mmr/tkDNN
Archived
1
0
Fork 0
Code Issues 46 Pull Requests 12 Releases 4 Activity

Update README.md

Browse Source
This commit is contained in:
Biparnak Roy
2020-07-18 05:29:33 +05:30
committed by GitHub
parent 7866bf66d7
commit 8db97300e1
1 changed files with 2 additions and 2 deletions
Download Patch File Download Diff File Expand all files Collapse all files
README.md
+2 -2
View File
@@ -203,8 +203,8 @@ where
* ```<kind-of-network>``` is the type of network. Thee types are currently supported: ```y``` (YOLO family), ```c``` (CenterNet family) and ```m``` (MobileNet-SSD family) * ```<kind-of-network>``` is the type of network. Thee types are currently supported: ```y``` (YOLO family), ```c``` (CenterNet family) and ```m``` (MobileNet-SSD family)
* ```<number-of-classes>```is the number of classes the network is trained on * ```<number-of-classes>```is the number of classes the network is trained on
* ```<n-batches>``` number of batches to use in inference (N.B. you should first export TKDNN_BATCHSIZE to the required n_batches and create again the rt file for the network). * ```<n-batches>``` number of batches to use in inference (N.B. you should first export TKDNN_BATCHSIZE to the required n_batches and create again the rt file for the network).
* ```<show-flag>``` if set to 0 the demo will not show the visualization but save the video into result.mp4 (if n-batches ==1) * ```<show-flag>``` if set to 0 the demo will not show the visualization.
* ```<save-flag>``` if set to 0 the results will be saved and if set to 1 then the results will not be saved. * ```<save-flag>``` if set to 0 the results will be saved into result.mp4 (if n-batches ==1) and if set to 1 then the results will not be saved.
* ```<http-stream-port>``` if set to 0 then http stream will be off but if port number is given eg: 8090 then the stream can seen in ```https://localhost:8090``` * ```<http-stream-port>``` if set to 0 then http stream will be off but if port number is given eg: 8090 then the stream can seen in ```https://localhost:8090```
N.b. By default it is used FP32 inference N.b. By default it is used FP32 inference