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[Fix] Fix det_pose demo #1419

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merged 2 commits into from
Nov 27, 2022
Merged

[Fix] Fix det_pose demo #1419

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85c0b85
fix det_pose demo
lzhangzz Nov 23, 2022
d16a5d7
remove useless input
lzhangzz Nov 23, 2022
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57 changes: 37 additions & 20 deletions demo/csrc/c/det_pose.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -23,7 +23,7 @@ const auto config_json = R"(
"type": "Inference",
"input": "img",
"output": "dets",
"params": { "model": "../_detection_tmp_model" }
"params": { "model": "TBD" }
},
{
"type": "Task",
Expand All @@ -45,7 +45,7 @@ const auto config_json = R"(
"type": "Inference",
"input": "imgs_with_bboxes",
"output": "keypoints",
"params": { "model": "../posedet_tmp_model" }
"params": { "model": "TBD" }
}
],
"output": "*keypoints"
Expand Down Expand Up @@ -73,28 +73,36 @@ class AddBboxField {
MMDEPLOY_REGISTER_FACTORY_FUNC(Module, (AddBboxField, 0),
[](const Value&) { return CreateTask(AddBboxField{}); });

class FilterBbox {
public:
Result<Value> operator()(const Value& dets) {
Value::Array rets;
for (const auto& det : dets) {
if (det["label_id"].get<int>() == 0 && det["score"].get<float>() >= 0.3) {
rets.push_back(det);
}
Result<Value> FilterBbox(const Value& dets) {
Value::Array rets;
for (const auto& det : dets) {
if (det["label_id"].get<int>() == 0 && det["score"].get<float>() >= 0.3) {
rets.push_back(det);
}
return rets;
}
};
return rets;
}

MMDEPLOY_REGISTER_FACTORY_FUNC(Module, (FilterBbox, 0),
[](const Value&) { return CreateTask(FilterBbox{}); });
[](const Value&) { return CreateTask(FilterBbox); });

static std::vector<std::pair<int, int>> skeleton{
{15, 13}, {13, 11}, {16, 14}, {14, 12}, {11, 12}, {5, 11}, {6, 12}, {5, 6}, {5, 7}, {6, 8},
{7, 9}, {8, 10}, {1, 2}, {0, 1}, {0, 2}, {1, 3}, {2, 4}, {3, 5}, {4, 6}};

int main() {
int main(int argc, char* argv[]) {
if (argc != 5) {
MMDEPLOY_INFO("usage: det_pose device det_model pose_model image");
return 0;
}
const auto device_name = argv[1];
const auto det_model_path = argv[2];
const auto pose_model_path = argv[3];
const auto image_path = argv[4];

auto config = from_json<Value>(config_json);
config["tasks"][0]["params"]["model"] = det_model_path;
config["tasks"][2]["tasks"][1]["params"]["model"] = pose_model_path;

mmdeploy_context_t context{};
mmdeploy_context_create(&context);
Expand All @@ -105,17 +113,24 @@ int main() {
mmdeploy_context_add(context, MMDEPLOY_TYPE_SCHEDULER, "net", single_thread);
mmdeploy_context_add(context, MMDEPLOY_TYPE_SCHEDULER, "postprocess", thread_pool);

mmdeploy_device_t device{};
mmdeploy_device_create(device_name, 0, &device);
mmdeploy_context_add(context, MMDEPLOY_TYPE_DEVICE, nullptr, device);

mmdeploy_pipeline_t pipeline{};
if (auto ec = mmdeploy_pipeline_create_v3((mmdeploy_value_t)&config, context, &pipeline)) {
MMDEPLOY_ERROR("failed to create pipeline: {}", ec);
return -1;
}

cv::Mat mat = cv::imread("../ezgif-5-6ec14aca55.jpg");
cv::Mat mat = cv::imread(image_path);
if (!mat.data) {
MMDEPLOY_ERROR("invalid image path: {}", image_path);
}
framework::Mat img(mat.rows, mat.cols, PixelFormat::kBGR, DataType::kINT8, mat.data,
framework::Device(0));

Value input = Value::Array{Value::Array{Value::Object{{"ori_img", img}}}};
Value input{{{{"ori_img", img}}}};

mmdeploy_value_t tmp{};
mmdeploy_pipeline_apply(pipeline, (mmdeploy_value_t)&input, &tmp);
Expand All @@ -125,16 +140,16 @@ int main() {
mmdeploy_detector_get_result(tmp, &dets, &det_count);

auto output = std::move(*(Value*)tmp);
mmdeploy_value_destroy(tmp);

// result of second output
auto& pose = output[1];

mmdeploy_pose_detection_t* kps{};
Value pose;
pose.push_back(output[1]);
mmdeploy_pose_detector_get_result((mmdeploy_value_t)&pose, &kps);

MMDEPLOY_INFO("{}", *det_count);

mmdeploy_value_destroy(tmp);

for (int i = 0; i < *det_count; ++i) {
if (dets[i].label_id != 0 || dets[i].score < 0.3) {
continue;
Expand All @@ -156,6 +171,8 @@ int main() {
}
}

mmdeploy_pose_detector_release_result(kps, pose.size());

cv::imwrite("output_det_pose.jpg", mat);

mmdeploy_pipeline_destroy(pipeline);
Expand Down