The task is to identify the phone from the given image
Use train_phone.py to first crop the object from the image based on the labels.txt provided in the images folder.
Give the correct path
path="C:/Python27/find_phone/images\\"
pathsave="C:/Python27/find_phone/pos_img\\" at line 8 and 9 of the file.
getdata function combines the text file and images and returns an array,which is passed to the function crop_save.
Crop Images
Using makefile function create info.dat file for positive images and bg.txt for negative images.
Once that is done using train function start classifier training
Use train('LBP') for Local Binary Patterns(LBP) classifier,
Use train('HAAR') for HAAR classifier
First it generates a positives.vec file and then begins training.
The cascade.xml file will get created in data folder which is used for prediction in find_phone.py
The results of the x,y cordinates of a phone in an image are stored in the res.txt file. The cordinates are normalized.
