You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
75 lines
2.6 KiB
75 lines
2.6 KiB
/*
|
|
* Programming introduction with the SOD Embedded RealNets Model Training API.
|
|
* Training must be enabled via the compile-time directive SOD_ENABLE_NET_TRAIN.
|
|
*
|
|
* Copyright (C) PixLab | Symisc Systems, https://sod.pixlab.io
|
|
*/
|
|
/*
|
|
* Compile this file together with the SOD embedded source code to generate
|
|
* the executable. For example:
|
|
*
|
|
* gcc sod.c realnet_train_model.c -D SOD_ENABLE_NET_TRAIN -lm -Ofast -march=native -Wall -std=c99 -o sod_realnet_train_intro
|
|
*
|
|
* Under Microsoft Visual Studio (>= 2015), just drop `sod.c` and its accompanying
|
|
* header files on your source tree and you're done. If you have any trouble
|
|
* integrating SOD in your project, please submit a support request at:
|
|
* https://sod.pixlab.io/support.html
|
|
*/
|
|
/*
|
|
* This simple program is a quick introduction on how to embed and start
|
|
* experimenting with SOD without having to do a lot of tedious
|
|
* reading and configuration.
|
|
*
|
|
* Make sure you have the latest release of SOD from:
|
|
* https://pixlab.io/downloads
|
|
* The SOD Embedded C/C++ documentation is available at:
|
|
* https://sod.pixlab.io/api.html
|
|
*/
|
|
#include <stdio.h>
|
|
#include "sod.h"
|
|
/*
|
|
* Training log consumer callback that should be called
|
|
* by the Realnet trainer to report training progress.
|
|
*/
|
|
void log_consumer_callback(const char *zText, size_t text_len, void *pUserdata)
|
|
{
|
|
/* Simply redirect to stdout */
|
|
puts(zText);
|
|
}
|
|
int main(int argc, char *argv[])
|
|
{
|
|
/* Training instructions (i.e. where positive and negative samples
|
|
* are located, tree minimal depth, max trees, model copyright notice and so on).
|
|
* Pass a path or download one from https://pixlab.io/downloads
|
|
*/
|
|
const char *zTrainFile = argc > 1 ? argv[1] : "train.txt";
|
|
/*
|
|
* Relanet trainer handle
|
|
*/
|
|
sod_realnet_trainer *pNet;
|
|
int rc;
|
|
/* Allocate a new Realnet Trainer handle */
|
|
rc = sod_realnet_train_init(&pNet);
|
|
if (rc != SOD_OK) return rc;
|
|
/*
|
|
* Install our training progress log consumer callback.
|
|
*/
|
|
rc = sod_realnet_train_config(pNet, SOD_REALNET_TR_LOG_CALLBACK, log_consumer_callback, 0);
|
|
if (rc != SOD_OK) return rc;
|
|
/*
|
|
* Where to store the output model.
|
|
*/
|
|
rc = sod_realnet_train_config(pNet, SOD_REALNET_TR_OUTPUT_MODEL, "./pedestrian_detetcor.realnet");
|
|
if (rc != SOD_OK) return rc;
|
|
/*
|
|
* Start the heavy training process on your CPU driven by
|
|
* the Realnet instructions found on `zTrainFile`.
|
|
*/
|
|
rc = sod_realnet_train_start(pNet, zTrainFile);
|
|
/* Wait some days...*/
|
|
sod_realnet_train_release(pNet);
|
|
/* check the progress log and you should find
|
|
* a working model on the path you specified earlier.
|
|
*/
|
|
return rc;
|
|
} |