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Yolo3_tiny CUDNN works, TensorRT doesn't. Add n_masks to Yolo layer.

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Signed-off-by: Micaela Verucchi <micaelaverucchi@gmail.com>
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Micaela Verucchi
2019-12-05 20:43:48 +00:00
parent a2db98670a
commit 44b2bce3ff
5 changed files with 74 additions and 39 deletions
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src/Yolo.cpp
+8 -7
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@@ -11,19 +11,20 @@
namespace tk { namespace dnn {
Yolo::Yolo(Network *net, int classes, int num, std::string fname_weights) :
Yolo::Yolo(Network *net, int classes, int num, std::string fname_weights, int n_masks) :
Layer(net) {
this->classes = classes;
this->num = 3;
this->num = num;
this->n_masks = n_masks;
// load anchors
if(fname_weights != "") {
int seek = 0;
readBinaryFile(fname_weights, 3, &mask_h, &mask_d, seek);
seek += 3;
readBinaryFile(fname_weights, 3*num*2, &bias_h, &bias_d, seek);
for(int i=0; i<3*num*2; i++)
readBinaryFile(fname_weights, n_masks, &mask_h, &mask_d, seek);
seek += n_masks;
readBinaryFile(fname_weights, n_masks*num*2, &bias_h, &bias_d, seek);
for(int i=0; i<n_masks*num*2; i++)
printf("%f\n", bias_h[i]);
}
@@ -70,7 +71,7 @@ dnnType* Yolo::infer(dataDim_t &dim, dnnType* srcData) {
checkCuda( cudaMemcpy(dstData, srcData, dim.tot()*sizeof(dnnType), cudaMemcpyDeviceToDevice));
for (int b = 0; b < dim.n; ++b){
for(int n = 0; n < num; ++n){
for(int n = 0; n < n_masks; ++n){
int index = entry_index(b, n*dim.w*dim.h, 0, classes, input_dim, output_dim);
activationLOGISTICForward(srcData + index, dstData + index, 2*dim.w*dim.h);