Update README.md

README.md

@@ -2,7 +2,7 @@
 
 <img width="586" alt="스크린샷 2021-07-04 오후 4 11 51" src="https://user-images.githubusercontent.com/77657524/124376591-b312b780-dce2-11eb-80ad-9129d6f5eedb.png">
 
-the Pytorch, JAX/Flax based code imlementation of this paper : https://arxiv.org/abs/2104.00677
+the Pytorch, JAX/Flax based code implementation of this paper : https://arxiv.org/abs/2104.00677
 The model gives the 3D neural scene representation (NeRF: Neural Radiances Field) estimated from a few images. 
 Which is based on extracting the semantic information using a pre-trained visual encoder such as CLIP, a Vision Transformer
 
@@ -51,7 +51,7 @@ Our JAX/Flax implementation currently supports:
 
 ## Installation
 
-```
+```bash
 # Clone the repo
 svn export https://github.com/google-research/google-research/trunk/jaxnerf
 # Create a conda environment, note you can use python 3.6-3.8 as
@@ -80,7 +80,7 @@ python -m train \
   --train_dir=/PATH/TO/THE/PLACE/YOU/WANT/TO/SAVE/CHECKPOINTS \
   --config=configs/CONFIG_YOU_LIKE
 ```
-you can toggle the semantic loss by “use_semantic_loss” in cofiguration files.
+You can toggle the semantic loss by “use_semantic_loss” in configuration files.
 
 ## Rendered examples by 8-shot learned Diet-NeRF
 - Lego