@@ -93,7 +93,7 @@ After the ResNet50_vd inference model is converted, there will be additional fol
|- serving_client_conf.stream.prototxt
```
Once you have the deploy model file, you need to change the alias name in serving_server_conf.prototxt: Change 'alias_name' in 'feed_var' to 'image', change 'alias_name' in 'fetch_var' to 'prediction',
Once you have the model file for deployment, you need to change the alias name in `serving_server_conf.prototxt`: Change `alias_name` in `feed_var` to `image`, change `alias_name` in `fetch_var` to `prediction`,
The modified serving_server_conf.prototxt file is as follows:
```
feed_var {
...
...
@@ -149,15 +149,12 @@ fetch_var {
After successfully running, the predicted result of the model will be printed in the cmd window. An example of the result is:
![](./imgs/results.png)
Adjust the number of concurrency in config.yml to get the largest QPS. Generally, the number of concurrent detection and recognition is 2:1
Adjust the number of concurrency in config.yml to get the largest QPS.
```
det:
op:
concurrency: 8
...
rec:
concurrency: 4
...
```
Multiple service requests can be sent at the same time if necessary.