thebears/deepstream_yolo
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Revert "Update multipleInferences.md"

Browse Source 
This reverts commit 479d45ed94.
This commit is contained in:
Marcos Luciano
2020-12-31 01:19:50 -03:00
parent 9de43946b9
commit 665d2f55e7
1 changed files with 6 additions and 6 deletions
Download Patch File Download Diff File Expand all files Collapse all files

12
multipleInferences.md
View File

@@ -4,10 +4,10 @@ How to use multiples GIE's on DeepStream
##
1. Download [my native folder](https://github.com/marcoslucianops/DeepStream-Yolo/tree/master/native), rename to yolo and move to your deepstream/sources folder.
2. Copy each obj.names to deepstream/sources/yolo directory, renaming file to labels_* .txt (* = pgie/sgie1/sgie2/etc), according to each inference type.
3. Copy each yolo.cfg and yolo.weights files to deepstream/sources/yolo directory, renaming files to yolo_* .cfg and yolo_* .weights (* = pgie/sgie1/sgie2/etc), according to each inference type.
4. Make a copy of config_infer_primary.txt file and rename it to config_infer_secondary* .txt (* = 1/2/3/etc), according to inference order.
5. Edit DeepStream for your custom model, according to each yolo_* .cfg (* = pgie/sgie1/sgie2/etc) file: https://github.com/marcoslucianops/DeepStream-Yolo/blob/master/customModels.md
2. Copy each obj.names to deepstream/sources/yolo directory, renaming file to labels_*.txt (* = pgie/sgie1/sgie2/etc), according to each inference type.
3. Copy each yolo.cfg and yolo.weights files to deepstream/sources/yolo directory, renaming files to yolo_*.cfg and yolo_*.weights (* = pgie/sgie1/sgie2/etc), according to each inference type.
4. Make a copy of config_infer_primary.txt file and rename it to config_infer_secondary*.txt (* = 1/2/3/etc), according to inference order.
5. Edit DeepStream for your custom model, according to each yolo_*.cfg (* = pgie/sgie1/sgie2/etc) file: https://github.com/marcoslucianops/DeepStream-Yolo/blob/master/customModels.md
**In example folder, on this repository, have all example files to multiple YOLO inferences.**
@@ -34,7 +34,7 @@ enable=1
gpu-id=0
gie-unique-id=2
operate-on-gie-id=1
# If you want secodary inference operate on specified class ids of GIE (class ids you want to operate: 1, 1;2, 2;3;4, etc; comment it if you don't want to use)
# If you want secodary inference operate on specified class ids of GIE (class ids you want to operate: 1, 1;2, 2;3;4, 3 etc; comment it if you don't want to use)
operate-on-class-ids=0
nvbuf-memory-type=0
config-file=config_infer_secondary1.txt
@@ -144,4 +144,4 @@ To run your custom YOLO model, use this command
deepstream-app -c deepstream_app_config.txt
```
**During test process, engine file will be generated. When engine build process is done, rename engine file according to each configured engine name pgie/sgie1/sgie2/etc) in config_infer file.**
** During test process, engine file will be generated. When engine build process is done, rename engine file according to each configured engine name pgie/sgie1/sgie2/etc) in config_infer file.