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Feb 8, 2023
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ppvehicle_press ppvehicle_retrograde doc fix link test=document_fix #7710

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ppvehicle_press ppvehicle_retrograde doc fix link test=document_fix
LokeZhou Feb 8, 2023
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ppvehicle_press ppvehicle_retrograde doc abs path fix rel path test=…
LokeZhou Feb 8, 2023
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4 changes: 2 additions & 2 deletions deploy/pipeline/docs/tutorials/ppvehicle_press.md
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Original file line number Diff line number Diff line change
Expand Up @@ -29,7 +29,7 @@ LANE_SEG:
lane_seg_config: deploy/pipeline/config/lane_seg_config.yml #车道线提取配置文件
model_dir: https://bj.bcebos.com/v1/paddledet/models/pipeline/pp_lite_stdc2_bdd100k.zip #模型文件路径
```
[车道线配置文件](../../config/lane_seg.yml)中与车道线提取相关的参数如下：
[车道线配置文件](../../config/lane_seg_config.yml)中与车道线提取相关的参数如下：
```
type: PLSLaneseg #选择分割模型

Expand Down Expand Up @@ -107,7 +107,7 @@ python deploy/pipeline/pipeline.py --config deploy/pipeline/config/infer_cfg_ppv
3 虚线
车辆压线分析过滤虚线类；

2.车道线通过对分割结果聚类得到，且默认过滤水平方向车道线，若不过滤可在[车道线配置文件](../../config/lane_seg.yml)修改`filter_flag`参数；
2.车道线通过对分割结果聚类得到，且默认过滤水平方向车道线，若不过滤可在[车道线配置文件](../../config/lane_seg_config.yml)修改`filter_flag`参数；

3.车辆压线判断条件：车辆的检测框底边线与车道线是否有交点；

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4 changes: 2 additions & 2 deletions deploy/pipeline/docs/tutorials/ppvehicle_press_en.md
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Expand Up @@ -30,7 +30,7 @@ LANE_SEG:
lane_seg_config: deploy/pipeline/config/lane_seg_config.yml #lane line seg config file
model_dir: https://bj.bcebos.com/v1/paddledet/models/pipeline/pp_lite_stdc2_bdd100k.zip #model path
```
The parameters related to Lane line segmentation in [lane line seg config file](../../config/lane_seg.yml)is as follows:
The parameters related to Lane line segmentation in [lane line seg config file](../../config/lane_seg_config.yml)is as follows:
```
type: PLSLaneseg #Select segmentation Model

Expand Down Expand Up @@ -107,7 +107,7 @@ The result is shown as follow:
3 Dashed line
Lane line recognition filtering Dashed lines;

2.Lane lines are obtained by clustering segmentation results, and the horizontal lane lines are filtered by default. If not, you can modify the `filter_flag` in [lane line seg config file](../../config/lane_seg.yml);
2.Lane lines are obtained by clustering segmentation results, and the horizontal lane lines are filtered by default. If not, you can modify the `filter_flag` in [lane line seg config file](../../config/lane_seg_config.yml);

3.Judgment conditions for vehicle line pressing: whether there is intersection between the bottom edge line of vehicle detection frame and lane line;

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4 changes: 2 additions & 2 deletions deploy/pipeline/docs/tutorials/ppvehicle_retrograde.md
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Expand Up @@ -38,7 +38,7 @@ VEHICLE_RETROGRADE:
#车辆静止
fence_line: [] #车道中间线坐标，格式[x1,y1,x2,y2] 且y2>y1。若为空，由程序根据车流方向自动判断
```
[车道线配置文件](../../config/lane_seg.yml)中与车道线提取相关的参数如下：
[车道线配置文件](../../config/lane_seg_config.yml)中与车道线提取相关的参数如下：
```
type: PLSLaneseg #选择分割模型

Expand Down Expand Up @@ -113,7 +113,7 @@ python deploy/pipeline/pipeline.py --config deploy/pipeline/config/infer_cfg_ppv
3 虚线
车辆逆行分析过滤虚线类；

3.车道线通过对分割结果聚类得到，且默认过滤水平方向车道线，若不过滤可在[车道线配置文件](../../config/lane_seg.yml)修改`filter_flag`参数;
3.车道线通过对分割结果聚类得到，且默认过滤水平方向车道线，若不过滤可在[车道线配置文件](../../config/lane_seg_config.yml)修改`filter_flag`参数;

4.车辆逆行判断默认过滤水平方向车辆，若不过滤可在[配置文件](../../config/infer_cfg_ppvehicle.yml)修改`filter_horizontal_flag`参数;

Expand Down
4 changes: 2 additions & 2 deletions deploy/pipeline/docs/tutorials/ppvehicle_retrograde_en.md
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Original file line number Diff line number Diff line change
Expand Up @@ -38,7 +38,7 @@ VEHICLE_RETROGRADE:
move_scale: 0.01 #Filter the threshold value of stationary vehicles. If the vehicle moving pixel is greater than the image diagonal * move_scale, the vehicle is considered moving, otherwise, the vehicle is stationary
fence_line: [] #Lane centerline coordinates, format[x1,y1,x2,y2] and y2>y1. If it is empty, the program will automatically judge according to the direction of traffic flow
```
The parameters related to Lane line segmentation in [lane line seg config file](../../config/lane_seg.yml)is as follows:
The parameters related to Lane line segmentation in [lane line seg config file](../../config/lane_seg_config.yml)is as follows:
```
type: PLSLaneseg #Select segmentation Model

Expand Down Expand Up @@ -111,7 +111,7 @@ The result is shown as follow:
3 Dashed line
Lane line recognition filtering Dashed lines;

3.Lane lines are obtained by clustering segmentation results, and the horizontal lane lines are filtered by default. If not, you can modify the `filter_flag` in [lane line seg config file](../../config/lane_seg.yml);
3.Lane lines are obtained by clustering segmentation results, and the horizontal lane lines are filtered by default. If not, you can modify the `filter_flag` in [lane line seg config file](../../config/lane_seg_config.yml);

4.The vehicles in the horizontal direction are filtered by default when judging the vehicles in the reverse direction. If not, you can modify the `filter_horizontal_flag` in [config file](../../config/infer_cfg_ppvehicle.yml);

Expand Down