188 lines
4.2 KiB
Markdown
188 lines
4.2 KiB
Markdown
# Multiple YOLO inferences
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How to use multiples GIE's on DeepStream
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##
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1. Download [my native folder](https://github.com/marcoslucianops/DeepStream-Yolo/tree/master/native), rename to yolo and move to your deepstream/sources folder.
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2. Make a folder, in deepstream/sources/yolo directory, named pgie (where you will put files of primary inference).
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3. Make a folder, for each secondary inference, in deepstream/sources/yolo directory, named sgie* (* = 1, 2, 3, etc.; depending on the number of secondary inferences; where you will put files of others inferences).
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4. Copy and remane each obj.names file to labels.txt in each inference directory (pgie, sgie*), according each inference type.
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5. Copy your yolo.cfg and yolo.weights files to each inference directory (pgie, sgie*), according each inference type.
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6. Move nvdsinfer_custom_impl_Yolo folder and config_infer_primary.txt file to each inference directory (pgie, sgie*; for sgie's, rename config_infer_primary to config_infer_secondary*; * = 1, 2, 3, etc.)
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7. Edit DeepStream for your custom model, according each yolo.cfg file: https://github.com/marcoslucianops/DeepStream-Yolo/blob/master/customModels.md
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**In example folder, on this repository, have all example files to multiple YOLO inferences.**
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##
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### Editing Makefile
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To compile nvdsinfer_custom_impl_Yolo without errors is necessary to edit Makefile (line 34), in nvdsinfer_custom_impl_Yolo folder in each inference directory.
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```
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CFLAGS+= -I../../includes -I/usr/local/cuda-$(CUDA_VER)/include
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```
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To:
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```
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CFLAGS+= -I../../../includes -I/usr/local/cuda-$(CUDA_VER)/include
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```
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##
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### Compiling edited models
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1. Check your CUDA version (nvcc --version)
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2. Go to inference directory.
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3. Type command (example for CUDA 10.2 version):
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```
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CUDA_VER=10.2 make -C nvdsinfer_custom_impl_Yolo
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```
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**Do this for each GIE!**
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##
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### Add secondary-gie to deepstream_app_config after primary-gie
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Example for 1 secondary-gie (2 inferences):
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```
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[secondary-gie0]
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enable=1
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gpu-id=0
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gie-unique-id=2
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# If you want secodary inference operate on specified GIE id (gie-unique-id you want to operate: 1, 2, etc; comment it if you don't want to use)
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operate-on-gie-id=1
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# 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)
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operate-on-class-ids=0
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nvbuf-memory-type=0
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config-file=sgie1/config_infer_secondary1.txt
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```
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Example for 2 secondary-gie (3 inferences):
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```
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[secondary-gie0]
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enable=1
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gpu-id=0
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gie-unique-id=2
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operate-on-gie-id=1
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operate-on-class-ids=0
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nvbuf-memory-type=0
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config-file=sgie1/config_infer_secondary1.txt
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[secondary-gie1]
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enable=1
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gpu-id=0
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gie-unique-id=3
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operate-on-gie-id=1
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operate-on-class-ids=0
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nvbuf-memory-type=0
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config-file=sgie2/config_infer_secondary2.txt
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```
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Note: remember to edit primary-gie
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```
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[primary-gie]
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enable=1
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gpu-id=0
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gie-unique-id=1
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nvbuf-memory-type=0
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config-file=config_infer_primary.txt
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```
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to
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```
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[primary-gie]
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enable=1
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gpu-id=0
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gie-unique-id=1
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nvbuf-memory-type=0
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config-file=pgie/config_infer_primary.txt
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```
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##
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### Editing config_infer
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* Edit path of config (config_infer_primary, config_infer_secondary1, etc.) files
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Example for primary
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```
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custom-network-config=pgie/yolo.cfg
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```
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Example for secondary1
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```
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custom-network-config=sgie1/yolo.cfg
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```
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Example for secondary2
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```
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custom-network-config=sgie2/yolo.cfg
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```
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##
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* Edit gie-unique-id
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Example for primary
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```
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gie-unique-id=1
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process-mode=1
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```
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Example for secondary1
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```
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gie-unique-id=2
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process-mode=2
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```
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Example for secondary2
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```
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gie-unique-id=3
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process-mode=2
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```
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##
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* Edit batch-size
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Example for primary
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```
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# Number of sources
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batch-size=1
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```
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Example for all secondary:
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```
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batch-size=16
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```
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##
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* If you want secodary inference operate on specified GIE id (gie-unique-id you want to operate: 1, 2, etc.)
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```
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operate-on-gie-id=1
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```
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##
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* 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.)
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```
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operate-on-class-ids=0
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```
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### Testing model
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To run your custom YOLO model, use this command
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```
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deepstream-app -c deepstream_app_config.txt
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```
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**During test process, engine file will be generated. When engine build process is done, move engine file to respective GIE folder (pgie, sgie1, etc.)**
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