Merge pull request #125 from SamitHuang/main

update readme

Author: SamitHuang

README.md

@@ -110,22 +110,6 @@ To train the model, please run
 python tools/train.py --config configs/det/dbnet/db_r50_icdar15.yaml
 ```
 
-To train in distributed mode, please run
-
-```shell
-# Distributed training on Ascends
-mpirun --allow-run-as-root -n 8 python tools/train.py --config configs/det/dbnet/db_r50_icdar15.yaml
-```
-
-```shell
-# Distributed training on GPUs
-export CUDA_VISIBLE_DEVICES=0,1
-# n is the number of GPUs
-mpirun --allow-run-as-root -n 2 python tools/train.py --config configs/det/dbnet/db_r50_icdar15.yaml
-```
-> Notes: please ensure the arg `distribute` in yaml file is set True
-
-
 The training result (including checkpoints, per-epoch performance and curves) will be  saved in the directory parsed by the arg `ckpt_save_dir`.
 
 #### 4. Evaluation
@@ -194,12 +178,7 @@ Optionally, change `num_workers` according to the cores of CPU, and change `dist
 
 #### 3. Training
 
-To train the model, please run 
-
-``` shell 
-# train crnn on MJ+ST dataset
-python tools/train.py --config configs/rec/crnn/crnn_resnet34.yaml
-```
+We will use distributed training for the large LMDB dataset. 
 
 To train in distributed mode, please run