From 62fd8531b8c720d5a741d748fa38dc0cdc31a6d7 Mon Sep 17 00:00:00 2001 From: "yizhou.xu" Date: Fri, 16 Aug 2024 18:01:34 +0800 Subject: [PATCH 1/7] fix yolox mean and std Change-Id: Ia9620b7e5e9dd75df98f86dcc8d1d9406c945d88 --- element/algorithm/yolox/README.md | 6 +++--- element/algorithm/yolox/README_EN.md | 6 +++--- element/algorithm/yolox/src/yolox.cc | 3 +-- samples/bytetrack/config/yolox_infer.json | 6 +++--- samples/bytetrack/config/yolox_post.json | 6 +++--- samples/bytetrack/config/yolox_pre.json | 6 +++--- samples/yolox/README.md | 4 ++-- samples/yolox/README_EN.md | 4 ++-- samples/yolox/config/yolox_group.json | 6 +++--- .../config/yolox_group.json | 14 +++++++------- .../yolox_bytetrack_osd_qt/config/yolox_group.json | 14 +++++++------- 11 files changed, 37 insertions(+), 38 deletions(-) diff --git a/element/algorithm/yolox/README.md b/element/algorithm/yolox/README.md index dbd46bc6..89290cce 100644 --- a/element/algorithm/yolox/README.md +++ b/element/algorithm/yolox/README.md @@ -24,9 +24,9 @@ sophon-stream yolox插件具有一些可配置的参数,可以根据需求进 0 ], "std": [ - 1, - 1, - 1 + 0.0039216, + 0.0039216, + 0.0039216 ], "stage": [ "pre" diff --git a/element/algorithm/yolox/README_EN.md b/element/algorithm/yolox/README_EN.md index 560a6c87..2428aa48 100644 --- a/element/algorithm/yolox/README_EN.md +++ b/element/algorithm/yolox/README_EN.md @@ -24,9 +24,9 @@ The Sophon-Stream YOLOX plugin has several configurable parameters that can be a 0 ], "std": [ - 1, - 1, - 1 + 0.0039216, + 0.0039216, + 0.0039216 ], "stage": [ "pre" diff --git a/element/algorithm/yolox/src/yolox.cc b/element/algorithm/yolox/src/yolox.cc index 7dee2978..9cdbf547 100644 --- a/element/algorithm/yolox/src/yolox.cc +++ b/element/algorithm/yolox/src/yolox.cc @@ -117,8 +117,7 @@ common::ErrorCode Yolox::initContext(const std::string& json) { // 4. converto float input_scale = inputTensor->get_scale(); - // yolox原始模型输入是0-255,scale=1.0意味着不需要做缩放 - // input_scale /= 255; + input_scale = input_scale * 1.0 / 255.f; mContext->converto_attr.alpha_0 = input_scale / (mContext->stdd[0]); mContext->converto_attr.beta_0 = -(mContext->mean[0]) / (mContext->stdd[0]); mContext->converto_attr.alpha_1 = input_scale / (mContext->stdd[1]); diff --git a/samples/bytetrack/config/yolox_infer.json b/samples/bytetrack/config/yolox_infer.json index 976fd099..43c63f1f 100644 --- a/samples/bytetrack/config/yolox_infer.json +++ b/samples/bytetrack/config/yolox_infer.json @@ -91,9 +91,9 @@ 0 ], "std": [ - 1, - 1, - 1 + 0.0039216, + 0.0039216, + 0.0039216 ], "stage": [ "infer" diff --git a/samples/bytetrack/config/yolox_post.json b/samples/bytetrack/config/yolox_post.json index eef703b3..5de69503 100644 --- a/samples/bytetrack/config/yolox_post.json +++ b/samples/bytetrack/config/yolox_post.json @@ -91,9 +91,9 @@ 0 ], "std": [ - 1, - 1, - 1 + 0.0039216, + 0.0039216, + 0.0039216 ], "stage": [ "post" diff --git a/samples/bytetrack/config/yolox_pre.json b/samples/bytetrack/config/yolox_pre.json index 446148b9..208de377 100644 --- a/samples/bytetrack/config/yolox_pre.json +++ b/samples/bytetrack/config/yolox_pre.json @@ -91,9 +91,9 @@ 0 ], "std": [ - 1, - 1, - 1 + 0.0039216, + 0.0039216, + 0.0039216 ], "stage": [ "pre" diff --git a/samples/yolox/README.md b/samples/yolox/README.md index 78984732..84b84983 100644 --- a/samples/yolox/README.md +++ b/samples/yolox/README.md @@ -80,9 +80,9 @@ chmod -R +x scripts/ ``` 模型说明: -1.`yolox_s_bytetrack_`系列模型移植于[bytetrack官方](https://github.com/ifzhang/ByteTrack),插件配置`mean=[0,0,0]`,`std=[255,255,255]`,支持person类别的检测任务。 +1.`yolox_s_bytetrack_`系列模型移植于[bytetrack官方](https://github.com/ifzhang/ByteTrack),插件配置`mean=[0.485, 0.456, 0.406]`,`std=[0.229, 0.224, 0.225]`,支持person类别的检测任务。 -2.`yolox_s`系列模型移植于[yolox官方](https://github.com/Megvii-BaseDetection/YOLOX),插件配置`mean=[0,0,0]`,`std=[1,1,1]`,支持COCO数据集的80分类检测任务。 +2.`yolox_s`系列模型移植于[yolox官方](https://github.com/Megvii-BaseDetection/YOLOX),插件配置`mean=[0,0,0]`,`std=[0.0039216,0.0039216,0.0039216]`,支持COCO数据集的80分类检测任务。 下载的数据包括: diff --git a/samples/yolox/README_EN.md b/samples/yolox/README_EN.md index bc109bc4..b2268404 100644 --- a/samples/yolox/README_EN.md +++ b/samples/yolox/README_EN.md @@ -83,9 +83,9 @@ The downloaded models include: Model description: -1.`yolox_s_bytetrack_` models are from [bytetrack](https://github.com/ifzhang/ByteTrack), `mean=[0,0,0]`, `std=[255,255,255]`, support for person category detection tasks. +1.`yolox_s_bytetrack_` models are from [bytetrack](https://github.com/ifzhang/ByteTrack), `mean=[0.485, 0.456, 0.406]`,`std=[0.229, 0.224, 0.225]`, support for person category detection tasks. -2.`yolox_s` models are from [yolox](https://github.com/Megvii-BaseDetection/YOLOX), `mean=[0,0,0]`, `std=[1,1,1]`, support for 80 classes of COCO dataset. +2.`yolox_s` models are from [yolox](https://github.com/Megvii-BaseDetection/YOLOX), `mean=[0,0,0]`,`std=[0.0039216,0.0039216,0.0039216]`, support for 80 classes of COCO dataset. The downloaded data include: diff --git a/samples/yolox/config/yolox_group.json b/samples/yolox/config/yolox_group.json index 8b4ad038..c9e2dfc6 100644 --- a/samples/yolox/config/yolox_group.json +++ b/samples/yolox/config/yolox_group.json @@ -10,9 +10,9 @@ 0 ], "std": [ - 1, - 1, - 1 + 0.0039216, + 0.0039216, + 0.0039216 ] }, "shared_object": "../../build/lib/libyolox.so", diff --git a/samples/yolox_bytetrack_osd_encode/config/yolox_group.json b/samples/yolox_bytetrack_osd_encode/config/yolox_group.json index 94a14422..23d2aad1 100644 --- a/samples/yolox_bytetrack_osd_encode/config/yolox_group.json +++ b/samples/yolox_bytetrack_osd_encode/config/yolox_group.json @@ -4,15 +4,15 @@ "threshold_conf":0.5, "threshold_nms":0.5, "bgr2rgb": true, - "mean": [ - 0, - 0, - 0 + "mean":[ + 0.485, + 0.456, + 0.406 ], "std": [ - 255, - 255, - 255 + 0.229, + 0.224, + 0.225 ] }, "shared_object":"../../build/lib/libyolox.so", diff --git a/samples/yolox_bytetrack_osd_qt/config/yolox_group.json b/samples/yolox_bytetrack_osd_qt/config/yolox_group.json index d8c4d62c..559eda8f 100644 --- a/samples/yolox_bytetrack_osd_qt/config/yolox_group.json +++ b/samples/yolox_bytetrack_osd_qt/config/yolox_group.json @@ -4,15 +4,15 @@ "threshold_conf":0.5, "threshold_nms":0.5, "bgr2rgb": true, - "mean": [ - 0, - 0, - 0 + "mean":[ + 0.485, + 0.456, + 0.406 ], "std": [ - 255, - 255, - 255 + 0.229, + 0.224, + 0.225 ] }, "shared_object":"../../build/lib/libyolox.so", From f8c119e21155f105e045fc6e4d890d5992a8eb4a Mon Sep 17 00:00:00 2001 From: "haibo.wan" Date: Mon, 19 Aug 2024 21:41:58 +0800 Subject: [PATCH 2/7] fix(ppocr): Change the resize method in det Change-Id: I26e97811aa084cf1c81189bf0c784f91401923eb --- .../algorithm/ppocr/src/ppocr_det/ppocr_det_pre_process.cc | 7 ++----- 1 file changed, 2 insertions(+), 5 deletions(-) diff --git a/element/algorithm/ppocr/src/ppocr_det/ppocr_det_pre_process.cc b/element/algorithm/ppocr/src/ppocr_det/ppocr_det_pre_process.cc index 8f076f8a..7dbf4137 100644 --- a/element/algorithm/ppocr/src/ppocr_det/ppocr_det_pre_process.cc +++ b/element/algorithm/ppocr/src/ppocr_det/ppocr_det_pre_process.cc @@ -86,11 +86,8 @@ common::ErrorCode Ppocr_detPreProcess::preProcess( } else { ratio = 1; } - int resize_h = int(h * ratio); - int resize_w = int(w * ratio); - - resize_h = std::max(int(pythonRound((float)resize_h / 32) * 32), 32); - resize_w = std::max(int(pythonRound((float)resize_w / 32) * 32), 32); + int resize_h = context->net_h; + int resize_w = context->net_w; objMetadata->resize_vector.push_back(resize_h); objMetadata->resize_vector.push_back(resize_w); From f447ef30a6b55cbbc4f88d86df52a91538f2b161 Mon Sep 17 00:00:00 2001 From: wyf12321 Date: Thu, 22 Aug 2024 17:57:05 +0800 Subject: [PATCH 3/7] fix(distributor): mFrame add height and width Change-Id: Ie9082c2c5813675dca089dccce7ee1b80dab735d --- element/tools/distributor/src/distributor.cc | 2 ++ 1 file changed, 2 insertions(+) diff --git a/element/tools/distributor/src/distributor.cc b/element/tools/distributor/src/distributor.cc index 1181e3cd..0182e355 100644 --- a/element/tools/distributor/src/distributor.cc +++ b/element/tools/distributor/src/distributor.cc @@ -177,6 +177,8 @@ void Distributor::makeSubObjectMetadata( subObj->mFrame->mSpData = cropped; } else { subObj->mFrame->mSpData = obj->mFrame->mSpData; + subObj->mFrame->mHeight = obj->mFrame->mHeight; + subObj->mFrame->mWidth = obj->mFrame->mWidth; } // update frameid, channelid From 5a6892f791c33794f178aa590d476adda143a045 Mon Sep 17 00:00:00 2001 From: "yizhou.xu" Date: Fri, 23 Aug 2024 09:41:39 +0800 Subject: [PATCH 4/7] remove common_def.h in CMakeLists.txt Change-Id: I9afa2f393c430bd731594d3e33cdca01a643c64d --- framework/CMakeLists.txt | 2 -- 1 file changed, 2 deletions(-) diff --git a/framework/CMakeLists.txt b/framework/CMakeLists.txt index bfa7f347..75b884f4 100644 --- a/framework/CMakeLists.txt +++ b/framework/CMakeLists.txt @@ -47,7 +47,6 @@ if (${TARGET_ARCH} STREQUAL "pcie") add_library(ivslogger SHARED common/logger.cc common/profiler.cc - common/common_defs.h common/http_defs.cc common/common_tool.cc ) @@ -109,7 +108,6 @@ elseif(${TARGET_ARCH} STREQUAL "soc") add_library(ivslogger SHARED common/logger.cc common/profiler.cc - common/common_defs.h common/http_defs.cc common/common_tool.cc ) From 6152a3a855d10a9ffbe7e1c07ca0441fed1538ce Mon Sep 17 00:00:00 2001 From: "yizhou.xu" Date: Fri, 23 Aug 2024 09:57:45 +0800 Subject: [PATCH 5/7] remove comments Change-Id: I9708c552f0ebbb02b1ad0920e83c289ce8f7cbf4 --- framework/src/element.cc | 3 --- 1 file changed, 3 deletions(-) diff --git a/framework/src/element.cc b/framework/src/element.cc index f3a08ab3..7a9226c8 100644 --- a/framework/src/element.cc +++ b/framework/src/element.cc @@ -170,9 +170,6 @@ common::ErrorCode Element::resume() { void Element::run(int dataPipeId) { onStart(); prctl(PR_SET_NAME, std::to_string(mId).c_str()); - // IVS_CRITICAL("create thread, mID = {0}, threadNumber = {1}, tid = {2}", - // mId, - // dataPipeId, gettid()); while (ThreadStatus::RUN == mThreadStatus) { doWork(dataPipeId); std::this_thread::yield(); From 2271b9e31a90cbc49282e0069a8b7e44f4bea0d9 Mon Sep 17 00:00:00 2001 From: wyf12321 Date: Wed, 21 Aug 2024 18:56:46 +0800 Subject: [PATCH 6/7] add structured_recognition Change-Id: I4ac7ba517b0fb64f4cfb6dfef1675f642c5dbce9 --- samples/structured_recognition/README.md | 196 +++++++++++++++++ samples/structured_recognition/README_EN.md | 199 ++++++++++++++++++ .../config/converger.json | 9 + .../structured_recognition/config/decode.json | 7 + .../config/distributor_frame.json | 39 ++++ .../config/distributor_time_class.json | 23 ++ .../structured_recognition/config/encode.json | 14 ++ .../config/engine_group.json | 151 +++++++++++++ .../config/lprnet_group.json | 9 + .../config/retinaface_group.json | 23 ++ .../config/structured_recognition_demo.json | 15 ++ .../config/yolov5_group.json | 105 +++++++++ .../config/yolov5_lpr_group.json | 24 +++ .../pics/engine_group.png | Bin 0 -> 75372 bytes samples/structured_recognition/pics/res0.png | Bin 0 -> 122562 bytes samples/structured_recognition/pics/res1.png | Bin 0 -> 70996 bytes samples/structured_recognition/pics/res2.png | Bin 0 -> 70873 bytes .../pics/structured_recognition.png | Bin 0 -> 19222 bytes samples/structured_recognition/pics/web.png | Bin 0 -> 24929 bytes samples/structured_recognition/pics/web1.png | Bin 0 -> 60262 bytes .../scripts/download.sh | 34 +++ 21 files changed, 848 insertions(+) create mode 100755 samples/structured_recognition/README.md create mode 100755 samples/structured_recognition/README_EN.md create mode 100755 samples/structured_recognition/config/converger.json create mode 100755 samples/structured_recognition/config/decode.json create mode 100755 samples/structured_recognition/config/distributor_frame.json create mode 100755 samples/structured_recognition/config/distributor_time_class.json create mode 100644 samples/structured_recognition/config/encode.json create mode 100755 samples/structured_recognition/config/engine_group.json create mode 100755 samples/structured_recognition/config/lprnet_group.json create mode 100755 samples/structured_recognition/config/retinaface_group.json create mode 100755 samples/structured_recognition/config/structured_recognition_demo.json create mode 100644 samples/structured_recognition/config/yolov5_group.json create mode 100755 samples/structured_recognition/config/yolov5_lpr_group.json create mode 100644 samples/structured_recognition/pics/engine_group.png create mode 100644 samples/structured_recognition/pics/res0.png create mode 100644 samples/structured_recognition/pics/res1.png create mode 100644 samples/structured_recognition/pics/res2.png create mode 100644 samples/structured_recognition/pics/structured_recognition.png create mode 100644 samples/structured_recognition/pics/web.png create mode 100644 samples/structured_recognition/pics/web1.png create mode 100755 samples/structured_recognition/scripts/download.sh diff --git a/samples/structured_recognition/README.md b/samples/structured_recognition/README.md new file mode 100755 index 00000000..b2b9d109 --- /dev/null +++ b/samples/structured_recognition/README.md @@ -0,0 +1,196 @@ +# structured_recognition Demo + +[English](README_EN.md) | 简体中文 + +## 目录 + +- [structured\_recognition Demo](#structured_recognition-demo) + - [目录](#目录) + - [1. 简介](#1-简介) + - [2. 特性](#2-特性) + - [3. 准备模型与数据](#3-准备模型与数据) + - [4. 环境准备](#4-环境准备) + - [4.1 x86/arm PCIe 平台](#41-x86arm-pcie-平台) + - [4.2 SoC 平台](#42-soc-平台) + - [4.3 在SoC平台安装可视化工具](#43-在soc平台安装可视化工具) + - [5. 程序编译](#5-程序编译) + - [5.1 x86/arm PCIe 平台](#51-x86arm-pcie-平台) + - [5.2 SoC 平台](#52-soc-平台) + - [6. 程序运行](#6-程序运行) + - [6.1 Json 配置说明](#61-json-配置说明) + - [6.2 运行](#62-运行) + - [7. 性能测试](#7-性能测试) + +## 1. 简介 + +本例程用于说明如何使用 sophon-stream 将一路码流分发给多个算法模块,快速构建一个结构化识别算法应用(机动车、非机动车、人、人脸、车牌)。 +本例程插件连接方式如下图所示。 +将一路video视频解码后,通过distributor插件分发给3个算法,yolov5进行人、机动车、非机动车识别,retinaface进行人脸识别,license_plate_recognition进行车牌识别。 +![structured_recognition](./pics/structured_recognition.png) +本例程使用的模型来自[yolov5](../yolov5/README.md)、[retinaface](../retinaface/README.md)、[license_plate_recognition](../license_plate_recognition/README.md)例程 + +## 2. 特性 + +- 支持 BM1684X、BM1684(x86 PCIe、SoC)、BM1688(SoC) +- 支持多个算法检测一路视频流 +- 支持多线程 + +## 3. 准备模型与数据 + +​ 在`scripts`目录下提供了相关模型和数据的下载脚本 [download.sh](./scripts/download.sh)。 + +```bash +chmod -R +x scripts/ +./scripts/download.sh +``` + +脚本执行完毕后,会在当前目录下生成`data`目录,其中,`coco_lpr.names`为车牌检测yolov5s模型的分类集,`coco.names`为常规yolov5s模型的分类集,`models`存放模型文件。 + +下载的模型和数据包括: + +```bash +. +├── data +│ ├── coco_lpr.names +│ ├── coco.names +│ ├── models +│ │ ├── lprnet +│ │ │ ├── BM1684 +│ │ │ │ └── lprnet_int8_1b.bmodel +│ │ │ ├── BM1684X +│ │ │ │ └── lprnet_int8_1b.bmodel +│ │ │ └── BM1688 +│ │ │ └── lprnet_int8_1b.bmodel +│ │ ├── retinaface +│ │ │ ├── BM1684 +│ │ │ │ └── retinaface_mobilenet0.25_int8_1b.bmodel +│ │ │ ├── BM1684X +│ │ │ │ └── retinaface_mobilenet0.25_int8_1b.bmodel +│ │ │ └── BM1688 +│ │ │ ├── retinaface_mobilenet0.25_int8_1b_2core.bmodel +│ │ │ └── retinaface_mobilenet0.25_int8_1b.bmodel +│ │ ├── yolov5s +│ │ │ ├── BM1684 +│ │ │ │ └── yolov5s_v6.1_3output_int8_1b.bmodel +│ │ │ ├── BM1684X +│ │ │ │ └── yolov5s_v6.1_3output_int8_1b.bmodel +│ │ │ └── BM1688 +│ │ │ ├── yolov5s_v6.1_3output_int8_1b_2core.bmodel +│ │ │ └── yolov5s_v6.1_3output_int8_1b.bmodel +│ │ └── yolov5s-licensePLate +│ │ ├── BM1684 +│ │ │ └── yolov5s_v6.1_license_3output_int8_1b.bmodel +│ │ ├── BM1684X +│ │ │ └── yolov5s_v6.1_license_3output_int8_1b.bmodel +│ │ └── BM1688 +│ │ ├── yolov5s_v6.1_license_3output_int8_1b_2core.bmodel +│ │ └── yolov5s_v6.1_license_3output_int8_1b.bmodel +│ └── videos +│ └── structs.mp4 +└── tools + └── application-web-linux_arm64.tgz +``` +其中application-web-linux_arm64.tgz是在SoC平台运行的web可视化工具。 + +模型及数据说明: 为方便下载和测试,本例程仅采用int8精度模型,如需其他精度模型,可在[yolov5](../yolov5/README.md)、[retinaface](../retinaface/README.md)、[license_plate_recognition](../license_plate_recognition/README.md)例程下载。 + +数据包括:类别集合coco_lpr.names、coco.names以及测试视频structs.mp4 + + +## 4. 环境准备 + +### 4.1 x86/arm PCIe 平台 + +如果您在 x86/arm 平台安装了 PCIe 加速卡(如 SC 系列加速卡),可以直接使用它作为开发环境和运行环境。您需要安装 libsophon、sophon-opencv 和 sophon-ffmpeg,具体步骤可参考[x86-pcie 平台的开发和运行环境搭建](../../docs/EnvironmentInstallGuide.md#3-x86-pcie平台的开发和运行环境搭建)或[arm-pcie 平台的开发和运行环境搭建](../../docs/EnvironmentInstallGuide.md#5-arm-pcie平台的开发和运行环境搭建)。 + +### 4.2 SoC 平台 + +如果您使用 SoC 平台(如 SE、SM 系列边缘设备),刷机后在`/opt/sophon/`下已经预装了相应的 libsophon、sophon-opencv 和 sophon-ffmpeg 运行库包,可直接使用它作为运行环境。通常还需要一台 x86 主机作为开发环境,用于交叉编译 C++程序。 + +### 4.3 在SoC平台安装可视化工具 +在SoC平台依次执行安装命令: +```bash +tar -xzvf application-web-linux_arm64.tgz +cd application_web/ +sudo ./install.sh +``` +安装完成后,使用浏览器输入`http://{ip}:8089`,打开页面,ip为SoC平台设备ip地址。用户名和密码均为`admin` +![web](./pics/web.png) +## 5. 程序编译 + +### 5.1 x86/arm PCIe 平台 + +可以直接在 PCIe 平台上编译程序,具体请参考[sophon-stream 编译](../../docs/HowToMake.md)。 + +### 5.2 SoC 平台 + +通常在 x86 主机上交叉编译程序,您需要在 x86 主机上使用 SOPHON SDK 搭建交叉编译环境,将程序所依赖的头文件和库文件打包至 sophon_sdk_soc 目录中,具体请参考[sophon-stream 编译](../../docs/HowToMake.md)。本例程主要依赖 libsophon、sophon-opencv 和 sophon-ffmpeg 运行库包。 + +## 6. 程序运行 + +### 6.1 Json 配置说明 + +structured_recognition demo 中各部分参数位于 [config](./config/) 目录,结构如下所示: + +```bash +config/ +├── converger.json +├── decode.json +├── distributor_frame.json +├── distributor_time_class.json +├── encode.json +├── engine_group.json +├── lprnet_group.json +├── retinaface_group.json +├── structured_recognition_demo.json +├── yolov5_group.json +└── yolov5_lpr_group.json +``` + + +[engine_group.json](./config/engine_group.json)是例程的整体配置文件,管理输入码流等信息。在一张图上可以支持多路数据的输入,以及一路码流分配给多个算法检测。 + +在该文件内,需要初始化每个 element 的信息和 element 之间的连接方式。element_id 是唯一的,起到标识身份的作用。element_config 指向该 element 的详细配置文件地址,port_id 是该 element 的输入输出端口编号,多输入或多输出的情况下,输入/输出编号也不可以重复。is_src 标志当前端口是否是整张图的输入端口,is_sink 标识当前端口是否是整张图的输出端口。 +connection 是所有 element 之间的连接方式,通过 element_id 和 port_id 确定。 + +[engine_group.json](./config/engine_group.json)的配置如图所示: +![engine_group](./pics/engine_group.png) +其中1000-1009为每个`element`的id,配置文件中的`connections`表示连接`element`的箭头,每个`element`默认端口都为0;由于`distributor`需要将一帧图片分发给多个`element`,因此除了默认端口0以外,还有端口1-3,上图中,红色数字标注为`distributor`和`converger`插件的端口;`converger`插件是配合`distributor`实现数据汇集功能,接受端口需要和`distributor`发送的端口保持一致。 +最后通过`encode`插件将数据转为json格式,通过websock方式推流。 + + +### 6.2 运行 + +对于 PCIe 平台,可以直接在 PCIe 平台上运行测试;对于 SoC 平台,需将交叉编译生成的动态链接库、可执行文件、所需的模型和测试数据拷贝到 SoC 平台中测试。 + +SoC 平台上,动态库、可执行文件、配置文件、模型、视频数据的目录结构关系应与原始 sophon-stream 仓库中的关系保持一致。 + +测试的参数及运行方式是一致的,下面主要以 PCIe 模式进行介绍。 + +1. 运行可执行文件 +```bash +./main --demo_config_path=../structured_recognition/config/structured_recognition_demo.json +``` +2. 打开可视化工具 +打开推理结果页面,输入websock链接,格式为`ws://{ip}:{port}`,如`ws://192.168.0.101:9002`,其中端口值是由[encode.json](./config/encode.json)文件中`wss_port`字段决定,比如`wss_port`值为9000,[engine_group.json](./config/engine_group.json)中`channel_id`为2,那么这一路视频流结果地址就是9002。 +
+ web1 +
+点击播放,即可播放检测结果的图片流。 +
+ res0 +
+
+ res1 +
+点击调试模式,可以在浏览器控制台打印每一帧结果的内容,可查看上报数据的json格式 +
+ res2 +
+ + +## 7. 性能测试 + +由于全流程依赖输入视频fps且ws上传速度慢,本例程暂不提供性能测试结果,如需各模型推理性能,请到对应模型例程查看。 + +**注意** encode插件会将图片进行base64编码,速度比较慢;如果去掉encode插件,可跑满源视频的30fps。 \ No newline at end of file diff --git a/samples/structured_recognition/README_EN.md b/samples/structured_recognition/README_EN.md new file mode 100755 index 00000000..1d5ae404 --- /dev/null +++ b/samples/structured_recognition/README_EN.md @@ -0,0 +1,199 @@ +# structured_recognition Demo + +English | [简体中文](README.md) + +## Catalogs + +- [structured\_recognition Demo](#structured_recognition-demo) + - [Catalogs](#catalogs) + - [1. Introduction](#1-introduction) + - [2. Features](#2-features) + - [3. Prepare Models and Data](#3-prepare-models-and-data) + - [4. Prepare Environment](#4-prepare-environment) + - [4.1 x86/arm PCIe Platform](#41-x86arm-pcie-platform) + - [4.2 SoC Platform](#42-soc-platform) + - [4.3 Installing the Visualization Tool on the SoC Platform](#43-installing-the-visualization-tool-on-the-soc-platform) + - [5. Program Compilation](#5-program-compilation) + - [5.1 x86/arm PCIe Platform](#51-x86arm-pcie-platform) + - [5.2 SoC Platform](#52-soc-platform) + - [6. Program Execution](#6-program-execution) + - [6.1 Json Configuration Explanation](#61-json-configuration-explanation) + - [6.2 Execution](#62-execution) + - [7. Performance Testing](#7-performance-testing) + + +## 1. Introduction + +This example illustrates how to use sophon-stream to distribute a single stream to multiple algorithm modules, quickly building a structured recognition algorithm application (including motor vehicles, non-motor vehicles, people, faces, and license plates). +The plugin connection method for this example is shown in the following diagram. +After decoding a single video stream, it is distributed to three algorithms via the distributor plugin: yolov5 for recognizing people, motor vehicles, and non-motor vehicles; retinaface for face recognition; and license_plate_recognition for license plate recognition. + +![structured_recognition](./pics/structured_recognition.png) + +The models used in this example are from the [yolov5](../yolov5/README.md), [retinaface](../retinaface/README.md), and [license_plate_recognition](../license_plate_recognition/README.md) examples. + + +## 2. Features + +- Supports BM1684X, BM1684 (x86 PCIe, SoC), BM1688 (SoC) +- Supports multiple algorithms detecting a single video stream +- Supports multithreading + +## 3. Prepare Models and Data + +In the `scripts` directory, download scripts for relevant models and data are provided in [download.sh](./scripts/download.sh). + +```bash +chmod -R +x scripts/ +./scripts/download.sh +``` + +After the script is executed, a `data` directory will be generated in the current directory. In this directory, `coco_lpr.names` contains the class set for the license plate detection yolov5s model, `coco.names` contains the class set for the regular yolov5s model, and `models` stores the model files. + + +The downloaded data include: + +```bash +. +├── data +│ ├── coco_lpr.names +│ ├── coco.names +│ ├── models +│ │ ├── lprnet +│ │ │ ├── BM1684 +│ │ │ │ └── lprnet_int8_1b.bmodel +│ │ │ ├── BM1684X +│ │ │ │ └── lprnet_int8_1b.bmodel +│ │ │ └── BM1688 +│ │ │ └── lprnet_int8_1b.bmodel +│ │ ├── retinaface +│ │ │ ├── BM1684 +│ │ │ │ └── retinaface_mobilenet0.25_int8_1b.bmodel +│ │ │ ├── BM1684X +│ │ │ │ └── retinaface_mobilenet0.25_int8_1b.bmodel +│ │ │ └── BM1688 +│ │ │ ├── retinaface_mobilenet0.25_int8_1b_2core.bmodel +│ │ │ └── retinaface_mobilenet0.25_int8_1b.bmodel +│ │ ├── yolov5s +│ │ │ ├── BM1684 +│ │ │ │ └── yolov5s_v6.1_3output_int8_1b.bmodel +│ │ │ ├── BM1684X +│ │ │ │ └── yolov5s_v6.1_3output_int8_1b.bmodel +│ │ │ └── BM1688 +│ │ │ ├── yolov5s_v6.1_3output_int8_1b_2core.bmodel +│ │ │ └── yolov5s_v6.1_3output_int8_1b.bmodel +│ │ └── yolov5s-licensePLate +│ │ ├── BM1684 +│ │ │ └── yolov5s_v6.1_license_3output_int8_1b.bmodel +│ │ ├── BM1684X +│ │ │ └── yolov5s_v6.1_license_3output_int8_1b.bmodel +│ │ └── BM1688 +│ │ ├── yolov5s_v6.1_license_3output_int8_1b_2core.bmodel +│ │ └── yolov5s_v6.1_license_3output_int8_1b.bmodel +│ └── videos +│ └── structs.mp4 +└── tools + └── application-web-linux_arm64.tgz +``` + +The `application-web-linux_arm64.tgz` is a web visualization tool that runs on the SoC platform. + +Model and Data Description: For convenience in downloading and testing, this example only uses int8 precision models. If other precision models are needed, they can be downloaded from the [yolov5](../yolov5/README.md), [retinaface](../retinaface/README.md), and [license_plate_recognition](../license_plate_recognition/README.md) examples. + +The data includes: category sets `coco_lpr.names`, `coco.names`, and the test video `structs.mp4`. + + +## 4. Prepare Environment + +### 4.1 x86/arm PCIe Platform + +If you have installed a PCIe accelerator card (such as the SC series card) on an x86/arm platform, you can directly use it as the development or runtime environment. You need to install libsophon, sophon-opencv, and sophon-ffmpeg. For specific steps, please refer to [the setup guide for x86-pcie platform](../../docs/EnvironmentInstallGuide_EN.md#3-x86-pcie-platform-development-and-runtime-environment-construction) or [setup guide for arm-pcie platform](../../docs/EnvironmentInstallGuide_EN.md#5-arm-pcie-platform-development-and-runtime-environment-construction). + +### 4.2 SoC Platform + +If you are using the SoC platform (such as SE or SM series edge devices), after flashing(Upgrade the operating system by SD card.), the corresponding libsophon, sophon-opencv, and sophon-ffmpeg runtime library packages are pre-installed under `/opt/sophon/`, which can be directly used as the runtime environment. Typically, you would also need an x86 machine as the development environment for cross-compiling C++ programs. + +### 4.3 Installing the Visualization Tool on the SoC Platform +Execute the following installation commands sequentially on the SoC platform: +```bash +tar -xzvf application-web-linux_arm64.tgz +cd application_web/ +sudo ./install.sh +``` +After the installation is complete, open a browser and enter `http://{ip}:8089` to open the page, where ip is the IP address of the SoC platform device. Both the username and password are `admin`. + +## 5. Program Compilation + +### 5.1 x86/arm PCIe Platform +You can directly compile programs on the PCIe platform. For specifics, please refer to [sophon-stream compilation](../../docs/HowToMake_EN.md). + +### 5.2 SoC Platform +Typically, programs are cross-compiled on an x86 computer. You need to set up a cross-compilation environment using SOPHON SDK on the x86 computer. Package the necessary include files and library files for the program into the `sophon_sdk_soc` directory. For specifics, please refer to [sophon-stream compilation](../../docs/HowToMake_EN.md). This example mainly dependes on the libsophon, sophon-opencv, and sophon-ffmpeg runtime library packages. + +## 6. Program Execution + +### 6.1 Json Configuration Explanation + +Various parameters in the license_plate_recognition demo are located in the [config](./config/) directory, structured as follows: + +```bash +config/ +├── converger.json +├── decode.json +├── distributor_frame.json +├── distributor_time_class.json +├── encode.json +├── engine_group.json +├── lprnet_group.json +├── retinaface_group.json +├── structured_recognition_demo.json +├── yolov5_group.json +└── yolov5_lpr_group.json +``` + +The [engine_group.json](./config/engine_group.json) file is the overall configuration file for the example, managing information such as input streams. It supports multiple data inputs on one diagram and allows a single stream to be allocated to multiple algorithm detections. + +In this file, you need to initialize the information for each element and the connections between elements. The `element_id` is unique and serves as an identifier. The `element_config` points to the detailed configuration file address for that element. The `port_id` is the input/output port number of the element. In cases of multiple inputs or outputs, the input/output numbers must not be duplicated. The `is_src` flag indicates whether the current port is an input port for the entire diagram, and the `is_sink` flag indicates whether the current port is an output port for the entire diagram. +The `connection` defines the connections between all elements, determined by `element_id` and `port_id`. + +The configuration of [engine_group.json](./config/engine_group.json) is shown in the figure below: + +![engine_group](./pics/engine_group.png) + +Where 1000-1009 are the IDs for each `element`. The `connections` in the configuration file represent the arrows connecting the `elements`, with each `element` having a default port of 0. Since the `distributor` needs to distribute a frame of image to multiple `elements`, it has ports 1-3 in addition to the default port 0. In the figure above, the red numbers indicate the ports of the `distributor` and `converger` plugins. The `converger` plugin works with the `distributor` to achieve data aggregation, and its receiving ports need to match the sending ports of the `distributor`. +Finally, the `encode` plugin converts the data into JSON format and streams it via WebSocket. + +### 6.2 Execution + +For the PCIe platform, you can directly run the test on the PCIe platform. For the SoC platform, you need to copy the dynamically linked libraries, executable files, required models, and test data generated by cross-compilation to the SoC platform for testing. + +On the SoC platform, the directory structure of dynamic libraries, executable files, configuration files, models, and video data should be consistent with the original sophon-stream repository. + +The parameters and running methods for testing are the same. The following mainly introduces the PCIe mode. + +1. Run the executable file +```bash +./main --demo_config_path=../license_plate_recognition/config/license_plate_recognition_demo.json +``` +2. Open the Visualization Tool +Open the inference result page and enter the WebSocket link in the format `ws://{ip}:{port}`, such as `ws://192.168.0.101:9002`. The port value is determined by the `wss_port` field in the [encode.json](./config/encode.json) file. For example, if the `wss_port` value is 9000 and the `channel_id` in [engine_group.json](./config/engine_group.json) is 2, then the address for this video stream result is 9002. +
+ web1 +
+Click play to start playing the image stream of the detection results. +
+ res0 +
+
+ res1 +
+Click on debug mode to print the content of each frame result in the browser console, allowing you to view the JSON format of the reported data. +
+ res2 +
+ +## 7. Performance Testing + +Due to the entire process relying on the input video FPS and the slow WebSocket upload speed, this example does not provide performance test results. For inference performance of each model, please refer to the corresponding model examples. + +**Note**: The encode plugin will base64 encode the images, which is relatively slow; if you remove the encode plugin, the source video can run at 30fps. diff --git a/samples/structured_recognition/config/converger.json b/samples/structured_recognition/config/converger.json new file mode 100755 index 00000000..31e35cfb --- /dev/null +++ b/samples/structured_recognition/config/converger.json @@ -0,0 +1,9 @@ +{ + "configure": { + "default_port": 0 + }, + "shared_object": "../../build/lib/libconverger.so", + "name": "converger", + "side": "sophgo", + "thread_number": 1 +} \ No newline at end of file diff --git a/samples/structured_recognition/config/decode.json b/samples/structured_recognition/config/decode.json new file mode 100755 index 00000000..fb407d90 --- /dev/null +++ b/samples/structured_recognition/config/decode.json @@ -0,0 +1,7 @@ +{ + "configure": {}, + "shared_object": "../../build/lib/libdecode.so", + "name": "decode", + "side": "sophgo", + "thread_number": 1 +} \ No newline at end of file diff --git a/samples/structured_recognition/config/distributor_frame.json b/samples/structured_recognition/config/distributor_frame.json new file mode 100755 index 00000000..54b37238 --- /dev/null +++ b/samples/structured_recognition/config/distributor_frame.json @@ -0,0 +1,39 @@ +{ + "configure": { + "default_port": 0, + "rules": [ + { + "frame_interval": 2, + "routes": [ + { + "classes":[], + "port": 1 + } + ] + }, + { + "frame_interval": 3, + "routes": [ + { + "classes":[], + "port": 2 + } + ] + }, + { + "frame_interval": 4, + "routes": [ + { + "classes":[], + "port": 3 + } + ] + } + ], + "class_names_file": "../structured_recognition/data/coco_lpr.names" + }, + "shared_object": "../../build/lib/libdistributor.so", + "name": "distributor", + "side": "sophgo", + "thread_number": 1 +} \ No newline at end of file diff --git a/samples/structured_recognition/config/distributor_time_class.json b/samples/structured_recognition/config/distributor_time_class.json new file mode 100755 index 00000000..ef8c6114 --- /dev/null +++ b/samples/structured_recognition/config/distributor_time_class.json @@ -0,0 +1,23 @@ +{ + "configure": { + "default_port": 0, + "rules": [ + { + "frame_interval": 1, + "routes": [ + { + "classes": [ + "license_plate" + ], + "port": 1 + } + ] + } + ], + "class_names_file": "../structured_recognition/data/coco_lpr.names" + }, + "shared_object": "../../build/lib/libdistributor.so", + "name": "distributor", + "side": "sophgo", + "thread_number": 1 +} \ No newline at end of file diff --git a/samples/structured_recognition/config/encode.json b/samples/structured_recognition/config/encode.json new file mode 100644 index 00000000..fb10e00d --- /dev/null +++ b/samples/structured_recognition/config/encode.json @@ -0,0 +1,14 @@ +{ + "configure": { + "encode_type": "WS", + "wss_port": "9000", + "enc_fmt": "h264_bm", + "pix_fmt": "I420", + "ws_enc_type": "SERIALIZED", + "fps": 25 + }, + "shared_object": "../../build/lib/libencode.so", + "name": "encode", + "side": "sophgo", + "thread_number": 1 +} diff --git a/samples/structured_recognition/config/engine_group.json b/samples/structured_recognition/config/engine_group.json new file mode 100755 index 00000000..ef5c7946 --- /dev/null +++ b/samples/structured_recognition/config/engine_group.json @@ -0,0 +1,151 @@ +[ + { + "graph_id": 0, + "device_id": 0, + "graph_name": "structured_recognition", + "elements": [ + { + "element_id": 1000, + "element_config": "../structured_recognition/config/decode.json", + "ports": { + "input": [ + { + "port_id": 0, + "is_sink": false, + "is_src": true + } + ] + } + }, + { + "element_id": 1001, + "element_config": "../structured_recognition/config/distributor_frame.json" + }, + { + "element_id": 1002, + "element_config": "../structured_recognition/config/yolov5_group.json", + "inner_elements_id": [10001, 10002, 10003] + }, + { + "element_id": 1003, + "element_config": "../structured_recognition/config/retinaface_group.json", + "inner_elements_id": [20001, 20002, 20003] + }, + { + "element_id": 1004, + "element_config": "../structured_recognition/config/yolov5_lpr_group.json", + "inner_elements_id": [30001, 30002, 30003] + }, + { + "element_id": 1005, + "element_config": "../structured_recognition/config/distributor_time_class.json" + }, + { + "element_id": 1006, + "element_config": "../structured_recognition/config/lprnet_group.json", + "inner_elements_id": [40001, 40002, 40003] + }, + { + "element_id": 1007, + "element_config": "../structured_recognition/config/converger.json" + }, + { + "element_id": 1008, + "element_config": "../structured_recognition/config/converger.json" + }, + { + "element_id": 1009, + "element_config": "../structured_recognition/config/encode.json", + "ports": { + "output": [ + { + "port_id": 0, + "is_sink": true, + "is_src": false + } + ] + } + } + ], + "connections": [ + { + "src_element_id": 1000, + "src_port": 0, + "dst_element_id": 1001, + "dst_port": 0 + }, + { + "src_element_id": 1001, + "src_port": 0, + "dst_element_id": 1008, + "dst_port": 0 + }, + { + "src_element_id": 1001, + "src_port": 1, + "dst_element_id": 1002, + "dst_port": 0 + }, + { + "src_element_id": 1002, + "src_port": 0, + "dst_element_id": 1008, + "dst_port": 1 + }, + { + "src_element_id": 1001, + "src_port": 2, + "dst_element_id": 1003, + "dst_port": 0 + }, + { + "src_element_id": 1003, + "src_port": 0, + "dst_element_id": 1008, + "dst_port": 2 + }, + { + "src_element_id": 1001, + "src_port": 3, + "dst_element_id": 1004, + "dst_port": 0 + }, + { + "src_element_id": 1004, + "src_port": 0, + "dst_element_id": 1005, + "dst_port": 0 + }, + { + "src_element_id": 1005, + "src_port": 0, + "dst_element_id": 1007, + "dst_port": 0 + }, + { + "src_element_id": 1005, + "src_port": 1, + "dst_element_id": 1006, + "dst_port": 0 + }, + { + "src_element_id": 1006, + "src_port": 0, + "dst_element_id": 1007, + "dst_port": 1 + }, + { + "src_element_id": 1007, + "src_port": 0, + "dst_element_id": 1008, + "dst_port": 3 + }, + { + "src_element_id": 1008, + "src_port": 0, + "dst_element_id": 1009, + "dst_port": 0 + } + ] + } +] \ No newline at end of file diff --git a/samples/structured_recognition/config/lprnet_group.json b/samples/structured_recognition/config/lprnet_group.json new file mode 100755 index 00000000..e1ed15fd --- /dev/null +++ b/samples/structured_recognition/config/lprnet_group.json @@ -0,0 +1,9 @@ +{ + "configure": { + "model_path": "../structured_recognition/data/models/lprnet/BM1684X/lprnet_int8_1b.bmodel" + }, + "shared_object": "../../build/lib/liblprnet.so", + "name": "lprnet_group", + "side": "sophgo", + "thread_number": 1 + } \ No newline at end of file diff --git a/samples/structured_recognition/config/retinaface_group.json b/samples/structured_recognition/config/retinaface_group.json new file mode 100755 index 00000000..04d14eed --- /dev/null +++ b/samples/structured_recognition/config/retinaface_group.json @@ -0,0 +1,23 @@ +{ + "configure": { + "model_path": "../structured_recognition/data/models/retinaface/BM1684X/retinaface_mobilenet0.25_int8_1b.bmodel", + "max_face_count":50, + "score_threshold":0.3, + "threshold_nms": 0.5, + "bgr2rgb": false, + "mean": [ + 104, + 117, + 123 + ], + "std": [ + 1, + 1, + 1 + ] + }, + "shared_object": "../../build/lib/libretinaface.so", + "name": "retinaface_group", + "side": "sophgo", + "thread_number": 1 +} \ No newline at end of file diff --git a/samples/structured_recognition/config/structured_recognition_demo.json b/samples/structured_recognition/config/structured_recognition_demo.json new file mode 100755 index 00000000..0db27aa8 --- /dev/null +++ b/samples/structured_recognition/config/structured_recognition_demo.json @@ -0,0 +1,15 @@ +{ + "channels": [ + { + "channel_id": 2, + "url": "../structured_recognition/data/videos/structs.mp4", + 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z!tT&Z3;vPO&+20ym#l3+cw{(0IbzerpO&23Up2nATmM1r&TP&3|59R+*EVSNZO~0V za~HqrIMK7>4kbZDTY{QDxl|RpC?&iU{$D?EjZYou6f%`RoIL`CN9j~3IZwu|G;2oo zqB|gBDShY6lbFfVQ^{;pA-5V~qP`q*k)bVOqP-d0C((BD`TO0&Gt8Xgz^I`8V?YS0 zt>EdPnLFNSF?a)*1EEggW^LOflUUQQMq>y@x1D7+0Hs5ckI$Heuf+}ZW}`j}NW@0p FKLDxujC241 literal 0 HcmV?d00001 diff --git a/samples/structured_recognition/scripts/download.sh b/samples/structured_recognition/scripts/download.sh new file mode 100755 index 00000000..e1bcf3d8 --- /dev/null +++ b/samples/structured_recognition/scripts/download.sh @@ -0,0 +1,34 @@ +#!/bin/bash + +pip3 install dfss --upgrade + +scripts_dir=$(dirname $(readlink -f "$0")) + +pushd $scripts_dir +# data +if [ ! -d "../data" ]; +then + mkdir -p ../data + python3 -m dfss --url=open@sophgo.com:/sophon-stream/structured_recognition/models.tgz + tar -xzf models.tgz + rm -f models.tgz + mv ./models ../data + + python3 -m dfss --url=open@sophgo.com:/sophon-stream/structured_recognition/videos.tgz + tar -xzf videos.tgz + rm -f videos.tgz + mv ./videos ../data + + python3 -m dfss --url=open@sophgo.com:/sophon-stream/structured_recognition/coco.tgz + tar -xzf coco.tgz + rm -f coco.tgz + mv ./coco* ../data + + mkdir -p ../tools + python3 -m dfss --url=open@sophgo.com:/sophon-stream/structured_recognition/application-web-linux_arm64.tgz + mv application-web-linux_arm64.tgz ../tools +else + echo "data exist!" +fi + +popd \ No newline at end of file From d5c6212a662df2a0c3f1345fcb2029ee126547cb Mon Sep 17 00:00:00 2001 From: "yizhou.xu" Date: Fri, 23 Aug 2024 15:34:54 +0800 Subject: [PATCH 7/7] add *.tgz to .gitignore Change-Id: I57859b2391f4590f3bb7a912f57d9bb8a9cec805 --- .gitignore | 1 + 1 file changed, 1 insertion(+) diff --git a/.gitignore b/.gitignore index 5af8f286..429e1d81 100644 --- a/.gitignore +++ b/.gitignore @@ -8,6 +8,7 @@ models/ *.zip *.tar *.tar.gz +*.tgz # Model file *.mlir