forked from wang-xinyu/tensorrtx
-
Notifications
You must be signed in to change notification settings - Fork 0
/
calibrator.cpp
80 lines (71 loc) · 2.74 KB
/
calibrator.cpp
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
#include <iostream>
#include <iterator>
#include <fstream>
#include <opencv2/dnn/dnn.hpp>
#include "calibrator.h"
#include "cuda_runtime_api.h"
#include "utils.h"
Int8EntropyCalibrator2::Int8EntropyCalibrator2(int batchsize, int input_w, int input_h, const char* img_dir, const char* calib_table_name, const char* input_blob_name, bool read_cache)
: batchsize_(batchsize)
, input_w_(input_w)
, input_h_(input_h)
, img_idx_(0)
, img_dir_(img_dir)
, calib_table_name_(calib_table_name)
, input_blob_name_(input_blob_name)
, read_cache_(read_cache)
{
input_count_ = 3 * input_w * input_h * batchsize;
CUDA_CHECK(cudaMalloc(&device_input_, input_count_ * sizeof(float)));
read_files_in_dir(img_dir, img_files_);
}
Int8EntropyCalibrator2::~Int8EntropyCalibrator2()
{
CUDA_CHECK(cudaFree(device_input_));
}
int Int8EntropyCalibrator2::getBatchSize() const
{
return batchsize_;
}
bool Int8EntropyCalibrator2::getBatch(void* bindings[], const char* names[], int nbBindings)
{
if (img_idx_ + batchsize_ > (int)img_files_.size()) {
return false;
}
std::vector<cv::Mat> input_imgs_;
for (int i = img_idx_; i < img_idx_ + batchsize_; i++) {
std::cout << img_files_[i] << " " << i << std::endl;
cv::Mat temp = cv::imread(img_dir_ + img_files_[i]);
if (temp.empty()){
std::cerr << "Fatal error: image cannot open!" << std::endl;
return false;
}
cv::Mat pr_img = preprocess_img(temp, input_w_, input_h_);
input_imgs_.push_back(pr_img);
}
img_idx_ += batchsize_;
cv::Mat blob = cv::dnn::blobFromImages(input_imgs_, 1.0 / 255.0, cv::Size(input_w_, input_h_), cv::Scalar(0, 0, 0), true, false);
CUDA_CHECK(cudaMemcpy(device_input_, blob.ptr<float>(0), input_count_ * sizeof(float), cudaMemcpyHostToDevice));
assert(!strcmp(names[0], input_blob_name_));
bindings[0] = device_input_;
return true;
}
const void* Int8EntropyCalibrator2::readCalibrationCache(size_t& length)
{
std::cout << "reading calib cache: " << calib_table_name_ << std::endl;
calib_cache_.clear();
std::ifstream input(calib_table_name_, std::ios::binary);
input >> std::noskipws;
if (read_cache_ && input.good())
{
std::copy(std::istream_iterator<char>(input), std::istream_iterator<char>(), std::back_inserter(calib_cache_));
}
length = calib_cache_.size();
return length ? calib_cache_.data() : nullptr;
}
void Int8EntropyCalibrator2::writeCalibrationCache(const void* cache, size_t length)
{
std::cout << "writing calib cache: " << calib_table_name_ << " size: " << length << std::endl;
std::ofstream output(calib_table_name_, std::ios::binary);
output.write(reinterpret_cast<const char*>(cache), length);
}