Method LoadFromFp

deps/tesseract/wordrec/params_model.cpp:113–150

}

bool ParamsModel::LoadFromFp(const char *lang, FILE *fp, inT64 end_offset) {
  const int kMaxLineSize = 100;
  char line[kMaxLineSize];
  BitVector present;
  present.Init(PTRAIN_NUM_FEATURE_TYPES);
  lang_ = lang;
  // Load weights for passes with adaption on.
  GenericVector<float> &weights = weights_vec_[pass_];
  weights.init_to_size(PTRAIN_NUM_FEATURE_TYPES, 0.0);

  while ((end_offset < 0 || ftell(fp) < end_offset) &&
      fgets(line, kMaxLineSize, fp)) {
    char *key = NULL;
    float value;
    if (!ParseLine(line, &key, &value))
      continue;
    int idx = ParamsTrainingFeatureByName(key);
    if (idx < 0) {
      tprintf("ParamsModel::Unknown parameter %s\n", key);
      continue;
    }
    if (!present[idx]) {
      present.SetValue(idx, true);
    }
    weights[idx] = value;
  }
  bool complete = (present.NumSetBits() == PTRAIN_NUM_FEATURE_TYPES);
  if (!complete) {
    for (int i = 0; i < PTRAIN_NUM_FEATURE_TYPES; i++) {
      if (!present[i]) {
        tprintf("Missing field %s.\n", kParamsTrainingFeatureTypeName[i]);
      }
    }
    lang_ = "";
    weights.truncate(0);
  }
  return complete;
}

bool ParamsModel::SaveToFile(const char *full_path) const {
  const GenericVector<float> &weights = weights_vec_[pass_];