Error with custom trained SSD
Hi all,
I've trained a SSD network with custom dataset. The input is a 300x169 image (simply a scaled down fullHD image). I've tested the trained network on Ubuntu 16.04 and caffe, and it correctly classify. When I switch to windows, and I use my trained network with the Opencv example, I get the following error:
Assertion failed ((bias && l->blobs.size() == 2) || (!bias && l->blobs.size() == 1)) in cv::dnn::initConvDeconvLayerFromCaffe
How can I resolve?
PS: I'm using OpenCV 3.3 compiled with extra module.
EDIT
As @dkurt suggested, I recompiled Opencv with the last release (3.3.1). I fixed the code in order to remove the deprecated function, and now when I run the program I get this error:
Assertion failed (blobs.size() != 0) in cv::dnn::ConvolutionLayerImpl::getMemoryShapes
if I run the net with the pretrained SSD prototxt, while I get
Assertion failed (fracpart == 0.0) in cv::dnn::experimental_dnn_v2::DictValue::get
with the prototxt generated from caffe.
Here are the links of the prototxt I use:
Original prototxt, generated with caffe: link text
Prototxt of the pretrained SSD downloaded from SSD repository, with changes in the layers to match the size of my images and the number of my classes: link text
