Fix links in doc site

configs/localization/bmn/README.md

@@ -9,7 +9,7 @@
 |[bmn_400x100_9e_2x8_activitynet_feature](/configs/localization/bmn/bmn_400x100_2x8_9e_activitynet_feature.py) | None |75.28|67.22|5420|3.27|[ckpt]()| [log]()|
 
 
-For more details on data preparation, you can refer to [Prepaing Activitynet](/tools/data/activitynet/preparing_activitynet.md).
+For more details on data preparation, you can refer to ActivityNet feature in [Data Preparation](/docs/data_preparation.md).
 
 ## Train
 You can use the following command to train a model.

configs/localization/bsn/README.md

@@ -8,8 +8,7 @@
 |-|-|-|-|-|-|-|-|
 |bsn_400x100_1x16_20e_activitynet_feature | None |74.65|66.45|41(TEM)+25(PEM)|0.074(TEM)+0.036(PEM)|[ckpt_tem]() [ckpt_pem]| [log_tem]() [log_pem]()|
 
-
-For more details on data preparation, you can refer to [Prepaing Activitynet](/tools/data/activitynet/preparing_activitynet.md).
+For more details on data preparation, you can refer to ActivityNet feature in [Data Preparation](/docs/data_preparation.md).
 
 ## Train
 You can use the following commands to train a model.

configs/recognition/i3d/README.md

@@ -12,7 +12,7 @@
 |[i3d_r50_fast_32x2x1_100e_kinetics400_rgb](/configs/recognition/i3d/i3d_r50_fast_32x2x1_100e_kinetics400_rgb.py) | ResNet50 |ImageNet|72.32|90.72| x| [ckpt]() | [log]()|
 |[i3d_r50_video_3d_32x2x1_100e_kinetics400_rgb](/configs/recognition/i3d/i3d_r50_video_32x2x1_100e_kinetics400_rgb.py) | ResNet50| ImageNet| x | x | x| [ckpt]() | [log]()|
 
-For more details on data preparation, you can refer to [preparing_kinetics400](/tools/data/kinetics400/preparing_kinetics400.md).
+For more details on data preparation, you can refer to Kinetics400 in [Data Preparation](/docs/data_preparation.md).
 
 ## Train
 You can use the following command to train a model.

configs/recognition/r2plus1d/README.md

@@ -10,7 +10,7 @@
 |[r2plus1d_r34_32x2x1_180e_kinetics400_rgb](/configs/recognition/r2plus1d/r2plus1d_r34_32x2x1_180e_kinetics400_rgb.py) | ResNet34|None |74.60|91.59|12975| [ckpt]() | [log]()|
 |[r2plus1d_r34_video_8x8x1_180e_kinetics400_rgb](/configs/recognition/r2plus1d/r2plus1d_r34_video_8x8x1_180e_kinetics400_rgb.py) | ResNet34|None |x|x|x| [ckpt]() | [log]()|
 
-For more details on data preparation, you can refer to [preparing_kinetics400](/tools/data/kinetics400/preparing_kinetics400.md).
+For more details on data preparation, you can refer to Kinetics400 in [Data Preparation](/docs/data_preparation.md).
 
 ## Train
 You can use the following command to train a model.

configs/recognition/slowfast/README.md

@@ -10,7 +10,7 @@
 |[slowfast_r50_8x8x1_256e_kinetics400_rgb](/configs/recognition/slowfast/slowfast_r50_8x8x1_256e_kinetics400_rgb.py) | ResNet50 |None|76.36|92.56|9062| [ckpt]() | [log]()|
 |[slowfast_r50_video_4x16x1_256e_kinetics400_rgb](/configs/recognition/slowfast/slowfast_r50_video_4x16x1_256e_kinetics400_rgb.py) | ResNet50|None |x|x|x| [ckpt]() | [log]()|
 
-For more details on data preparation, you can refer to [preparing_kinetics400](/tools/data/kinetics400/preparing_kinetics400.md).
+For more details on data preparation, you can refer to Kinetics400 in [Data Preparation](/docs/data_preparation.md).
 
 ## Train
 You can use the following command to train a model.

configs/recognition/slowonly/README.md

@@ -12,7 +12,7 @@
 |[slowonly_r50_8x8x1_196e_kinetics400_flow](/configs/recognition/slowonly/slowonly_r50_8x8x1_196e_kinetics400_flow.py) | ResNet50 | ImageNet |65.76|86.25|8455| [ckpt]() | [log]() |
 |[slowonly_r50_video_4x16x1_256e_kinetics400_rgb](/configs/recognition/slowonly/slowonly_r50_video_4x16x1_256e_kinetics400_rgb.py)| ResNet50  | None |x|x|x| [ckpt]() | [log]()|
 
-For more details on data preparation, you can refer to [preparing_kinetics400](/tools/data/kinetics400/preparing_kinetics400.md).
+For more details on data preparation, you can refer to Kinetics400 in [Data Preparation](/docs/data_preparation.md).
 
 ## Train
 You can use the following command to train a model.

configs/recognition/tin/README.md

@@ -19,8 +19,7 @@
 |-|-|-|-|-|-|-|-|
 |[tin_r50_1x1x8_35e_sthv2_rgb](/configs/recognition/tin/tin_r50_1x1x8_35e_sthv2_rgb.py) | ResNet50|ImageNet |53.08|82.02| x | [ckpt]() | [log]()|
 
-For more details on data preparation, you can refer to [preparing_kinetics400](/tools/data/kinetics400/preparing_kinetics400.md),
-[preparing_sthv1](/tools/data/sthv1/preparing_sthv1.md), [preparing_sthv2](/tools/data/sthv2/preparing_sthv2.md).
+For more details on data preparation, you can refer to Kinetics400, Something-Something V1 and Something-Something V2 in [Data Preparation](/docs/data_preparation.md).
 
 ## Train
 You can use the following command to train a model.

configs/recognition/tsm/README.md

@@ -27,8 +27,7 @@
 |[tsm_r50_1x1x16_50e_sthv2_rgb](/configs/recognition/tsm/tsm_r50_1x1x16_50e_sthv2_rgb.py) | ResNet50| ImageNet |56.10|84.43| x| [ckpt]() | [log]()|
 |[tsm_r101_1x1x8_50e_sthv2_rgb](/configs/recognition/tsm/tsm_r101_1x1x8_50e_sthv2_rgb.py) | ResNet101 | ImageNet| x | x | x | [ckpt]() | [log]()|
 
-For more details on data preparation, you can refer to [preparing_kinetics400](/tools/data/kinetics400/preparing_kinetics400.md),
-[preparing_sthv1](/tools/data/sthv1/preparing_sthv1.md), [preparing_sthv2](/tools/data/sthv2/preparing_sthv2.md)
+For more details on data preparation, you can refer to Kinetics400, Something-Something V1 and Something-Something V2 in [Data Preparation](/docs/data_preparation.md).
 
 ## Train
 You can use the following command to train a model.

docs/getting_started.md

@@ -26,6 +26,7 @@ mmaction
 │   │   ├── ucf101_val_list.txt
 
 ```
+For more information on data preparation, please see [data_preparation.md](data_preparation.md)
 
 For using custom datasets, please refer to [Tutorial 2: Adding New Dataset](tutorials/new_dataset.md)
 

docs/index.rst

@@ -7,6 +7,7 @@ Welcome to MMAction's documentation!
    getting_started.md
    benchmark.md
    install.md
+   data_preparation.md
    config.md
    api.rst
 

docs/merge_docs.sh

@@ -21,10 +21,15 @@ sed -i '1i\## Action Localization Models' localization_models.md
 sed -i '1i\## Action Recognition Models' recognition_models.md
 
 sed -i '1i\## Preparing Datasets' prepare_data.md
-LINE_NUMBER_MATCHING=$(sed -n '/## Inference with Pre-Trained Models/=' getting_started.md) && sed -i "$((${LINE_NUMBER_MATCHING} - 1)) r prepare_data.md" getting_started.md
+cat prepare_data.md >> data_preparation.md
 
+sed -i 's/](\/docs\//](/g' recognition_models.md # remove /docs/ for link used in doc site
+sed -i 's/](\/docs\//](/g' localization_models.md
+sed -i 's/](\/docs\//](/g' data_preparation.md
 sed -i 's=](/=](http://gitlab.sz.sensetime.com/open-mmlab/mmaction-lite/tree/master/=g' recognition_models.md
 sed -i 's=](/=](http://gitlab.sz.sensetime.com/open-mmlab/mmaction-lite/tree/master/=g' localization_models.md
+sed -i 's=](/=](http://gitlab.sz.sensetime.com/open-mmlab/mmaction-lite/tree/master/=g' data_preparation.md
+
 cat localization_models.md recognition_models.md > modelzoo.md
 sed -i '1i\# Modelzoo' modelzoo.md