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train yolov3-tiny error #2056
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@AlexeyAB makefile: set GPU=1 and CUDNN=1 to speedup on GPUset CUDNN_HALF=1 to further speedup 3 x times (Mixed-precision using Tensor Cores) on GPU Tesla V100, Titan V, DGX-2set AVX=1 and OPENMP=1 to speedup on CPU (if error occurs then set AVX=0)DEBUG=0 ARCH= -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] \-gencode arch=compute_61,code=[sm_61,compute_61]OS := $(shell uname) Tesla V100ARCH= -gencode arch=compute_61,code=[sm_61,compute_61] GeForce RTX 2080 Ti, RTX 2080, RTX 2070 Quadro RTX 8000, Quadro RTX 6000, Quadro RTX 5000 Tesla T4ARCH= -gencode arch=compute_75,code=[sm_75,compute_75]Jetson XAVIERARCH= -gencode arch=compute_72,code=[sm_72,compute_72]GTX 1080, GTX 1070, GTX 1060, GTX 1050, GTX 1030, Titan Xp, Tesla P40, Tesla P4ARCH= -gencode arch=compute_61,code=sm_61 -gencode arch=compute_61,code=compute_61GP100/Tesla P100 – DGX-1ARCH= -gencode arch=compute_60,code=sm_60For Jetson TX1, Tegra X1, DRIVE CX, DRIVE PX - uncomment:ARCH= -gencode arch=compute_53,code=[sm_53,compute_53]For Jetson Tx2 or Drive-PX2 uncomment:ARCH= -gencode arch=compute_62,code=[sm_62,compute_62]VPATH=./src/ ifeq ($(LIBSO), 1) CC=gcc ifeq ($(DEBUG), 1) CFLAGS+=$(OPTS) ifeq ($(OPENCV), 1) ifeq ($(OPENMP), 1) ifeq ($(GPU), 1) ifeq ($(CUDNN), 1) ifeq ($(CUDNN_HALF), 1) OBJ=http_stream.o gemm.o utils.o cuda.o convolutional_layer.o list.o image.o activations.o im2col.o col2im.o blas.o crop_layer.o dropout_layer.o maxpool_layer.o softmax_layer.o data.o matrix.o network.o connected_layer.o cost_layer.o parser.o option_list.o darknet.o detection_layer.o captcha.o route_layer.o writing.o box.o nightmare.o normalization_layer.o avgpool_layer.o coco.o dice.o yolo.o detector.o layer.o compare.o classifier.o local_layer.o swag.o shortcut_layer.o activation_layer.o rnn_layer.o gru_layer.o rnn.o rnn_vid.o crnn_layer.o demo.o tag.o cifar.o go.o batchnorm_layer.o art.o region_layer.o reorg_layer.o reorg_old_layer.o super.o voxel.o tree.o yolo_layer.o upsample_layer.o OBJS = all: obj backup results ifeq ($(LIBSO), 1)
obj: .PHONY: clean clean: error: 100: 644.027222, 542.847412 avg loss, 0.000000 rate, 2.199051 seconds, 6400 images Aborted (core dumped) |
gdb result: Thread 1 "darknet" received signal SIGABRT, Aborted. |
when i use -dont_show comand, its run ok |
when i train yolov3-tiny, appear error matrix_wrap.cpp:800: error: (-215:Assertion failed) (flags & FIXED_TYPE) != 0 in function 'type'. opencv version 3.4.3. please how to solve it @AlexeyAB
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