New updates
* readme.md updated * Added customModels.md * Added multipleInferences.md
This commit is contained in:
72
examples/multiple_inferences/deepstream_app_config.txt
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72
examples/multiple_inferences/deepstream_app_config.txt
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[application]
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enable-perf-measurement=1
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perf-measurement-interval-sec=5
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[tiled-display]
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enable=1
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rows=1
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columns=1
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width=1280
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height=720
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gpu-id=0
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nvbuf-memory-type=0
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[source0]
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enable=1
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type=3
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uri=rtsp://192.168.1.2/Streaming/Channels/101/httppreview
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num-sources=1
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gpu-id=0
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cudadec-memtype=0
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[sink0]
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enable=1
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type=2
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sync=0
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source-id=0
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gpu-id=0
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nvbuf-memory-type=0
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[osd]
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enable=1
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gpu-id=0
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border-width=1
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text-size=15
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text-color=1;1;1;1;
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text-bg-color=0.3;0.3;0.3;1
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font=Serif
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show-clock=0
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clock-x-offset=800
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clock-y-offset=820
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clock-text-size=12
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clock-color=1;0;0;0
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nvbuf-memory-type=0
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[streammux]
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gpu-id=0
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live-source=0
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batch-size=1
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batched-push-timeout=40000
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width=1920
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height=1080
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enable-padding=0
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nvbuf-memory-type=0
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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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[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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[tests]
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file-loop=0
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23
examples/multiple_inferences/pgie/config_infer_primary.txt
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23
examples/multiple_inferences/pgie/config_infer_primary.txt
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[property]
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gpu-id=0
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net-scale-factor=0.0039215697906911373
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model-color-format=0
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custom-network-config=yolo.cfg
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model-file=yolo.weights
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model-engine-file=model_b1_gpu0_fp16.engine
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labelfile-path=labels.txt
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batch-size=1
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network-mode=2
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num-detected-classes=2
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interval=0
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gie-unique-id=1
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process-mode=1
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network-type=0
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cluster-mode=4
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maintain-aspect-ratio=0
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parse-bbox-func-name=NvDsInferParseYolo
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custom-lib-path=nvdsinfer_custom_impl_Yolo/libnvdsinfer_custom_impl_Yolo.so
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engine-create-func-name=NvDsInferYoloCudaEngineGet
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[class-attrs-all]
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pre-cluster-threshold=0.25
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################################################################################
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# Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
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#
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# Permission is hereby granted, free of charge, to any person obtaining a
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# copy of this software and associated documentation files (the "Software"),
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# to deal in the Software without restriction, including without limitation
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# the rights to use, copy, modify, merge, publish, distribute, sublicense,
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# and/or sell copies of the Software, and to permit persons to whom the
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# Software is furnished to do so, subject to the following conditions:
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#
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# The above copyright notice and this permission notice shall be included in
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# all copies or substantial portions of the Software.
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#
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# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
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# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
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# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
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# DEALINGS IN THE SOFTWARE.
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#
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# Edited by Marcos Luciano
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# https://www.github.com/marcoslucianops
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################################################################################
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CUDA_VER?=
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ifeq ($(CUDA_VER),)
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$(error "CUDA_VER is not set")
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endif
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CC:= g++
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NVCC:=/usr/local/cuda-$(CUDA_VER)/bin/nvcc
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CFLAGS:= -Wall -std=c++11 -shared -fPIC -Wno-error=deprecated-declarations
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CFLAGS+= -I../../../includes -I/usr/local/cuda-$(CUDA_VER)/include
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LIBS:= -lnvinfer_plugin -lnvinfer -lnvparsers -L/usr/local/cuda-$(CUDA_VER)/lib64 -lcudart -lcublas -lstdc++fs
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LFLAGS:= -shared -Wl,--start-group $(LIBS) -Wl,--end-group
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INCS:= $(wildcard *.h)
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SRCFILES:= nvdsinfer_yolo_engine.cpp \
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nvdsparsebbox_Yolo.cpp \
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yoloPlugins.cpp \
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layers/convolutional_layer.cpp \
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layers/dropout_layer.cpp \
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layers/shortcut_layer.cpp \
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layers/route_layer.cpp \
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layers/upsample_layer.cpp \
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layers/maxpool_layer.cpp \
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layers/activation_layer.cpp \
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utils.cpp \
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yolo.cpp \
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yoloForward.cu
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TARGET_LIB:= libnvdsinfer_custom_impl_Yolo.so
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TARGET_OBJS:= $(SRCFILES:.cpp=.o)
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TARGET_OBJS:= $(TARGET_OBJS:.cu=.o)
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all: $(TARGET_LIB)
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%.o: %.cpp $(INCS) Makefile
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$(CC) -c -o $@ $(CFLAGS) $<
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%.o: %.cu $(INCS) Makefile
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$(NVCC) -c -o $@ --compiler-options '-fPIC' $<
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$(TARGET_LIB) : $(TARGET_OBJS)
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$(CC) -o $@ $(TARGET_OBJS) $(LFLAGS)
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clean:
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rm -rf $(TARGET_LIB)
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rm -rf $(TARGET_OBJS)
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@@ -0,0 +1,25 @@
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[property]
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gpu-id=0
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net-scale-factor=0.0039215697906911373
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model-color-format=0
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custom-network-config=yolo.cfg
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model-file=yolo.weights
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model-engine-file=model_b1_gpu0_fp16.engine
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labelfile-path=labels.txt
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batch-size=16
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network-mode=2
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num-detected-classes=10
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interval=0
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gie-unique-id=2
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process-mode=2
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#operate-on-gie-id=1
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#operate-on-class-ids=0
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network-type=0
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cluster-mode=4
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maintain-aspect-ratio=0
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parse-bbox-func-name=NvDsInferParseYolo
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custom-lib-path=nvdsinfer_custom_impl_Yolo/libnvdsinfer_custom_impl_Yolo.so
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engine-create-func-name=NvDsInferYoloCudaEngineGet
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[class-attrs-all]
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pre-cluster-threshold=0.25
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@@ -0,0 +1,71 @@
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################################################################################
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# Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
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#
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# Permission is hereby granted, free of charge, to any person obtaining a
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# copy of this software and associated documentation files (the "Software"),
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# to deal in the Software without restriction, including without limitation
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# the rights to use, copy, modify, merge, publish, distribute, sublicense,
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# and/or sell copies of the Software, and to permit persons to whom the
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# Software is furnished to do so, subject to the following conditions:
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#
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# The above copyright notice and this permission notice shall be included in
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# all copies or substantial portions of the Software.
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#
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# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
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# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
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# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
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# DEALINGS IN THE SOFTWARE.
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#
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# Edited by Marcos Luciano
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# https://www.github.com/marcoslucianops
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################################################################################
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CUDA_VER?=
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ifeq ($(CUDA_VER),)
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$(error "CUDA_VER is not set")
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endif
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CC:= g++
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NVCC:=/usr/local/cuda-$(CUDA_VER)/bin/nvcc
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CFLAGS:= -Wall -std=c++11 -shared -fPIC -Wno-error=deprecated-declarations
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CFLAGS+= -I../../../includes -I/usr/local/cuda-$(CUDA_VER)/include
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LIBS:= -lnvinfer_plugin -lnvinfer -lnvparsers -L/usr/local/cuda-$(CUDA_VER)/lib64 -lcudart -lcublas -lstdc++fs
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LFLAGS:= -shared -Wl,--start-group $(LIBS) -Wl,--end-group
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INCS:= $(wildcard *.h)
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SRCFILES:= nvdsinfer_yolo_engine.cpp \
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nvdsparsebbox_Yolo.cpp \
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yoloPlugins.cpp \
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layers/convolutional_layer.cpp \
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layers/dropout_layer.cpp \
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layers/shortcut_layer.cpp \
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layers/route_layer.cpp \
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layers/upsample_layer.cpp \
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layers/maxpool_layer.cpp \
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layers/activation_layer.cpp \
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utils.cpp \
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yolo.cpp \
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yoloForward.cu
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TARGET_LIB:= libnvdsinfer_custom_impl_Yolo.so
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TARGET_OBJS:= $(SRCFILES:.cpp=.o)
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TARGET_OBJS:= $(TARGET_OBJS:.cu=.o)
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all: $(TARGET_LIB)
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%.o: %.cpp $(INCS) Makefile
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$(CC) -c -o $@ $(CFLAGS) $<
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%.o: %.cu $(INCS) Makefile
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$(NVCC) -c -o $@ --compiler-options '-fPIC' $<
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$(TARGET_LIB) : $(TARGET_OBJS)
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$(CC) -o $@ $(TARGET_OBJS) $(LFLAGS)
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clean:
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rm -rf $(TARGET_LIB)
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rm -rf $(TARGET_OBJS)
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Reference in New Issue
Block a user