[ModelCenter]PaddleDetection's review(PP-YOLO, PP-YOLOv2, PP-YOLOE, PP-YOLOE+,...

[ModelCenter]PaddleDetection's review(PP-YOLO, PP-YOLOv2, PP-YOLOE, PP-YOLOE+, PP-Vehicle, PP-HumanV2, PP-Picodet, PP-TinyPose) (#5606)

* PaddleDetection's review by yezj

* Update info.yaml

* Update info.yaml

* Update info.yaml

* Update info.yaml

* Update info.yaml

* Update info.yaml

* Update info.yaml

* Update info.yaml

* delete redundancy files

* delete redundancy files of pp-tinypose

modelcenter/PP-HumanV2/APP/app.py

@@ -9,7 +9,9 @@ from pipeline.pipeline import pp_humanv2
 
 # UGC: Define the inference fn() for your models
 def model_inference(input_date, avtivity_list):
-
+    if 'do_entrance_counting'in avtivity_list or 'draw_center_traj' in avtivity_list:
+        if 'MOT' not in avtivity_list:
+            avtivity_list.append('MOT')
     result = pp_humanv2(input_date, avtivity_list)
 
     return result
@@ -26,7 +28,7 @@ with gr.Blocks() as demo:
 
         with gr.TabItem("image"):
 
-            img_in = gr.Image(label="Input")
+            img_in = gr.Image(value="https://paddledet.bj.bcebos.com/modelcenter/images/PP-Human/human_attr.jpg",label="Input")
             img_out = gr.Image(label="Output")
 
             img_avtivity_list = gr.CheckboxGroup(["ATTR"])
@@ -35,11 +37,11 @@ with gr.Blocks() as demo:
 
         with gr.TabItem("video"):
 
-            video_in = gr.Video(label="Input")
+            video_in = gr.Video(value="https://paddledet.bj.bcebos.com/modelcenter/images/PP-Human/human_attr.mp4",label="Input")
             video_out = gr.Video(label="Output")
 
             video_avtivity_list = gr.CheckboxGroup(["MOT","ATTR","VIDEO_ACTION","SKELETON_ACTION","ID_BASED_DETACTION","ID_BASED_CLSACTION","REID",\
-                                                    "do_entrance_counting","draw_center_traj"])
+                                                    "do_entrance_counting","draw_center_traj"],label="Task Choice (note: only one task should be checked)")
             video_button1 = gr.Button("Submit")
             video_button2 = gr.Button("Clear")
 

modelcenter/PP-HumanV2/APP/pipeline/pipeline.py

@@ -135,7 +135,7 @@ def get_model_dir_with_list(cfg, args):
                     cfg[key]["rec_model_dir"] = rec_model_dir
                 print("rec_model_dir model dir: ", rec_model_dir)
 
-            if key == 'ID_BASED_DETACTION' or key == 'SKELETON_ACTION':
+            if key == 'ID_BASED_DETACTION' or key == 'SKELETON_ACTION' or key == 'ATTR' or key =='ID_BASED_CLSACTION' or key=='REID':
                 model_dir = cfg['MOT']["model_dir"]
                 downloaded_model_dir = auto_download_model(model_dir)
                 if downloaded_model_dir:

modelcenter/PP-HumanV2/info.yaml

@@ -3,7 +3,7 @@ Model_Info:
   name: "PP-HumanV2"
   description: "飞桨行人场景分析工具"
   description_en: "PaddlePadle Pedestrian Scene Analysis Tool"
-  icon: ""
+  icon: "https://paddledet.bj.bcebos.com/modelcenter/images/icons/icon_PP-Vehicle.png"
   from_repo: "PaddleDetection"
 Task:
 - tag_en: "Computer Vision"
@@ -38,7 +38,7 @@ Example:
   sub_tag: "进出管理"
   url: "https://aistudio.baidu.com/aistudio/projectdetail/4537344"
 Datasets: ""
-Pulisher: "Baidu"
+Publisher: "Baidu"
 License: "apache.2.0"
 IfTraining: 0
 IfOnlineDemo: 1

modelcenter/PP-HumanV2/introduction_cn.ipynb

@@ -60,21 +60,18 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
-    "\n",
     "# 克隆PaddleDetection仓库\n",
+    "%mkdir -p ~/work\n",
     "%cd ~/work/\n",
     "!git clone https://github.com/PaddlePaddle/PaddleDetection.git\n",
     "\n",
     "# 安装其他依赖\n",
     "%cd PaddleDetection\n",
-    "!pip install -r requirements.txt\n"
+    "%mkdir -p demo_input demo_output\n",
+    "!pip install -r requirements.txt"
    ]
   },
   {
@@ -101,11 +98,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "```\n",
@@ -140,40 +133,91 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "#直接使用默认配置或者examples中配置文件，或者直接在`infer_cfg_pphuman.yml`中修改配置：\n",
     "\n",
     "# 例：行人检测，指定配置文件路径和测试图片，图片输入默认打开检测模型\n",
-    "!python deploy/pipeline/pipeline.py --config deploy/pipeline/config/infer_cfg_pphuman.yml --image_file=test_image.jpg --device=gpu\n",
-    "\n",
+    "!wget -P demo_input -N https://paddledet.bj.bcebos.com/modelcenter/images/PP-Human/human_attr.jpg \n",
+    "!python deploy/pipeline/pipeline.py --config deploy/pipeline/config/infer_cfg_pphuman.yml --image_file=demo_input/human_attr.jpg --device=gpu --output_dir=demo_output"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
     "# 例：行人属性识别，直接使用examples中配置\n",
-    "!python deploy/pipeline/pipeline.py --config deploy/pipeline/config/examples/infer_cfg_human_attr.yml --video_file=test_video.mp4 --device=gpu\n",
-    "\n",
-    "\n",
+    "!wget -P demo_input -N https://paddledet.bj.bcebos.com/modelcenter/images/PP-Human/human_attr.mp4\n",
+    "!python deploy/pipeline/pipeline.py --config deploy/pipeline/config/examples/infer_cfg_human_attr.yml --video_file=demo_input/human_attr.mp4 --device=gpu --output_dir=demo_output"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
     "#使用命令行进行功能开启，或者模型路径修改：\n",
     "\n",
     "# 例：行人跟踪，指定配置文件路径，模型路径和测试视频, 命令行中指定的模型路径优先级高于配置文件\n",
-    "!python deploy/pipeline/pipeline.py --config deploy/pipeline/config/infer_cfg_pphuman.yml -o MOT.enable=True MOT.model_dir=ppyoloe_infer/ --video_file=test_video.mp4 --device=gpu\n",
-    "\n",
+    "!wget -P demo_input -N https://paddledet.bj.bcebos.com/modelcenter/images/PP-Human/human_count.mp4\n",
+    "!python deploy/pipeline/pipeline.py --config deploy/pipeline/config/infer_cfg_pphuman.yml -o MOT.enable=True --video_file=demo_input/human_count.mp4 --device=gpu --output_dir=demo_output"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
     "# 例：行为识别，以摔倒识别为例，命令行中开启SKELETON_ACTION模型\n",
-    "!python deploy/pipeline/pipeline.py --config deploy/pipeline/config/infer_cfg_pphuman.yml -o SKELETON_ACTION.enbale=True --video_file=test_video.mp4 --device=gpu\n",
-    "\n",
-    "\n",
+    "!wget -P demo_input -N https://paddledet.bj.bcebos.com/modelcenter/images/PP-Human/human_falldown.mp4\n",
+    "!python deploy/pipeline/pipeline.py --config deploy/pipeline/config/infer_cfg_pphuman.yml -o SKELETON_ACTION.enable=True --video_file=demo_input/human_falldown.mp4 --device=gpu --output_dir=demo_output"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
     "#rtsp推拉流\n",
     "\n",
     "#对rtsp拉流的支持，使用--rtsp RTSP [RTSP ...]参数指定一路或者多路rtsp视频流，如果是多路地址中间用空格隔开。(或者video_file后面的视频地址直接更换为rtsp流地址)，示例如下：\n",
     "\n",
     "# 例：行人属性识别，单路视频流\n",
-    "!python deploy/pipeline/pipeline.py --config deploy/pipeline/config/examples/infer_cfg_human_attr.yml -o visual=False --rtsp rtsp://[YOUR_RTSP_SITE]  --device=gpu\n",
-    "\n",
+    "!python deploy/pipeline/pipeline.py --config deploy/pipeline/config/examples/infer_cfg_human_attr.yml -o visual=False --rtsp rtsp://[YOUR_RTSP_SITE]  --device=gpu"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
     "# 例：行人属性识别，多路视频流\n",
-    "!python deploy/pipeline/pipeline.py --config deploy/pipeline/config/examples/infer_cfg_human_attr.yml -o visual=False --rtsp rtsp://[YOUR_RTSP_SITE1]  rtsp://[YOUR_RTSP_SITE2] --device=gpu\n"
+    "!python deploy/pipeline/pipeline.py --config deploy/pipeline/config/examples/infer_cfg_human_attr.yml -o visual=False --rtsp rtsp://[YOUR_RTSP_SITE1]  rtsp://[YOUR_RTSP_SITE2] --device=gpu"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 视频结果推流rtsp\n",
+    "\n",
+    "# 预测结果进行rtsp推流，使用--pushurl rtsp:[IP] 推流到IP地址端，PC端可以使用[VLC播放器](https://vlc.onl/)打开网络流进行播放，播放地址为 `rtsp:[IP]/videoname`。其中`videoname`是预测的视频文件名，如果视频来源是本地摄像头则`videoname`默认为`output`.\n",
+    "\n",
+    "# 例：行人属性识别，单路视频流，该示例播放地址为 rtsp://[YOUR_SERVER_IP]:8554/test_video\n",
+    "!python deploy/pipeline/pipeline.py --config deploy/pipeline/config/examples/infer_cfg_human_attr.yml --video_file=test_video.mp4 --device=gpu --pushurl rtsp://[YOUR_SERVER_IP]:8554\n",
+    "\n",
+    "# 注：\n",
+    "# 1. rtsp推流服务基于 [rtsp-simple-server](https://github.com/aler9/rtsp-simple-server), 如使用推流功能请先开启该服务.\n",
+    "# 2. rtsp推流如果模型处理速度跟不上会出现很明显的卡顿现象，建议跟踪模型使用ppyoloe_s版本，即修改配置中跟踪模型mot_ppyoloe_l_36e_pipeline.zip替换为mot_ppyoloe_s_36e_pipeline.zip。"
    ]
   },
   {
@@ -262,7 +306,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3.8.13 ('paddle_env')",
    "language": "python",
    "name": "python3"
   },
@@ -276,7 +320,12 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.8.13"
+  },
+  "vscode": {
+   "interpreter": {
+    "hash": "864bc28e4d94d9c1c4bd0747e4313c0ab41718ab445ced17dbe1a405af5ecc64"
+   }
   }
  },
  "nbformat": 4,

modelcenter/PP-HumanV2/introduction_en.ipynb

@@ -57,20 +57,18 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# clone PaddleDetection\n",
+    "%mkdir -p ~/work\n",
     "%cd ~/work/\n",
     "!git clone https://github.com/PaddlePaddle/PaddleDetection.git\n",
     "\n",
     "# Other Dependencies\n",
     "%cd PaddleDetection\n",
-    "!pip install -r requirements.txt\n"
+    "%mkdir -p demo_input demo_output\n",
+    "!pip install -r requirements.txt"
    ]
   },
   {
@@ -97,11 +95,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "```\n",
@@ -136,28 +130,55 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "#Use the default configuration directly or the configuration file in examples, or modify the configuration in `infer_cfg_pphuman.yml`\n",
     "# Example: In pedestrian detection model, specify configuration file path and test image, and image input opens detection model by default\n",
-    "!python deploy/pipeline/pipeline.py --config deploy/pipeline/config/infer_cfg_pphuman.yml --image_file=test_image.jpg --device=gpu\n",
+    "!wget -P demo_input -N https://paddledet.bj.bcebos.com/modelcenter/images/PP-Human/human_attr.jpg \n",
+    "!python deploy/pipeline/pipeline.py --config deploy/pipeline/config/infer_cfg_pphuman.yml --image_file=demo_input/human_attr.jpg --device=gpu --output_dir=demo_output"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
     "# Example: In pedestrian attribute recognition, directly configure the examples\n",
-    "!python deploy/pipeline/pipeline.py --config deploy/pipeline/config/examples/infer_cfg_human_attr.yml --video_file=test_video.mp4 --device=gpu\n",
-    "   \n",
-    "\n",
+    "!wget -P demo_input -N https://paddledet.bj.bcebos.com/modelcenter/images/PP-Human/human_attr.mp4\n",
+    "!python deploy/pipeline/pipeline.py --config deploy/pipeline/config/examples/infer_cfg_human_attr.yml --video_file=demo_input/human_attr.mp4 --device=gpu --output_dir=demo_output"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
     "#Use the command line to enable functions or change the model path.\n",
     "# Example: Pedestrian tracking, specify config file path, model path and test video. The specified model path on the command line has a higher priority than the config file.\n",
-    "!python deploy/pipeline/pipeline.py --config deploy/pipeline/config/infer_cfg_pphuman.yml -o MOT.enable=True MOT.model_dir=ppyoloe_infer/ --video_file=test_video.mp4 --device=gpu\n",
-    "\n",
+    "!wget -P demo_input -N https://paddledet.bj.bcebos.com/modelcenter/images/PP-Human/human_count.mp4\n",
+    "!python deploy/pipeline/pipeline.py --config deploy/pipeline/config/infer_cfg_pphuman.yml -o MOT.enable=True --video_file=demo_input/human_count.mp4 --device=gpu --output_dir=demo_output"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
     "# Example: In behaviour recognition, with fall recognition as an example, enable the SKELETON_ACTION model on the command line\n",
-    "!python deploy/pipeline/pipeline.py --config deploy/pipeline/config/infer_cfg_pphuman.yml -o SKELETON_ACTION.enbale=True --video_file=test_video.mp4 --device=gpu\n",
-    "\n",
-    "\n",
+    "!wget -P demo_input -N https://paddledet.bj.bcebos.com/modelcenter/images/PP-Human/human_falldown.mp4\n",
+    "!python deploy/pipeline/pipeline.py --config deploy/pipeline/config/infer_cfg_pphuman.yml -o SKELETON_ACTION.enable=True --video_file=demo_input/human_falldown.mp4 --device=gpu --output_dir=demo_output"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
     "#rtsp push/pull stream\n",
     "#For rtsp pull stream, use `--rtsp RTSP [RTSP ...]` parameter to specify one or more rtsp streams. Separate the multiple addresses with a space, or replace the video address directly after the video_file with the rtsp stream address), examples as follows\n",
     "\n",
@@ -267,7 +288,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3.10.6 64-bit",
    "language": "python",
    "name": "python3"
   },
@@ -281,7 +302,12 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.9.6"
+  },
+  "vscode": {
+   "interpreter": {
+    "hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6"
+   }
   }
  },
  "nbformat": 4,

modelcenter/PP-PicoDet/APP/app.py

@@ -19,7 +19,7 @@ with gr.Blocks() as demo:
 
     with gr.Column(scale=1, min_width=100):
 
-        img_in = gr.Image(label="Input").style(height=200)
+        img_in = gr.Image(value="https://paddledet.bj.bcebos.com/modelcenter/images/General/000000014439.jpg",label="Input").style(height=200)
 
         with gr.Row():
             btn1 = gr.Button("Clear")

modelcenter/PP-PicoDet/info.yaml

@@ -4,7 +4,7 @@ Model_Info:
   description: "PP-PicoDet是轻量级系列模型，在移动端具有卓越的性能"
   description_en: "PP-PicoDet has a series of lightweight models, which are very suitable\
     \ for deployment on mobile or CPU"
-  icon: "@后续UE统一设计之后，会存到bos上某个位置"
+  icon: "https://paddledet.bj.bcebos.com/modelcenter/images/icons/icon_Picodet.png"
   from_repo: "PaddleDetection"
 Task:
 - tag_en: "Computer Vision"
@@ -19,7 +19,7 @@ Example:
   sub_tag: "路面危害检测"
   url: "https://aistudio.baidu.com/aistudio/projectdetail/3898651"
 Datasets: "COCO test-dev2017, COCO train2017, COCO val2017, Pascal VOC"
-Pulisher: "Baidu"
+Publisher: "Baidu"
 License: "apache.2.0"
 Paper:
 - title: "PP-PicoDet: A Better Real-Time Object Detector on Mobile Devices"

modelcenter/PP-PicoDet/introduction_cn.ipynb

@@ -39,16 +39,18 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
-    "%cd ~/work\n",
-    "!git clone https://gitee.com/paddlepaddle/PaddleDetection\n",
+    "\n",
+    "# 克隆PaddleDetection仓库\n",
+    "%mkdir -p ~/work\n",
+    "%cd ~/work/\n",
+    "!git clone https://github.com/PaddlePaddle/PaddleDetection.git\n",
+    "\n",
+    "# 安装其他依赖\n",
     "%cd PaddleDetection\n",
+    "%mkdir -p demo_input demo_output\n",
     "!pip install -r requirements.txt"
    ]
   },
@@ -63,16 +65,19 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# 单卡训练\n",
-    "!CUDA_VISIBLE_DEVICES=0 python tools/train.py -c configs/picodet/picodet_s_320_coco_lcnet.yml --eval\n",
-    "\n",
+    "!CUDA_VISIBLE_DEVICES=0 python tools/train.py -c configs/picodet/picodet_s_320_coco_lcnet.yml --eval"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
     "# 多卡训练\n",
     "!CUDA_VISIBLE_DEVICES=0,1,2,3 python -m paddle.distributed.launch --gpus 0,1,2,3 tools/train.py -c configs/picodet/picodet_s_320_coco_lcnet.yml --eval"
    ]
@@ -135,10 +140,29 @@
   }
  ],
  "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3.8.13 ('paddle_env')",
+   "language": "python",
+   "name": "python3"
+  },
   "language_info": {
-   "name": "python"
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.13"
   },
-  "orig_nbformat": 4
+  "orig_nbformat": 4,
+  "vscode": {
+   "interpreter": {
+    "hash": "864bc28e4d94d9c1c4bd0747e4313c0ab41718ab445ced17dbe1a405af5ecc64"
+   }
+  }
  },
  "nbformat": 4,
  "nbformat_minor": 2

modelcenter/PP-PicoDet/introduction_en.ipynb

@@ -38,16 +38,17 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
-    "%cd ~/work\n",
-    "!git clone https://gitee.com/paddlepaddle/PaddleDetection\n",
+    "# clone PaddleDetection\n",
+    "%mkdir -p ~/work\n",
+    "%cd ~/work/\n",
+    "!git clone https://github.com/PaddlePaddle/PaddleDetection.git\n",
+    "\n",
+    "# Other Dependencies\n",
     "%cd PaddleDetection\n",
+    "%mkdir -p demo_input demo_output\n",
     "!pip install -r requirements.txt"
    ]
   },
@@ -62,11 +63,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# training with single GPU\n",
@@ -134,10 +131,21 @@
   }
  ],
  "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3.10.6 64-bit",
+   "language": "python",
+   "name": "python3"
+  },
   "language_info": {
-   "name": "python"
+   "name": "python",
+   "version": "3.10.6"
   },
-  "orig_nbformat": 4
+  "orig_nbformat": 4,
+  "vscode": {
+   "interpreter": {
+    "hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6"
+   }
+  }
  },
  "nbformat": 4,
  "nbformat_minor": 2

modelcenter/PP-TInyPose/APP/output_inference/picodet_v2_s_320_pedestrian/infer_cfg.yml

-mode: paddle
-draw_threshold: 0.5
-metric: COCO
-use_dynamic_shape: false
-arch: GFL
-min_subgraph_size: 3
-Preprocess:
-- interp: 2
-  keep_ratio: false
-  target_size:
-  - 320
-  - 320
-  type: Resize
-- type: Permute
-label_list:
-- person
-- bicycle
-- car
-- motorcycle
-- airplane
-- 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
-- couch
-- potted plant
-- bed
-- dining table
-- toilet
-- tv
-- laptop
-- mouse
-- remote
-- keyboard
-- cell phone
-- microwave
-- oven
-- toaster
-- sink
-- refrigerator
-- book
-- clock
-- vase
-- scissors
-- teddy bear
-- hair drier
-- toothbrush
-NMS:
-  keep_top_k: 100
-  name: MultiClassNMS
-  nms_threshold: 0.5
-  nms_top_k: 1000
-  score_threshold: 0.3
-fpn_stride:
-- 8
-- 16
-- 32
-- 64

modelcenter/PP-TInyPose/APP/output_inference/tinypose_128x96/infer_cfg.yml

-mode: paddle
-draw_threshold: 0.5
-metric: KeyPointTopDownCOCOEval
-use_dynamic_shape: false
-arch: HRNet
-min_subgraph_size: 3
-Preprocess:
-- trainsize:
-  - 96
-  - 128
-  type: TopDownEvalAffine
-- is_scale: true
-  mean:
-  - 0.485
-  - 0.456
-  - 0.406
-  std:
-  - 0.229
-  - 0.224
-  - 0.225
-  type: NormalizeImage
-- type: Permute
-label_list:
-- keypoint

modelcenter/PP-TInyPose/APP/app.py → modelcenter/PP-TinyPose/APP/app.py

@@ -26,7 +26,7 @@ with gr.Blocks() as demo:
 
         with gr.TabItem("image"):
            
-            img_in =  gr.Image(label="Input")
+            img_in =  gr.Image(value="https://paddledet.bj.bcebos.com/modelcenter/images/PP-TinyPose/000000568213.jpg",label="Input")
             img_out = gr.Image(label="Output")
             img_json_out = gr.JSON(label="jsonOutput")
 
@@ -36,7 +36,7 @@ with gr.Blocks() as demo:
 
         with gr.TabItem("video"):
 
-            video_in = gr.Video(label="Input")
+            video_in = gr.Video(value="https://paddledet.bj.bcebos.com/modelcenter/images/PP-TinyPose/demo_PP-TinyPose.mp4",label="Input")
             video_out = gr.Video(label="Output")
             video_json_out = gr.JSON(label="jsonOutput")
 

modelcenter/PP-TInyPose/info.yaml → modelcenter/PP-TinyPose/info.yaml

@@ -3,7 +3,7 @@ Model_Info:
   name: "PP-TInyPose"
   description: "飞桨人体姿态估计"
   description_en: "test"
-  icon: "PaddlePaddle Estimation of human posture"
+  icon: "https://paddledet.bj.bcebos.com/modelcenter/images/icons/icon_PP-TinyPose.png"
   from_repo: "PaddleDetection"
 Task:
 - tag_en: "Computer Vision"
@@ -22,7 +22,7 @@ Example:
   sub_tag: "动作分类"
   url: "https://aistudio.baidu.com/aistudio/projectdetail/4385813"
 Datasets: "COCO train2017,AI Challenger trainset,COCO person keypoints val2017,COCO instances val2017"
-Pulisher: "Baidu"
+Publisher: "Baidu"
 License: "apache.2.0"
 IfTraining: 0
 IfOnlineDemo: 1

modelcenter/PP-TInyPose/introduction_cn.ipynb → modelcenter/PP-TinyPose/introduction_cn.ipynb

@@ -65,55 +65,18 @@
    },
    "outputs": [],
    "source": [
-    "%cd ~/work\n",
-    "# 克隆PaddleDetection（从gitee上更快）,本项目以做持久化处理，不用克隆了。\n",
-    "!git clone https://gitee.com/paddlepaddle/PaddleDetection"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "* 安装"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "scrolled": true,
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "# 运行脚本需在PaddleDetection目录下\n",
-    "%cd ~/work/PaddleDetection/\n",
+    "# 克隆PaddleDetection仓库\n",
+    "%mkdir -p ~/work\n",
+    "%cd ~/work/\n",
+    "!git clone https://github.com/PaddlePaddle/PaddleDetection.git\n",
     "\n",
-    "# 安装所需依赖项【已经做持久化处理，无需再安装】\n",
-    "!pip install pyzmq   \n",
+    "# 安装其他依赖\n",
+    "%cd PaddleDetection\n",
+    "%mkdir -p demo_input demo_output\n",
     "!pip install -r requirements.txt\n",
     "\n",
-    "# 运行脚本需在PaddleDetection目录下\n",
-    "%cd ~/work/PaddleDetection/\n",
-    "# 设置python运行目录\n",
-    "%env PYTHONPATH=.:$PYTHONPATH\n",
-    "# 设置GPU\n",
-    "%env CUDA_VISIBLE_DEVICES=0\n",
-    "\n",
-    "# 经简单测试，提前安装所需依赖，比直接使用setup.py更快\n",
-    "!pip install pycocotools  \n",
-    "!pip install cython-bbox      \n",
-    "!pip install xmltodict  \n",
-    "!pip install terminaltables    \n",
-    "!pip intall motmetrics  \n",
-    "!pip install lap    \n",
-    "!pip install shapely      \n",
-    "!pip install pytest-benchmark    \n",
-    "!pip install pytest    \n",
-    "\n",
-    "\n",
     "# 开始安装PaddleDetection \n",
-    "!python setup.py install  #如果安装过程中长时间卡住，可中断后继续重新执行，"
+    "!python setup.py install  #如果安装过程中长时间卡住，可中断后继续重新执行"
    ]
   },
   {
@@ -155,23 +118,45 @@
    "outputs": [],
    "source": [
     "# 下载模型\n",
-    "!mkdir output_inference\n",
+    "!mkdir -p output_inference\n",
     "%cd output_inference\n",
-    "# 下载行人检测模型\n",
+    "# 下载行人检测模型s\n",
     "!wget https://bj.bcebos.com/v1/paddledet/models/keypoint/tinypose_enhance/picodet_s_320_lcnet_pedestrian.zip\n",
     "!unzip picodet_s_320_lcnet_pedestrian.zip\n",
     "# 下载关键点检测模型\n",
     "!wget https://bj.bcebos.com/v1/paddledet/models/keypoint/tinypose_enhance/tinypose_128x96.zip\n",
-    "!unzip tinypose_128x96.zip\n",
-    "\n",
-    "%cd ~/work/PaddleDetection/\n",
+    "!unzip tinypose_128x96.zip"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%cd ~/work/PaddleDetection/"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
     "# 预测一张图片\n",
-    "!python3 deploy/python/det_keypoint_unite_infer.py --det_model_dir=output_inference/picodet_s_320_pedestrian --keypoint_model_dir=output_inference/tinypose_128x96 --image_file=demo/hrnet_demo.jpg --device=GPU\n",
-    "# 预测多张图片\n",
-    "!python3 deploy/python/det_keypoint_unite_infer.py --det_model_dir=output_inference/picodet_s_320_pedestrian --keypoint_model_dir=output_inference/tinypose_128x96 --image_dir=demo/ --device=GPU\n",
-    "\n",
+    "!wget -P demo_input -N https://paddledet.bj.bcebos.com/modelcenter/images/PP-TinyPose/000000568213.jpg\n",
+    "!python deploy/python/det_keypoint_unite_infer.py --det_model_dir=output_inference/picodet_v2_s_320_pedestrian --keypoint_model_dir=output_inference/tinypose_128x96 --image_file=demo_input/000000568213.jpg --device=GPU --output_dir=demo_output"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
     "# 预测一个视频\n",
-    "!python3 deploy/python/det_keypoint_unite_infer.py --det_model_dir=output_inference/picodet_s_320_pedestrian --keypoint_model_dir=output_inference/tinypose_128x96 --video_file={your video file} --device=GPU\n"
+    "!wget -P demo_input -N https://paddledet.bj.bcebos.com/modelcenter/images/PP-TinyPose/demo_PP-TinyPose.mp4\n",
+    "!python deploy/python/det_keypoint_unite_infer.py --det_model_dir=output_inference/picodet_v2_s_320_pedestrian --keypoint_model_dir=output_inference/tinypose_128x96 --video_file=demo_input/demo_PP-TinyPose.mp4 --device=GPU --output_dir=demo_output"
    ]
   },
   {
@@ -241,10 +226,17 @@
    "outputs": [],
    "source": [
     "# 关键点检测模型\n",
-    "!python3 -m paddle.distributed.launch tools/train.py -c configs/keypoint/tiny_pose/tinypose_128x96.yml\n",
-    "\n",
+    "!python -m paddle.distributed.launch tools/train.py -c configs/keypoint/tiny_pose/tinypose_128x96.yml"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
     "# 行人检测模型\n",
-    "!python3 -m paddle.distributed.launch tools/train.py -c configs/picodet/application/pedestrian_detection/picodet_s_320_lcnet_pedestrian.yml"
+    "!python -m paddle.distributed.launch tools/train.py -c configs/picodet/application/pedestrian_detection/picodet_s_320_lcnet_pedestrian.yml"
    ]
   },
   {
@@ -260,7 +252,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3.8.13 ('paddle_env')",
    "language": "python",
    "name": "python3"
   },
@@ -274,7 +266,12 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.8.13"
+  },
+  "vscode": {
+   "interpreter": {
+    "hash": "864bc28e4d94d9c1c4bd0747e4313c0ab41718ab445ced17dbe1a405af5ecc64"
+   }
   }
  },
  "nbformat": 4,

modelcenter/PP-TInyPose/introduction_en.ipynb → modelcenter/PP-TinyPose/introduction_en.ipynb

@@ -64,55 +64,16 @@
    },
    "outputs": [],
    "source": [
-    "%cd ~/work\n",
-    "# clone PaddleDetection。\n",
-    "!git clone https://gitee.com/paddlepaddle/PaddleDetection"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "* install"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "scrolled": true,
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "# \n",
-    "%cd ~/work/PaddleDetection/\n",
+    "# clone PaddleDetection\n",
+    "%mkdir -p ~/work\n",
+    "%cd ~/work/\n",
+    "!git clone https://github.com/PaddlePaddle/PaddleDetection.git\n",
     "\n",
-    "# \n",
-    "!pip install pyzmq   \n",
+    "# Other Dependencies\n",
+    "%cd PaddleDetection\n",
+    "%mkdir -p demo_input demo_output\n",
     "!pip install -r requirements.txt\n",
-    "\n",
-    "#\n",
-    "%cd ~/work/PaddleDetection/\n",
-    "# \n",
-    "%env PYTHONPATH=.:$PYTHONPATH\n",
-    "# set GPU\n",
-    "%env CUDA_VISIBLE_DEVICES=0\n",
-    "\n",
-    "# \n",
-    "!pip install pycocotools  \n",
-    "!pip install cython-bbox      \n",
-    "!pip install xmltodict  \n",
-    "!pip install terminaltables    \n",
-    "!pip intall motmetrics  \n",
-    "!pip install lap    \n",
-    "!pip install shapely      \n",
-    "!pip install pytest-benchmark    \n",
-    "!pip install pytest    \n",
-    "\n",
-    "\n",
-    "# PaddleDetection \n",
-    "!python setup.py install  "
+    "!python setup.py install"
    ]
   },
   {
@@ -130,7 +91,6 @@
    },
    "outputs": [],
    "source": [
-    "\n",
     "!python ppdet/modeling/tests/test_architectures.py"
    ]
   },
@@ -146,30 +106,49 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "scrolled": true,
-    "tags": []
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Download model\n",
-    "!mkdir output_inference\n",
+    "!mkdir -p output_inference\n",
     "%cd output_inference\n",
     "# Download pedestrian detection model\n",
     "!wget https://bj.bcebos.com/v1/paddledet/models/keypoint/tinypose_enhance/picodet_s_320_lcnet_pedestrian.zip\n",
     "!unzip picodet_s_320_lcnet_pedestrian.zip\n",
     "# Download key point detection model\n",
     "!wget https://bj.bcebos.com/v1/paddledet/models/keypoint/tinypose_enhance/tinypose_128x96.zip\n",
-    "!unzip tinypose_128x96.zip\n",
-    "\n",
-    "%cd ~/work/PaddleDetection/\n",
+    "!unzip tinypose_128x96.zip"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%cd ~/work/PaddleDetection/"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
     "# Predict a image\n",
-    "!python3 deploy/python/det_keypoint_unite_infer.py --det_model_dir=output_inference/picodet_s_320_pedestrian --keypoint_model_dir=output_inference/tinypose_128x96 --image_file=demo/hrnet_demo.jpg --device=GPU\n",
-    "# predict multiple images\n",
-    "!python3 deploy/python/det_keypoint_unite_infer.py --det_model_dir=output_inference/picodet_s_320_pedestrian --keypoint_model_dir=output_inference/tinypose_128x96 --image_dir=demo/ --device=GPU\n",
-    "\n",
+    "!wget -P demo_input -N https://paddledet.bj.bcebos.com/modelcenter/images/PP-TinyPose/000000568213.jpg\n",
+    "!python deploy/python/det_keypoint_unite_infer.py --det_model_dir=output_inference/picodet_v2_s_320_pedestrian --keypoint_model_dir=output_inference/tinypose_128x96 --image_file=demo_input/000000568213.jpg --device=GPU --output_dir=demo_output"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
     "# predict video\n",
-    "!python3 deploy/python/det_keypoint_unite_infer.py --det_model_dir=output_inference/picodet_s_320_pedestrian --keypoint_model_dir=output_inference/tinypose_128x96 --video_file={your video file} --device=GPU\n"
+    "!wget -P demo_input -N https://paddledet.bj.bcebos.com/modelcenter/images/PP-TinyPose/demo_PP-TinyPose.mp4\n",
+    "!python deploy/python/det_keypoint_unite_infer.py --det_model_dir=output_inference/picodet_v2_s_320_pedestrian --keypoint_model_dir=output_inference/tinypose_128x96 --video_file=demo_input/demo_PP-TinyPose.mp4 --device=GPU --output_dir=demo_output"
    ]
   },
   {
@@ -259,7 +238,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3.10.6 64-bit",
    "language": "python",
    "name": "python3"
   },
@@ -273,7 +252,12 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.10.6"
+  },
+  "vscode": {
+   "interpreter": {
+    "hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6"
+   }
   }
  },
  "nbformat": 4,

modelcenter/PP-Vehicle/APP/app.py

@@ -26,7 +26,7 @@ with gr.Blocks() as demo:
 
         with gr.TabItem("image"):
 
-            img_in = gr.Image(label="Input")
+            img_in = gr.Image(value="https://paddledet.bj.bcebos.com/modelcenter/images/PP-Vehicle/demo_vehicle.jpg",label="Input")
             img_out = gr.Image(label="Output")
 
             img_avtivity_list = gr.CheckboxGroup(
@@ -36,7 +36,7 @@ with gr.Blocks() as demo:
 
         with gr.TabItem("video"):
 
-            video_in = gr.Video(label="Input")
+            video_in = gr.Video(value="https://paddledet.bj.bcebos.com/modelcenter/images/PP-Vehicle/demo_vehicle.mp4",label="Input")
             video_out = gr.Video(label="Output")
 
             video_avtivity_list = gr.CheckboxGroup(

modelcenter/PP-Vehicle/info.yaml

@@ -3,7 +3,7 @@ Model_Info:
   name: "PP-Vehicle"
   description: "飞桨车辆场景分析工具"
   description_en: "PaddlePaddle Vehicle Scene Analysis Tool"
-  icon: ""
+  icon: "https://paddledet.bj.bcebos.com/modelcenter/images/icons/icon_PP-Vehicle.png"
   from_repo: "PaddleDetection"
 Task:
 - tag_en: "Computer Vision"
@@ -22,7 +22,7 @@ Example:
   sub_tag: "车辆检测"
   url: "https://aistudio.baidu.com/aistudio/projectdetail/4228391"
 Datasets: "BDD-100k"
-Pulisher: "Baidu"
+Publisher: "Baidu"
 License: "apache.2.0"
 IfTraining: 0
 IfOnlineDemo: 1

modelcenter/PP-Vehicle/introduction_cn.ipynb

@@ -53,20 +53,19 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
+    "\n",
     "# 克隆PaddleDetection仓库\n",
-    "%cd ~/work\n",
+    "%mkdir -p ~/work\n",
+    "%cd ~/work/\n",
     "!git clone https://github.com/PaddlePaddle/PaddleDetection.git\n",
     "\n",
     "# 安装其他依赖\n",
     "%cd PaddleDetection\n",
-    "!pip install -r requirements.txt\n"
+    "%mkdir -p demo_input demo_output\n",
+    "!pip install -r requirements.txt"
    ]
   },
   {
@@ -94,11 +93,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "\n",
@@ -137,35 +132,62 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# 1. 直接使用默认配置或者examples中配置文件，或者直接在`infer_cfg_ppvehicle.yml`中修改配置：\n",
     "# 例：车辆检测，指定配置文件路径和测试图片\n",
-    "!python deploy/pipeline/pipeline.py --config deploy/pipeline/config/infer_cfg_ppvehicle.yml --image_file=test_image.jpg --device=gpu\n",
-    "\n",
+    "!wget -P demo_input -N https://paddledet.bj.bcebos.com/modelcenter/images/PP-Vehicle/demo_vehicle.jpg \n",
+    "!python deploy/pipeline/pipeline.py --config deploy/pipeline/config/infer_cfg_ppvehicle.yml --image_file=demo_input/demo_vehicle.jpg --device=gpu --output_dir=demo_output"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
     "# 例：车辆车牌识别，指定配置文件路径和测试视频\n",
-    "!python deploy/pipeline/pipeline.py --config deploy/pipeline/config/examples/infer_cfg_vehicle_plate.yml --video_file=test_video.mp4 --device=gpu\n",
-    "\n",
-    "\n",
+    "!wget -P demo_input -N https://paddledet.bj.bcebos.com/modelcenter/images/PP-Vehicle/demo_vehicle.mp4 \n",
+    "!python deploy/pipeline/pipeline.py --config deploy/pipeline/config/examples/infer_cfg_vehicle_plate.yml --video_file=demo_input/demo_vehicle.mp4 --device=gpu --output_dir=demo_output/vehicle_plate"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
     "#2. 使用命令行进行功能开启，或者模型路径修改：\n",
     "# 例：车辆跟踪，指定配置文件路径和测试视频，命令行中开启MOT模型并修改模型路径，命令行中指定的模型路径优先级高于配置文件\n",
-    "!python deploy/pipeline/pipeline.py --config deploy/pipeline/config/infer_cfg_ppvehicle.yml -o MOT.enable=True MOT.model_dir=ppyoloe_infer/ --video_file=test_video.mp4 --device=gpu\n",
-    "\n",
+    "!wget -P demo_input -N https://paddledet.bj.bcebos.com/modelcenter/images/PP-Vehicle/demo_vehicle.mp4\n",
+    "!python deploy/pipeline/pipeline.py --config deploy/pipeline/config/infer_cfg_ppvehicle.yml -o MOT.enable=True --video_file=demo_input/demo_vehicle.mp4 --device=gpu --output_dir=demo_output/vehicle_tracking"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
     "# 例：车辆违章分析，指定配置文件和测试视频，命令行中指定违停区域设置、违停时间判断。\n",
+    "!wget -P demo_input -N https://paddledet.bj.bcebos.com/modelcenter/images/PP-Vehicle/demo_vehicle.mp4\n",
     "!python deploy/pipeline/pipeline.py --config deploy/pipeline/config/examples/infer_cfg_illegal_parking.yml \\\n",
-    "                                                   --video_file=../car_test.mov \\\n",
+    "                                                   --video_file=demo_input/demo_vehicle.mp4 \\\n",
     "                                                   --device=gpu \\\n",
     "                                                   --draw_center_traj \\\n",
     "                                                   --illegal_parking_time=3 \\\n",
     "                                                   --region_type=custom \\\n",
-    "                                                   --region_polygon 600 300 1300 300 1300 800 600 800\n",
-    "\n",
-    "\n",
+    "                                                   --region_polygon 600 300 1300 300 1300 800 600 800 \\\n",
+    "                                                   --output_dir=demo_output/vehicle_illgal"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
     "#3. rtsp推拉流\n",
     "\n",
     "#对rtsp拉流的支持，使用--rtsp RTSP [RTSP ...]参数指定一路或者多路rtsp视频流，如果是多路地址中间用空格隔开。(或者video_file后面的视频地址直接更换为rtsp流地址)，示例如下：\n",
@@ -267,7 +289,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3.8.13 ('paddle_env')",
    "language": "python",
    "name": "python3"
   },
@@ -281,7 +303,12 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.8.13"
+  },
+  "vscode": {
+   "interpreter": {
+    "hash": "864bc28e4d94d9c1c4bd0747e4313c0ab41718ab445ced17dbe1a405af5ecc64"
+   }
   }
  },
  "nbformat": 4,

modelcenter/PP-Vehicle/introduction_en.ipynb

@@ -52,20 +52,18 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# clone PaddleDetection\n",
-    "%cd ~/work\n",
+    "%mkdir -p ~/work\n",
+    "%cd ~/work/\n",
     "!git clone https://github.com/PaddlePaddle/PaddleDetection.git\n",
     "\n",
     "# Other Dependencies\n",
     "%cd PaddleDetection\n",
-    "!pip install -r requirements.txt\n"
+    "%mkdir -p demo_input demo_output\n",
+    "!pip install -r requirements.txt"
    ]
   },
   {
@@ -92,11 +90,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "\n",
@@ -135,34 +129,41 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# 1. Use the default configuration directly or the configuration file in examples, or modify the configuration in `infer_cfg_ppvehicle.yml`\n",
     "# Example：In vehicle detection，specify configuration file path and test image\n",
-    "!python deploy/pipeline/pipeline.py --config deploy/pipeline/config/infer_cfg_ppvehicle.yml --image_file=test_image.jpg --device=gpu\n",
+    "!wget -P demo_input -N https://paddledet.bj.bcebos.com/modelcenter/images/PP-Vehicle/demo_vehicle.jpg \n",
+    "!python deploy/pipeline/pipeline.py --config deploy/pipeline/config/infer_cfg_ppvehicle.yml --image_file=demo_input/demo_vehicle.jpg --device=gpu --output_dir=demo_output\n",
     "\n",
     "# Example：In license plate recognition，directly configure the examples\n",
-    "!python deploy/pipeline/pipeline.py --config deploy/pipeline/config/examples/infer_cfg_vehicle_plate.yml --video_file=test_video.mp4 --device=gpu\n",
-    "\n",
+    "!wget -P demo_input -N https://paddledet.bj.bcebos.com/modelcenter/images/PP-Vehicle/demo_vehicle.mp4 \n",
+    "!python deploy/pipeline/pipeline.py --config deploy/pipeline/config/examples/infer_cfg_vehicle_plate.yml --video_file=demo_input/demo_vehicle.mp4 --device=gpu --output_dir=demo_output/vehicle_plate\n",
     "\n",
     "#2.Use the command line to enable functions or change the model path.\n",
     "# Example：In vehicle tracking，specify configuration file path and test video, Turn on the MOT model and modify the model path on the command line, the model path specified on the command line has higher priority than the configuration file\n",
-    "!python deploy/pipeline/pipeline.py --config deploy/pipeline/config/infer_cfg_ppvehicle.yml -o MOT.enable=True MOT.model_dir=ppyoloe_infer/ --video_file=test_video.mp4 --device=gpu\n",
+    "!wget -P demo_input -N https://paddledet.bj.bcebos.com/modelcenter/images/PP-Vehicle/demo_vehicle.mp4\n",
+    "!python deploy/pipeline/pipeline.py --config deploy/pipeline/config/infer_cfg_ppvehicle.yml -o MOT.enable=True --video_file=demo_input/demo_vehicle.mp4 --device=gpu --output_dir=demo_output/vehicle_tracking\n",
     "\n",
     "# Example：In vehicle illegal action analysis，specify configuration file path and test video,Setting of designated violation area and judgment of violation time in the command line\n",
+    "!wget -P demo_input -N https://paddledet.bj.bcebos.com/modelcenter/images/PP-Vehicle/demo_vehicle.mp4\n",
     "!python deploy/pipeline/pipeline.py --config deploy/pipeline/config/examples/infer_cfg_illegal_parking.yml \\\n",
-    "                                                   --video_file=../car_test.mov \\\n",
+    "                                                   --video_file=demo_input/demo_vehicle.mp4 \\\n",
     "                                                   --device=gpu \\\n",
     "                                                   --draw_center_traj \\\n",
     "                                                   --illegal_parking_time=3 \\\n",
     "                                                   --region_type=custom \\\n",
-    "                                                   --region_polygon 600 300 1300 300 1300 800 600 800\n",
-    "\n",
+    "                                                   --region_polygon 600 300 1300 300 1300 800 600 800 \\\n",
+    "                                                   --output_dir=demo_output/vehicle_illgal\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
     "#3. rtsp push/pull stream\n",
     "#For rtsp pull stream, use --rtsp RTSP [RTSP ...] parameter to specify one or more rtsp streams. Separate the multiple addresses with a space, or replace the video address directly after the video_file with the rtsp stream address), examples as follows\n",
     "\n",
@@ -180,7 +181,7 @@
     "\n",
     "#Note: \n",
     "#1. rtsp push stream is based on [rtsp-simple-server](https://github.com/aler9/rtsp-simple-server), please enable this serving first.\n",
-    "#2. the output visualize will be frozen frequently if the model cost too much time, we suggest to use faster model like ppyoloe_s in tracking, this is simply replace mot_ppyoloe_l_36e_pipeline.zip with mot_ppyoloe_s_36e_pipeline.zip in model config yaml file.\n"
+    "#2. the output visualize will be frozen frequently if the model cost too much time, we suggest to use faster model like ppyoloe_s in tracking, this is simply replace mot_ppyoloe_l_36e_pipeline.zip with mot_ppyoloe_s_36e_pipeline.zip in model config yaml file."
    ]
   },
   {
@@ -262,7 +263,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3.10.6 64-bit",
    "language": "python",
    "name": "python3"
   },
@@ -276,7 +277,12 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.10.6"
+  },
+  "vscode": {
+   "interpreter": {
+    "hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6"
+   }
   }
  },
  "nbformat": 4,

modelcenter/PP-YOLO/APP/app.py

@@ -19,7 +19,7 @@ with gr.Blocks() as demo:
 
     with gr.Column(scale=1, min_width=100):
 
-        img_in = gr.Image(label="Input").style(height=200)
+        img_in = gr.Image(value="https://paddledet.bj.bcebos.com/modelcenter/images/General/000000014439.jpg",label="Input").style(height=200)
 
         with gr.Row():
             btn1 = gr.Button("Clear")

modelcenter/PP-YOLO/info.yaml

@@ -3,7 +3,7 @@ Model_Info:
   name: "PP-YOLO"
   description: "PP-YOLO是PaddleDetection优化和改进的YOLOv3的模型"
   description_en: "PP-YOLO is a optimized model based on YOLOv3 in PaddleDetection"
-  icon: "@后续UE统一设计之后，会存到bos上某个位置"
+  icon: "https://paddledet.bj.bcebos.com/modelcenter/images/icons/icon_PP-YOLO.png"
   from_repo: "PaddleDetection"
 Task:
 - tag_en: "Computer Vision"
@@ -18,7 +18,7 @@ Example:
   sub_tag: "表计读数"
   url: "https://aistudio.baidu.com/aistudio/projectdetail/3975848?contributionType=1"
 Datasets: "COCO test-dev2017, COCO train2017, COCO val2017, Pascal VOC"
-Pulisher: "Baidu"
+Publisher: "Baidu"
 License: "apache.2.0"
 Paper:
 - title: "PP-YOLO: An Effective and Efficient Implementation of Object Detector"

modelcenter/PP-YOLO/introduction_cn.ipynb

@@ -31,16 +31,17 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
-    "%cd ~/work\n",
-    "!git clone https://gitee.com/paddlepaddle/PaddleDetection\n",
+    "# 克隆PaddleDetection仓库\n",
+    "%mkdir -p ~/work\n",
+    "%cd ~/work/\n",
+    "!git clone https://github.com/PaddlePaddle/PaddleDetection.git\n",
+    "\n",
+    "# 安装其他依赖\n",
     "%cd PaddleDetection\n",
+    "%mkdir -p demo_input demo_output\n",
     "!pip install -r requirements.txt"
    ]
   },
@@ -55,11 +56,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "!python -m paddle.distributed.launch --log_dir=./ppyolo_dygraph/ --gpus 0,1,2,3,4,5,6,7 tools/train.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml"
@@ -76,18 +73,15 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# 导出模型，默认存储于output/ppyolo目录\n",
     "!python tools/export_model.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml -o weights=https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams\n",
     "\n",
     "# 预测库推理\n",
-    "!CUDA_VISIBLE_DEVICES=0 python deploy/python/infer.py --model_dir=output_inference/ppyolo_r50vd_dcn_1x_coco --image_file=demo/000000014439_640x640.jpg --device=GPU"
+    "!wget -P demo_input -N https://paddledet.bj.bcebos.com/modelcenter/images/General/000000014439.jpg\n",
+    "!CUDA_VISIBLE_DEVICES=0 python deploy/python/infer.py --model_dir=output_inference/ppyolo_r50vd_dcn_1x_coco --image_file=demo_input/000000014439.jpg --device=GPU --output_dir=demo_output"
    ]
   },
   {
@@ -142,10 +136,29 @@
   }
  ],
  "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3.10.6 64-bit",
+   "language": "python",
+   "name": "python3"
+  },
   "language_info": {
-   "name": "python"
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.6"
   },
-  "orig_nbformat": 4
+  "orig_nbformat": 4,
+  "vscode": {
+   "interpreter": {
+    "hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6"
+   }
+  }
  },
  "nbformat": 4,
  "nbformat_minor": 2

modelcenter/PP-YOLO/introduction_en.ipynb

@@ -31,16 +31,15 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
-    "%cd ~/work\n",
-    "!git clone https://gitee.com/paddlepaddle/PaddleDetection\n",
+    "%mkdir -p ~/work\n",
+    "%cd ~/work/\n",
+    "!git clone https://github.com/PaddlePaddle/PaddleDetection.git\n",
+    "\n",
     "%cd PaddleDetection\n",
+    "%mkdir -p demo_input demo_output\n",
     "!pip install -r requirements.txt"
    ]
   },
@@ -55,11 +54,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "!python -m paddle.distributed.launch --log_dir=./ppyolo_dygraph/ --gpus 0,1,2,3,4,5,6,7 tools/train.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml"
@@ -76,18 +71,15 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# export model, model will be save in output/ppyolo as default\n",
-    "python tools/export_model.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml -o weights=https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams\n",
+    "!wget -P demo_input -N https://paddledet.bj.bcebos.com/modelcenter/images/General/000000014439.jpg\n",
+    "!python tools/export_model.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml -o weights=https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams\n",
     "\n",
     "# inference with Paddle Inference library\n",
-    "CUDA_VISIBLE_DEVICES=0 python deploy/python/infer.py --model_dir=output_inference/ppyolo_r50vd_dcn_1x_coco --image_file=demo/000000014439_640x640.jpg --device=GPU"
+    "!CUDA_VISIBLE_DEVICES=0 python deploy/python/infer.py --model_dir=output_inference/ppyolo_r50vd_dcn_1x_coco --image_file=demo_input/000000014439.jpg --device=GPU --output_dir=demo_output"
    ]
   },
   {
@@ -142,10 +134,29 @@
   }
  ],
  "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3.8.13 ('paddle_env')",
+   "language": "python",
+   "name": "python3"
+  },
   "language_info": {
-   "name": "python"
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.13"
   },
-  "orig_nbformat": 4
+  "orig_nbformat": 4,
+  "vscode": {
+   "interpreter": {
+    "hash": "864bc28e4d94d9c1c4bd0747e4313c0ab41718ab445ced17dbe1a405af5ecc64"
+   }
+  }
  },
  "nbformat": 4,
  "nbformat_minor": 2

modelcenter/PP-YOLOE+/APP/app.py

@@ -19,7 +19,7 @@ with gr.Blocks() as demo:
 
     with gr.Column(scale=1, min_width=100):
 
-        img_in = gr.Image(label="Input").style(height=200)
+        img_in = gr.Image(value="https://paddledet.bj.bcebos.com/modelcenter/images/General/000000014439.jpg",label="Input").style(height=200)
 
         with gr.Row():
             btn1 = gr.Button("Clear")

modelcenter/PP-YOLOE+/info.yaml

@@ -3,7 +3,7 @@ Model_Info:
   name: "PP-YOLOE+"
   description: "PP-YOLOE+是PP-YOLOE的升级版"
   description_en: "PP-YOLOE+ is an upgraded version of PP-YOLOE"
-  icon: "@后续UE统一设计之后，会存到bos上某个位置"
+  icon: "https://paddledet.bj.bcebos.com/modelcenter/images/icons/icon_PP-YOLOE%2B.png"
   from_repo: "PaddleDetection"
 Task:
 - tag_en: "Computer Vision"
@@ -18,7 +18,7 @@ Example:
   sub_tag: "目标检测"
   url: "https://aistudio.baidu.com/aistudio/projectdetail/4228391"
 Datasets: "COCO test-dev2017, COCO train2017, COCO val2017, Pascal VOC"
-Pulisher: "Baidu"
+Publisher: "Baidu"
 License: "apache.2.0"
 Paper:
 - title: "PP-YOLOE: An evolved version of YOLO"

modelcenter/PP-YOLOE+/introduction_cn.ipynb

@@ -30,16 +30,17 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
-    "%cd ~/work\n",
-    "!git clone https://gitee.com/paddlepaddle/PaddleDetection\n",
+    "# 克隆PaddleDetection仓库\n",
+    "%mkdir -p ~/work\n",
+    "%cd ~/work/\n",
+    "!git clone https://github.com/PaddlePaddle/PaddleDetection.git\n",
+    "\n",
+    "# 安装其他依赖\n",
     "%cd PaddleDetection\n",
+    "%mkdir -p demo_input demo_output\n",
     "!pip install -r requirements.txt"
    ]
   },
@@ -54,11 +55,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# 单卡训练\n",
@@ -93,11 +90,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "!python tools/export_model.py -c configs/ppyoloe/ppyoloe_plus_crn_l_80e_coco.yml -o weights=https://paddledet.bj.bcebos.com/models/ppyoloe_plus_crn_l_80e_coco.pdparams trt=True"
@@ -113,18 +106,12 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# 推理单张图片\n",
-    "!CUDA_VISIBLE_DEVICES=0 python deploy/python/infer.py --model_dir=output_inference/ppyoloe_plus_crn_l_80e_coco --image_file=demo/000000014439_640x640.jpg --device=gpu --run_mode=trt_fp16\n",
-    "\n",
-    "# 推理文件夹下的所有图片\n",
-    "!CUDA_VISIBLE_DEVICES=0 python deploy/python/infer.py --model_dir=output_inference/ppyoloe_plus_crn_l_80e_coco --image_dir=demo/ --device=gpu  --run_mode=trt_fp16"
+    "!wget -P demo_input -N https://paddledet.bj.bcebos.com/modelcenter/images/General/000000014439.jpg\n",
+    "!CUDA_VISIBLE_DEVICES=0 python deploy/python/infer.py --model_dir=output_inference/ppyoloe_plus_crn_l_80e_coco --image_file=demo_input/000000014439.jpg --device=gpu --run_mode=trt_fp16 --output_dir=demo_output"
    ]
   },
   {
@@ -147,11 +134,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "!python tools/export_model.py -c configs/ppyoloe/ppyoloe_plus_crn_l_80e_coco.yml -o weights=https://paddledet.bj.bcebos.com/models/ppyoloe_plus_crn_l_80e_coco.pdparams"
@@ -167,53 +150,11 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "# 推理单张图片\n",
-    "!CUDA_VISIBLE_DEVICES=0 python deploy/python/infer.py --model_dir=output_inference/ppyoloe_plus_crn_l_80e_coco --image_file=demo/000000014439_640x640.jpg --device=gpu --run_mode=paddle\n",
-    "\n",
-    "# 推理文件夹下的所有图片\n",
-    "!CUDA_VISIBLE_DEVICES=0 python deploy/python/infer.py --model_dir=output_inference/ppyoloe_plus_crn_l_80e_coco --image_dir=demo/ --device=gpu  --run_mode=paddle"
-   ]
-  },
-  {
-   "cell_type": "markdown",
    "metadata": {},
-   "source": [
-    "#### 3.2.3 使用ONNX-TensorRT进行速度测试\n",
-    "**使用 ONNX 和 TensorRT** 进行测速，执行以下命令："
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
    "outputs": [],
    "source": [
-    "# 导出模型\n",
-    "!python tools/export_model.py -c configs/ppyoloe/ppyoloe_plus_crn_s_80e_coco.yml -o weights=https://paddledet.bj.bcebos.com/models/ppyoloe_plus_crn_s_80e_coco.pdparams exclude_nms=True trt=True\n",
-    "\n",
-    "# 转化成ONNX格式\n",
-    "!paddle2onnx --model_dir output_inference/ppyoloe_plus_crn_s_80e_coco --model_filename model.pdmodel --params_filename model.pdiparams --opset_version 12 --save_file ppyoloe_plus_crn_s_80e_coco.onnx\n",
-    "\n",
-    "# 测试速度，半精度，batch_size=1\n",
-    "!trtexec --onnx=./ppyoloe_plus_crn_s_80e_coco.onnx --saveEngine=./ppyoloe_s_bs1.engine --workspace=1024 --avgRuns=1000 --shapes=image:1x3x640x640,scale_factor:1x2 --fp16\n",
-    "\n",
-    "# 测试速度，半精度，batch_size=32\n",
-    "!trtexec --onnx=./ppyoloe_plus_crn_s_80e_coco.onnx --saveEngine=./ppyoloe_s_bs32.engine --workspace=1024 --avgRuns=1000 --shapes=image:32x3x640x640,scale_factor:32x2 --fp16\n",
-    "\n",
-    "# 使用上边的脚本, 在T4 和 TensorRT 7.2的环境下，PPYOLOE-plus-s模型速度如下\n",
-    "# batch_size=1, 2.80ms, 357fps\n",
-    "# batch_size=32, 67.69ms, 472fps"
+    "# 推理单张图片\n",
+    "!CUDA_VISIBLE_DEVICES=0 python deploy/python/infer.py --model_dir=output_inference/ppyoloe_plus_crn_l_80e_coco --image_file=demo_input/000000014439.jpg --device=gpu --run_mode=paddle --output_dir=demo_output\n"
    ]
   },
   {
@@ -252,10 +193,29 @@
   }
  ],
  "metadata": {
-  "language_info": {
-   "name": "python"
+  "kernelspec": {
+   "display_name": "Python 3.8.13 ('paddle_env')",
+   "language": "python",
+   "name": "python3"
   },
-  "orig_nbformat": 4
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.13"
+  },
+  "orig_nbformat": 4,
+  "vscode": {
+   "interpreter": {
+    "hash": "864bc28e4d94d9c1c4bd0747e4313c0ab41718ab445ced17dbe1a405af5ecc64"
+   }
+  }
  },
  "nbformat": 4,
  "nbformat_minor": 2

modelcenter/PP-YOLOE+/introduction_en.ipynb

@@ -30,16 +30,15 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
-    "%cd ~/work\n",
-    "!git clone https://gitee.com/paddlepaddle/PaddleDetection\n",
+    "%mkdir -p ~/work\n",
+    "%cd ~/work/\n",
+    "!git clone https://github.com/PaddlePaddle/PaddleDetection.git\n",
+    "\n",
     "%cd PaddleDetection\n",
+    "%mkdir -p demo_input demo_output\n",
     "!pip install -r requirements.txt"
    ]
   },
@@ -54,11 +53,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# training with single GPU\n",
@@ -93,11 +88,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "!python tools/export_model.py -c configs/ppyoloe/ppyoloe_plus_crn_l_80e_coco.yml -o weights=https://paddledet.bj.bcebos.com/models/ppyoloe_plus_crn_l_80e_coco.pdparams trt=True"
@@ -113,18 +104,12 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# inference single image\n",
-    "!CUDA_VISIBLE_DEVICES=0 python deploy/python/infer.py --model_dir=output_inference/ppyoloe_plus_crn_l_80e_coco --image_file=demo/000000014439_640x640.jpg --device=gpu --run_mode=trt_fp16\n",
-    "\n",
-    "# inference all images in the directory\n",
-    "!CUDA_VISIBLE_DEVICES=0 python deploy/python/infer.py --model_dir=output_inference/ppyoloe_plus_crn_l_80e_coco --image_dir=demo/ --device=gpu  --run_mode=trt_fp16"
+    "!wget -P demo_input -N https://paddledet.bj.bcebos.com/modelcenter/images/General/000000014439.jpg\n",
+    "!CUDA_VISIBLE_DEVICES=0 python deploy/python/infer.py --model_dir=output_inference/ppyoloe_plus_crn_l_80e_coco --image_file=demo_input/000000014439.jpg --device=gpu --run_mode=trt_fp16 --output_dir=demo_output"
    ]
   },
   {
@@ -147,25 +132,19 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "!python tools/export_model.py -c configs/ppyoloe/ppyoloe_plus_crn_l_80e_coco.yml -o weights=https://paddledet.bj.bcebos.com/models/ppyoloe_plus_crn_l_80e_coco.pdparams"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
+   "cell_type": "markdown",
    "metadata": {
     "vscode": {
      "languageId": "plaintext"
     }
    },
-   "outputs": [],
    "source": [
     "Inference with PaddleInference directly."
    ]
@@ -173,54 +152,11 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "# inference single image\n",
-    "!CUDA_VISIBLE_DEVICES=0 python deploy/python/infer.py --model_dir=output_inference/ppyoloe_plus_crn_l_80e_coco --image_file=demo/000000014439_640x640.jpg --device=gpu --run_mode=paddle\n",
-    "\n",
-    "# inference all images in the directory\n",
-    "!CUDA_VISIBLE_DEVICES=0 python deploy/python/infer.py --model_dir=output_inference/ppyoloe_plus_crn_l_80e_coco --image_dir=demo/ --device=gpu  --run_mode=paddle"
-   ]
-  },
-  {
-   "cell_type": "markdown",
    "metadata": {},
-   "source": [
-    "#### 3.2.3 Speed testing with ONNX-TensorRT\n",
-    "**Using TensorRT Inference with ONNX** to test speed, run following command"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
    "outputs": [],
    "source": [
-    "# export inference model with trt=True\n",
-    "!python tools/export_model.py -c configs/ppyoloe/ppyoloe_plus_crn_s_80e_coco.yml -o weights=https://paddledet.bj.bcebos.com/models/ppyoloe_plus_crn_s_80e_coco.pdparams exclude_nms=True trt=True\n",
-    "\n",
-    "# convert to onnx\n",
-    "!paddle2onnx --model_dir output_inference/ppyoloe_plus_crn_s_80e_coco --model_filename model.pdmodel --params_filename model.pdiparams --opset_version 12 --save_file ppyoloe_plus_crn_s_80e_coco.onnx\n",
-    "\n",
-    "# trt inference using fp16 and batch_size=1\n",
-    "!trtexec --onnx=./ppyoloe_plus_crn_s_80e_coco.onnx --saveEngine=./ppyoloe_s_bs1.engine --workspace=1024 --avgRuns=1000 --shapes=image:1x3x640x640,scale_factor:1x2 --fp16\n",
-    "\n",
-    "# trt inference using fp16 and batch_size=32\n",
-    "!trtexec --onnx=./ppyoloe_plus_crn_s_80e_coco.onnx --saveEngine=./ppyoloe_s_bs32.engine --workspace=1024 --avgRuns=1000 --shapes=image:32x3x640x640,scale_factor:32x2 --fp16\n",
-    "\n",
-    "# Using the above script, T4 and tensorrt 7.2 machine, the speed of PPYOLOE-s model is as follows,\n",
-    "\n",
-    "# batch_size=1, 2.80ms, 357fps\n",
-    "# batch_size=32, 67.69ms, 472fps"
+    "# inference single image\n",
+    "!CUDA_VISIBLE_DEVICES=0 python deploy/python/infer.py --model_dir=output_inference/ppyoloe_plus_crn_l_80e_coco --image_file=demo_input/000000014439.jpg --device=gpu --run_mode=paddle --output_dir=demo_output"
    ]
   },
   {
@@ -259,10 +195,21 @@
   }
  ],
  "metadata": {
-  "language_info": {
-   "name": "python"
+  "kernelspec": {
+   "display_name": "Python 3.10.6 64-bit",
+   "language": "python",
+   "name": "python3"
   },
-  "orig_nbformat": 4
+  "language_info": {
+   "name": "python",
+   "version": "3.10.6"
+  },
+  "orig_nbformat": 4,
+  "vscode": {
+   "interpreter": {
+    "hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6"
+   }
+  }
  },
  "nbformat": 4,
  "nbformat_minor": 2

modelcenter/PP-YOLOE/APP/app.py

@@ -19,7 +19,7 @@ with gr.Blocks() as demo:
 
     with gr.Column(scale=1, min_width=100):
 
-        img_in = gr.Image(label="Input").style(height=200)
+        img_in = gr.Image(value="https://paddledet.bj.bcebos.com/modelcenter/images/General/000000014439.jpg",label="Input").style(height=200)
 
         with gr.Row():
             btn1 = gr.Button("Clear")

modelcenter/PP-YOLOE/info.yaml

@@ -4,7 +4,7 @@ Model_Info:
   description: "PP-YOLOE是基于PP-YOLOv2的卓越的单阶段Anchor-free模型，超越了多种流行的YOLO模型"
   description_en: "PP-YOLOE is an excellent single-stage anchor-free model based on\
     \ PP-YOLOv2, surpassing a variety of popular YOLO models"
-  icon: "@后续UE统一设计之后，会存到bos上某个位置"
+  icon: "https://paddledet.bj.bcebos.com/modelcenter/images/icons/icon_PP-YOLOE.png"
   from_repo: "PaddleDetection"
 Task:
 - tag_en: "Computer Vision"
@@ -19,7 +19,7 @@ Example:
   sub_tag: "目标检测"
   url: "https://aistudio.baidu.com/aistudio/projectdetail/4228391"
 Datasets: "COCO test-dev2017, COCO train2017, COCO val2017, Pascal VOC"
-Pulisher: "Baidu"
+Publisher: "Baidu"
 License: "apache.2.0"
 Paper:
 - title: "PP-YOLOE: An evolved version of YOLO"

modelcenter/PP-YOLOE/introduction_cn.ipynb

@@ -30,16 +30,17 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
-    "%cd ~/work\n",
-    "!git clone https://gitee.com/paddlepaddle/PaddleDetection\n",
+    "# 克隆PaddleDetection仓库\n",
+    "%mkdir -p ~/work\n",
+    "%cd ~/work/\n",
+    "!git clone https://github.com/PaddlePaddle/PaddleDetection.git\n",
+    "\n",
+    "# 安装其他依赖\n",
     "%cd PaddleDetection\n",
+    "%mkdir -p demo_input demo_output\n",
     "!pip install -r requirements.txt"
    ]
   },
@@ -54,11 +55,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# 单卡训练\n",
@@ -93,11 +90,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "!python tools/export_model.py -c configs/ppyoloe/ppyoloe_crn_l_300e_coco.yml -o weights=https://paddledet.bj.bcebos.com/models/ppyoloe_crn_l_300e_coco.pdparams trt=True"
@@ -113,18 +106,12 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# 推理单张图片\n",
-    "!CUDA_VISIBLE_DEVICES=0 python deploy/python/infer.py --model_dir=output_inference/ppyoloe_crn_l_300e_coco --image_file=demo/000000014439_640x640.jpg --device=gpu --run_mode=trt_fp16\n",
-    "\n",
-    "# 推理文件夹下的所有图片\n",
-    "!CUDA_VISIBLE_DEVICES=0 python deploy/python/infer.py --model_dir=output_inference/ppyoloe_crn_l_300e_coco --image_dir=demo/ --device=gpu  --run_mode=trt_fp16"
+    "!wget -P demo_input -N https://paddledet.bj.bcebos.com/modelcenter/images/General/000000014439.jpg\n",
+    "!CUDA_VISIBLE_DEVICES=0 python deploy/python/infer.py --model_dir=output_inference/ppyoloe_crn_l_300e_coco --image_file=demo_input/000000014439.jpg --device=gpu --run_mode=trt_fp16 --output_dir=demo_output"
    ]
   },
   {
@@ -147,11 +134,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "!python tools/export_model.py -c configs/ppyoloe/ppyoloe_crn_l_300e_coco.yml -o weights=https://paddledet.bj.bcebos.com/models/ppyoloe_crn_l_300e_coco.pdparams"
@@ -167,18 +150,11 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# 推理单张图片\n",
-    "!CUDA_VISIBLE_DEVICES=0 python deploy/python/infer.py --model_dir=output_inference/ppyoloe_crn_l_300e_coco --image_file=demo/000000014439_640x640.jpg --device=gpu --run_mode=paddle\n",
-    "\n",
-    "# 推理文件夹下的所有图片\n",
-    "!CUDA_VISIBLE_DEVICES=0 python deploy/python/infer.py --model_dir=output_inference/ppyoloe_crn_l_300e_coco --image_dir=demo/ --device=gpu  --run_mode=paddle"
+    "!CUDA_VISIBLE_DEVICES=0 python deploy/python/infer.py --model_dir=output_inference/ppyoloe_crn_l_300e_coco --image_file=demo_input/000000014439.jpg --device=gpu --run_mode=paddle --output_dir=demo_output\n"
    ]
   },
   {
@@ -225,10 +201,29 @@
   }
  ],
  "metadata": {
-  "language_info": {
-   "name": "python"
+  "kernelspec": {
+   "display_name": "Python 3.8.13 ('paddle_env')",
+   "language": "python",
+   "name": "python3"
   },
-  "orig_nbformat": 4
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.13"
+  },
+  "orig_nbformat": 4,
+  "vscode": {
+   "interpreter": {
+    "hash": "864bc28e4d94d9c1c4bd0747e4313c0ab41718ab445ced17dbe1a405af5ecc64"
+   }
+  }
  },
  "nbformat": 4,
  "nbformat_minor": 2

modelcenter/PP-YOLOE/introduction_en.ipynb

@@ -31,16 +31,15 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
-    "%cd ~/work\n",
-    "!git clone https://gitee.com/paddlepaddle/PaddleDetection\n",
+    "%mkdir -p ~/work\n",
+    "%cd ~/work/\n",
+    "!git clone https://github.com/PaddlePaddle/PaddleDetection.git\n",
+    "\n",
     "%cd PaddleDetection\n",
+    "%mkdir -p demo_input demo_output\n",
     "!pip install -r requirements.txt"
    ]
   },
@@ -55,11 +54,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# training with single GPU\n",
@@ -94,11 +89,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "!python tools/export_model.py -c configs/ppyoloe/ppyoloe_crn_l_300e_coco.yml -o weights=https://paddledet.bj.bcebos.com/models/ppyoloe_crn_l_300e_coco.pdparams trt=True"
@@ -114,18 +105,12 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# inference single image\n",
-    "!CUDA_VISIBLE_DEVICES=0 python deploy/python/infer.py --model_dir=output_inference/ppyoloe_crn_l_300e_coco --image_file=demo/000000014439_640x640.jpg --device=gpu --run_mode=trt_fp16\n",
-    "\n",
-    "# inference all images in the directory\n",
-    "!CUDA_VISIBLE_DEVICES=0 python deploy/python/infer.py --model_dir=output_inference/ppyoloe_crn_l_300e_coco --image_dir=demo/ --device=gpu  --run_mode=trt_fp16"
+    "!wget -P demo_input -N https://paddledet.bj.bcebos.com/modelcenter/images/General/000000014439.jpg\n",
+    "!CUDA_VISIBLE_DEVICES=0 python deploy/python/infer.py --model_dir=output_inference/ppyoloe_crn_l_300e_coco --image_file=demo_input/000000014439.jpg --device=gpu --run_mode=trt_fp16 --output_dir=demo_output"
    ]
   },
   {
@@ -148,11 +133,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "!python tools/export_model.py -c configs/ppyoloe/ppyoloe_crn_l_300e_coco.yml -o weights=https://paddledet.bj.bcebos.com/models/ppyoloe_crn_l_300e_coco.pdparams"
@@ -168,18 +149,11 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# inference single image\n",
-    "!CUDA_VISIBLE_DEVICES=0 python deploy/python/infer.py --model_dir=output_inference/ppyoloe_crn_l_300e_coco --image_file=demo/000000014439_640x640.jpg --device=gpu --run_mode=paddle\n",
-    "\n",
-    "# inference all images in the directory\n",
-    "!CUDA_VISIBLE_DEVICES=0 python deploy/python/infer.py --model_dir=output_inference/ppyoloe_crn_l_300e_coco --image_dir=demo/ --device=gpu  --run_mode=paddle"
+    "!CUDA_VISIBLE_DEVICES=0 python deploy/python/infer.py --model_dir=output_inference/ppyoloe_crn_l_300e_coco --image_file=demo_input/000000014439.jpg --device=gpu --run_mode=paddle --output_dir=demo_output"
    ]
   },
   {
@@ -226,10 +200,21 @@
   }
  ],
  "metadata": {
-  "language_info": {
-   "name": "python"
+  "kernelspec": {
+   "display_name": "Python 3.10.6 64-bit",
+   "language": "python",
+   "name": "python3"
   },
-  "orig_nbformat": 4
+  "language_info": {
+   "name": "python",
+   "version": "3.10.6"
+  },
+  "orig_nbformat": 4,
+  "vscode": {
+   "interpreter": {
+    "hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6"
+   }
+  }
  },
  "nbformat": 4,
  "nbformat_minor": 2

modelcenter/PP-YOLOv2/APP/app.py

@@ -19,7 +19,7 @@ with gr.Blocks() as demo:
 
     with gr.Column(scale=1, min_width=100):
 
-        img_in = gr.Image(label="Input").style(height=200)
+        img_in = gr.Image(value="https://paddledet.bj.bcebos.com/modelcenter/images/General/000000014439.jpg",label="Input").style(height=200)
 
         with gr.Row():
             btn1 = gr.Button("Clear")

modelcenter/PP-YOLOv2/info.yaml

@@ -5,7 +5,7 @@ Model_Info:
    description: PP-YOLOv2是PP-YOLO的升级版本
    description_en: PP-YOLOv2 is an upgraded version of PP-YOLO
    update_time: 
-   icon: url  
+   icon: "https://paddledet.bj.bcebos.com/modelcenter/images/icons/icon_PP-YOLOv2.png"
    from_repo: "PaddleDetection"
 
 Task:
@@ -31,7 +31,7 @@ Example:
  
 Datasets: COCO test-dev2017, COCO train2017, COCO val2017, Pascal VOC
    
-Pulisher: Baidu
+Publisher: Baidu
 
 License: Apache 2.0
 

modelcenter/PP-YOLOv2/introduction_cn.ipynb

@@ -63,55 +63,15 @@
    },
    "outputs": [],
    "source": [
-    "%cd ~/work\n",
-    "# 克隆PaddleDetection（从gitee上更快）,本项目以做持久化处理，不用克隆了。\n",
-    "!git clone https://gitee.com/paddlepaddle/PaddleDetection"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "* 安装"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "scrolled": true,
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "# 运行脚本需在PaddleDetection目录下\n",
-    "%cd ~/work/PaddleDetection/\n",
-    "\n",
-    "# 安装所需依赖项【已经做持久化处理，无需再安装】\n",
-    "!pip install pyzmq   \n",
-    "!pip install -r requirements.txt\n",
-    "\n",
-    "# 运行脚本需在PaddleDetection目录下\n",
-    "%cd ~/work/PaddleDetection/\n",
-    "# 设置python运行目录\n",
-    "%env PYTHONPATH=.:$PYTHONPATH\n",
-    "# 设置GPU\n",
-    "%env CUDA_VISIBLE_DEVICES=0\n",
-    "\n",
-    "# 经简单测试，提前安装所需依赖，比直接使用setup.py更快\n",
-    "!pip install pycocotools  \n",
-    "!pip install cython-bbox      \n",
-    "!pip install xmltodict  \n",
-    "!pip install terminaltables    \n",
-    "!pip intall motmetrics  \n",
-    "!pip install lap    \n",
-    "!pip install shapely      \n",
-    "!pip install pytest-benchmark    \n",
-    "!pip install pytest    \n",
-    "\n",
-    "\n",
-    "# 开始安装PaddleDetection \n",
-    "!python setup.py install  #如果安装过程中长时间卡住，可中断后继续重新执行，"
+    "# 克隆PaddleDetection仓库\n",
+    "%mkdir -p ~/work\n",
+    "%cd ~/work/\n",
+    "!git clone https://github.com/PaddlePaddle/PaddleDetection.git\n",
+    "\n",
+    "# 安装其他依赖\n",
+    "%cd PaddleDetection\n",
+    "%mkdir -p demo_input demo_output\n",
+    "!pip install -r requirements.txt"
    ]
   },
   {
@@ -154,7 +114,8 @@
    "source": [
     "# 在GPU上预测一张图片\n",
     "!export CUDA_VISIBLE_DEVICES=0\n",
-    "!python tools/infer.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml -o use_gpu=true weights=https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams --infer_img=demo/000000014439.jpg"
+    "!wget -P demo_input -N https://paddledet.bj.bcebos.com/modelcenter/images/General/000000014439.jpg\n",
+    "!python tools/infer.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml -o use_gpu=true weights=https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams --infer_img=demo_input/000000014439.jpg"
    ]
   },
   {
@@ -190,19 +151,6 @@
     " "
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [],
-   "source": [
-    "# 查看解压目录\n",
-    "#%cd ~/work/PaddleDetection/\n",
-    "#!tree -d dataset/wider_face"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -310,11 +258,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## 4. 模型原理\n",
-    "\n",
-    "\n",
-    "（必须带有图片）\n",
-    "\n"
+    "## 4. 模型原理"
    ]
   },
   {
@@ -379,7 +323,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3.8.13 ('paddle_env')",
    "language": "python",
    "name": "python3"
   },
@@ -393,7 +337,12 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.8"
+   "version": "3.8.13"
+  },
+  "vscode": {
+   "interpreter": {
+    "hash": "864bc28e4d94d9c1c4bd0747e4313c0ab41718ab445ced17dbe1a405af5ecc64"
+   }
   }
  },
  "nbformat": 4,

modelcenter/PP-YOLOv2/introduction_en.ipynb

@@ -57,54 +57,13 @@
    },
    "outputs": [],
    "source": [
-    "%cd /home/aistudio/work\n",
+    "%mkdir -p ~/work\n",
+    "%cd ~/work/\n",
+    "!git clone https://github.com/PaddlePaddle/PaddleDetection.git\n",
     "\n",
-    "!git clone https://gitee.com/paddlepaddle/PaddleDetection"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "* Installation"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [],
-   "source": [
-    "# The script needs to be run in the PaddleDetection directory\n",
-    "%cd /home/aistudio/work/PaddleDetection/\n",
-    "\n",
-    "# Install the required dependencies [already persisted, no need to install again].\n",
-    "!pip install pyzmq  -t /home/aistudio/external-libraries    \n",
-    "# After testing on AIstudio paddlepaddle 2.2.2, an error will occur, because pyzmq needs to be installed in advance.\n",
-    "!pip install -r requirements.txt\n",
-    "\n",
-    "# The script needs to be run in the PaddleDetection directory.\n",
-    "%cd /home/aistudio/work/PaddleDetection/\n",
-    "# Set the python run directory.\n",
-    "%env PYTHONPATH=.:$PYTHONPATH\n",
-    "# Set GPU\n",
-    "%env CUDA_VISIBLE_DEVICES=0\n",
-    "\n",
-    "!pip install pycocotools  \n",
-    "!pip install cython-bbox      \n",
-    "!pip install xmltodict  \n",
-    "!pip install terminaltables    \n",
-    "!pip intall motmetrics  \n",
-    "!pip install lap    \n",
-    "!pip install shapely      \n",
-    "!pip install pytest-benchmark    \n",
-    "!pip install pytest    \n",
-    "\n",
-    "\n",
-    "# Download PaddleDetection \n",
-    "!python setup.py install  "
+    "%cd PaddleDetection\n",
+    "%mkdir -p demo_input demo_output\n",
+    "!pip install -r requirements.txt"
    ]
   },
   {
@@ -146,7 +105,8 @@
    "source": [
     "# Predict a picture on the GPU.\n",
     "!export CUDA_VISIBLE_DEVICES=0\n",
-    "!python tools/infer.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml -o use_gpu=true weights=https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams --infer_img=demo/000000014439.jpg"
+    "!wget -P demo_input -N https://paddledet.bj.bcebos.com/modelcenter/images/General/000000014439.jpg\n",
+    "!python tools/infer.py -c configs/ppyolo/ppyolo_r50vd_dcn_1x_coco.yml -o use_gpu=true weights=https://paddledet.bj.bcebos.com/models/ppyolo_r50vd_dcn_1x_coco.pdparams --infer_img=demo_input/000000014439.jpg"
    ]
   },
   {
@@ -176,22 +136,6 @@
     "* Prepare the datasets."
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [],
-   "source": [
-    "# return to /home/aistudio\n",
-    "%cd ~\n",
-    "\n",
-    "# Review the extract directory\n",
-    "%cd /home/aistudio/work/PaddleDetection/\n",
-    "!tree -d dataset/wider_face"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -361,7 +305,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3.10.6 64-bit",
    "language": "python",
    "name": "python3"
   },
@@ -375,7 +319,12 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.8"
+   "version": "3.10.6"
+  },
+  "vscode": {
+   "interpreter": {
+    "hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6"
+   }
   }
  },
  "nbformat": 4,