SYMBOL INDEX (29 symbols across 7 files) FILE: 10_EdgeBoxes+SVM+NMS_cam.py function rgb2gray (line 20) | def rgb2gray(im): function getFeat (line 24) | def getFeat(data): FILE: 1_HoG_extract_feature.py function getBox (line 30) | def getBox(childDir): function getDataWithCrop (line 46) | def getDataWithCrop(filePath,label): function getData (line 65) | def getData(filePath,label): # get the full image without cutting function getFeat (line 81) | def getFeat(Data,mode): # get and save feature valuve function rgb2gray (line 99) | def rgb2gray(im): FILE: 4_Train_PCA+SVM.py function zeroMean (line 17) | def zeroMean(dataMat): # zero normalisation function pca (line 22) | def pca(dataMat,n): FILE: 6_PSO+PCA.py function zeroMean (line 31) | def zeroMean(dataMat): function pca (line 37) | def pca(dataMat,n): function CalDis (line 75) | def CalDis(list): function FindBirdsMostPos (line 91) | def FindBirdsMostPos(): function NumMulVec (line 107) | def NumMulVec(num,list): #result is in list function VecSubVec (line 112) | def VecSubVec(list1,list2): #result is in list1 function VecAddVec (line 117) | def VecAddVec(list1,list2): #result is in list1 function UpdateSpeed (line 122) | def UpdateSpeed(): function UpdatePos (line 133) | def UpdatePos(): FILE: 7_Hard_Negative_Mining+SVM.py function trainSvm (line 13) | def trainSvm(datas, labels): function loadData (line 19) | def loadData(path): function sliding_window (line 33) | def sliding_window(image, stepSize, windowSize): function rgb2gray (line 38) | def rgb2gray(im): function savefeat (line 42) | def savefeat(childDir, num_win, fd): FILE: 8_SlidingWindow+SVM+NMS_image.py function rgb2gray (line 23) | def rgb2gray(im): function getFeat (line 27) | def getFeat(data): function sliding_window (line 32) | def sliding_window(image, stepSize, windowSize): FILE: 9_SlidingWindow+SVM+NMS_cam.py function rgb2gray (line 15) | def rgb2gray(im): function getFeat (line 19) | def getFeat(data): function sliding_window (line 30) | def sliding_window(image, stepSize, windowSize):