Add detection and segmentation examples for Ascend deployment

This commit is contained in:
yunyaoXYY
2022-12-27 07:40:46 +00:00
parent 76a876406e
commit 090c3a68b4
27 changed files with 280 additions and 26 deletions

View File

@@ -34,6 +34,8 @@ wget https://paddleseg.bj.bcebos.com/dygraph/demo/cityscapes_demo.png
./infer_demo Unet_cityscapes_without_argmax_infer cityscapes_demo.png 2
# 昆仑芯XPU推理
./infer_demo Unet_cityscapes_without_argmax_infer cityscapes_demo.png 3
# 华为昇腾推理
./infer_demo Unet_cityscapes_without_argmax_infer cityscapes_demo.png 4
```
运行完成可视化结果如下图所示

View File

@@ -135,6 +135,34 @@ void TrtInfer(const std::string& model_dir, const std::string& image_file) {
std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
}
void AscendInfer(const std::string& model_dir, const std::string& image_file) {
auto model_file = model_dir + sep + "model.pdmodel";
auto params_file = model_dir + sep + "model.pdiparams";
auto config_file = model_dir + sep + "deploy.yaml";
auto option = fastdeploy::RuntimeOption();
option.UseAscend();
auto model = fastdeploy::vision::segmentation::PaddleSegModel(
model_file, params_file, config_file, option);
if (!model.Initialized()) {
std::cerr << "Failed to initialize." << std::endl;
return;
}
auto im = cv::imread(image_file);
fastdeploy::vision::SegmentationResult res;
if (!model.Predict(im, &res)) {
std::cerr << "Failed to predict." << std::endl;
return;
}
std::cout << res.Str() << std::endl;
auto vis_im = fastdeploy::vision::VisSegmentation(im, res, 0.5);
cv::imwrite("vis_result.jpg", vis_im);
std::cout << "Visualized result saved in ./vis_result.jpg" << std::endl;
}
int main(int argc, char* argv[]) {
if (argc < 4) {
std::cout
@@ -155,6 +183,8 @@ int main(int argc, char* argv[]) {
TrtInfer(argv[1], argv[2]);
} else if (std::atoi(argv[3]) == 3) {
KunlunXinInfer(argv[1], argv[2]);
} else if (std::atoi(argv[3]) == 4) {
AscendInfer(argv[1], argv[2]);
}
return 0;
}

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@@ -27,6 +27,8 @@ python infer.py --model Unet_cityscapes_without_argmax_infer --image cityscapes_
python infer.py --model Unet_cityscapes_without_argmax_infer --image cityscapes_demo.png --device gpu --use_trt True
# 昆仑芯XPU推理
python infer.py --model Unet_cityscapes_without_argmax_infer --image cityscapes_demo.png --device kunlunxin
# 华为昇腾推理
python infer.py --model Unet_cityscapes_without_argmax_infer --image cityscapes_demo.png --device ascend
```
运行完成可视化结果如下图所示

View File

@@ -33,6 +33,9 @@ def build_option(args):
if args.device.lower() == "kunlunxin":
option.use_kunlunxin()
if args.device.lower() == "ascend":
option.use_ascend()
if args.use_trt:
option.use_trt_backend()
option.set_trt_input_shape("x", [1, 3, 256, 256], [1, 3, 1024, 1024],