print ('reading vid', videoPath)
    cap = cv2.VideoCapture(videoPath)
    print ('reading done ')
    frames = []

    print ('Loading frames to memory')
    success, frame = cap.read()#get frame 0