Fix image link and add icons (#5662)

* Update PP backbones‘ introduction

Update PP backbones‘ introduction

* Update sample image link

Update sample image link

* delete paddlecv whl package

delete paddlecv whl package

* Add model icons of OCR and Class

Add icons of OCR and Class

modelcenter/PP-HGNet/info.yaml

@@ -3,7 +3,7 @@ Model_Info:
   name: "PP-HGNet"
   description: "面向Nvidia GPU端的高性能卷积神经网络"
   description_en: "A High-performance Convolutional Neural Network for Nvidia GPU"
-  icon: ""
+  icon: "https://paddleocr.bj.bcebos.com/icon/backbone.png"
   from_repo: "PaddleClas"
 Task:
 - tag_en: "Computer Vision"

modelcenter/PP-HGNet/introduction_cn.ipynb

@@ -19,7 +19,7 @@
     "PP-HGNet 系列模型在 ImageNet1k 数据集上的评测指标如下所示：\n",
     "\n",
     "| Model | Top-1 Acc(\\%) | Top-5 Acc(\\%) | Latency(ms) |\n",
-    "|:--: |:--: |:--: |:--: | :--: |:--: |\n",
+    "|:--: |:--: |:--: |:--: |\n",
     "| PPHGNet_tiny      | 79.83 | 95.04 | 1.77 |\n",
     "| PPHGNet_tiny_ssld  | 81.95 | 96.12 | 1.77 |\n",
     "| PPHGNet_small     | 81.51| 95.82 | 2.52  |\n",
@@ -105,7 +105,6 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "collapsed": false,
     "jupyter": {
      "outputs_hidden": false
     },

modelcenter/PP-HGNet/introduction_en.ipynb

@@ -19,7 +19,7 @@
     "The evaluation indexes of PP-HGNet series models in ImageNet1k data set are shown as follows:\n",
     "\n",
     "| Model | Top-1 Acc(\\%) | Top-5 Acc(\\%) | Latency(ms) |\n",
-    "|:--: |:--: |:--: |:--: | :--: |:--: |\n",
+    "|:--: |:--: |:--: |:--: | \n",
     "| PPHGNet_tiny      | 79.83 | 95.04 | 1.77 |\n",
     "| PPHGNet_tiny_ssld  | 81.95 | 96.12 | 1.77 |\n",
     "| PPHGNet_small     | 81.51| 95.82 | 2.52  |\n",
@@ -105,7 +105,6 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "collapsed": false,
     "jupyter": {
      "outputs_hidden": false
     },

modelcenter/PP-LCNet/info.yaml

@@ -3,7 +3,7 @@ Model_Info:
   name: "PP-LCNet"
   description: "面向Intel CPU端的轻量级卷积神经网络"
   description_en: "A Lightweight Convolutional Neural Network for Intel CPU"
-  icon: ""
+  icon: "https://paddleocr.bj.bcebos.com/icon/backbone.png"
   from_repo: "PaddleClas"
 Task:
 - tag_en: "Computer Vision"

modelcenter/PP-LCNet/introduction_cn.ipynb

@@ -28,7 +28,7 @@
     "PP-LCNet 系列模型在 ImageNet1k 数据集上的评测指标如下所示：\n",
     "\n",
     "| Model | Params(M) | FLOPs(M) | Top-1 Acc(\\%) | Top-5 Acc(\\%) | Latency(ms) |\n",
-    "|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|\n",
+    "|:--:|:--:|:--:|:--:|:--:|:--:|\n",
     "| PPLCNet_x0_25  | 1.5 | 18  | 51.86 | 75.65 | 1.74 |\n",
     "| PPLCNet_x0_35  | 1.6 | 29  | 58.09 | 80.83 | 1.92 |\n",
     "| PPLCNet_x0_5   | 1.9 | 47  | 63.14 | 84.66 | 2.05 |\n",
@@ -265,11 +265,6 @@
     "PP-LCNet 系列模型在 Intel CPU 端延时测试基于 Intel Xeon Gold 6148 硬件平台完成，推理框架使用 PaddlePaddle，开启 MKLDNN 加速，推理 batch size 为 1，线程数为 10。"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": []
-  },
   {
    "cell_type": "markdown",
    "metadata": {},

modelcenter/PP-LCNet/introduction_en.ipynb

@@ -28,7 +28,7 @@
     "The evaluation results of PP-LCNet series models in ImageNet1k dataset are shown as follows:\n",
     "\n",
     "| Model | Params(M) | FLOPs(M) | Top-1 Acc(\\%) | Top-5 Acc(\\%) | Latency(ms) |\n",
-    "|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|\n",
+    "|:--:|:--:|:--:|:--:|:--:|:--:|\n",
     "| PPLCNet_x0_25  | 1.5 | 18  | 51.86 | 75.65 | 1.74 |\n",
     "| PPLCNet_x0_35  | 1.6 | 29  | 58.09 | 80.83 | 1.92 |\n",
     "| PPLCNet_x0_5   | 1.9 | 47  | 63.14 | 84.66 | 2.05 |\n",
@@ -138,7 +138,6 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "collapsed": false,
     "jupyter": {
      "outputs_hidden": false
     },

modelcenter/PP-LCNetV2/info.yaml

@@ -3,7 +3,7 @@ Model_Info:
   name: "PP-LCNetv2"
   description: "面向Intel CPU端的轻量级卷积神经网络"
   description_en: "A Lightweight Convolutional Neural Network for Intel CPU"
-  icon: ""
+  icon: "https://paddleocr.bj.bcebos.com/icon/backbone.png"
   from_repo: "https://github.com/paddlepaddle/paddleclas"
 Task:
 - tag_en: "Computer Vision"

modelcenter/PP-LCNetV2/introduction_cn.ipynb

@@ -19,7 +19,7 @@
     "PP-LCNetV2 系列模型在 ImageNet1k 数据集上的评测指标如下所示：\n",
     "\n",
     "| Model | Params(M) | FLOPs(M) | Top-1 Acc(\\%) | Top-5 Acc(\\%) | Latency(ms) |\n",
-    "|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|\n",
+    "|:--:|:--:|:--:|:--:|:--:|:--:|\n",
     "| <b>PPLCNetV2_base<b>  | <b>6.6<b> | <b>604<b>  | <b>77.04<b> | <b>93.27<b> | <b>4.32<b> |\n",
     "| <b>PPLCNetV2_base_ssld<b>  | <b>6.6<b> | <b>604<b>  | <b>80.07<b> | <b>94.87<b> | <b>4.32<b> |\n",
     "\n",
@@ -90,7 +90,6 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "collapsed": false,
     "jupyter": {
      "outputs_hidden": false
     },

modelcenter/PP-LCNetV2/introduction_en.ipynb

@@ -19,7 +19,7 @@
     "The evaluation results of PP-LCNetV2 series models on ImageNet1k dataset are shown as follows:\n",
     "\n",
     "| Model | Params(M) | FLOPs(M) | Top-1 Acc(\\%) | Top-5 Acc(\\%) | Latency(ms) |\n",
-    "|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|\n",
+    "|:--:|:--:|:--:|:--:|:--:|:--:|\n",
     "| <b>PPLCNetV2_base<b>  | <b>6.6<b> | <b>604<b>  | <b>77.04<b> | <b>93.27<b> | <b>4.32<b> |\n",
     "| <b>PPLCNetV2_base_ssld<b>  | <b>6.6<b> | <b>604<b>  | <b>80.07<b> | <b>94.87<b> | <b>4.32<b> |\n",
     "\n",
@@ -90,7 +90,6 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "collapsed": false,
     "jupyter": {
      "outputs_hidden": false
     },

modelcenter/PP-OCRv2/APP/app.py

@@ -41,7 +41,7 @@ with gr.Blocks() as demo:
 
     with gr.Column(scale=1, min_width=100):
         img_in = gr.Image(
-            value="https://raw.githubusercontent.com/PaddlePaddle/PaddleOCR/dygraph/doc/imgs/11.jpg",
+            value="https://gitee.com/PaddlePaddle/PaddleOCR/raw/dygraph/doc/imgs/11.jpg",
             label="Input")
 
         with gr.Row():

modelcenter/PP-OCRv2/info.yaml

@@ -3,7 +3,7 @@ Model_Info:
    name: "PP-OCRv2"
    description: "PP-OCRv2文字检测识别系统"
    description_en: "PP-OCRv2 text detection and recognition system"
-   icon: "@后续UE统一设计之后，会存到bos上某个位置"
+   icon: "https://paddleocr.bj.bcebos.com/icon/ocr.png"
    from_repo: "PaddleOCR"
 Task:
 - tag_en: "Computer Vision"

modelcenter/PP-OCRv3/APP/app.py

@@ -40,7 +40,8 @@ with gr.Blocks() as demo:
     gr.Markdown("PP-OCRv3")
 
     with gr.Column(scale=1, min_width=100):
-        img_in = gr.Image(label="Input")
+        img_in = gr.Image(value="https://gitee.com/PaddlePaddle/PaddleOCR/raw/dygraph/doc/imgs/11.jpg",
+                          label="Input")
 
         with gr.Row():
             btn1 = gr.Button("Clear")

modelcenter/PP-OCRv3/info.yaml

@@ -3,13 +3,21 @@ Model_Info:
    name: "PP-OCRv3"
    description: "PP-OCRv3文字检测识别系统"
    description_en: "PP-OCRv3 text detection and recognition system"
-   icon: "@后续UE统一设计之后，会存到bos上某个位置"
+   icon: "https://paddleocr.bj.bcebos.com/icon/ocr.png"
    from_repo: "PaddleOCR"
 Task:
    - tag_en: "Computer Vision"
      tag: "计算机视觉"
      sub_tag_en: "Character Recognition"
      sub_tag: "文字识别"
+   - tag_en: "Computer Vision"
+     tag: "计算机视觉"
+     sub_tag_en: "Optical Character Recognition"
+     sub_tag: "OCR"
+   - tag_en: "Computer Vision"
+     tag: "计算机视觉"
+     sub_tag_en: "Text Detection"
+     sub_tag: "文字检测"
 
 Example:
    - title: "鸟枪换炮！基于PP-OCRv3的电表检测识别"

modelcenter/PP-ShiTu/info.yaml

@@ -3,7 +3,7 @@ Model_Info:
   name: "PP-ShiTu"
   description: "PP-ShiTu识别系统"
   description_en: "PP-ShiTu, a light-weighted recognition system"
-  icon: "@后续UE统一设计之后，会存到bos上某个位置"
+  icon: "https://paddleocr.bj.bcebos.com/icon/shitu.png"
   from_repo: "PaddleClas"
 Task:
 - tag_en: "Computer Vision"

modelcenter/PP-ShiTuV2/APP/app.py

@@ -141,7 +141,7 @@ with gr.Blocks() as demo:
 
     with gr.Column(scale=1, min_width=100):
         img_in = gr.Image(
-            value="https://github.com/PaddlePaddle/PaddleClas/blob/release/2.5/docs/images/recognition/drink_data_demo/test_images/100.jpeg?raw=true",
+            value="https://gitee.com/PaddlePaddle/PaddleClas/raw/release/2.5/docs/images/recognition/drink_data_demo/test_images/100.jpeg",
             label="Input")
 
         with gr.Row():

modelcenter/PP-ShiTuV2/info.yaml

@@ -3,7 +3,7 @@ Model_Info:
   name: "PP-ShiTuV2"
   description: "PP-ShiTuV2识别系统"
   description_en: "PP-ShiTuV2, an light-weighted recognition system"
-  icon: "@后续UE统一设计之后，会存到bos上某个位置"
+  icon: "https://paddleocr.bj.bcebos.com/icon/shitu.png"
   from_repo: "PaddleClas"
 Task:
 - tag_en: "Computer Vision"

modelcenter/PP-StructureV2/info.yaml

@@ -3,7 +3,7 @@ Model_Info:
    name: "PP-StructureV2"
    description: "PP-StructureV2文档分析系统，包含版面分析，表格识别，版面恢复和关键信息抽取"
    description_en: "PP-StructureV2 document analysis system, including layout analysis, table recognition, layout recovery and key information extraction"
-   icon: "@后续UE统一设计之后，会存到bos上某个位置"
+   icon: "https://paddleocr.bj.bcebos.com/icon/structure.png"
    from_repo: "PaddleOCR"
 Task:
    - tag_en: "Computer Vision"