Open oreilc16 opened 6 years ago
Hi,
I tried compiling darknet-cpp with GPU=1, CUDNN=1, OPENCV=1, DEBUG=1. I get the following error:
g++ -Wno-unused-result -std=c++11 -DOPENCV `pkg-config --cflags opencv` -DGPU -I/usr/local/cuda/include/ -I"/usr/local/lib/restbed/distribution/include/" -DCUDNN -Wno-write-strings -Wall -O0 -g -DOPENCV -DGPU -DCUDNN -c ./src/convolutional_layer.c -o obj-cpp/convolutional_layer.o ./src/convolutional_layer.c: In function 'void cudnn_convolutional_setup(layer*)': ./src/convolutional_layer.c:145:117: error: too few arguments to function 'cudnnStatus_t cudnnSetConvolution2dDescriptor(cudnnConvolutionDescriptor_t, int, int, int, int, int, int, cudnnConvolutionMode_t, cudnnDataType_t)' lution2dDescriptor(l->convDesc, l->pad, l->pad, l->stride, l->stride, 1, 1, CUDNN_CROSS_CORRELATION); ^ In file included from ./src/cuda.h:15:0, from ./src/convolutional_layer.h:4, from ./src/convolutional_layer.c:1: /usr/local/cuda/include/cudnn.h:500:27: note: declared here cudnnStatus_t CUDNNWINAPI cudnnSetConvolution2dDescriptor( cudnnConvolutionDescriptor_t convDesc, ^ Makefile:114: recipe for target 'obj-cpp/convolutional_layer.o' failed make: *** [obj-cpp/convolutional_layer.o] Error 1
I successfully compile with CUDNN=0. I then ran the following:
wget https://pjreddie.com/media/files/yolo.weights ./darknet-cpp detector test cfg/coco.data cfg/yolo.cfg yolo.weights data/dog.jpg
I get no detections in the image (as in no bounding box) have I the wrong weights downloaded?
usage: ./darknet-cpp <function> usage: ./darknet-cpp <function> Cannot load image "data/labels/32_0.png" Cannot load image "data/labels/33_0.png" Cannot load image "data/labels/34_0.png" Cannot load image "data/labels/35_0.png" Cannot load image "data/labels/36_0.png" .... .... 26 reorg / 2 26 x 26 x 512 -> 13 x 13 x2048 27 route 26 24 28 conv 1024 3 x 3 / 1 13 x 13 x3072 -> 13 x 13 x1024 29 conv 425 1 x 1 / 1 13 x 13 x1024 -> 13 x 13 x 425 30 detection Setup: net.n = 31 net.layers[0].batch = 1 Loading weights from yolo.weights...mj = 0, mn = 1, *(net->seen) = 32013312 load_convolutional_weights: l.n*l.c*l.size*l.size = 864 load_convolutional_weights: l.n*l.c*l.size*l.size = 18432 load_convolutional_weights: l.n*l.c*l.size*l.size = 73728 load_convolutional_weights: l.n*l.c*l.size*l.size = 8192 load_convolutional_weights: l.n*l.c*l.size*l.size = 73728 load_convolutional_weights: l.n*l.c*l.size*l.size = 294912 load_convolutional_weights: l.n*l.c*l.size*l.size = 32768 load_convolutional_weights: l.n*l.c*l.size*l.size = 294912 load_convolutional_weights: l.n*l.c*l.size*l.size = 1179648 load_convolutional_weights: l.n*l.c*l.size*l.size = 131072 load_convolutional_weights: l.n*l.c*l.size*l.size = 1179648 load_convolutional_weights: l.n*l.c*l.size*l.size = 131072 load_convolutional_weights: l.n*l.c*l.size*l.size = 1179648 load_convolutional_weights: l.n*l.c*l.size*l.size = 4718592 load_convolutional_weights: l.n*l.c*l.size*l.size = 524288 load_convolutional_weights: l.n*l.c*l.size*l.size = 4718592 load_convolutional_weights: l.n*l.c*l.size*l.size = 524288 load_convolutional_weights: l.n*l.c*l.size*l.size = 4718592 load_convolutional_weights: l.n*l.c*l.size*l.size = 9437184 load_convolutional_weights: l.n*l.c*l.size*l.size = 9437184 load_convolutional_weights: l.n*l.c*l.size*l.size = 28311552 load_convolutional_weights: l.n*l.c*l.size*l.size = 435200 Done! test_detector: layers = 13, 13, 5 data/dog.jpg: Predicted in 0.236138 seconds.
When using yolo-tiny I get the following:
wget https://pjreddie.com/media/files/tiny-yolo-voc.weights ./darknet-cpp detector test cfg/voc.data cfg/tiny-yolo-voc.cfg tiny-yolo-voc.weights data/dog.jpg
usage: ./darknet-cpp <function> usage: ./darknet-cpp <function> Cannot load image "data/labels/32_0.png" Cannot load image "data/labels/33_0.png" Cannot load image "data/labels/34_0.png" Cannot load image "data/labels/35_0.png" Cannot load image "data/labels/36_0.png" .... .... 12 conv 1024 3 x 3 / 1 13 x 13 x 512 -> 13 x 13 x1024 13 conv 1024 3 x 3 / 1 13 x 13 x1024 -> 13 x 13 x1024 14 conv 125 1 x 1 / 1 13 x 13 x1024 -> 13 x 13 x 125 15 detection Setup: net.n = 16 net.layers[0].batch = 8 Loading weights from tiny-yolo-voc.weights...mj = 0, mn = 1, *(net->seen) = 2566400 load_convolutional_weights: l.n*l.c*l.size*l.size = 432 load_convolutional_weights: l.n*l.c*l.size*l.size = 4608 load_convolutional_weights: l.n*l.c*l.size*l.size = 18432 load_convolutional_weights: l.n*l.c*l.size*l.size = 73728 load_convolutional_weights: l.n*l.c*l.size*l.size = 294912 load_convolutional_weights: l.n*l.c*l.size*l.size = 1179648 load_convolutional_weights: l.n*l.c*l.size*l.size = 4718592 load_convolutional_weights: l.n*l.c*l.size*l.size = 9437184 load_convolutional_weights: l.n*l.c*l.size*l.size = 128000 Done! test_detector: layers = 13, 13, 5 data/dog.jpg: Predicted in 0.189172 seconds. cat: 76% bird: 25% horse: 79%
@oreilc16 Thank you for opening this issue. Could you please tell me which CUDA/CUDNN version you are using?
@violivei
Sure: Driver Version: 384.111
CUDA Version 8.0.61
cuDNN 6.0
Hi,
I tried compiling darknet-cpp with GPU=1, CUDNN=1, OPENCV=1, DEBUG=1. I get the following error:
I successfully compile with CUDNN=0. I then ran the following:
I get no detections in the image (as in no bounding box) have I the wrong weights downloaded?
When using yolo-tiny I get the following: