From ce2a78dd89c8fde1cab1d2d91115a1cca4d5bad2 Mon Sep 17 00:00:00 2001 From: pk_hk <82303451+pkhk-1@users.noreply.github.com> Date: Sat, 9 Apr 2022 10:12:59 +0800 Subject: [PATCH] [pico] add onnxruntime demo (#5627) --- configs/picodet/README.md | 21 +- configs/picodet/README_en.md | 19 +- .../third_engine/demo_onnxruntime/README.md | 43 ++++ .../demo_onnxruntime/coco_label.txt | 80 ++++++++ .../demo_onnxruntime/imgs/bus.jpg | Bin 0 -> 487438 bytes .../demo_onnxruntime/imgs/dog.jpg | Bin 0 -> 163759 bytes .../demo_onnxruntime/infer_demo.py | 193 ++++++++++++++++++ docs/images/bus.jpg | Bin 0 -> 490273 bytes docs/images/dog.jpg | Bin 0 -> 185817 bytes 9 files changed, 336 insertions(+), 20 deletions(-) create mode 100644 deploy/third_engine/demo_onnxruntime/README.md create mode 100644 deploy/third_engine/demo_onnxruntime/coco_label.txt create mode 100644 deploy/third_engine/demo_onnxruntime/imgs/bus.jpg create mode 100644 deploy/third_engine/demo_onnxruntime/imgs/dog.jpg create mode 100644 deploy/third_engine/demo_onnxruntime/infer_demo.py create mode 100644 docs/images/bus.jpg create mode 100644 docs/images/dog.jpg diff --git a/configs/picodet/README.md b/configs/picodet/README.md index 7f4e6a539..90e36f64b 100644 --- a/configs/picodet/README.md +++ b/configs/picodet/README.md @@ -205,18 +205,17 @@ paddle2onnx --model_dir output_inference/picodet_s_320_coco_lcnet/ \ - 部署用的模型 -| 模型 | 输入尺寸 | ONNX( w/o 后处理) | Paddle Lite(fp32) | Paddle Lite(fp16) | +| 模型 | 输入尺寸 | ONNX | Paddle Lite(fp32) | Paddle Lite(fp16) | | :-------- | :--------: | :---------------------: | :----------------: | :----------------: | -| PicoDet-XS | 320*320 | [model](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_xs_320_coco_lcnet.onnx) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_l_416.tar) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_l_416_fp16.tar) | -| PicoDet-XS | 416*416 | [model](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_xs_416_coco_lcnet.onnx) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_l_416.tar) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_l_416_fp16.tar) | -| PicoDet-S | 320*320 | [model](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_s_320_coco_lcnet.onnx) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_s_320.tar) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_s_320_fp16.tar) | -| PicoDet-S | 416*416 | [model](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_s_416_coco_lcnet.onnx) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_s_416.tar) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_s_416_fp16.tar) | -| PicoDet-M | 320*320 | [model](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_m_320_coco_lcnet.onnx) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_m_320.tar) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_m_320_fp16.tar) | -| PicoDet-M | 416*416 | [model](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_m_416_coco_lcnet.onnx) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_m_416.tar) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_m_416_fp16.tar) | -| PicoDet-L | 320*320 | [model](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_l_320_coco_lcnet.onnx) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_l_320.tar) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_l_320_fp16.tar) | -| PicoDet-L | 416*416 | [model](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_l_416_coco_lcnet.onnx) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_l_416.tar) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_l_416_fp16.tar) | -| PicoDet-L | 640*640 | [model](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_l_640_coco.onnx) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_l_640.tar) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_l_640_fp16.tar) | - +| PicoDet-XS | 320*320 | [( w/ 后处理)](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_xs_320_lcnet_postprocessed.onnx) | [( w/o 后处理)](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_xs_320_coco_lcnet.onnx) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_xs_320.tar) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_xs_320_fp16.tar) | +| PicoDet-XS | 416*416 | [( w/ 后处理)](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_xs_416_lcnet_postprocessed.onnx) | [( w/o 后处理)](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_xs_416_coco_lcnet.onnx) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_xs_416.tar) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_xs_416_fp16.tar) | +| PicoDet-S | 320*320 | [( w/ 后处理)](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_s_320_lcnet_postprocessed.onnx) | [( w/o 后处理)](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_s_320_coco_lcnet.onnx) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_s_320.tar) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_s_320_fp16.tar) | +| PicoDet-S | 416*416 | [( w/ 后处理)](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_s_416_lcnet_postprocessed.onnx) | [( w/o 后处理)](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_s_416_coco_lcnet.onnx) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_s_416.tar) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_s_416_fp16.tar) | +| PicoDet-M | 320*320 | [( w/ 后处理)](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_m_320_lcnet_postprocessed.onnx) | [( w/o 后处理)](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_m_320_coco_lcnet.onnx) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_m_320.tar) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_m_320_fp16.tar) | +| PicoDet-M | 416*416 | [( w/ 后处理)](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_m_416_lcnet_postprocessed.onnx) | [( w/o 后处理)](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_m_416_coco_lcnet.onnx) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_m_416.tar) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_m_416_fp16.tar) | +| PicoDet-L | 320*320 | [( w/ 后处理)](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_l_320_lcnet_postprocessed.onnx) | [( w/o 后处理)](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_l_320_coco_lcnet.onnx) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_l_320.tar) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_l_320_fp16.tar) | +| PicoDet-L | 416*416 | [( w/ 后处理)](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_l_416_lcnet_postprocessed.onnx) | [( w/o 后处理)](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_l_416_coco_lcnet.onnx) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_l_416.tar) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_l_416_fp16.tar) | +| PicoDet-L | 640*640 | [( w/ 后处理)](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_l_640_lcnet_postprocessed.onnx) | [( w/o 后处理)](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_l_640_coco_lcnet.onnx) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_l_640.tar) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_l_640_fp16.tar) | ### 部署 diff --git a/configs/picodet/README_en.md b/configs/picodet/README_en.md index c1a9483fa..f9c5f6185 100644 --- a/configs/picodet/README_en.md +++ b/configs/picodet/README_en.md @@ -204,15 +204,16 @@ paddle2onnx --model_dir output_inference/picodet_s_320_coco_lcnet/ \ | Model | Input size | ONNX(w/o postprocess) | Paddle Lite(fp32) | Paddle Lite(fp16) | | :-------- | :--------: | :---------------------: | :----------------: | :----------------: | -| PicoDet-XS | 320*320 | [model](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_xs_320_coco_lcnet.onnx) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_l_416.tar) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_l_416_fp16.tar) | -| PicoDet-XS | 416*416 | [model](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_xs_416_coco_lcnet.onnx) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_l_416.tar) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_l_416_fp16.tar) | -| PicoDet-S | 320*320 | [model](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_s_320_coco_lcnet.onnx) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_s_320.tar) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_s_320_fp16.tar) | -| PicoDet-S | 416*416 | [model](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_s_416_coco_lcnet.onnx) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_s_416.tar) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_s_416_fp16.tar) | -| PicoDet-M | 320*320 | [model](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_m_320_coco_lcnet.onnx) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_m_320.tar) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_m_320_fp16.tar) | -| PicoDet-M | 416*416 | [model](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_m_416_coco_lcnet.onnx) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_m_416.tar) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_m_416_fp16.tar) | -| PicoDet-L | 320*320 | [model](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_l_320_coco_lcnet.onnx) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_l_320.tar) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_l_320_fp16.tar) | -| PicoDet-L | 416*416 | [model](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_l_416_coco_lcnet.onnx) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_l_416.tar) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_l_416_fp16.tar) | -| PicoDet-L | 640*640 | [model](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_l_640_coco.onnx) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_l_640.tar) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_l_640_fp16.tar) | +| PicoDet-XS | 320*320 | [( w/ postprocess)](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_xs_320_lcnet_postprocessed.onnx) | [( w/o postprocess)](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_xs_320_coco_lcnet.onnx) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_xs_320.tar) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_xs_320_fp16.tar) | +| PicoDet-XS | 416*416 | [( w/ postprocess)](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_xs_416_lcnet_postprocessed.onnx) | [( w/o postprocess)](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_xs_416_coco_lcnet.onnx) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_xs_416.tar) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_xs_416_fp16.tar) | +| PicoDet-S | 320*320 | [( w/ postprocess)](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_s_320_lcnet_postprocessed.onnx) | [( w/o postprocess)](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_s_320_coco_lcnet.onnx) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_s_320.tar) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_s_320_fp16.tar) | +| PicoDet-S | 416*416 | [( w/ postprocess)](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_s_416_lcnet_postprocessed.onnx) | [( w/o postprocess)](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_s_416_coco_lcnet.onnx) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_s_416.tar) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_s_416_fp16.tar) | +| PicoDet-M | 320*320 | [( w/ postprocess)](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_m_320_lcnet_postprocessed.onnx) | [( w/o postprocess)](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_m_320_coco_lcnet.onnx) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_m_320.tar) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_m_320_fp16.tar) | +| PicoDet-M | 416*416 | [( w/ postprocess)](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_m_416_lcnet_postprocessed.onnx) | [( w/o postprocess)](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_m_416_coco_lcnet.onnx) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_m_416.tar) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_m_416_fp16.tar) | +| PicoDet-L | 320*320 | [( w/ postprocess)](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_l_320_lcnet_postprocessed.onnx) | [( w/o postprocess)](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_l_320_coco_lcnet.onnx) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_l_320.tar) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_l_320_fp16.tar) | +| PicoDet-L | 416*416 | [( w/ postprocess)](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_l_416_lcnet_postprocessed.onnx) | [( w/o postprocess)](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_l_416_coco_lcnet.onnx) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_l_416.tar) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_l_416_fp16.tar) | +| PicoDet-L | 640*640 | [( w/ postprocess)](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_l_640_lcnet_postprocessed.onnx) | [( w/o postprocess)](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_l_640_coco_lcnet.onnx) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_l_640.tar) | [model](https://paddledet.bj.bcebos.com/deploy/paddlelite/picodet_l_640_fp16.tar) | + ### Deploy diff --git a/deploy/third_engine/demo_onnxruntime/README.md b/deploy/third_engine/demo_onnxruntime/README.md new file mode 100644 index 000000000..bdf7a9432 --- /dev/null +++ b/deploy/third_engine/demo_onnxruntime/README.md @@ -0,0 +1,43 @@ +# PicoDet ONNX Runtime Demo + +本文件夹提供利用[ONNX Runtime](https://onnxruntime.ai/docs/)进行 PicoDet 部署与Inference images 的 Demo。 + +## 安装 ONNX Runtime + +本demo采用的是 ONNX Runtime 1.10.0,可直接运行如下指令安装: +```shell +pip install onnxruntime +``` + +详细安装步骤,可参考 [Install ONNX Runtime](https://onnxruntime.ai/docs/install/)。 + +## Inference images + +- 准备测试模型:根据[PicoDet](https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/picodet)中【导出及转换模型】步骤,采用包含后处理的方式导出模型(`-o export.benchmark=False` ),并生成待测试模型简化后的onnx模型(可在下文链接中直接下载)。同时在本目录下新建```onnx_file```文件夹,将导出的onnx模型放在该目录下。 + +- 准备测试所用图片:将待测试图片放在```./imgs```文件夹下,本demo已提供了两张测试图片。 + +- 在本目录下直接运行: + ```shell + python infer_demo.py --modelpath ./onnx_file/picodet_s_320_lcnet_postprocessed.onnx + ``` + 将会对```./imgs```文件夹下所有图片进行识别,并将识别结果保存在```./results```文件夹下。 + +- 结果: +
+ +
+ +## 模型下载 + +| 模型 | 输入尺寸 | ONNX( w/ 后处理) | +| :-------- | :--------: | :---------------------: | +| PicoDet-XS | 320*320 | [model](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_xs_320_lcnet_postprocessed.onnx) | +| PicoDet-XS | 416*416 | [model](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_xs_416_lcnet_postprocessed.onnx) | +| PicoDet-S | 320*320 | [model](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_s_320_lcnet_postprocessed.onnx) | +| PicoDet-S | 416*416 | [model](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_s_416_lcnet_postprocessed.onnx) | +| PicoDet-M | 320*320 | [model](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_m_320_lcnet_postprocessed.onnx) | +| PicoDet-M | 416*416 | [model](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_m_416_lcnet_postprocessed.onnx) | +| PicoDet-L | 320*320 | [model](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_l_320_lcnet_postprocessed.onnx) | +| PicoDet-L | 416*416 | [model](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_l_416_lcnet_postprocessed.onnx) | +| PicoDet-L | 640*640 | [model](https://paddledet.bj.bcebos.com/deploy/third_engine/picodet_l_640_lcnet_postprocessed.onnx) | diff --git a/deploy/third_engine/demo_onnxruntime/coco_label.txt b/deploy/third_engine/demo_onnxruntime/coco_label.txt new file mode 100644 index 000000000..ca76c80b5 --- /dev/null +++ b/deploy/third_engine/demo_onnxruntime/coco_label.txt @@ -0,0 +1,80 @@ +person +bicycle +car +motorbike +aeroplane +bus +train +truck +boat +traffic light +fire hydrant +stop sign +parking meter +bench +bird +cat +dog +horse +sheep +cow +elephant +bear +zebra +giraffe +backpack +umbrella +handbag +tie +suitcase +frisbee +skis +snowboard +sports ball +kite +baseball bat +baseball glove +skateboard +surfboard +tennis racket +bottle +wine glass +cup +fork +knife +spoon +bowl +banana +apple +sandwich +orange +broccoli +carrot +hot dog +pizza +donut +cake +chair 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srcimg, (neww, newh), interpolation=cv2.INTER_AREA) + left = int((self.input_shape[1] - neww) * 0.5) + img = cv2.copyMakeBorder( + img, + 0, + 0, + left, + self.input_shape[1] - neww - left, + cv2.BORDER_CONSTANT, + value=0) # add border + else: + newh, neww = int(self.input_shape[0] * + hw_scale), self.input_shape[1] + img = cv2.resize( + srcimg, (neww, newh), interpolation=cv2.INTER_AREA) + top = int((self.input_shape[0] - newh) * 0.5) + img = cv2.copyMakeBorder( + img, + top, + self.input_shape[0] - newh - top, + 0, + 0, + cv2.BORDER_CONSTANT, + value=0) + else: + img = cv2.resize( + srcimg, self.input_shape, interpolation=cv2.INTER_AREA) + + return img, scale_factor + + def get_color_map_list(self, num_classes): + color_map = num_classes * [0, 0, 0] + for i in range(0, num_classes): + j = 0 + lab = i + while lab: + color_map[i * 3] |= (((lab >> 0) & 1) << (7 - j)) + color_map[i * 3 + 1] |= (((lab >> 1) & 1) << (7 - j)) + color_map[i * 3 + 2] |= (((lab >> 2) & 1) << (7 - j)) + j += 1 + lab >>= 3 + color_map = [color_map[i:i + 3] for i in range(0, len(color_map), 3)] + return color_map + + def detect(self, srcimg): + img, scale_factor = self.resize_image(srcimg) + img = self._normalize(img) + + blob = np.expand_dims(np.transpose(img, (2, 0, 1)), axis=0) + + outs = self.net.run(None, { + self.net.get_inputs()[0].name: blob, + self.net.get_inputs()[1].name: scale_factor + }) + + outs = np.array(outs[0]) + expect_boxes = (outs[:, 1] > 0.5) & (outs[:, 0] > -1) + np_boxes = outs[expect_boxes, :] + + color_list = self.get_color_map_list(self.num_classes) + clsid2color = {} + + for i in range(np_boxes.shape[0]): + classid, conf = int(np_boxes[i, 0]), np_boxes[i, 1] + xmin, ymin, xmax, ymax = int(np_boxes[i, 2]), int(np_boxes[ + i, 3]), int(np_boxes[i, 4]), int(np_boxes[i, 5]) + + if classid not in clsid2color: + clsid2color[classid] = color_list[classid] + color = tuple(clsid2color[classid]) + + cv2.rectangle( + srcimg, (xmin, ymin), (xmax, ymax), color, thickness=2) + print(self.classes[classid] + ': ' + str(round(conf, 3))) + cv2.putText( + srcimg, + self.classes[classid] + ':' + str(round(conf, 3)), (xmin, + ymin - 10), + cv2.FONT_HERSHEY_SIMPLEX, + 0.8, (0, 255, 0), + thickness=2) + + return srcimg + + def detect_folder(self, img_fold, result_path): + img_fold = Path(img_fold) + result_path = Path(result_path) + result_path.mkdir(parents=True, exist_ok=True) + + img_name_list = filter( + lambda x: str(x).endswith(".png") or str(x).endswith(".jpg"), + img_fold.iterdir(), ) + img_name_list = list(img_name_list) + print(f"find {len(img_name_list)} images") + + for img_path in tqdm(img_name_list): + img = cv2.imread(str(img_path)) + + srcimg = net.detect(img) + save_path = str(result_path / img_path.name.replace(".png", ".jpg")) + cv2.imwrite(save_path, srcimg) + + +if __name__ == '__main__': + parser = argparse.ArgumentParser() + parser.add_argument( + '--modelpath', + type=str, + default='onnx_file/picodet_s_320_lcnet_postprocessed.onnx', + help="onnx filepath") + parser.add_argument( + '--classfile', + type=str, + default='coco_label.txt', + help="classname filepath") + parser.add_argument( + '--confThreshold', default=0.5, type=float, help='class confidence') + parser.add_argument( + '--nmsThreshold', default=0.6, type=float, help='nms iou thresh') + parser.add_argument( + "--img_fold", dest="img_fold", type=str, default="./imgs") + parser.add_argument( + "--result_fold", dest="result_fold", type=str, default="./results") + args = parser.parse_args() + + net = PicoDet( + args.modelpath, + args.classfile, + prob_threshold=args.confThreshold, + iou_threshold=args.nmsThreshold) + + net.detect_folder(args.img_fold, args.result_fold) diff --git a/docs/images/bus.jpg b/docs/images/bus.jpg new file mode 100644 index 0000000000000000000000000000000000000000..cdbbf8c9ba9990fb228360db590e37f078160767 GIT binary patch literal 490273 zcmbTdWmH>F)IJ)DwK%l66))~?1&Uj7cP9jw;4Kt)C{Vlb-7{N8u1 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