update google drive link

README.md

@@ -46,23 +46,32 @@
 - Download [resnet101](https://gist.github.com/flyyufelix/65018873f8cb2bbe95f429c474aa1294) model and save it as `data/resnet101_weights_tf.h5`.   
 Note: all the models here use channel_last dim order.
 - Train all-in-one network from scratch  
-`python train.py --category all --epochs 30 --network v11 --batchSize 3 --gpuID 2`  
-The trained model and log will be put under `trained_models/all/xxxx`, i.e `trained_models/all/2018_05_23_15_18_07/`  
-The evaluation  will run for each epoch and details saved to `val.log`
+```
+python train.py --category all --epochs 30 --network v11 --batchSize 3 --gpuID 2
+```
+- The trained model and log will be put under `trained_models/all/xxxx`, i.e `trained_models/all/2018_05_23_15_18_07/`  
+- The evaluation  will run for each epoch and details saved to `val.log`
 - Resume training from a specific model.  
-`python train.py --gpuID 2 --category all --epochs 30 --network v11 --batchSize 3 --resume True --resumeModel /path/to/model/start/with --initEpoch 6`
+```
+python train.py --gpuID 2 --category all --epochs 30 --network v11 --batchSize 3 --resume True --resumeModel /path/to/model/start/with --initEpoch 6
+```
 
 ## How to test and generate submission
 - Run test and generate submission
 Below command search the best score from `modelpath` and use that to generate submission  
-`python test.py --gpuID 2 --modelpath ../../trained_models/all/xxx --outpath ../../submission/2018_04_19/ --augment True`  
+```
+python test.py --gpuID 2 --modelpath ../../trained_models/all/xxx --outpath ../../submission/2018_04_19/ --augment True
+```
 The submission will be saved as `submission.csv`
 
 ## How to run demo
-- Download the pre trained weights from [BaiduDisk](https://pan.baidu.com/s/1t7fB5wnRfW1Vny0gw7xUDQ), password `1ae2`. Save it somewhere, i.e `trained_models/all/fashion_ai_keypoint_weights_epoch28.hdf5`
+- Download the pre trained weights from [BaiduDisk](https://pan.baidu.com/s/1t7fB5wnRfW1Vny0gw7xUDQ) (password `1ae2`) or [GoogleDrive](https://drive.google.com/open?id=1VY-AO2F1XMQLBjEZjy6CrOSIPWWaHUGr)
+- Save it somewhere, i.e `trained_models/all/fashion_ai_keypoint_weights_epoch28.hdf5`
 - Or use your own trained model.
 - Run demo and the cloth with keypoints marked will be displayed.   
-`python demo.py --gpuID 2 --modelfile ../../trained_models/all/fashion_ai_keypoint_weights_epoch28.hdf5`
+```
+python demo.py --gpuID 2 --modelfile ../../trained_models/all/fashion_ai_keypoint_weights_epoch28.hdf5
+```
 
 ## Reference
 - Resnet 101 Keras : https://github.com/statech/resnet