From 3b09a8be71422e0f4097902c0be9208f3d546ce8 Mon Sep 17 00:00:00 2001 From: thinkthinking <61035602+thinkthinking@users.noreply.github.com> Date: Tue, 22 Nov 2022 14:31:29 +0800 Subject: [PATCH] [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 | 10 +- .../PP-HumanV2/APP/pipeline/pipeline.py | 2 +- modelcenter/PP-HumanV2/info.yaml | 4 +- modelcenter/PP-HumanV2/introduction_cn.ipynb | 113 ++++++++++++----- modelcenter/PP-HumanV2/introduction_en.ipynb | 80 ++++++++---- modelcenter/PP-PicoDet/APP/app.py | 2 +- modelcenter/PP-PicoDet/info.yaml | 4 +- modelcenter/PP-PicoDet/introduction_cn.ipynb | 56 ++++++--- modelcenter/PP-PicoDet/introduction_en.ipynb | 36 +++--- .../picodet_v2_s_320_pedestrian/infer_cfg.yml | 106 ---------------- .../model.pdiparams | Bin 4738680 -> 0 bytes .../model.pdiparams.info | Bin 39332 -> 0 bytes .../picodet_v2_s_320_pedestrian/model.pdmodel | Bin 3060561 -> 0 bytes .../tinypose_128x96/infer_cfg.yml | 24 ---- .../tinypose_128x96/model.pdiparams | Bin 5456137 -> 0 bytes .../tinypose_128x96/model.pdiparams.info | Bin 135248 -> 0 bytes .../tinypose_128x96/model.pdmodel | Bin 10928441 -> 0 bytes .../{PP-TInyPose => PP-TinyPose}/.gitkeep | 0 .../{PP-TInyPose => PP-TinyPose}/APP/app.py | 4 +- .../{PP-TInyPose => PP-TinyPose}/APP/app.yml | 0 .../APP/benchmark_utils.py | 0 .../APP/det_keypoint_unite_infer.py | 0 .../APP/det_keypoint_unite_utils.py | 0 .../{PP-TInyPose => PP-TinyPose}/APP/infer.py | 0 .../APP/keypoint_infer.py | 0 .../APP/keypoint_postprocess.py | 0 .../APP/keypoint_preprocess.py | 0 .../APP/picodet_postprocess.py | 0 .../APP/preprocess.py | 0 .../{PP-TInyPose => PP-TinyPose}/APP/utils.py | 0 .../APP/visualize.py | 0 .../benchmark_cn.md | 0 .../benchmark_en.md | 0 .../download_cn.md | 0 .../download_en.md | 0 .../{PP-TInyPose => PP-TinyPose}/info.yaml | 4 +- .../introduction_cn.ipynb | 117 +++++++++--------- .../introduction_en.ipynb | 110 +++++++--------- .../tinypose_pipeline.png | Bin modelcenter/PP-Vehicle/APP/app.py | 4 +- modelcenter/PP-Vehicle/info.yaml | 4 +- modelcenter/PP-Vehicle/introduction_cn.ipynb | 87 ++++++++----- modelcenter/PP-Vehicle/introduction_en.ipynb | 60 +++++---- modelcenter/PP-YOLO/APP/app.py | 2 +- modelcenter/PP-YOLO/info.yaml | 4 +- modelcenter/PP-YOLO/introduction_cn.ipynb | 53 +++++--- modelcenter/PP-YOLO/introduction_en.ipynb | 53 ++++---- modelcenter/PP-YOLOE+/APP/app.py | 2 +- modelcenter/PP-YOLOE+/info.yaml | 4 +- modelcenter/PP-YOLOE+/introduction_cn.ipynb | 116 ++++++----------- modelcenter/PP-YOLOE+/introduction_en.ipynb | 111 +++++------------ modelcenter/PP-YOLOE/APP/app.py | 2 +- modelcenter/PP-YOLOE/info.yaml | 4 +- modelcenter/PP-YOLOE/introduction_cn.ipynb | 81 ++++++------ modelcenter/PP-YOLOE/introduction_en.ipynb | 71 +++++------ modelcenter/PP-YOLOv2/APP/app.py | 2 +- modelcenter/PP-YOLOv2/info.yaml | 4 +- modelcenter/PP-YOLOv2/introduction_cn.ipynb | 89 +++---------- modelcenter/PP-YOLOv2/introduction_en.ipynb | 81 +++--------- 59 files changed, 654 insertions(+), 852 deletions(-) delete mode 100644 modelcenter/PP-TInyPose/APP/output_inference/picodet_v2_s_320_pedestrian/infer_cfg.yml delete mode 100644 modelcenter/PP-TInyPose/APP/output_inference/picodet_v2_s_320_pedestrian/model.pdiparams delete mode 100644 modelcenter/PP-TInyPose/APP/output_inference/picodet_v2_s_320_pedestrian/model.pdiparams.info delete mode 100644 modelcenter/PP-TInyPose/APP/output_inference/picodet_v2_s_320_pedestrian/model.pdmodel delete mode 100644 modelcenter/PP-TInyPose/APP/output_inference/tinypose_128x96/infer_cfg.yml delete mode 100644 modelcenter/PP-TInyPose/APP/output_inference/tinypose_128x96/model.pdiparams delete mode 100644 modelcenter/PP-TInyPose/APP/output_inference/tinypose_128x96/model.pdiparams.info delete mode 100644 modelcenter/PP-TInyPose/APP/output_inference/tinypose_128x96/model.pdmodel rename modelcenter/{PP-TInyPose => PP-TinyPose}/.gitkeep (100%) rename modelcenter/{PP-TInyPose => PP-TinyPose}/APP/app.py (83%) rename modelcenter/{PP-TInyPose => PP-TinyPose}/APP/app.yml (100%) rename modelcenter/{PP-TInyPose => PP-TinyPose}/APP/benchmark_utils.py (100%) rename modelcenter/{PP-TInyPose => PP-TinyPose}/APP/det_keypoint_unite_infer.py (100%) rename modelcenter/{PP-TInyPose => PP-TinyPose}/APP/det_keypoint_unite_utils.py (100%) rename modelcenter/{PP-TInyPose => PP-TinyPose}/APP/infer.py (100%) rename modelcenter/{PP-TInyPose => PP-TinyPose}/APP/keypoint_infer.py (100%) rename modelcenter/{PP-TInyPose => PP-TinyPose}/APP/keypoint_postprocess.py (100%) rename modelcenter/{PP-TInyPose => PP-TinyPose}/APP/keypoint_preprocess.py (100%) rename modelcenter/{PP-TInyPose => PP-TinyPose}/APP/picodet_postprocess.py (100%) rename modelcenter/{PP-TInyPose => PP-TinyPose}/APP/preprocess.py (100%) rename modelcenter/{PP-TInyPose => PP-TinyPose}/APP/utils.py (100%) rename modelcenter/{PP-TInyPose => PP-TinyPose}/APP/visualize.py (100%) rename modelcenter/{PP-TInyPose => PP-TinyPose}/benchmark_cn.md (100%) rename modelcenter/{PP-TInyPose => PP-TinyPose}/benchmark_en.md (100%) rename modelcenter/{PP-TInyPose => PP-TinyPose}/download_cn.md (100%) rename modelcenter/{PP-TInyPose => PP-TinyPose}/download_en.md (100%) rename modelcenter/{PP-TInyPose => PP-TinyPose}/info.yaml (87%) rename modelcenter/{PP-TInyPose => PP-TinyPose}/introduction_cn.ipynb (75%) rename modelcenter/{PP-TInyPose => PP-TinyPose}/introduction_en.ipynb (80%) rename modelcenter/{PP-TInyPose => PP-TinyPose}/tinypose_pipeline.png (100%) diff --git a/modelcenter/PP-HumanV2/APP/app.py b/modelcenter/PP-HumanV2/APP/app.py index 092db1c5..1a9bc1c4 100644 --- a/modelcenter/PP-HumanV2/APP/app.py +++ b/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") diff --git a/modelcenter/PP-HumanV2/APP/pipeline/pipeline.py b/modelcenter/PP-HumanV2/APP/pipeline/pipeline.py index 2b34b6b8..c43fb34f 100644 --- a/modelcenter/PP-HumanV2/APP/pipeline/pipeline.py +++ b/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: diff --git a/modelcenter/PP-HumanV2/info.yaml b/modelcenter/PP-HumanV2/info.yaml index 0859c91f..a6e4cddb 100644 --- a/modelcenter/PP-HumanV2/info.yaml +++ b/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 diff --git a/modelcenter/PP-HumanV2/introduction_cn.ipynb b/modelcenter/PP-HumanV2/introduction_cn.ipynb index 8ebf3be5..05386cdc 100644 --- a/modelcenter/PP-HumanV2/introduction_cn.ipynb +++ b/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, diff --git a/modelcenter/PP-HumanV2/introduction_en.ipynb b/modelcenter/PP-HumanV2/introduction_en.ipynb index 11d27928..fbe8b6ea 100644 --- a/modelcenter/PP-HumanV2/introduction_en.ipynb +++ b/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, diff --git a/modelcenter/PP-PicoDet/APP/app.py b/modelcenter/PP-PicoDet/APP/app.py index 13cb0249..cc532407 100644 --- a/modelcenter/PP-PicoDet/APP/app.py +++ b/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") diff --git a/modelcenter/PP-PicoDet/info.yaml b/modelcenter/PP-PicoDet/info.yaml index 6ff81716..272b93ff 100644 --- a/modelcenter/PP-PicoDet/info.yaml +++ b/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" diff --git a/modelcenter/PP-PicoDet/introduction_cn.ipynb b/modelcenter/PP-PicoDet/introduction_cn.ipynb index cba57017..b0c9dff0 100644 --- a/modelcenter/PP-PicoDet/introduction_cn.ipynb +++ b/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 diff --git a/modelcenter/PP-PicoDet/introduction_en.ipynb b/modelcenter/PP-PicoDet/introduction_en.ipynb index d8f0e42e..3fa7bf09 100644 --- a/modelcenter/PP-PicoDet/introduction_en.ipynb +++ b/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 diff --git a/modelcenter/PP-TInyPose/APP/output_inference/picodet_v2_s_320_pedestrian/infer_cfg.yml b/modelcenter/PP-TInyPose/APP/output_inference/picodet_v2_s_320_pedestrian/infer_cfg.yml deleted file mode 100644 index 9ad451a2..00000000 --- a/modelcenter/PP-TInyPose/APP/output_inference/picodet_v2_s_320_pedestrian/infer_cfg.yml +++ /dev/null @@ -1,106 +0,0 @@ -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 -- 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