add JSON link to docs

Author: bearpaw

TRAINING.md

@@ -31,6 +31,8 @@ images`
   rm -rf *.zip
   ```
 
+  - Download the [coco_annotations_2014.json](https://drive.google.com/open?id=1jrxis4ujrLlkwoD2GOdv3PGzygpQ04k7) and [coco_annotations_2017.json](https://drive.google.com/open?id=1YuzpScAfzemwZqUuZBrbBZdoplXEqUse) in our JSON format, and save it to `./data/mscoco`
+
 - You are good to go!
 
 ### Leeds Sports Pose (LSP)
@@ -43,6 +45,9 @@ images`
   unzip lsp_dataset.zip -d lsp_dataset
   unzip lspet_dataset.zip -d lspet_dataset
   ```
+
+  - Download the [LEEDS_annotations.json](https://drive.google.com/open?id=1GZxlTLuMfA3VRvz2jyv8fhJDqElNrgKS) in our JSON format, and save it to `./data/lsp`
+
 - You are good to go!
 
 ## Training

data/mscoco/README.md

@@ -11,12 +11,3 @@ To train on coco (single person pose estimation), place the following files in t
 
 ### Prepare `json` annotation file
 Please edit `year = 2017; % 2014 or 2017 ` in [gen_coco.m](https://github.com/bearpaw/pytorch-pose/blob/master/miscs/gen_coco.m) to generate the corresponding annotation file (coco2014 or coco2017).
-
-### Training recipes
-
-```
-CUDA_VISIBLE_DEVICES=1 python example/mscoco.py \
---checkpoint checkpoint/mscoco/hg-s1-b1 \
--s 1 \
--b 1
-```