rename datasets.md

docker/Dockerfile

@@ -15,11 +15,7 @@ RUN apt-get update && apt-get install -y git ninja-build libglib2.0-0 libsm6 lib
 RUN conda clean --all
 RUN pip install mmcv-full==1.2.6+torch1.5.0+cu101 -f https://download.openmmlab.com/mmcv/dist/index.html
 
-RUN git clone https://github.com/open-mmlab/mmdetection.git /mmdet
-WORKDIR /mmdet
-RUN git checkout -b v2.9.0 v2.9.0
-RUN pip install -r requirements.txt
-RUN pip install .
+RUN pip install mmdet==2.9.0
 
 RUN git clone https://github.com/open-mmlab/mmocr.git /mmocr
 WORKDIR /mmocr

docs/getting_started.md

@@ -37,7 +37,7 @@ It will save both the prediction results and visualized images to `${RESULTS_DIR
 
 ### Test a Dataset
 
-MMOCR implements **distributed** testing with `MMDistributedDataParallel`. (Please refer to [datasets.md](datasets.md) to prepare your datasets)
+MMOCR implements **distributed** testing with `MMDistributedDataParallel`. (Please refer to [dataset.md](dataset.md) to prepare your datasets)
 
 #### Test with Single/Multiple GPUs
 
@@ -78,7 +78,7 @@ You can check [slurm_test.sh](https://github.com/open-mmlab/mmocr/blob/master/to
 
 ## Train a Model
 
-MMOCR implements **distributed** training with `MMDistributedDataParallel`. (Please refer to [datasets.md](datasets.md) to prepare your datasets)
+MMOCR implements **distributed** training with `MMDistributedDataParallel`. (Please refer to [dataset.md](dataset.md) to prepare your datasets)
 
 All outputs (log files and checkpoints) will be saved to a working directory specified by `work_dir` in the config file.
 

docs/index.rst

@@ -23,7 +23,7 @@ Welcome to MMOCR's documentation!
    :maxdepth: 2
    :caption: Datasets
 
-   datasets.md
+   dataset.md
 
 .. toctree::
    :maxdepth: 2

docs/install.md

@@ -129,7 +129,7 @@ docker run --gpus all --shm-size=8g -it -v {DATA_DIR}:/mmocr/data mmocr
 
 ## Prepare Datasets
 
-It is recommended to symlink the dataset root to `mmocr/data`. Please refer to [datasets.md](datasets.md) to prepare your datasets.
+It is recommended to symlink the dataset root to `mmocr/data`. Please refer to [dataset.md](dataset.md) to prepare your datasets.
 If your folder structure is different, you may need to change the corresponding paths in config files.
 
 The `mmocr` folder is organized as follows:

docs/stats.py

@@ -85,7 +85,7 @@ modelzoo = f"""
 * Number of papers: {len(allpapers)}
 {countstr}
 
-For supported datasets, see [datasets overview](datasets.md).
+For supported datasets, see [datasets overview](dataset.md).
 
 {msglist}
 """