[Enhance] Update ckpt filename in docs (#3795)

* [Enhance] Update ckpt file name in docs

* fixed config path

docs/getting_started.md

@@ -82,7 +82,7 @@ Assume that you have already downloaded the checkpoints to the directory `checkp
 
    ```shell
    python tools/test.py configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py \
-       checkpoints/faster_rcnn_r50_fpn_1x_20181010-3d1b3351.pth \
+       checkpoints/faster_rcnn_r50_fpn_1x_coco_20200130-047c8118.pth \
        --show
    ```
 
@@ -90,7 +90,7 @@ Assume that you have already downloaded the checkpoints to the directory `checkp
 
    ```shell
    python tools/test.py configs/faster_rcnn/faster_rcnn_r50_fpn_1x.py \
-       checkpoints/faster_rcnn_r50_fpn_1x_20181010-3d1b3351.pth \
+       checkpoints/faster_rcnn_r50_fpn_1x_coco_20200130-047c8118.pth \
        --show-dir faster_rcnn_r50_fpn_1x_results
    ```
 
@@ -105,8 +105,8 @@ Assume that you have already downloaded the checkpoints to the directory `checkp
 4. Test Mask R-CNN with 8 GPUs, and evaluate the bbox and mask AP.
 
    ```shell
-   ./tools/dist_test.sh configs/mask_rcnn_r50_fpn_1x_coco.py \
-       checkpoints/mask_rcnn_r50_fpn_1x_20181010-069fa190.pth \
+   ./tools/dist_test.sh configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.py \
+       checkpoints/mask_rcnn_r50_fpn_1x_coco_20200205-d4b0c5d6.pth \
        8 --out results.pkl --eval bbox segm
    ```
 
@@ -114,7 +114,7 @@ Assume that you have already downloaded the checkpoints to the directory `checkp
 
    ```shell
    ./tools/dist_test.sh configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.py \
-       checkpoints/mask_rcnn_r50_fpn_1x_20181010-069fa190.pth \
+       checkpoints/mask_rcnn_r50_fpn_1x_coco_20200205-d4b0c5d6.pth \
        8 --out results.pkl --eval bbox segm --eval-options "classwise=True"
    ```
 
@@ -122,7 +122,7 @@ Assume that you have already downloaded the checkpoints to the directory `checkp
 
    ```shell
    ./tools/dist_test.sh configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.py \
-       checkpoints/mask_rcnn_r50_fpn_1x_20181010-069fa190.pth \
+       checkpoints/mask_rcnn_r50_fpn_1x_coco_20200205-d4b0c5d6.pth \
        8 --format-only --eval-options "jsonfile_prefix=./mask_rcnn_test-dev_results"
    ```
 
@@ -149,8 +149,8 @@ python demo/image_demo.py ${IMAGE_FILE} ${CONFIG_FILE} ${CHECKPOINT_FILE} [--dev
 Examples:
 
 ```shell
-python demo/image_demo.py demo/demo.jpg configs/faster_rcnn_r50_fpn_1x_coco.py \
-    checkpoints/faster_rcnn_r50_fpn_1x_20181010-3d1b3351.pth --device cpu
+python demo/image_demo.py demo/demo.jpg configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py \
+    checkpoints/faster_rcnn_r50_fpn_1x_coco_20200130-047c8118.pth --device cpu
 ```
 
 ### Webcam demo
@@ -164,8 +164,8 @@ python demo/webcam_demo.py ${CONFIG_FILE} ${CHECKPOINT_FILE} [--device ${GPU_ID}
 Examples:
 
 ```shell
-python demo/webcam_demo.py configs/faster_rcnn_r50_fpn_1x_coco.py \
-    checkpoints/faster_rcnn_r50_fpn_1x_20181010-3d1b3351.pth
+python demo/webcam_demo.py configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py \
+    checkpoints/faster_rcnn_r50_fpn_1x_coco_20200130-047c8118.pth
 ```
 
 
@@ -179,7 +179,7 @@ from mmdet.apis import init_detector, inference_detector
 import mmcv
 
 config_file = 'configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py'
-checkpoint_file = 'checkpoints/faster_rcnn_r50_fpn_1x_20181010-3d1b3351.pth'
+checkpoint_file = 'checkpoints/faster_rcnn_r50_fpn_1x_coco_20200130-047c8118.pth'
 
 # build the model from a config file and a checkpoint file
 model = init_detector(config_file, checkpoint_file, device='cuda:0')
@@ -215,7 +215,7 @@ from mmdet.utils.contextmanagers import concurrent
 
 async def main():
     config_file = 'configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py'
-    checkpoint_file = 'checkpoints/faster_rcnn_r50_fpn_1x_20181010-3d1b3351.pth'
+    checkpoint_file = 'checkpoints/faster_rcnn_r50_fpn_1x_coco_20200130-047c8118.pth'
     device = 'cuda:0'
     model = init_detector(config_file, checkpoint=checkpoint_file, device=device)
 
@@ -297,7 +297,7 @@ If you run MMDetection on a cluster managed with [slurm](https://slurm.schedmd.c
 Here is an example of using 16 GPUs to train Mask R-CNN on the dev partition.
 
 ```shell
-GPUS=16 ./tools/slurm_train.sh dev mask_r50_1x configs/mask_rcnn_r50_fpn_1x_coco.py /nfs/xxxx/mask_rcnn_r50_fpn_1x
+GPUS=16 ./tools/slurm_train.sh dev mask_r50_1x configs/mask_rcnn/mask_rcnn_r50_fpn_1x_coco.py /nfs/xxxx/mask_rcnn_r50_fpn_1x
 ```
 
 You can check [slurm_train.sh](https://github.com/open-mmlab/mmdetection/blob/master/tools/slurm_train.sh) for full arguments and environment variables.