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jaskiratsingh2000 / Research-Scalable-Vehicle-Detection-on-Edge-Devices

Research project tracker: Scalable Vehicle Detection on Edge Devices
MIT License
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[Testing] Running custom trained YOLO Object Detection on Google Collab #4

Closed jaskiratsingh2000 closed 3 years ago

jaskiratsingh2000 commented 3 years ago

I am running the custom trained object detection YOLO on Google Colab but I gets the following error:

nvcc -gencode arch=compute_30,code=sm_30 -gencode arch=compute_35,code=sm_35 -gencode arch=compute_50,code=[sm_50,compute_50] -gencode arch=compute_52,code=[sm_52,compute_52] -Iinclude/ -Isrc/ -DOPENCV pkg-config --cflags opencv -DGPU -I/usr/local/cuda/include/ -DCUDNN --compiler-options "-Wall -Wno-unused-result -Wno-unknown-pragmas -Wfatal-errors -fPIC -Ofast -DOPENCV -DGPU -DCUDNN" -c ./src/convolutional_kernels.cu -o obj/convolutional_kernels.o nvcc fatal : Unsupported gpu architecture 'compute_30' Makefile:92: recipe for target 'obj/convolutional_kernels.o' failed make: *** [obj/convolutional_kernels.o] Error 1

jaskiratsingh2000 commented 3 years ago

I was able to run this successfully on the Googel Collab