Update ReadMe

README.md

@@ -21,11 +21,11 @@ OpenGait is a flexible and extensible gait recognition project provided by the [
 |                                                   [GaitPart(CVPR2020)](http://home.ustc.edu.cn/~saihui/papers/cvpr2020_gaitpart.pdf)                                                    | 96.1(96.2) | 90.7(91.5) | 78.7(78.7) | [gaitpart.yaml](config/gaitpart.yaml)                                                        |   64x44    |      22s       |      1.20M       |
 |                                                        [GLN*(ECCV2020)](http://home.ustc.edu.cn/~saihui/papers/eccv2020_gln.pdf)                                                        | 96.1(95.6) | 92.5(92.0) | 80.4(77.2) | [gln_phase1.yaml](config/gln/gln_phase1.yaml), [gln_phase2.yaml](config/gln/gln_phase2.yaml) |   128x88   |      14s       | 9.46M / 15.6214M |
 | [GaitGL(ICCV2021)](https://openaccess.thecvf.com/content/ICCV2021/papers/Lin_Gait_Recognition_via_Effective_Global-Local_Feature_Representation_and_Local_Temporal_ICCV_2021_paper.pdf) | 97.5(97.4) | 95.1(94.5) | 83.5(83.6) | [gaitgl.yaml](config/gaitgl.yaml)                                                            |   64x44    |      31s       |      3.10M       |
+The results in the parentheses are mentioned in the papers
 
 
 **Note**:
 - All the models were tested on [CASIA-B](http://www.cbsr.ia.ac.cn/english/Gait%20Databases.asp) (Rank@1, excluding identical-view cases).
-- The results in the parentheses are mentioned in the papers
 - The shown result of GLN is implemented without compact block. 
 - Only 2 RTX6000 are used during the inference phase.
 - The results on [OUMVLP](http://www.am.sanken.osaka-u.ac.jp/BiometricDB/GaitMVLP.html) will be released soon.
@@ -35,6 +35,9 @@ It's inference process just cost about 90 secs(Baseline & 8 RTX6000).
 # Get Started
 ## Installation
 1. clone this repo.
+    ```
+    git clone https://github.com/ShiqiYu/OpenGait.git
+    ```
 2. Install dependenices:
     - pytorch >= 1.6
     - torchvision
@@ -42,6 +45,17 @@ It's inference process just cost about 90 secs(Baseline & 8 RTX6000).
     - tensorboard
     - opencv-python
     - tqdm
+    
+    Install dependenices by [Anaconda](https://conda.io/projects/conda/en/latest/user-guide/install/index.html):
+    ```
+    conda install tqdm pyyaml tensorboard opencv
+    conda install pytorch==1.6.0 torchvision -c pytorch
+    ```    
+    Or, Install dependenices by pip:
+    ```
+    pip install tqdm pyyaml tensorboard opencv-python
+    pip install torch==1.6.0 torchvision==0.7.0
+    ```
 ## Prepare dataset
 See [prepare dataset](doc/prepare_dataset.md).
 

doc/prepare_dataset.md

@@ -2,7 +2,9 @@
 Suppose you have downloaded the original dataset, we need to preprocess the data and save it as pickle file. Remember to set your path to the root of processed dataset in [config/*.yaml](config/).
 
 ## Preprocess
-**CASIA-B**
+**CASIA-B** 
+
+Download URL: http://www.cbsr.ia.ac.cn/GaitDatasetB-silh.zip
 
 - Original
     ```