diff options
author | Nick White <git@njw.name> | 2020-09-22 13:22:59 +0100 |
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committer | Nick White <git@njw.name> | 2020-09-22 13:22:59 +0100 |
commit | 251c0ea75d6ad28dbea7ad38bf15349a3b108d9e (patch) | |
tree | 96b0379ff3e1a09b34b0aa85656a585274fca459 /cmd/analysestats/main.go | |
parent | 9aea616e32dbd94e1670e7cee4d96612ce0bf217 (diff) |
[analysestats] complete
Diffstat (limited to 'cmd/analysestats/main.go')
-rw-r--r-- | cmd/analysestats/main.go | 74 |
1 files changed, 73 insertions, 1 deletions
diff --git a/cmd/analysestats/main.go b/cmd/analysestats/main.go index 1d6071d..a15f3b5 100644 --- a/cmd/analysestats/main.go +++ b/cmd/analysestats/main.go @@ -8,12 +8,14 @@ package main import ( + "bufio" "encoding/csv" "encoding/xml" "flag" "fmt" "io/ioutil" "log" + "math" "os" "path/filepath" "strings" @@ -65,6 +67,69 @@ func getTrainingUsed(hocrfn string) (string, error) { return par.Par[0].Lang, nil } +// getMeanStddevOfBest calculates the mean and standard deviation +// of the confidence values of every page in bestfn, as listed in +// conffn. +func getMeanStddevOfBest(bestfn string, conffn string) (float64, float64, error) { + f, err := os.Open(conffn) + if err != nil { + return 0, 0, fmt.Errorf("Failed to open %s: %v", conffn, err) + } + defer f.Close() + s := bufio.NewScanner(f) + + // create a map of confs from the conf file + var confs map[string]int + confs = make(map[string]int) + for s.Scan() { + line := s.Text() + parts := strings.Fields(line) + if len(parts) != 2 { + continue + } + c, err := strconv.Atoi(parts[1]) + if err != nil { + continue + } + fn := filepath.Base(parts[0]) + confs[fn] = c + } + + f, err = os.Open(bestfn) + if err != nil { + return 0, 0, fmt.Errorf("Failed to open %s: %v", bestfn, err) + } + defer f.Close() + s = bufio.NewScanner(f) + + var bestConfs []int + for s.Scan() { + fn := s.Text() + c, ok := confs[fn] + if !ok { + continue + } + bestConfs = append(bestConfs, c) + } + + var sum int + for _, v := range bestConfs { + sum += v + } + mean := float64(sum) / float64(len(bestConfs)) + + var a, stddev float64 + if len(bestConfs) > 1 { + for _, v := range bestConfs { + a += (float64(v) - mean) * (float64(v) - mean) + } + variance := a / float64(len(bestConfs) - 1) + stddev = math.Sqrt(variance) + } + + return mean, stddev, nil +} + // walker returns a walkfunc that checks for hocr and best files, // and uses them to fill the bookstats map & structure. Note that // the stat file is read when the best file is read, as they need @@ -112,7 +177,14 @@ func walker(bookstats *Bookstats) filepath.WalkFunc { } (*bookstats)[prefix].training = training case "best": - // TODO: read conf also and fill in mean and stddev + confpath := strings.Replace(fpath, "-best", "-conf", -1) + mean, stddev, err := getMeanStddevOfBest(fpath, confpath) + if err != nil { + log.Printf("Warning: failed to get mean & standard deviation from %s and %s: %v\n", fpath, confpath, err) + return nil + } + (*bookstats)[prefix].mean = mean + (*bookstats)[prefix].stddev = stddev } return nil |