add pertrain model adress

README.md

@@ -50,6 +50,8 @@ mmcv-full：1.6.1+gitdebbc80.dtk2210
 
   https://pan.baidu.com/s/1NCqL7JVoFZO6D131zGls-A#list/path=%2F&parentPath=%2Fsharelink3725532333-553839935448680 密码：07ka
 
+预训练模型文件:[resnet50_8xb32_in1k_20210831-ea4938fc.pth](https://download.openmmlab.com/mmclassification/v0/resnet/resnet50_8xb32_in1k_20210831-ea4938fc.pth)
+
 ### 数据预处理
 
 进入工程目录后，创建data子目录，进入data目录，创建软链接指向数据集实际路径：

train.sh

 #!/usr/bin/env bash
 export HIP_VISIBLE_DEVICES=0,1,2,3
-./tools/dist_train.sh configs/recognition/tsm/tsm_r50_1x1x8_50e_sthv2_rgb.py 4 --validate --seed 0 --cfg-options model.backbone.pretrained=/jiutiandata/7.4/resnet50_8xb32_in1k_20210831-ea4938fc.pth optimizer.lr=0.005 data.videos_per_gpu=8 data.val_dataloader.videos_per_gpu=16 data.test_dataloader.videos_per_gpu=3 data.workers_per_gpu=4 evaluation.interval=1 --log_dir pid.txt 2>&1 | tee tsm_dcu_`date +%Y%m%d%H%M%S`.log
+./tools/dist_train.sh configs/recognition/tsm/tsm_r50_1x1x8_50e_sthv2_rgb.py 4 --validate --seed 0 --cfg-options model.backbone.pretrained=./resnet50_8xb32_in1k_20210831-ea4938fc.pth optimizer.lr=0.005 data.videos_per_gpu=8 data.val_dataloader.videos_per_gpu=16 data.test_dataloader.videos_per_gpu=3 data.workers_per_gpu=4 evaluation.interval=1 --log_dir pid.txt 2>&1 | tee tsm_dcu_`date +%Y%m%d%H%M%S`.log
 

train_single.sh

 #!/usr/bin/env bash
 export HIP_VISIBLE_DEVICES=0
-./tools/dist_train.sh configs/recognition/tsm/tsm_r50_1x1x8_50e_sthv2_rgb.py 1 --validate --seed 0 --cfg-options model.backbone.pretrained=/jiutiandata/7.4/resnet50_8xb32_in1k_20210831-ea4938fc.pth optimizer.lr=0.005 data.videos_per_gpu=8 data.val_dataloader.videos_per_gpu=16 data.test_dataloader.videos_per_gpu=3 data.workers_per_gpu=4 evaluation.interval=1 --log_dir pid.txt 2>&1 | tee tsm_dcu_`date +%Y%m%d%H%M%S`.log
+./tools/dist_train.sh configs/recognition/tsm/tsm_r50_1x1x8_50e_sthv2_rgb.py 1 --validate --seed 0 --cfg-options model.backbone.pretrained=./resnet50_8xb32_in1k_20210831-ea4938fc.pth optimizer.lr=0.005 data.videos_per_gpu=8 data.val_dataloader.videos_per_gpu=16 data.test_dataloader.videos_per_gpu=3 data.workers_per_gpu=4 evaluation.interval=1 --log_dir pid.txt 2>&1 | tee tsm_dcu_`date +%Y%m%d%H%M%S`.log