SYMBOL INDEX (41 symbols across 8 files)

FILE: cpp/LenetClassifier.h
  function class (line 12) | class CLenetClassifier

FILE: cpp/evaluation.cpp
  function cleardir (line 9) | void cleardir(const string dir)
  function clearerror (line 19) | void clearerror(const string dir)
  function evaluation (line 32) | int evaluation()
  function testimg (line 78) | int testimg(const std::string imgpath = "data/0/0.jpg")
  function testdir (line 90) | int testdir(const std::string dir = "img")
  function main (line 102) | int main(int argc,char*argv[])

FILE: cpp4caffe/cnnpredictor.h
  type std (line 21) | typedef std::pair<string, float> Prediction;
  function class (line 23) | class Classifier {
  function PairCompare (line 88) | static bool PairCompare(const std::pair<float, int>& lhs,
  function std (line 94) | static std::vector<int> Argmax(const std::vector<float>& v, int N) {
  function SetMean (line 122) | void Classifier::SetMean(const string& mean_file) {
  function WrapInputLayer (line 178) | void Classifier::WrapInputLayer(std::vector<cv::Mat>* input_channels) {
  function Preprocess (line 191) | void Classifier::Preprocess(const cv::Mat& img,
  function class (line 231) | class CnnPredictor

FILE: cpp4caffe/evaluation.cpp
  function cleardir (line 9) | void cleardir(const string dir)
  function clearerror (line 19) | void clearerror(const string dir)
  function evaluation (line 29) | int evaluation()
  function main (line 75) | int main(int argc,char*argv[])

FILE: train.py
  function remove_if_exists (line 19) | def remove_if_exists(db):
  function get_test_num (line 24) | def get_test_num(valpath = "util/val.txt"):
  function make_datum (line 29) | def make_datum(img,label):
  function gen_data_layer (line 33) | def gen_data_layer(phase="train",uselmdb=True):
  function lenet (line 63) | def lenet(phase="train",batch_size=64):
  function lenet_deploy (line 77) | def lenet_deploy(net,deploy_net_file="util/deploy.prototxt"):
  function gen_solver_txt (line 90) | def gen_solver_txt(train_net_path, test_net_path):
  function main (line 110) | def main():

FILE: util/evaluation.py
  function create_logger (line 9) | def create_logger(logdir="output"):
  function clearlasterrors (line 19) | def clearlasterrors(args):
  function loadmean (line 28) | def loadmean(meanprotopath):
  function getclassifier (line 33) | def getclassifier(args):
  class EvalStatic (line 40) | class EvalStatic:
    method __str__ (line 43) | def __str__(self):
  function evaluationonebyone (line 46) | def evaluationonebyone(args):
  function evaluation_batch (line 86) | def evaluation_batch(args):
  function get_args (line 126) | def get_args():
  function classification (line 142) | def classification():
  function evaluation (line 154) | def evaluation():

FILE: util/plotaccuracy.py
  function getlastesttraininfofilefromdir (line 9) | def getlastesttraininfofilefromdir(logdir):
  function plotaccuarcy (line 25) | def plotaccuarcy():

FILE: util/preprocess.py
  function main (line 3) | def main(args):