[Model] update pptracking letterboxresize and add some comment (#438)

* add override mark

* delete some

* recovery

* recovery

* add tracking

* add tracking py_bind and example

* add pptracking

* add pptracking

* iomanip head file

* add opencv_video lib

* add python libs package

Signed-off-by: ChaoII <849453582@qq.com>

* complete comments

Signed-off-by: ChaoII <849453582@qq.com>

* add jdeTracker_ member variable

Signed-off-by: ChaoII <849453582@qq.com>

* add 'FASTDEPLOY_DECL' macro

Signed-off-by: ChaoII <849453582@qq.com>

* remove kwargs params

Signed-off-by: ChaoII <849453582@qq.com>

* [Doc]update pptracking docs

* delete 'ENABLE_PADDLE_FRONTEND' switch

* add pptracking unit test

* update pptracking unit test

Signed-off-by: ChaoII <849453582@qq.com>

* modify test video file path and remove trt test

* update unit test model url

* remove 'FASTDEPLOY_DECL' macro

Signed-off-by: ChaoII <849453582@qq.com>

* fix build python packages about pptracking on win32

Signed-off-by: ChaoII <849453582@qq.com>

* update comment

Signed-off-by: ChaoII <849453582@qq.com>

* add pptracking model explain

Signed-off-by: ChaoII <849453582@qq.com>

Signed-off-by: ChaoII <849453582@qq.com>
Co-authored-by: Jason <jiangjiajun@baidu.com>
This commit is contained in:
ChaoII
2022-10-28 20:46:00 +08:00
committed by GitHub
parent d794810f10
commit d70b6c99df
10 changed files with 157 additions and 131 deletions

View File

@@ -151,32 +151,7 @@ bool PPTracking::BuildPreprocessPipelineFromConfig(){
return true;
}
void PPTracking::GetNmsInfo() {
if (runtime_option.model_format == ModelFormat::PADDLE) {
std::string contents;
if (!ReadBinaryFromFile(runtime_option.model_file, &contents)) {
return;
}
auto reader = paddle2onnx::PaddleReader(contents.c_str(), contents.size());
if (reader.has_nms) {
has_nms_ = true;
background_label = reader.nms_params.background_label;
keep_top_k = reader.nms_params.keep_top_k;
nms_eta = reader.nms_params.nms_eta;
nms_threshold = reader.nms_params.nms_threshold;
score_threshold = reader.nms_params.score_threshold;
nms_top_k = reader.nms_params.nms_top_k;
normalized = reader.nms_params.normalized;
}
}
}
bool PPTracking::Initialize() {
// remove multiclass_nms3 now
// this is a trick operation for ppyoloe while inference on trt
GetNmsInfo();
runtime_option.remove_multiclass_nms_ = true;
runtime_option.custom_op_info_["multiclass_nms3"] = "MultiClassNMS";
if (!BuildPreprocessPipelineFromConfig()) {
FDERROR << "Failed to build preprocess pipeline from configuration file."
<< std::endl;
@@ -186,18 +161,6 @@ bool PPTracking::Initialize() {
FDERROR << "Failed to initialize fastdeploy backend." << std::endl;
return false;
}
if (has_nms_ && runtime_option.backend == Backend::TRT) {
FDINFO << "Detected operator multiclass_nms3 in your model, will replace "
"it with fastdeploy::backend::MultiClassNMS(background_label="
<< background_label << ", keep_top_k=" << keep_top_k
<< ", nms_eta=" << nms_eta << ", nms_threshold=" << nms_threshold
<< ", score_threshold=" << score_threshold
<< ", nms_top_k=" << nms_top_k << ", normalized=" << normalized
<< ")." << std::endl;
has_nms_ = false;
}
// create JDETracker instance
std::unique_ptr<JDETracker> jdeTracker(new JDETracker);
jdeTracker_ = std::move(jdeTracker);